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Donat-Vargas C, Mico V, San-Cristobal R, Martínez-González MÁ, Salas-Salvadó J, Corella D, Fitó M, Alonso-Gómez ÁM, Wärnberg J, Vioque J, Romaguera D, López-Miranda J, Estruch R, Damas-Fuentes M, Lapetra J, Serra-Majem L, Bueno-Cavanillas A, Tur JA, Cinza-Sanjurjo S, Pintó X, Delgado-Rodríguez M, Matía-Martín P, Vidal J, Causso C, Ros E, Toledo E, Manzanares JM, Ortega-Azorín C, Castañer O, Peña-Orihuela PJ, Zazo JM, Muñoz Bravo C, Martinez-Urbistondo D, Chaplin A, Casas R, Cano Ibáñez N, Tojal-Sierra L, Gómez-Perez AM, Pascual Roquet-Jalmar E, Mestre C, Barragán R, Schröder H, Garcia-Rios A, Candela García I, Ruiz-Canela M, Babio N, Malcampo M, Daimiel L, Martínez A. Dietary Iron, Anemia Markers, Cognition, and Quality of Life in Older Community-Dwelling Subjects at High Cardiovascular Risk. Nutrients 2023; 15:4440. [PMID: 37892515 PMCID: PMC10610130 DOI: 10.3390/nu15204440] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2023] [Revised: 10/05/2023] [Accepted: 10/10/2023] [Indexed: 10/29/2023] Open
Abstract
Anemia causes hypo-oxygenation in the brain, which could lead to cognitive disorders. We examined dietary iron intake as well as anemia markers (i.e., hemoglobin, hematocrit, mean corpuscular volume) and diabetes coexistence in relation to neuropsychological function and quality of life. In this study, 6117 community-dwelling adults aged 55-75 years (men) and 60-75 years (women) with overweight/obesity and metabolic syndrome were involved. We performed the Mini-Mental State Examination (MMSE), the Trail Making Test parts A and B (TMT-A/B), Semantic Verbal Fluency of animals (VFT-a), Phonological Verbal Fluency of letter P (VFT-p), Digit Span Test (DST), the Clock Drawing Test (CDT), and the Short Form-36 Health Survey (SF36-HRQL test). Dietary iron intake did not influence neuropsychological function or quality of life. However, anemia and lower levels of anemia markers were associated with worse scores in all neurophysiological and SF36-HRQL tests overall, but were especially clear in the MMSE, TMT-B (cognitive flexibility), and the physical component of the SF36-HRQL test. The relationships between anemia and diminished performance in the TMT-A/B and VFT tasks were notably pronounced and statistically significant solely among participants with diabetes. In brief, anemia and reduced levels of anemia markers were linked to inferior cognitive function, worse scores in different domains of executive function, as well as a poorer physical, but not mental, component of quality of life. It was also suggested that the coexistence of diabetes in anemic patients may exacerbate this negative impact on cognition. Nevertheless, dietary iron intake showed no correlation with any of the outcomes. To make conclusive recommendations for clinical practice, our findings need to be thoroughly tested through methodologically rigorous studies that minimize the risk of reverse causality.
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Affiliation(s)
- Carolina Donat-Vargas
- ISGlobal, Campus Mar, 08036 Barcelona, Spain
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, 28029 Madrid, Spain; (J.V.); (A.B.-C.); (N.C.I.); (H.S.)
| | - Víctor Mico
- Cardiometabolic Nutrition Group, IMDEA Food, CEI UAM + CSIC, 28049 Madrid, Spain; (V.M.); (R.S.-C.); (M.D.-R.)
| | - Rodrigo San-Cristobal
- Cardiometabolic Nutrition Group, IMDEA Food, CEI UAM + CSIC, 28049 Madrid, Spain; (V.M.); (R.S.-C.); (M.D.-R.)
| | - Miguel Ángel Martínez-González
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (D.C.); (M.F.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (M.D.-F.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (E.R.); (E.T.); (C.O.-A.); (P.J.P.-O.); (A.C.); (R.C.); (L.T.-S.); (A.M.G.-P.); (C.M.); (R.B.); (A.G.-R.); (M.R.-C.); (N.B.)
- Department of Preventive Medicine and Public Health, University of Navarra, IDISNA, 31008 Pamplona, Spain
- Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA 02115, USA
| | - Jordi Salas-Salvadó
- Unitat de Nutrició Humana, Departament de Bioquímica i Biotecnologia, Universitat Rovira i Virgili, 43201 Reus, Spain; (J.S.-S.); (J.M.M.)
- Food, Nutrition, Development and Mental Health Research Group, Institut d’Investigació Pere Virgili (IISPV), 43204 Reus, Spain
- Department of Preventive Medicine, University of Valencia, 46010 Valencia, Spain
| | - Dolores Corella
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (D.C.); (M.F.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (M.D.-F.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (E.R.); (E.T.); (C.O.-A.); (P.J.P.-O.); (A.C.); (R.C.); (L.T.-S.); (A.M.G.-P.); (C.M.); (R.B.); (A.G.-R.); (M.R.-C.); (N.B.)
- Department of Preventive Medicine, University of Valencia, 46010 Valencia, Spain
| | - Montserrat Fitó
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (D.C.); (M.F.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (M.D.-F.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (E.R.); (E.T.); (C.O.-A.); (P.J.P.-O.); (A.C.); (R.C.); (L.T.-S.); (A.M.G.-P.); (C.M.); (R.B.); (A.G.-R.); (M.R.-C.); (N.B.)
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d’Investigació Médica (IMIM), 08003 Barcelona, Spain; (O.C.); (M.M.)
| | - Ángel Maria Alonso-Gómez
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (D.C.); (M.F.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (M.D.-F.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (E.R.); (E.T.); (C.O.-A.); (P.J.P.-O.); (A.C.); (R.C.); (L.T.-S.); (A.M.G.-P.); (C.M.); (R.B.); (A.G.-R.); (M.R.-C.); (N.B.)
- Bioaraba Health Research Institute, Osakidetza Basque Health Service, Araba University Hospital, University of the Basque Country UPV/EHU, 01009 Vitoria-Gasteiz, Spain
| | - Julia Wärnberg
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (D.C.); (M.F.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (M.D.-F.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (E.R.); (E.T.); (C.O.-A.); (P.J.P.-O.); (A.C.); (R.C.); (L.T.-S.); (A.M.G.-P.); (C.M.); (R.B.); (A.G.-R.); (M.R.-C.); (N.B.)
- EpiPHAAN Research Group, Department of Nursing, School of Health Sciences, University of Málaga-IBIMA (Instituto de Investigación Biomédica de Málaga), 29071 Málaga, Spain
| | - Jesús Vioque
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, 28029 Madrid, Spain; (J.V.); (A.B.-C.); (N.C.I.); (H.S.)
- Instituto de Investigación Sanitaria y Biomédica de Alicante, Universidad Miguel Hernández (ISABIAL-UMH), 03010 Alicante, Spain
| | - Dora Romaguera
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (D.C.); (M.F.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (M.D.-F.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (E.R.); (E.T.); (C.O.-A.); (P.J.P.-O.); (A.C.); (R.C.); (L.T.-S.); (A.M.G.-P.); (C.M.); (R.B.); (A.G.-R.); (M.R.-C.); (N.B.)
- Health Research Institute of the Balearic Islands (IdISBa), 07120 Palma de Mallorca, Spain
| | - José López-Miranda
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (D.C.); (M.F.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (M.D.-F.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (E.R.); (E.T.); (C.O.-A.); (P.J.P.-O.); (A.C.); (R.C.); (L.T.-S.); (A.M.G.-P.); (C.M.); (R.B.); (A.G.-R.); (M.R.-C.); (N.B.)
- Lipids and Atherosclerosis Unit, Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, 14004 Córdoba, Spain
| | - Ramon Estruch
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (D.C.); (M.F.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (M.D.-F.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (E.R.); (E.T.); (C.O.-A.); (P.J.P.-O.); (A.C.); (R.C.); (L.T.-S.); (A.M.G.-P.); (C.M.); (R.B.); (A.G.-R.); (M.R.-C.); (N.B.)
- Department of Internal Medicine, Institut d’Investigació Biomèdica August Pi I Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, 08036 Barcelona, Spain
| | - Miguel Damas-Fuentes
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (D.C.); (M.F.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (M.D.-F.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (E.R.); (E.T.); (C.O.-A.); (P.J.P.-O.); (A.C.); (R.C.); (L.T.-S.); (A.M.G.-P.); (C.M.); (R.B.); (A.G.-R.); (M.R.-C.); (N.B.)
- Department of Endocrinology, Instituto de Investigación Biomédica de Málaga (IBIMA), Virgen de la Victoria Hospital, University of Málaga, 29016 Málaga, Spain
| | - José Lapetra
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (D.C.); (M.F.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (M.D.-F.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (E.R.); (E.T.); (C.O.-A.); (P.J.P.-O.); (A.C.); (R.C.); (L.T.-S.); (A.M.G.-P.); (C.M.); (R.B.); (A.G.-R.); (M.R.-C.); (N.B.)
- Department of Family Medicine, Research Unit, Distrito Sanitario Atención Primaria Sevilla, 41013 Sevilla, Spain
| | - Luís Serra-Majem
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (D.C.); (M.F.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (M.D.-F.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (E.R.); (E.T.); (C.O.-A.); (P.J.P.-O.); (A.C.); (R.C.); (L.T.-S.); (A.M.G.-P.); (C.M.); (R.B.); (A.G.-R.); (M.R.-C.); (N.B.)
- Research Institute of Biomedical and Health Sciences (IUIBS), University of Las Palmas de Gran Canaria, Preventive Medicine Service, Centro Hospitalario Universitario Insular Materno Infantil (CHUIMI), Canarian Health Service, 35016 Las Palmas, Spain
| | - Aurora Bueno-Cavanillas
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, 28029 Madrid, Spain; (J.V.); (A.B.-C.); (N.C.I.); (H.S.)
- Department of Preventive Medicine and Public Health, University of Granada, 18016 Granada, Spain
| | - Josep Antoni Tur
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (D.C.); (M.F.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (M.D.-F.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (E.R.); (E.T.); (C.O.-A.); (P.J.P.-O.); (A.C.); (R.C.); (L.T.-S.); (A.M.G.-P.); (C.M.); (R.B.); (A.G.-R.); (M.R.-C.); (N.B.)
- Health Research Institute of the Balearic Islands (IdISBa), 07120 Palma de Mallorca, Spain
- Research Group on Community Nutrition & Oxidative Stress, University of Balearic Islands, 07122 Palma de Mallorca, Spain
| | - Sergio Cinza-Sanjurjo
- CS Milladoiro, Área Sanitaria de Santiago de Compostela, 15706 Santiago de Compostela, Spain;
- Instituto de Investigación de Santiago de Compostela (IDIS), 15706 Santiago de Compostela, Spain
- Departamento de Medicina, Universidad de Santiago de Compostela, 15701 Santiago de Compostela, Spain
| | - Xavier Pintó
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (D.C.); (M.F.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (M.D.-F.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (E.R.); (E.T.); (C.O.-A.); (P.J.P.-O.); (A.C.); (R.C.); (L.T.-S.); (A.M.G.-P.); (C.M.); (R.B.); (A.G.-R.); (M.R.-C.); (N.B.)
- Lipids and Vascular Risk Unit, Internal Medicine, Hospital Universitario de Bellvitge, Hospitalet de Llobregat, 08907 Barcelona, Spain
| | - Miguel Delgado-Rodríguez
- Cardiometabolic Nutrition Group, IMDEA Food, CEI UAM + CSIC, 28049 Madrid, Spain; (V.M.); (R.S.-C.); (M.D.-R.)
- Division of Preventive Medicine, Faculty of Medicine, University of Jaén, 23071 Jaén, Spain
| | - Pilar Matía-Martín
- Department of Endocrinology and Nutrition, Instituto de Investigación Sanitaria Hospital Clínico San Carlos (IdISSC), 28040 Madrid, Spain;
| | - Josep Vidal
- Department of Endocrinology, IDIBAPS, Hospital Clinic, University of Barcelona, 08036 Barcelona, Spain;
- Biomedical Research Centre for Diabetes and Metabolic Diseases Network (CIBERDEM), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain
| | - Claudia Causso
- Servicio de Endocrinologia Hospital General de Villalba, 28400 Madrid, Spain;
| | - Emilio Ros
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (D.C.); (M.F.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (M.D.-F.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (E.R.); (E.T.); (C.O.-A.); (P.J.P.-O.); (A.C.); (R.C.); (L.T.-S.); (A.M.G.-P.); (C.M.); (R.B.); (A.G.-R.); (M.R.-C.); (N.B.)
- Lipid Clinic, Department of Endocrinology and Nutrition, Institut d’Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clínic, 08036 Barcelona, Spain
| | - Estefanía Toledo
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (D.C.); (M.F.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (M.D.-F.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (E.R.); (E.T.); (C.O.-A.); (P.J.P.-O.); (A.C.); (R.C.); (L.T.-S.); (A.M.G.-P.); (C.M.); (R.B.); (A.G.-R.); (M.R.-C.); (N.B.)
- Department of Preventive Medicine and Public Health, University of Navarra, IDISNA, 31008 Pamplona, Spain
| | - Josep Maria Manzanares
- Unitat de Nutrició Humana, Departament de Bioquímica i Biotecnologia, Universitat Rovira i Virgili, 43201 Reus, Spain; (J.S.-S.); (J.M.M.)
| | - Carolina Ortega-Azorín
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (D.C.); (M.F.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (M.D.-F.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (E.R.); (E.T.); (C.O.-A.); (P.J.P.-O.); (A.C.); (R.C.); (L.T.-S.); (A.M.G.-P.); (C.M.); (R.B.); (A.G.-R.); (M.R.-C.); (N.B.)
- Department of Preventive Medicine, University of Valencia, 46010 Valencia, Spain
| | - Olga Castañer
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d’Investigació Médica (IMIM), 08003 Barcelona, Spain; (O.C.); (M.M.)
| | - Patricia Judith Peña-Orihuela
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (D.C.); (M.F.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (M.D.-F.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (E.R.); (E.T.); (C.O.-A.); (P.J.P.-O.); (A.C.); (R.C.); (L.T.-S.); (A.M.G.-P.); (C.M.); (R.B.); (A.G.-R.); (M.R.-C.); (N.B.)
- Lipids and Atherosclerosis Unit, Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, 14004 Córdoba, Spain
| | - Juan Manuel Zazo
- Department of Preventive Medicine and Public Health, School of Medicine, Instituto de Investigación Biomédica de Málaga, University of Málaga, 29590 Málaga, Spain;
| | - Carlos Muñoz Bravo
- Department of Public Health and Psychiatry, University of Malaga-IBIMA (Instituto de Investigación Biomédica de Málaga), 29071 Málaga, Spain
| | | | - Alice Chaplin
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (D.C.); (M.F.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (M.D.-F.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (E.R.); (E.T.); (C.O.-A.); (P.J.P.-O.); (A.C.); (R.C.); (L.T.-S.); (A.M.G.-P.); (C.M.); (R.B.); (A.G.-R.); (M.R.-C.); (N.B.)
- Health Research Institute of the Balearic Islands (IdISBa), 07120 Palma de Mallorca, Spain
| | - Rosa Casas
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (D.C.); (M.F.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (M.D.-F.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (E.R.); (E.T.); (C.O.-A.); (P.J.P.-O.); (A.C.); (R.C.); (L.T.-S.); (A.M.G.-P.); (C.M.); (R.B.); (A.G.-R.); (M.R.-C.); (N.B.)
- Department of Internal Medicine, Institut d’Investigació Biomèdica August Pi I Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, 08036 Barcelona, Spain
| | - Naomi Cano Ibáñez
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, 28029 Madrid, Spain; (J.V.); (A.B.-C.); (N.C.I.); (H.S.)
- Department of Preventive Medicine and Public Health, University of Granada, 18016 Granada, Spain
- Instituto de Investigación Biosanitaria ibs.Granada, 18012 Granada, Spain
| | - Lucas Tojal-Sierra
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (D.C.); (M.F.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (M.D.-F.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (E.R.); (E.T.); (C.O.-A.); (P.J.P.-O.); (A.C.); (R.C.); (L.T.-S.); (A.M.G.-P.); (C.M.); (R.B.); (A.G.-R.); (M.R.-C.); (N.B.)
- Bioaraba Health Research Institute, Osakidetza Basque Health Service, Araba University Hospital, University of the Basque Country UPV/EHU, 01009 Vitoria-Gasteiz, Spain
| | - Ana María Gómez-Perez
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (D.C.); (M.F.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (M.D.-F.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (E.R.); (E.T.); (C.O.-A.); (P.J.P.-O.); (A.C.); (R.C.); (L.T.-S.); (A.M.G.-P.); (C.M.); (R.B.); (A.G.-R.); (M.R.-C.); (N.B.)
- Department of Endocrinology, Instituto de Investigación Biomédica de Málaga (IBIMA), Virgen de la Victoria Hospital, University of Málaga, 29016 Málaga, Spain
| | | | - Cristina Mestre
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (D.C.); (M.F.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (M.D.-F.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (E.R.); (E.T.); (C.O.-A.); (P.J.P.-O.); (A.C.); (R.C.); (L.T.-S.); (A.M.G.-P.); (C.M.); (R.B.); (A.G.-R.); (M.R.-C.); (N.B.)
- Unitat de Nutrició Humana, Departament de Bioquímica i Biotecnologia, Universitat Rovira i Virgili, 43201 Reus, Spain; (J.S.-S.); (J.M.M.)
- Food, Nutrition, Development and Mental Health Research Group, Institut d’Investigació Pere Virgili (IISPV), 43204 Reus, Spain
| | - Rocío Barragán
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (D.C.); (M.F.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (M.D.-F.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (E.R.); (E.T.); (C.O.-A.); (P.J.P.-O.); (A.C.); (R.C.); (L.T.-S.); (A.M.G.-P.); (C.M.); (R.B.); (A.G.-R.); (M.R.-C.); (N.B.)
- Department of Preventive Medicine, University of Valencia, 46010 Valencia, Spain
| | - Helmut Schröder
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, 28029 Madrid, Spain; (J.V.); (A.B.-C.); (N.C.I.); (H.S.)
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d’Investigació Médica (IMIM), 08003 Barcelona, Spain; (O.C.); (M.M.)
| | - Antonio Garcia-Rios
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (D.C.); (M.F.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (M.D.-F.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (E.R.); (E.T.); (C.O.-A.); (P.J.P.-O.); (A.C.); (R.C.); (L.T.-S.); (A.M.G.-P.); (C.M.); (R.B.); (A.G.-R.); (M.R.-C.); (N.B.)
- Lipids and Atherosclerosis Unit, Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, 14004 Córdoba, Spain
| | | | - Miguel Ruiz-Canela
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (D.C.); (M.F.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (M.D.-F.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (E.R.); (E.T.); (C.O.-A.); (P.J.P.-O.); (A.C.); (R.C.); (L.T.-S.); (A.M.G.-P.); (C.M.); (R.B.); (A.G.-R.); (M.R.-C.); (N.B.)
- Department of Preventive Medicine and Public Health, University of Navarra, IDISNA, 31008 Pamplona, Spain
| | - Nancy Babio
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (D.C.); (M.F.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (M.D.-F.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (E.R.); (E.T.); (C.O.-A.); (P.J.P.-O.); (A.C.); (R.C.); (L.T.-S.); (A.M.G.-P.); (C.M.); (R.B.); (A.G.-R.); (M.R.-C.); (N.B.)
- Unitat de Nutrició Humana, Departament de Bioquímica i Biotecnologia, Universitat Rovira i Virgili, 43201 Reus, Spain; (J.S.-S.); (J.M.M.)
- Food, Nutrition, Development and Mental Health Research Group, Institut d’Investigació Pere Virgili (IISPV), 43204 Reus, Spain
| | - Mireia Malcampo
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d’Investigació Médica (IMIM), 08003 Barcelona, Spain; (O.C.); (M.M.)
| | - Lidia Daimiel
- Nutritional Control of the Epigenome Group, Precision Nutrition and Obesity Program, IMDEA Food, CEI UAM + CSIC, 28049 Madrid, Spain;
| | - Alfredo Martínez
- Cardiometabolic Nutrition Group, IMDEA Food, CEI UAM + CSIC, 28049 Madrid, Spain; (V.M.); (R.S.-C.); (M.D.-R.)
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (D.C.); (M.F.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (M.D.-F.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (E.R.); (E.T.); (C.O.-A.); (P.J.P.-O.); (A.C.); (R.C.); (L.T.-S.); (A.M.G.-P.); (C.M.); (R.B.); (A.G.-R.); (M.R.-C.); (N.B.)
- Department of Nutrition, Food Sciences and Physiology, University of Navarra, 31008 Pamplona, Spain
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Konieczna J, Ruiz-Canela M, Galmes-Panades AM, Abete I, Babio N, Fiol M, Martín-Sánchez V, Estruch R, Vidal J, Buil-Cosiales P, García-Gavilán JF, Moñino M, Marcos-Delgado A, Casas R, Olbeyra R, Fitó M, Hu FB, Martínez-Gonzalez MÁ, Martínez JA, Romaguera D, Salas-Salvadó J. An Energy-Reduced Mediterranean Diet, Physical Activity, and Body Composition: An Interim Subgroup Analysis of the PREDIMED-Plus Randomized Clinical Trial. JAMA Netw Open 2023; 6:e2337994. [PMID: 37851444 PMCID: PMC10585413 DOI: 10.1001/jamanetworkopen.2023.37994] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/06/2023] [Accepted: 09/01/2023] [Indexed: 10/19/2023] Open
Abstract
Importance Strategies targeting body composition may help prevent chronic diseases in persons with excess weight, but randomized clinical trials evaluating lifestyle interventions have rarely reported effects on directly quantified body composition. Objective To evaluate the effects of a lifestyle weight-loss intervention on changes in overall and regional body composition. Design, Setting, and Participants The ongoing Prevención con Dieta Mediterránea-Plus (PREDIMED-Plus) randomized clinical trial is designed to test the effect of the intervention on cardiovascular disease prevention after 8 years of follow-up. The trial is being conducted in 23 Spanish research centers and includes men and women (age 55-75 years) with body mass index between 27 and 40 and metabolic syndrome. The trial reported herein is an interim subgroup analysis of the intermediate outcome body composition after 3-year follow-up, and data analysis was conducted from February 1 to November 30, 2022. Of 6874 total PREDIMED-Plus participants, a subsample of 1521 individuals, coming from centers with access to a dual energy x-ray absorptiometry device, underwent body composition measurements at 3 time points. Intervention Participants were randomly allocated to a multifactorial intervention based on an energy-reduced Mediterranean diet (MedDiet) and increased physical activity (PA) or to a control group based on usual care, with advice to follow an ad libitum MedDiet, but no physical activity promotion. Main Outcomes and Measures The outcomes (continuous) were 3-year changes in total fat and lean mass (expressed as percentages of body mass) and visceral fat (in grams), tested using multivariable linear mixed-effects models. Clinical relevance of changes in body components (dichotomous) was assessed based on 5% or more improvements in baseline values, using logistic regression. Main analyses were performed in the evaluable population (completers only) and in sensitivity analyses, multiple imputation was performed to include data of participants lost to follow-up (intention-to-treat analyses). Results A total of 1521 individuals were included (mean [SD] age, 65.3 [5.0] years; 52.1% men). In comparison with the control group (n=761), participants in the intervention arm (n=760) showed greater reductions in the percentage of total fat (between group differences after 1-year, -0.94% [95% CI, -1.19 to -0.69]; 3 years, -0.38% [95% CI, -0.64 to -0.12] and visceral fat storage after 1 year, -126 g [95% CI, -179 to -73.3 g]; 3 years, -70.4 g [95% CI, -126 to -15.2 g] and greater increases in the percentage of total lean mass at 1 year, 0.88% [95% CI, 0.63%-1.12%]; 3-years 0.34% [95% CI, 0.09%-0.60%]). The intervention group was more likely to show improvements of 5% or more in baseline body components (absolute risk reduction after 1 year, 13% for total fat mass, 11% for total lean mass, and 14% for visceral fat mass; after 3-years: 6% for total fat mass, 6% for total lean mass, and 8% for visceral fat mass). The number of participants needed to treat was between 12 and 17 to attain at least 1 individual with possibly clinically meaningful improvements in body composition. Conclusions and Relevance The findings of this trial suggest a weight-loss lifestyle intervention based on an energy-reduced MedDiet and physical activity significantly reduced total and visceral fat and attenuated age-related losses of lean mass in older adults with overweight or obesity and metabolic syndrome. Continued follow-up is warranted to confirm the long-term consequences of these changes on cardiovascular clinical end points. Trial Registration isrctn.org Identifier: ISRCTN89898870.
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Affiliation(s)
- Jadwiga Konieczna
- Research Group on Nutritional Epidemiology & Cardiovascular Physiopathology, Health Research Institute of the Balearic Islands, University Hospital Son Espases, Palma de Mallorca, Spain
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición, Institute of Health Carlos III, Madrid, Spain
| | - Miguel Ruiz-Canela
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición, Institute of Health Carlos III, Madrid, Spain
- Department of Preventive Medicine and Public Health, IDISNA, University of Navarra, Pamplona, Spain
| | - Aina M. Galmes-Panades
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición, Institute of Health Carlos III, Madrid, Spain
- Global Health Research Group, Health Research Institute of the Balearic Islands, University of the Balearic Islands, Palma de Mallorca, Spain
| | - Itziar Abete
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición, Institute of Health Carlos III, Madrid, Spain
- Department of Nutrition, Food Sciences, and Physiology, University of Navarra, Pamplona, Spain
| | - Nancy Babio
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición, Institute of Health Carlos III, Madrid, Spain
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Alimentaciò, Nutrició Desenvolupament i Salut Mental ANUT-DSM, Reus, Spain
- Institut d’Investigació Pere Virgili, Reus, Spain
| | - Miquel Fiol
- Research Group on Nutritional Epidemiology & Cardiovascular Physiopathology, Health Research Institute of the Balearic Islands, University Hospital Son Espases, Palma de Mallorca, Spain
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición, Institute of Health Carlos III, Madrid, Spain
| | - Vicente Martín-Sánchez
- CIBER de Epidemiología y Salud Pública, Instituto de Salud Carlos III, Madrid, Spain
- Institute of Biomedicine, University of León, León, Spain
| | - Ramón Estruch
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición, Institute of Health Carlos III, Madrid, Spain
- Department of Internal Medicine, IDIBAPS, Hospital Clinic, University of Barcelona, Barcelona, Spain
- Institut de Recerca en Nutrició i Seguretat Alimentaria, University of Barcelona, Barcelona, Spain
| | - Josep Vidal
- CIBER Diabetes y Enfermedades Metabólicas, Instituto de Salud Carlos III, Madrid, Spain
- Department of Endocrinology, Institut d’Investigacions Biomédiques August Pi Sunyer, Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - Pilar Buil-Cosiales
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición, Institute of Health Carlos III, Madrid, Spain
- Department of Preventive Medicine and Public Health, IDISNA, University of Navarra, Pamplona, Spain
- Primary Care Services, Navarra Regional Health Service, Pamplona, Spain
| | - Jesús F. García-Gavilán
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición, Institute of Health Carlos III, Madrid, Spain
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Alimentaciò, Nutrició Desenvolupament i Salut Mental ANUT-DSM, Reus, Spain
- Institut d’Investigació Pere Virgili, Reus, Spain
| | - Manuel Moñino
- Research Group on Nutritional Epidemiology & Cardiovascular Physiopathology, Health Research Institute of the Balearic Islands, University Hospital Son Espases, Palma de Mallorca, Spain
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición, Institute of Health Carlos III, Madrid, Spain
| | | | - Rosa Casas
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición, Institute of Health Carlos III, Madrid, Spain
- Department of Internal Medicine, IDIBAPS, Hospital Clinic, University of Barcelona, Barcelona, Spain
- Institut de Recerca en Nutrició i Seguretat Alimentaria, University of Barcelona, Barcelona, Spain
| | - Romina Olbeyra
- Department of Endocrinology, Institut d’Investigacions Biomédiques August Pi Sunyer, Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - Montserrat Fitó
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición, Institute of Health Carlos III, Madrid, Spain
- Cardiovascular Risk and Nutrition Research Group, Hospital del Mar Medical Research Institute, Barcelona, Spain
| | - Frank B. Hu
- Channing Division of Network Medicine, Department of Medicine, Brigham & Women’s Hospital and Harvard Medical School, Boston, Massachusetts
- Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, Massachusetts
| | - Miguel Ángel Martínez-Gonzalez
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición, Institute of Health Carlos III, Madrid, Spain
- Department of Preventive Medicine and Public Health, IDISNA, University of Navarra, Pamplona, Spain
- Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, Massachusetts
| | - J. Alfredo Martínez
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición, Institute of Health Carlos III, Madrid, Spain
- Department of Nutrition, Food Sciences, and Physiology, University of Navarra, Pamplona, Spain
- Precision Nutrition and Cardiometabolic Health Program, IMDEA Food, CEI UAM + CSIC, Madrid, Spain
| | - Dora Romaguera
- Research Group on Nutritional Epidemiology & Cardiovascular Physiopathology, Health Research Institute of the Balearic Islands, University Hospital Son Espases, Palma de Mallorca, Spain
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición, Institute of Health Carlos III, Madrid, Spain
| | - Jordi Salas-Salvadó
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición, Institute of Health Carlos III, Madrid, Spain
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Alimentaciò, Nutrició Desenvolupament i Salut Mental ANUT-DSM, Reus, Spain
- Institut d’Investigació Pere Virgili, Reus, Spain
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Charneca S, Ferro M, Vasques J, Carolino E, Martins-Martinho J, Duarte-Monteiro AM, Dourado E, Fonseca JE, Guerreiro CS. The Mediterranean diet, and not dietary inflammatory index, is associated with rheumatoid arthritis disease activity, the impact of disease and functional disability. Eur J Nutr 2023; 62:2827-2839. [PMID: 37355497 DOI: 10.1007/s00394-023-03196-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2023] [Accepted: 06/13/2023] [Indexed: 06/26/2023]
Abstract
PURPOSE To assess the relationship between adherence to the Mediterranean Diet (MD) /individual Dietary Inflammatory Index (DII) and disease activity, disease impact, and functional status in Rheumatoid Arthritis (RA) patients. METHODS RA patients followed at a hospital in Lisbon, Portugal, were recruited. DII was calculated using dietary intake data collected with a food frequency questionnaire (FFQ). Adherence to the MD was obtained using the 14-item Mediterranean Diet assessment tool. Disease Activity Score of 28 Joints (DAS28) and the DAS28 calculated with C-Reactive Protein (DAS28-CRP) were used to assess disease activity. Impact of disease and functional status were evaluated using the Rheumatoid Arthritis Impact of Disease (RAID) questionnaire and the Health Assessment Questionnaire (HAQ), respectively. RESULTS 120 patients (73.3% female, 61.8 ± 10.1 years of age) were included. Patients with higher adherence to the MD had significantly lower DAS28-CRP (median 3.27(2.37) vs 2.77(1.49), p = 0.030), RAID (median 5.65(2.38) vs 3.51(4.51), p = 0.032) and HAQ (median 1.00(0.56) vs 0.56(1.03), p = 0.013) scores. Higher adherence to the MD reduced the odds of having a higher DAS28 by 70% (OR = 0.303, 95%CI = (0.261, 0.347), p = 0.003). Lower adherence to MD was associated with higher DAS28-CRP (β = - 0.164, p = 0.001), higher RAID (β = - 0.311, p < 0.0001), and higher HAQ scores (β = - 0.089, p = 0.001), irrespective of age, gender, BMI and pharmacological therapy. Mean DII of our cohort was not significantly different from the Portuguese population (0.00 ± 0.17 vs - 0.10 ± 1.46, p = 0.578). No associations between macronutrient intake or DII and RA outcomes were found. CONCLUSIONS Higher adherence to the MD was associated with lower disease activity, lower impact of disease, and lower functional disability in RA patients.
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Affiliation(s)
- Sofia Charneca
- Laboratório de Nutrição, Faculdade de Medicina, Universidade de Lisboa, Centro Académico de Medicina de Lisboa, Lisbon, Portugal
| | - Margarida Ferro
- Laboratório de Nutrição, Faculdade de Medicina, Universidade de Lisboa, Centro Académico de Medicina de Lisboa, Lisbon, Portugal
| | - João Vasques
- Laboratório de Nutrição, Faculdade de Medicina, Universidade de Lisboa, Centro Académico de Medicina de Lisboa, Lisbon, Portugal
| | - Elisabete Carolino
- H&TRC- Health & Technology Research Center, ESTeSL-Escola Superior de Tecnologia da Saúde, Instituto Politécnico de Lisboa, Lisbon, Portugal
| | - Joana Martins-Martinho
- Serviço de Reumatologia, Centro Hospitalar Universitário Lisboa Norte, Centro Académico de Medicina de Lisboa, Lisbon, Portugal
- Instituto de Medicina Molecular, Faculdade de Medicina, Universidade de Lisboa, Centro Académico de Medicina de Lisboa, Avenida Professor Egas Moniz, 1649-028, Lisbon, Portugal
| | - Ana Margarida Duarte-Monteiro
- Serviço de Reumatologia, Centro Hospitalar Universitário Lisboa Norte, Centro Académico de Medicina de Lisboa, Lisbon, Portugal
- Instituto de Medicina Molecular, Faculdade de Medicina, Universidade de Lisboa, Centro Académico de Medicina de Lisboa, Avenida Professor Egas Moniz, 1649-028, Lisbon, Portugal
| | - Eduardo Dourado
- Serviço de Reumatologia, Centro Hospitalar Universitário Lisboa Norte, Centro Académico de Medicina de Lisboa, Lisbon, Portugal.
- Instituto de Medicina Molecular, Faculdade de Medicina, Universidade de Lisboa, Centro Académico de Medicina de Lisboa, Avenida Professor Egas Moniz, 1649-028, Lisbon, Portugal.
| | - João Eurico Fonseca
- Serviço de Reumatologia, Centro Hospitalar Universitário Lisboa Norte, Centro Académico de Medicina de Lisboa, Lisbon, Portugal
- Instituto de Medicina Molecular, Faculdade de Medicina, Universidade de Lisboa, Centro Académico de Medicina de Lisboa, Avenida Professor Egas Moniz, 1649-028, Lisbon, Portugal
| | - Catarina Sousa Guerreiro
- Laboratório de Nutrição, Faculdade de Medicina, Universidade de Lisboa, Centro Académico de Medicina de Lisboa, Lisbon, Portugal
- Instituto de Saúde Ambiental, Faculdade de Medicina, Universidade de Lisboa, Centro Académico de Medicina de Lisboa, Lisbon, Portugal
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Buso MEC, Brouwer-Brolsma EM, Naomi ND, Ngo J, Soedamah-Muthu SS, Mavrogianni C, Harrold JA, Halford JCG, Raben A, Geleijnse JM, Manios Y, Serra-Majem L, Feskens EJM. Sugar and low/no-calorie-sweetened beverage consumption and associations with body weight and waist circumference changes in five European cohort studies: the SWEET project. Eur J Nutr 2023; 62:2905-2918. [PMID: 37407857 PMCID: PMC10468933 DOI: 10.1007/s00394-023-03192-y] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2022] [Accepted: 06/02/2023] [Indexed: 07/07/2023]
Abstract
PURPOSE Results of prospective studies investigating associations between low/no-calorie sweeteners (LNCS) and body weight-related outcomes are inconclusive. We conducted dose-response and theoretical replacement individual patient data meta-analyses using harmonised prospective data to evaluate associations between sugar-sweetened beverage (SSB) consumption, low/no-calorie sweetened beverage (LNCB) consumption, and changes in body weight and waist circumference. METHODS Individual participant data were obtained from five European studies, i.e., Lifelines Cohort Study, NQplus study, Alpha Omega Cohort, Predimed-Plus study, and Feel4diabetes study, including 82,719 adults aged 18-89 with follow-up between 1 and 9 years. Consumption of SSB and LNCB was assessed using food-frequency questionnaires. Multiple regression analyses adjusting for major confounders and including substitution models were conducted to quantify associations in individual cohorts; random-effects meta-analyses were performed to pool individual estimates. RESULTS Overall, pooled results showed weak adverse associations between SSB consumption and changes in body weight (+ 0.02 kg/y, 95%CI 0.00; 0.04) and waist circumference (+ 0.03 cm/y, 95%CI 0.01; 0.05). LNCB consumption was associated with higher weight gain (+ 0.06 kg/y, 95%CI 0.04; 0.08) but not with waist circumference. No clear associations were observed for any theoretical replacements, i.e., LNCB or water for SSB or water for LNCB. CONCLUSION In conclusion, this analysis of five European studies found a weak positive association between SSB consumption and weight and waist change, whilst LNCB consumption was associated with weight change only. Theoretical substitutions did not show any clear association. Thus, the benefit of LNCBs as an alternative to SSBs remains unclear.
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Affiliation(s)
- Marion E C Buso
- Division of Human Nutrition and Health, Wageningen University and Research, BP 17, 6700AA, Wageningen, The Netherlands
| | - Elske M Brouwer-Brolsma
- Division of Human Nutrition and Health, Wageningen University and Research, BP 17, 6700AA, Wageningen, The Netherlands
| | - Novita D Naomi
- Division of Human Nutrition and Health, Wageningen University and Research, BP 17, 6700AA, Wageningen, The Netherlands
| | - Joy Ngo
- Nutrition Research Foundation - Fundación para la Investigación Nutricional, Barcelona, Spain
| | - Sabita S Soedamah-Muthu
- Department of Medical and Clinical Psychology, Center of Research on Psychological and Somatic Disorders (CORPS), Tilburg University, Tilburg, The Netherlands
- Institute for Food, Nutrition and Health, University of Reading, Reading, UK
| | - Christina Mavrogianni
- Department of Nutrition and Dietetics, School of Health Science and Education, Harokopio University, Athens, Greece
- Institute of Agri-Food and Life Sciences, Hellenic Mediterranean University Research Centre, Heraklion, Greece
| | - Joanne A Harrold
- Department of Psychology, University of Liverpool, Liverpool, UK
| | - Jason C G Halford
- Department of Psychology, University of Liverpool, Liverpool, UK
- School of Psychology, University of Leeds, Leeds, UK
| | - Anne Raben
- Department of Nutrition, Exercise, and Sports, Faculty of Science, University of Copenhagen, Copenhagen, Denmark
- Clinical Research, Copenhagen University Hospital - Steno Diabetes Center Copenhagen, Herlev, Denmark
| | - Johanna M Geleijnse
- Division of Human Nutrition and Health, Wageningen University and Research, BP 17, 6700AA, Wageningen, The Netherlands
| | - Yannis Manios
- Department of Nutrition and Dietetics, School of Health Science and Education, Harokopio University, Athens, Greece
- Institute of Agri-Food and Life Sciences, Hellenic Mediterranean University Research Centre, Heraklion, Greece
| | - Luis Serra-Majem
- Nutrition Research Foundation - Fundación para la Investigación Nutricional, Barcelona, Spain
- Research Institute of Biomedical and Health Sciences (IUIBS), Preventive Medicine Service, Centro Hospitalario Universitario Insular Materno Infantil (CHUIMI), Canarian Health Service, University of Las Palmas de Gran Canaria, Las Palmas, Spain
- Centro de Investigación Biomédica en Red Fisiopatologia de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Edith J M Feskens
- Division of Human Nutrition and Health, Wageningen University and Research, BP 17, 6700AA, Wageningen, The Netherlands.
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Rios S, García-Gavilán JF, Babio N, Paz-Graniel I, Ruiz-Canela M, Liang L, Clish CB, Toledo E, Corella D, Estruch R, Ros E, Fitó M, Arós F, Fiol M, Guasch-Ferré M, Santos-Lozano JM, Li J, Razquin C, Martínez-González MÁ, Hu FB, Salas-Salvadó J. Plasma metabolite profiles associated with the World Cancer Research Fund/American Institute for Cancer Research lifestyle score and future risk of cardiovascular disease and type 2 diabetes. Cardiovasc Diabetol 2023; 22:252. [PMID: 37716984 PMCID: PMC10505328 DOI: 10.1186/s12933-023-01912-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/24/2023] [Accepted: 07/01/2023] [Indexed: 09/18/2023] Open
Abstract
BACKGROUND A healthy lifestyle (HL) has been inversely related to type 2 diabetes (T2D) and cardiovascular disease (CVD). However, few studies have identified a metabolite profile associated with HL. The present study aims to identify a metabolite profile of a HL score and assess its association with the incidence of T2D and CVD in individuals at high cardiovascular risk. METHODS In a subset of 1833 participants (age 55-80y) of the PREDIMED study, we estimated adherence to a HL using a composite score based on the 2018 Word Cancer Research Fund/American Institute for Cancer Research recommendations. Plasma metabolites were analyzed using LC-MS/MS methods at baseline (discovery sample) and 1-year of follow-up (validation sample). Cross-sectional associations between 385 known metabolites and the HL score were assessed using elastic net regression. A 10-cross-validation procedure was used, and correlation coefficients or AUC were assessed between the identified metabolite profiles and the self-reported HL score. We estimated the associations between the identified metabolite profiles and T2D and CVD using multivariable Cox regression models. RESULTS The metabolite profiles that identified HL as a dichotomous or continuous variable included 24 and 58 metabolites, respectively. These are amino acids or derivatives, lipids, and energy intermediates or xenobiotic compounds. After adjustment for potential confounders, baseline metabolite profiles were associated with a lower risk of T2D (hazard ratio [HR] and 95% confidence interval (CI): 0.54, 0.38-0.77 for dichotomous HL, and 0.22, 0.11-0.43 for continuous HL). Similar results were observed with CVD (HR, 95% CI: 0.59, 0.42-0.83 for dichotomous HF and HR, 95%CI: 0.58, 0.31-1.07 for continuous HL). The reduction in the risk of T2D and CVD was maintained or attenuated, respectively, for the 1-year metabolomic profile. CONCLUSIONS In an elderly population at high risk of CVD, a set of metabolites was selected as potential metabolites associated with the HL pattern predicting the risk of T2D and, to a lesser extent, CVD. These results support previous findings that some of these metabolites are inversely associated with the risk of T2D and CVD. TRIAL REGISTRATION The PREDIMED trial was registered at ISRCTN ( http://www.isrctn.com/ , ISRCTN35739639).
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Affiliation(s)
- Santiago Rios
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Alimentaciò, Nutrició Desenvolupament i Salut Mental ANUT-DSM, Reus, Spain
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain
- Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
| | - Jesús F García-Gavilán
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Alimentaciò, Nutrició Desenvolupament i Salut Mental ANUT-DSM, Reus, Spain.
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain.
- Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain.
| | - Nancy Babio
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Alimentaciò, Nutrició Desenvolupament i Salut Mental ANUT-DSM, Reus, Spain
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain
- Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
| | - Indira Paz-Graniel
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Alimentaciò, Nutrició Desenvolupament i Salut Mental ANUT-DSM, Reus, Spain
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain
- Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
| | - Miguel Ruiz-Canela
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain
- Department of Preventive Medicine and Public Health, University of Navarra, IdiSNA, Pamplona, Spain
| | - Liming Liang
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Clary B Clish
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Estefania Toledo
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain
- Department of Preventive Medicine and Public Health, University of Navarra, IdiSNA, Pamplona, Spain
| | - Dolores Corella
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain
- Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - Ramón Estruch
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain
- Department of Internal Medicine, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clínic, Barcelona, Spain
| | - Emilio Ros
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain
- Department of Endocrinology and Nutrition, Lipid Clinic, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clínic, Barcelona, Spain
| | - Montserrat Fitó
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d'Investigació Médica (IMIM), Barcelona, Spain
| | - Fernando Arós
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain
- Department of Cardiology, Hospital Universitario de Álava, Vitoria, Spain
| | - Miquel Fiol
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain
- Health Research Institute of the Balearic Islands (IdISBa), Hospital Son Espases, Palma de Mallorca, Spain
| | - Marta Guasch-Ferré
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Public Health and Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - José M Santos-Lozano
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain
- Research Unit, Department of Family Medicine, Distrito Sanitario Atención Primaria Sevilla, Sevilla, Spain
| | - Jun Li
- Department of Preventive Medicine and Public Health, University of Navarra, IdiSNA, Pamplona, Spain
- Health Research Institute of the Balearic Islands (IdISBa), Hospital Son Espases, Palma de Mallorca, Spain
| | - Cristina Razquin
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain
- Department of Preventive Medicine and Public Health, University of Navarra, IdiSNA, Pamplona, Spain
| | - Miguel Ángel Martínez-González
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain
- Department of Preventive Medicine and Public Health, University of Navarra, IdiSNA, Pamplona, Spain
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Frank B Hu
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Jordi Salas-Salvadó
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Alimentaciò, Nutrició Desenvolupament i Salut Mental ANUT-DSM, Reus, Spain.
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain.
- Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain.
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Ramírez-Garza SL, Laveriano-Santos EP, Moreno JJ, Bodega P, de Cos-Gandoy A, de Miguel M, Santos-Beneit G, Fernández-Alvira JM, Fernández-Jiménez R, Martínez-Gómez J, Ruiz-León AM, Estruch R, Lamuela-Raventós RM, Tresserra-Rimbau A. Metabolic syndrome, adiposity, diet, and emotional eating are associated with oxidative stress in adolescents. Front Nutr 2023; 10:1216445. [PMID: 37789897 PMCID: PMC10543258 DOI: 10.3389/fnut.2023.1216445] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2023] [Accepted: 08/15/2023] [Indexed: 10/05/2023] Open
Abstract
Background Metabolic syndrome (MS), a condition related to adiposity and oxidative stress, can develop in adolescence, a critical stage in life that impacts health in adulthood. However, there is scarce scientific research about the relationship between lifestyle factors, emotion management, and oxidative stress in this phase of life. Aim To analyze whether nutritional parameters, lifestyle factors, emotion management, and MS in adolescents are associated with oxidative stress measured by the biomarker 8-isoprostane. Methods A cross-sectional study was carried out in 132 adolescents (48.5% girls, aged 12 ± 0.48 years) and data were collected on nutritional parameters (anthropometric measurements, biochemical analyzes, and blood pressure), lifestyle factors (physical activity, sleep, and diet), and emotion management (self-esteem, emotional eating, and mood). 8-isoprostane was analyzed in spot urine samples. The study population was categorized in three groups (healthy, at-risk, and with MS) using the International Diabetes Federation definition of MS in adolescents. To capture more complex interactions, a multiple linear regression was used to analyze the association between 8-isoprostane and the aforementioned variables. Results Urinary 8-isoprostane levels were significantly higher in the MS group compared to the healthy group (1,280 ± 543 pg./mg vs. 950 ± 416 pg./mg respectively). In addition, univariable analysis revealed positive significant associations between 8-isoprostane and body mass index, waist circumference, waist-to-height ratio, body fat percentage, blood lipid profile and glucose, emotional eating, and refined cereal intake. Conversely, a negative significant association was found between 8-isoprostane and sleep duration and fish intake. The multiple linear regression analysis revealed associations between 8-isoprostane and LDL-c (β = 0.173 value of p = 0.049), emotional eating (low β = 0.443, value of p = 0.036; high β = 0.152, value of p = 0.470), refined cereal intake (β =0.191, value of p = 0.024), and fish intake (β = -0.187, value of p = 0.050). Conclusion The MS group, LDL-c, emotional eating, and high refined cereals and low fish intakes were associated with higher levels of oxidative stress in an adolescent population.
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Affiliation(s)
- Sonia L. Ramírez-Garza
- Department of Nutrition, Food Science and Gastronomy, XIA, School of Pharmacy and Food Sciences, Institute for Nutrition and Food Safety Research, University of Barcelona, Barcelona, Spain
| | - Emily P. Laveriano-Santos
- Department of Nutrition, Food Science and Gastronomy, XIA, School of Pharmacy and Food Sciences, Institute for Nutrition and Food Safety Research, University of Barcelona, Barcelona, Spain
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain
| | - Juan J. Moreno
- Department of Nutrition, Food Science and Gastronomy, XIA, School of Pharmacy and Food Sciences, Institute for Nutrition and Food Safety Research, University of Barcelona, Barcelona, Spain
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain
| | - Patricia Bodega
- Foundation for Science, Health and Education, Barcelona, Spain
- Centro Nacional de Investigaciones Cardiovasculares, Madrid, Spain
| | - Amaya de Cos-Gandoy
- Foundation for Science, Health and Education, Barcelona, Spain
- Centro Nacional de Investigaciones Cardiovasculares, Madrid, Spain
| | - Mercedes de Miguel
- Foundation for Science, Health and Education, Barcelona, Spain
- Centro Nacional de Investigaciones Cardiovasculares, Madrid, Spain
| | - Gloria Santos-Beneit
- Foundation for Science, Health and Education, Barcelona, Spain
- The Zena and Michael A. Wiener Cardiovascular Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | | | - Rodrigo Fernández-Jiménez
- Centro Nacional de Investigaciones Cardiovasculares, Madrid, Spain
- Hospital Universitario Clínico San Carlos, Madrid, Spain
- Centro de Investigación Biomédica En Red en Enfermedades CardioVasculares, Madrid, Spain
| | | | - Ana María Ruiz-León
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain
- Department of Internal Medicine Hospital Clinic, Institut d’Investigacions Biomèdiques August Pi i Sunyer, University of Barcelona, Barcelona, Spain
| | - Ramon Estruch
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain
- Department of Internal Medicine Hospital Clinic, Institut d’Investigacions Biomèdiques August Pi i Sunyer, University of Barcelona, Barcelona, Spain
| | - Rosa M. Lamuela-Raventós
- Department of Nutrition, Food Science and Gastronomy, XIA, School of Pharmacy and Food Sciences, Institute for Nutrition and Food Safety Research, University of Barcelona, Barcelona, Spain
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain
| | - Anna Tresserra-Rimbau
- Department of Nutrition, Food Science and Gastronomy, XIA, School of Pharmacy and Food Sciences, Institute for Nutrition and Food Safety Research, University of Barcelona, Barcelona, Spain
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain
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Catalán-Lambán A, Ojeda-Rodríguez A, Marti Del Moral A, Azcona-Sanjulian C. Changes in objectively measured sleep after a multidisciplinary lifestyle intervention in children with abdominal obesity: A randomized trial. Sleep Med 2023; 109:252-260. [PMID: 37487278 DOI: 10.1016/j.sleep.2023.07.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/26/2023] [Revised: 06/30/2023] [Accepted: 07/07/2023] [Indexed: 07/26/2023]
Abstract
BACKGROUND/OBJECTIVE childhood obesity and sleep disorders have a well-established cross-sectional association, but lifestyle interventions' effects on sleep quality remain under-researched. This study aimed to evaluate the sleep quality of 122 participants (7-16 years) with abdominal obesity after a 2-year necessary lifestyle intervention. PATIENTS/METHODS participants were assigned to either the intervention group (moderate hypocaloric Mediterranean Diet) or the usual care group (standard recommendations on a healthy diet). Sleep was objectively assessed using triaxial accelerometry, and sleep parameters analyzed included latency, efficiency, wake after sleep onset, total time in bed, total sleep time, number of awakenings, and awakening duration. RESULTS AND CONCLUSIONS the results showed that the intervention group significantly improved sleep latency at 12 and 24 months and improved sleep efficiency at 2 and 12 months, compared to the usual care group. Wake after sleep onset and the number of awakenings were significantly reduced at 24 months in the intervention group. Wake after sleep onset and leptin levels were positively associated in all participants. Total time in bed was inversely associated with triglycerides and metabolic score, and total sleep time was inversely associated with leptin, triglycerides, and metabolic score after the 2-month intervention. Triglyceride levels were inversely associated with total time in bed and total sleep time at one year, while the metabolic score was directly associated with wake after sleep onset and the number of awakenings and inversely associated with efficiency. In conclusion, the multidisciplinary intervention in children and adolescents with abdominal obesity reduced anthropometric parameters and improved sleep habits.
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Affiliation(s)
- Ana Catalán-Lambán
- Department of Pediatrics, Clínica Universidad de Navarra, Pamplona, Spain
| | - Ana Ojeda-Rodríguez
- Department of Nutrition, Food Science and Physiology, Centre for Nutrition Research, School of Pharmacy and Nutrition, University of Navarra, Spain; Lipids and Atherosclerosis Unit, Unidad de Gestión Clinica Medicina Interna, Maimonides Institute for Biomedical Research in Córdoba (IMIBIC), Reina Sofia University Hospital, University of Córdoba, Av. Menendez Pidal, S/N. 14004, Córdoba, Spain
| | - Amelia Marti Del Moral
- Department of Nutrition, Food Science and Physiology, Centre for Nutrition Research, School of Pharmacy and Nutrition, University of Navarra, Spain; CIBER Fisiopatología de La Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain; Institute of Research of Navarra (IdisNa), Pamplona, Spain
| | - Cristina Azcona-Sanjulian
- Department of Pediatrics, Clínica Universidad de Navarra, Pamplona, Spain; Institute of Research of Navarra (IdisNa), Pamplona, Spain.
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58
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Pantoja-Arévalo L, Gesteiro E, Calonge-Pascual S, Pérez-Ruiz M, Urrialde R, González-Gross M. Design and validity of the Spanish version of two questionnaires related to adverse reactions to foodstuffs. NUTR HOSP 2023; 40:800-810. [PMID: 37409709 DOI: 10.20960/nh.04631] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/07/2023] Open
Abstract
Introduction Introduction: there is an emerging current necessity of valid questionnaires, encompassing most of food, beverages, diseases, signs and symptoms currently related to the pathogenesis of adverse reactions to foodstuffs (ARFS) in the Spanish population. Objectives: this study aimed to design and validate two questionnaires to assess ARFS in the Spanish population, Food and Beverages Frequency Consumption Questionnaire to Identify Adverse Reactions to Foodstuffs (FBFC-ARFSQ-18); and Pathologies and Symptomatology Questionnaire associated with Adverse Reactions to Foodstuffs (PSIMP-ARFSQ-10). Methods: both questionnaires were designed adapting questionnaires from the literature; and validated, using the expert judgment method, in five phases: questionnaires development, pilot test and reliability, content validity, face validity, and ethical considerations. Questionnaires were developed using the REDCap™ tool hosted at the Universidad Politécnica de Madrid. A total of 20 Spanish experts evaluated the questionnaires. Cronbach's alpha reliability coefficients were calculated using SPSS version 25.0 (IBM Corp., Armonk, NY-USA) and Aiken's V coefficient values were calculated using ICaiken.exe (Visual Basic 6.0, Lima-Perú). Results: a final construct of questions was designed, ensuring no overlap, for FBFC-ARFSQ-18 and PSIMP-ARFSQ-10. Cronbach's alpha reliability coefficients were 0.93 and 0.94; and Aiken's V coefficient values were 0.90 (0.78-0.96 CI) and 0.93 (0.81-0.98 CI) for FBFC-ARFSQ-18 and PSIMP-ARFSQ-10, respectively. Conclusions: both validated questionnaires could be used to analyze the association between certain food and beverages consumption with ARFS, such as food allergies and food intolerances; also, to investigate the link between some specific diseases, signs and symptoms with ARFS.
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Affiliation(s)
- Lisset Pantoja-Arévalo
- ImFINE Research Group, Health and Human Performance Department, Faculty of Physical Activity and Sport Sciences, Universidad Politécnica de Madrid, 28040 Madrid
| | - Eva Gesteiro
- ImFINE Research Group, Health and Human Performance Department, Faculty of Physical Activity and Sport Sciences, Universidad Politécnica de Madrid, 28040 Madrid
| | - Sergio Calonge-Pascual
- REDAFLED Research Group, Didactics of Musical, Plastic and Corporal Expression Department, Universidad de Valladolid, 42004 Soria
| | - Margarita Pérez-Ruiz
- ImFINE Research Group, Health and Human Performance Department, Faculty of Physical Activity and Sport Sciences, Universidad Politécnica de Madrid, 28040 Madrid
| | - Rafael Urrialde
- Genetics, Physiology and Microbiology Department, Faculty of Biological Sciences, Universidad Complutense de Madrid, 28040 Madrid
| | - Marcela González-Gross
- ImFINE Research Group, Health and Human Performance Department, Faculty of Physical Activity and Sport Sciences, Universidad Politécnica de Madrid, 28040 Madrid
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59
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Villasanta-Gonzalez A, Mora-Ortiz M, Alcala-Diaz JF, Rivas-Garcia L, Torres-Peña JD, Lopez-Bascon A, Calderon-Santiago M, Arenas-Larriva AP, Priego-Capote F, Malagon MM, Eichelmann F, Perez-Martinez P, Delgado-Lista J, Schulze MB, Camargo A, Lopez-Miranda J. Plasma lipidic fingerprint associated with type 2 diabetes in patients with coronary heart disease: CORDIOPREV study. Cardiovasc Diabetol 2023; 22:199. [PMID: 37537576 PMCID: PMC10401778 DOI: 10.1186/s12933-023-01933-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/21/2023] [Accepted: 07/21/2023] [Indexed: 08/05/2023] Open
Abstract
OBJECTIVE We aimed to identify a lipidic profile associated with type 2 diabetes mellitus (T2DM) development in coronary heart disease (CHD) patients, to provide a new, highly sensitive model which could be used in clinical practice to identify patients at T2DM risk. METHODS This study considered the 462 patients of the CORDIOPREV study (CHD patients) who were not diabetic at the beginning of the intervention. In total, 107 of them developed T2DM after a median follow-up of 60 months. They were diagnosed using the American Diabetes Association criteria. A novel lipidomic methodology employing liquid chromatography (LC) separation followed by HESI, and detection by mass spectrometry (MS) was used to annotate the lipids at the isomer level. The patients were then classified into a Training and a Validation Set (60-40). Next, a Random Survival Forest (RSF) was carried out to detect the lipidic isomers with the lowest prediction error, these lipids were then used to build a Lipidomic Risk (LR) score which was evaluated through a Cox. Finally, a production model combining the clinical variables of interest, and the lipidic species was carried out. RESULTS LC-tandem MS annotated 440 lipid species. From those, the RSF identified 15 lipid species with the lowest prediction error. These lipids were combined in an LR score which showed association with the development of T2DM. The LR hazard ratio per unit standard deviation was 2.87 and 1.43, in the Training and Validation Set respectively. Likewise, patients with higher LR Score values had lower insulin sensitivity (P = 0.006) and higher liver insulin resistance (P = 0.005). The receiver operating characteristic (ROC) curve obtained by combining clinical variables and the selected lipidic isomers using a generalised lineal model had an area under the curve (AUC) of 81.3%. CONCLUSION Our study showed the potential of comprehensive lipidomic analysis in identifying patients at risk of developing T2DM. In addition, the lipid species combined with clinical variables provided a new, highly sensitive model which can be used in clinical practice to identify patients at T2DM risk. Moreover, these results also indicate that we need to look closely at isomers to understand the role of this specific compound in T2DM development. Trials registration NCT00924937.
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Affiliation(s)
- Alejandro Villasanta-Gonzalez
- Lipids and Atherosclerosis Unit, Department of Internal Medicine, Reina Sofia University Hospital, University of Cordoba, Cordoba, Spain
- Department of Medical and Surgical Sciences, University of Cordoba, Cordoba, Spain
- Instituto Maimonides de Investigación Biomédica de Córdoba (IMIBIC), Córdoba, Spain
| | - Marina Mora-Ortiz
- Lipids and Atherosclerosis Unit, Department of Internal Medicine, Reina Sofia University Hospital, University of Cordoba, Cordoba, Spain
- Department of Medical and Surgical Sciences, University of Cordoba, Cordoba, Spain
- Instituto Maimonides de Investigación Biomédica de Córdoba (IMIBIC), Córdoba, Spain
| | - Juan F Alcala-Diaz
- Lipids and Atherosclerosis Unit, Department of Internal Medicine, Reina Sofia University Hospital, University of Cordoba, Cordoba, Spain
- Department of Medical and Surgical Sciences, University of Cordoba, Cordoba, Spain
- Instituto Maimonides de Investigación Biomédica de Córdoba (IMIBIC), Córdoba, Spain
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
| | - Lorenzo Rivas-Garcia
- Lipids and Atherosclerosis Unit, Department of Internal Medicine, Reina Sofia University Hospital, University of Cordoba, Cordoba, Spain
- Department of Medical and Surgical Sciences, University of Cordoba, Cordoba, Spain
- Instituto Maimonides de Investigación Biomédica de Córdoba (IMIBIC), Córdoba, Spain
| | - Jose D Torres-Peña
- Lipids and Atherosclerosis Unit, Department of Internal Medicine, Reina Sofia University Hospital, University of Cordoba, Cordoba, Spain
- Department of Medical and Surgical Sciences, University of Cordoba, Cordoba, Spain
- Instituto Maimonides de Investigación Biomédica de Córdoba (IMIBIC), Córdoba, Spain
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
| | - Asuncion Lopez-Bascon
- Department of Analytical Chemistry and Nanochemistry University Institute, University of Cordoba, Cordoba, Spain
- CIBER de Fragilidad y Envejecimiento Saludable (CIBERFES), Instituto de Salud Carlos III, Madrid, Spain
| | - Monica Calderon-Santiago
- Department of Analytical Chemistry and Nanochemistry University Institute, University of Cordoba, Cordoba, Spain
- CIBER de Fragilidad y Envejecimiento Saludable (CIBERFES), Instituto de Salud Carlos III, Madrid, Spain
| | - Antonio P Arenas-Larriva
- Lipids and Atherosclerosis Unit, Department of Internal Medicine, Reina Sofia University Hospital, University of Cordoba, Cordoba, Spain
- Department of Medical and Surgical Sciences, University of Cordoba, Cordoba, Spain
- Instituto Maimonides de Investigación Biomédica de Córdoba (IMIBIC), Córdoba, Spain
| | - Feliciano Priego-Capote
- Department of Analytical Chemistry and Nanochemistry University Institute, University of Cordoba, Cordoba, Spain
- CIBER de Fragilidad y Envejecimiento Saludable (CIBERFES), Instituto de Salud Carlos III, Madrid, Spain
| | - Maria M Malagon
- Instituto Maimonides de Investigación Biomédica de Córdoba (IMIBIC), Córdoba, Spain
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Department of Cell Biology, Physiology and Immunology, University of Cordoba, Cordoba, Spain
| | - Fabian Eichelmann
- German Center for Diabetes Research, Munich-Neuherberg, Germany
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbrücke, Nuthetal, Germany
| | - Pablo Perez-Martinez
- Lipids and Atherosclerosis Unit, Department of Internal Medicine, Reina Sofia University Hospital, University of Cordoba, Cordoba, Spain
- Department of Medical and Surgical Sciences, University of Cordoba, Cordoba, Spain
- Instituto Maimonides de Investigación Biomédica de Córdoba (IMIBIC), Córdoba, Spain
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
| | - Javier Delgado-Lista
- Lipids and Atherosclerosis Unit, Department of Internal Medicine, Reina Sofia University Hospital, University of Cordoba, Cordoba, Spain
- Department of Medical and Surgical Sciences, University of Cordoba, Cordoba, Spain
- Instituto Maimonides de Investigación Biomédica de Córdoba (IMIBIC), Córdoba, Spain
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
| | - Matthias B Schulze
- German Center for Diabetes Research, Munich-Neuherberg, Germany
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbrücke, Nuthetal, Germany
- Germany Institute of Nutrition Science, University of Potsdam, Nuthetal, Germany
| | - Antonio Camargo
- Lipids and Atherosclerosis Unit, Department of Internal Medicine, Reina Sofia University Hospital, University of Cordoba, Cordoba, Spain.
- Department of Medical and Surgical Sciences, University of Cordoba, Cordoba, Spain.
- Instituto Maimonides de Investigación Biomédica de Córdoba (IMIBIC), Córdoba, Spain.
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.
| | - Jose Lopez-Miranda
- Lipids and Atherosclerosis Unit, Department of Internal Medicine, Reina Sofia University Hospital, University of Cordoba, Cordoba, Spain.
- Department of Medical and Surgical Sciences, University of Cordoba, Cordoba, Spain.
- Instituto Maimonides de Investigación Biomédica de Córdoba (IMIBIC), Córdoba, Spain.
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.
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Monserrat-Mesquida M, Quetglas-Llabrés MM, Bouzas C, Pastor O, Ugarriza L, Llompart I, Cevallos-Ibarra K, Sureda A, Tur JA. Plasma Fatty Acid Composition, Oxidative and Inflammatory Status, and Adherence to the Mediterranean Diet of Patients with Non-Alcoholic Fatty Liver Disease. Antioxidants (Basel) 2023; 12:1554. [PMID: 37627549 PMCID: PMC10451635 DOI: 10.3390/antiox12081554] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2023] [Revised: 07/31/2023] [Accepted: 08/02/2023] [Indexed: 08/27/2023] Open
Abstract
Non-alcoholic fatty liver disease (NAFLD) is a complex and increasingly prevalent cardiometabolic disorder worldwide. As of today, NAFLD is a pathology without specific pharmacological treatment, with the Mediterranean diet (MedDiet) being the most widely used approach for its management. The objective of this study is to assess the effects of adherence to the Mediterranean diet on fatty acid plasma levels, as well as on the oxidative and inflammatory status of NAFLD patients. A total of 100 adult patients (40-60 years old) diagnosed with NAFLD and from the Balearic Islands, Spain, were classified into three groups according to their adherence to the MedDiet. Consumption was assessed using a validated 143-item semiquantitative Food Frequency Questionnaire. Food items (g/day) were categorised according to their processing using the NOVA system. Anthropometrics, blood pressure, aminotransferases, Dietary Inflammatory Index (DII), inflammatory biomarkers, and fatty acid levels were measured in the plasma of NAFLD patients. High adherence to the MedDiet is associated to a highly plant-based diet, low ultra-processed food (UPF) consumption, low intake of dietary lipids, low intake of animal fats, high intake of monounsaturated fatty acid (MUFA; mainly palmitoleic acid), low intake of saturated fatty acids (SFAs; practically all dietary SFAs), low intake of trans-fatty acids, high intake of omega-3 fatty acids (mainly eicosapentaenoic acid), a higher n-6:n-3 in ratio, low intake of omega-6 fatty acids, and a low level of interleukin-6 (IL-6). High adherence to the MedDiet is related to a better fatty acid profile in the plasma, fewer SFAs and more MUFA and polyunsaturated fatty acids (PUFAs), a plasma biochemical profile, better proinflammatory status, and decreased ultra-processed food consumption of NAFLD patients.
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Affiliation(s)
- Margalida Monserrat-Mesquida
- Research Group on Community Nutrition & Oxidative Stress, University of the Balearic Islands-IUNICS, E-07122 Palma de Mallorca, Spain
- CIBEROBN (Physiopathology of Obesity and Nutrition), Instituto de Salud Carlos III, E-28029 Madrid, Spain
- Health Research Institute of Balearic Islands (IdISBa), E-07120 Palma de Mallorca, Spain
| | - Maria Magdalena Quetglas-Llabrés
- Research Group on Community Nutrition & Oxidative Stress, University of the Balearic Islands-IUNICS, E-07122 Palma de Mallorca, Spain
- CIBEROBN (Physiopathology of Obesity and Nutrition), Instituto de Salud Carlos III, E-28029 Madrid, Spain
- Health Research Institute of Balearic Islands (IdISBa), E-07120 Palma de Mallorca, Spain
| | - Cristina Bouzas
- Research Group on Community Nutrition & Oxidative Stress, University of the Balearic Islands-IUNICS, E-07122 Palma de Mallorca, Spain
- CIBEROBN (Physiopathology of Obesity and Nutrition), Instituto de Salud Carlos III, E-28029 Madrid, Spain
- Health Research Institute of Balearic Islands (IdISBa), E-07120 Palma de Mallorca, Spain
| | - Oscar Pastor
- Service of Clinical Biochemistry, Hospital Universitario Ramon y Cajal-IRYCIS, E-28023 Madrid, Spain (K.C.-I.)
| | - Lucía Ugarriza
- Research Group on Community Nutrition & Oxidative Stress, University of the Balearic Islands-IUNICS, E-07122 Palma de Mallorca, Spain
- CIBEROBN (Physiopathology of Obesity and Nutrition), Instituto de Salud Carlos III, E-28029 Madrid, Spain
- Health Research Institute of Balearic Islands (IdISBa), E-07120 Palma de Mallorca, Spain
- C.S. Camp Redó, IBSalut, E-07010 Palma de Mallorca, Spain
| | - Isabel Llompart
- Research Group on Community Nutrition & Oxidative Stress, University of the Balearic Islands-IUNICS, E-07122 Palma de Mallorca, Spain
- CIBEROBN (Physiopathology of Obesity and Nutrition), Instituto de Salud Carlos III, E-28029 Madrid, Spain
- Health Research Institute of Balearic Islands (IdISBa), E-07120 Palma de Mallorca, Spain
- Clinical Analysis Service, University Hospital Son Espases, E-07198 Palma de Mallorca, Spain
| | - Karla Cevallos-Ibarra
- Service of Clinical Biochemistry, Hospital Universitario Ramon y Cajal-IRYCIS, E-28023 Madrid, Spain (K.C.-I.)
| | - Antoni Sureda
- Research Group on Community Nutrition & Oxidative Stress, University of the Balearic Islands-IUNICS, E-07122 Palma de Mallorca, Spain
- CIBEROBN (Physiopathology of Obesity and Nutrition), Instituto de Salud Carlos III, E-28029 Madrid, Spain
- Health Research Institute of Balearic Islands (IdISBa), E-07120 Palma de Mallorca, Spain
| | - Josep A. Tur
- Research Group on Community Nutrition & Oxidative Stress, University of the Balearic Islands-IUNICS, E-07122 Palma de Mallorca, Spain
- CIBEROBN (Physiopathology of Obesity and Nutrition), Instituto de Salud Carlos III, E-28029 Madrid, Spain
- Health Research Institute of Balearic Islands (IdISBa), E-07120 Palma de Mallorca, Spain
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Ni J, Nishi SK, Babio N, Ros E, Basterra-Gortari FJ, Corella D, O C, Martínez JA, Alonso-Gómez ÁM, Wärnberg J, Vioque J, Romaguera D, López-Miranda J, Estruch R, Tinahones FJ, Santos-Lozano JM, Serra-Majem L, Cano-Ibáñez N, Tur JA, Fernández-García JM, Pintó X, Delgado-Rodríguez M, Matía-Martín P, Vidal J, Vázquez C, Daimiel L, Fernández-Aranda F, Ruiz-Canela M, Mestres Solà C, Portolés O, Sala-Vila A, Garcia-Rios A, Compañ-Gabucio LM, Gómez-Gracia E, Zulet MA, Chaplin A, Casas R, Martínez-Diz S, Tojal-Sierra L, Gómez-Pérez AM, Toledo E, Rios S, Ortega-Azorín C, de la Torre R, Peña-Orihuela PJ, Garcia-de la Hera M, Sayón-Orea C, Malcampo M, Salas-Salvadó J. Higher versus lower nut consumption and changes in cognitive performance over two years in a population at risk of cognitive decline: a cohort study. Am J Clin Nutr 2023; 118:360-368. [PMID: 37269908 PMCID: PMC10447472 DOI: 10.1016/j.ajcnut.2023.05.032] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2023] [Revised: 05/24/2023] [Accepted: 05/30/2023] [Indexed: 06/05/2023] Open
Abstract
BACKGROUND Tree nuts and peanuts (henceforth, nuts) are nutrient-dense foods rich in neuroprotective components; thus, their consumption could benefit cognitive health. However, evidence to date is limited and inconsistent regarding the potential benefits of nuts for cognitive function. OBJECTIVE To prospectively evaluate the association between nut consumption and 2-y changes in cognitive performance in older adults at cognitive decline risk. METHODS A total of 6,630 participants aged 55 to 75 y (mean age 65.0±4.9 y, 48.4% women) with overweight/obesity and metabolic syndrome completed a validated semi-quantitative food frequency questionnaire and a comprehensive battery of neuropsychological tests at baseline and a 2-y follow-up. Composite cognitive scores were used to assess global, general, attention, and executive function domains. Nut consumption was categorized as <1, ≥1 to <3, ≥3 to <7, and ≥7 servings/wk (1 serving=30 g). Multivariable-adjusted linear regression models were fitted to assess associations between baseline nut consumption and 2-y cognitive changes. RESULTS Nut consumption was positively associated with 2-y changes in general cognitive function (P-trend <0.001). Compared with participants consuming <1 serving/wk of nuts, those categorized as consuming ≥3 to <7 and ≥7 servings/wk showed more favorable changes in general cognitive performance (β z-score [95% CI] = 0.06 [0.00,0.12] and 0.13 [0.06,0.20], respectively). No significant changes were observed in the multivariable-adjusted models for other cognitive domains assessed. CONCLUSION Frequent nut consumption was associated with a smaller decline in general cognitive performance over 2 y in older adults at risk of cognitive decline. Randomized clinical trials to verify our findings are warranted.
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Affiliation(s)
- Jiaqi Ni
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Alimentació, Nutrició, Desenvolupament i Salut Mental (ANUT-DSM), Unitat de Nutrició Humana, Reus, Spain; Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain; Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
| | - Stephanie K Nishi
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Alimentació, Nutrició, Desenvolupament i Salut Mental (ANUT-DSM), Unitat de Nutrició Humana, Reus, Spain; Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain; Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; Toronto 3D (Diet, Digestive Tract and Disease) Knowledge Synthesis and Clinical Trials Unit, Toronto, ON, Canada; Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Unity Health Toronto, ON, Canada
| | - Nancy Babio
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Alimentació, Nutrició, Desenvolupament i Salut Mental (ANUT-DSM), Unitat de Nutrició Humana, Reus, Spain; Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain; Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.
| | - Emilio Ros
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; Lipid Clinic, Department of Endocrinology and Nutrition, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clinic, Barcelona, Spain
| | - F Javier Basterra-Gortari
- Department of Preventive Medicine and Public Health, Universidad de Navarra, IdiSNA, Pamplona, Spain; Department of Endocrinology and Nutrition, Hospital Universitario de Navarra, IdiSNA, Universidad Pública de Navarra, Pamplona, Spain
| | - Dolores Corella
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - Castañer O
- Centro de Investigación Biomédica en Red Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain; Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d`Investigació Médica (IMIM), Barcelona, Spain
| | - J Alfredo Martínez
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; Department of Nutrition, Food Sciences, and Physiology, Center for Nutrition Research, University of Navarra, IdiSNA, Pamplona, Spain; Precision Nutrition and Cardiometabolic Health Program. IMDEA Food, CEI UAM + CSIC, Madrid, Spain
| | - Ángel M Alonso-Gómez
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; Bioaraba Health Research Institute, Cardiovascular, Respiratory and Metabolic Area; Osakidetza Basque Health Service, Araba University Hospital; University of the Basque Country UPV/EHU, Vitoria-Gasteiz, Spain
| | - Julia Wärnberg
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; EpiPHAAN research group, School of Health Sciences, University of Malaga - Instituto de Investigación Biomédica en Málaga (IBIMA), Málaga, Spain
| | - Jesús Vioque
- Centro de Investigación Biomédica en Red Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain; Instituto de Investigación Sanitaria y Biomédica de Alicante. Universidad Miguel Hernández (ISABIAL-UMH). Alicante, Spain
| | - Dora Romaguera
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; Health Research Institute of the Balearic Islands (IdISBa), Palma de Mallorca, Spain
| | - José López-Miranda
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, Cordoba, Spain
| | - Ramon Estruch
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; Department of Internal Medicine, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, Barcelona, Spain; Institut de Recerca en Nutrició i Seguretata Alimentaria (INSA-UB). University of Barcelona, Barcelona, Spain
| | - Francisco J Tinahones
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; Virgen de la Victoria Hospital, Department of Endocrinology, Instituto de Investigación Biomédica de Málaga (IBIMA). University of Málaga, Málaga, Spain
| | - José Manuel Santos-Lozano
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; Department of Family Medicine, Research Unit, Distrito Sanitario Atención Primaria Sevilla, Sevilla, Spain
| | - Lluís Serra-Majem
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; Research Institute of Biomedical and Health Sciences (IUIBS), University of Las Palmas de Gran Canaria & Centro Hospitalario Universitario Insular Materno Infantil (CHUIMI), Canarian Health Service, Las Palmas de Gran Canaria, Spain
| | - Naomi Cano-Ibáñez
- Centro de Investigación Biomédica en Red Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain; Department of Preventive Medicine and Public Health, University of Granada, Granada, Spain; Instituto de Investigación Biosanitaria de Granada (ibs.GRANADA), Granada, Spain
| | - Josep A Tur
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; Research Group on Community Nutrition & Oxidative Stress, University of Balearic Islands, Palma de Mallorca, Spain
| | - José Manuel Fernández-García
- Medicina Familiar y Comunitaria. Grupo de trabajo de Nutrición, Sociedad Española de Médicos de Atención Primaria (SEMERGEN), Centro de Salud de Valga, Pontevedra, Spain; Department of Psychiatry, Radiology, Public Health, Nursing and Medicine, University of Santiago de Compostela, Santiago de Compostela, Spain
| | - Xavier Pintó
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; Lipids and Vascular Risk Unit, Internal Medicine, Hospital Universitario de Bellvitge-IDIBELL, Hospitalet de Llobregat, Barcelona Spain
| | - Miguel Delgado-Rodríguez
- Precision Nutrition and Cardiometabolic Health Program. IMDEA Food, CEI UAM + CSIC, Madrid, Spain; Division of Preventive Medicine, Faculty of Medicine, University of Jaén, Jaén, Spain
| | - Pilar Matía-Martín
- Department of Endocrinology and Nutrition, Instituto de Investigación Sanitaria Hospital Clínico San Carlos (IdISSC), Madrid, Spain
| | - Josep Vidal
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III, Madrid, Spain; Department of Endocrinology, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - Clotilde Vázquez
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; Department of Endocrinology and Nutrition, Hospital Fundación Jimenez Díaz. Instituto de Investigaciones Biomédicas IISFJD. University Autonoma, Madrid, Spain
| | - Lidia Daimiel
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; Nutritional Control of the Epigenome Group. Precision Nutrition and Obesity Program. IMDEA Food, CEI UAM + CSIC, Madrid, Spain; Departamento de Ciencias Farmacéuticas y de la Salud, Facultad de Farmacia, Universidad San Pablo-CEU, CEU Universities, Urbanización Montepríncipe, 28660 Boadilla del Monte, Spain
| | - Fernando Fernández-Aranda
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; Clinical Psychology Unit, University Hospital of Bellvitge-Instituto de Investigación Biomédica de Bellvitge (IDIBELL), Barcelona, Spain; Department of Clinical Sciences, School of Medicine and Health Sciences, University of Barcelona, Barcelona, Spain
| | - Miguel Ruiz-Canela
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; Department of Preventive Medicine and Public Health, Universidad de Navarra, IdiSNA, Pamplona, Spain
| | | | - Olga Portolés
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - Aleix Sala-Vila
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d`Investigació Médica (IMIM), Barcelona, Spain
| | - Antonio Garcia-Rios
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, Cordoba, Spain
| | - Laura María Compañ-Gabucio
- Centro de Investigación Biomédica en Red Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain; Instituto de Investigación Sanitaria y Biomédica de Alicante. Universidad Miguel Hernández (ISABIAL-UMH). Alicante, Spain
| | - Enrique Gómez-Gracia
- Preventive Medicine and Public Health Department, School of Medicine, University of Málaga, 29010 Malaga, Spain; Biomedical Research Institute of Malaga-IBIMA Plataforma BIONAND, 29010 Malaga, Spain
| | - M Angeles Zulet
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; Department of Nutrition, Food Sciences, and Physiology, Center for Nutrition Research, University of Navarra, IdiSNA, Pamplona, Spain
| | - Alice Chaplin
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; Health Research Institute of the Balearic Islands (IdISBa), Palma de Mallorca, Spain
| | - Rosa Casas
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; Department of Internal Medicine, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, Barcelona, Spain; Institut de Recerca en Nutrició i Seguretata Alimentaria (INSA-UB). University of Barcelona, Barcelona, Spain
| | - Silvia Martínez-Diz
- Service of Preventive Medicine and Public Health, Hospital Universitario Clínico San Cecilio, 18016 Granada, Spain
| | - Lucas Tojal-Sierra
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; Bioaraba Health Research Institute, Cardiovascular, Respiratory and Metabolic Area; Osakidetza Basque Health Service, Araba University Hospital; University of the Basque Country UPV/EHU, Vitoria-Gasteiz, Spain
| | - Ana María Gómez-Pérez
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; Virgen de la Victoria Hospital, Department of Endocrinology, Instituto de Investigación Biomédica de Málaga (IBIMA). University of Málaga, Málaga, Spain
| | - Estefanía Toledo
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; Department of Preventive Medicine and Public Health, Universidad de Navarra, IdiSNA, Pamplona, Spain
| | - Santiago Rios
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Alimentació, Nutrició, Desenvolupament i Salut Mental (ANUT-DSM), Unitat de Nutrició Humana, Reus, Spain; Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain; Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
| | - Carolina Ortega-Azorín
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - Rafael de la Torre
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; Integrative Pharmacology and Systems Neurosciences Research Group, Hospital del Mar Medical Research Institute, Barcelona, Spain; Department of Medicine and Life Sciences (MELIS), Universitat Pompeu Fabra, Barcelona, Spain
| | - Patricia J Peña-Orihuela
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, Cordoba, Spain
| | - Manuela Garcia-de la Hera
- Centro de Investigación Biomédica en Red Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain; Instituto de Investigación Sanitaria y Biomédica de Alicante. Universidad Miguel Hernández (ISABIAL-UMH). Alicante, Spain
| | - Carmen Sayón-Orea
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; Department of Preventive Medicine and Public Health, Universidad de Navarra, IdiSNA, Pamplona, Spain
| | - Mireia Malcampo
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d`Investigació Médica (IMIM), Barcelona, Spain
| | - Jordi Salas-Salvadó
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Alimentació, Nutrició, Desenvolupament i Salut Mental (ANUT-DSM), Unitat de Nutrició Humana, Reus, Spain; Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain; Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
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Quetglas-Llabrés MM, Monserrat-Mesquida M, Bouzas C, Mateos D, Ugarriza L, Gómez C, Tur JA, Sureda A. Oxidative Stress and Inflammatory Biomarkers Are Related to High Intake of Ultra-Processed Food in Old Adults with Metabolic Syndrome. Antioxidants (Basel) 2023; 12:1532. [PMID: 37627527 PMCID: PMC10451674 DOI: 10.3390/antiox12081532] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2023] [Revised: 07/26/2023] [Accepted: 07/29/2023] [Indexed: 08/27/2023] Open
Abstract
In the last few decades the consumption of ultra-processed foods (UPFs) worldwide has substantially augmented. Increasing evidence suggests that high UPF consumption is associated with an increase in non-communicable diseases, being overweight, and obesity. The aim of this study was to assess how UPF consumption affects oxidative and inflammatory status in the plasma, neutrophils, and urine of old adults with metabolic syndrome. Participants (n = 92) were classified into two groups according to UPF consumption. Dietary intakes were measured by a validated semi-quantitative 143-item food frequency questionnaire and UPF consumption was determined according to the NOVA classification system. Low UPF consumers showed higher adherence to the Mediterranean diet than high UPF consumers. A high intake of fiber and a high concentration of polyphenols in urine were also observed in subjects with low UPF consumption. Despite the absence of differences in biochemical profile, oxidative and inflammatory biomarkers showed some significant changes. Catalase and superoxide dismutase activities were lower in high UPF consumers, whereas myeloperoxidase activity was higher. ROS production in neutrophils stimulated with zymosan was higher in high UPF consumers than in low UPF consumers. Biomarkers such as xanthine oxidase, tumor necrosis factor α (TNFα), interleukin (IL)-6, IL-15, and leptin levels were higher in participants with high intake of UPF. No differences were found in malondialdehyde and other inflammatory cytokines. The current study evidenced that MetS participants with high UPF consumption have a more pro-oxidant and inflammatory profile than those with low UPF consumption, despite showing similar blood biochemical profiles.
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Affiliation(s)
- Maria Magdalena Quetglas-Llabrés
- Research Group on Community Nutrition and Oxidative Stress, University of the Balearic Islands-IUNICS, 07122 Palma de Mallorca, Spain
- Health Research Institute of Balearic Islands (IdISBa), 07120 Palma, Spain
| | - Margalida Monserrat-Mesquida
- Research Group on Community Nutrition and Oxidative Stress, University of the Balearic Islands-IUNICS, 07122 Palma de Mallorca, Spain
- Health Research Institute of Balearic Islands (IdISBa), 07120 Palma, Spain
- Physiopathology of Obesity and Nutrition (CIBEROBN), Instituto de Salud Carlos III, 28029 Madrid, Spain
| | - Cristina Bouzas
- Research Group on Community Nutrition and Oxidative Stress, University of the Balearic Islands-IUNICS, 07122 Palma de Mallorca, Spain
- Health Research Institute of Balearic Islands (IdISBa), 07120 Palma, Spain
- Physiopathology of Obesity and Nutrition (CIBEROBN), Instituto de Salud Carlos III, 28029 Madrid, Spain
| | - David Mateos
- Research Group on Community Nutrition and Oxidative Stress, University of the Balearic Islands-IUNICS, 07122 Palma de Mallorca, Spain
- Health Research Institute of Balearic Islands (IdISBa), 07120 Palma, Spain
- Physiopathology of Obesity and Nutrition (CIBEROBN), Instituto de Salud Carlos III, 28029 Madrid, Spain
| | - Lucía Ugarriza
- Research Group on Community Nutrition and Oxidative Stress, University of the Balearic Islands-IUNICS, 07122 Palma de Mallorca, Spain
- Health Research Institute of Balearic Islands (IdISBa), 07120 Palma, Spain
- Physiopathology of Obesity and Nutrition (CIBEROBN), Instituto de Salud Carlos III, 28029 Madrid, Spain
| | - Cristina Gómez
- Research Group on Community Nutrition and Oxidative Stress, University of the Balearic Islands-IUNICS, 07122 Palma de Mallorca, Spain
- Health Research Institute of Balearic Islands (IdISBa), 07120 Palma, Spain
- Clinical Analysis Service, University Hospital Son Espases, 07198 Palma de Mallorca, Spain
| | - Josep A. Tur
- Research Group on Community Nutrition and Oxidative Stress, University of the Balearic Islands-IUNICS, 07122 Palma de Mallorca, Spain
- Health Research Institute of Balearic Islands (IdISBa), 07120 Palma, Spain
- Physiopathology of Obesity and Nutrition (CIBEROBN), Instituto de Salud Carlos III, 28029 Madrid, Spain
| | - Antoni Sureda
- Research Group on Community Nutrition and Oxidative Stress, University of the Balearic Islands-IUNICS, 07122 Palma de Mallorca, Spain
- Health Research Institute of Balearic Islands (IdISBa), 07120 Palma, Spain
- Physiopathology of Obesity and Nutrition (CIBEROBN), Instituto de Salud Carlos III, 28029 Madrid, Spain
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63
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Bouzas C, Pastor R, García S, Monserrat-Mesquida M, Martínez-González MÁ, Salas-Salvadó J, Corella D, Schröder H, Martínez JA, Alonso-Gómez ÁM, Wärnberg J, Vioque J, Romaguera D, Lopez-Miranda J, Estruch R, Tinahones FJ, Lapetra J, Serra-Majem L, Riquelme-Gallego B, Romero-Secin A, Pintó X, Gaforio JJ, Matía P, Vidal J, Zapatero M, Daimiel L, Ros E, García-Arellano A, Babio N, Gonzalez-Monje I, Castañer O, Abete I, Tojal-Sierra L, Benavente-Marín JC, Signes-Pastor A, Konieczna J, García-Ríos A, Castro-Barquero S, Fernández-García JC, Santos-Lozano JM, Bes-Rastrollo M, Mestres C, Guillem-Saiz P, Goday A, Goicolea-Güemez L, Puig-Aguiló E, Ruiz-Canela M, Palau-Galindo A, Fitó M, Tur JA. Association of monetary diet cost of foods and diet quality in Spanish older adults. Front Public Health 2023; 11:1166787. [PMID: 37559740 PMCID: PMC10408666 DOI: 10.3389/fpubh.2023.1166787] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2023] [Accepted: 06/26/2023] [Indexed: 08/11/2023] Open
Abstract
Background A major barrier to a healthy diet may be the higher price of healthy foods compared to low-quality foods. Objectives This study aimed to assess the association between the monetary cost of food and diet quality in Spanish older adults at high risk of cardiovascular disease. Methods Cross-sectional analysis was carried out in Spanish older adults (n = 6,838; 48.6% female). A validated food frequency questionnaire was used to assess dietary intake. Metabolic syndrome severity, adherence to the Mediterranean diet (MedDiet), adherence to a provegetarian dietary pattern, and dietary inflammatory index were assessed. The economic cost of the foods was obtained from the Spanish Ministry of Agriculture Fisheries and Food database (2015-2017, the period of time when the participants were recruited). The total cost of diet adjusted per 1,000 kcal was computed. Results The healthier dietary pattern was associated with a higher cost of the diet. Higher adherence to the MedDiet, anti-inflammatory diet, and the healthy version of the provegetarian dietary pattern were related to higher costs of the diet. Conclusion Higher diet quality was associated with a higher dietary cost of the diet per 1,000 kcal/day. Food prices can be an important component of interventions and policies aimed at improving people's diets and preventing diet-related chronic diseases. Clinical trial registry number The trial was registered in 2014 at the International Standard Randomized Controlled Trial (ISRCT; http://www.isrctn.com/ISRCTN89898870) with the number 89898870.
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Affiliation(s)
- Cristina Bouzas
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Research Group on Community Nutrition and Oxidative Stress, University of Balearic Islands, Palma de Mallorca, Spain
- Health Research Institute of the Balearic Islands (IdISBa), Palma de Mallorca, Spain
| | - Rosario Pastor
- Research Group on Community Nutrition and Oxidative Stress, University of Balearic Islands, Palma de Mallorca, Spain
- Faculty of Health Sciences, Catholic University of Ávila, Ávila, Spain
| | - Silvia García
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Research Group on Community Nutrition and Oxidative Stress, University of Balearic Islands, Palma de Mallorca, Spain
- Health Research Institute of the Balearic Islands (IdISBa), Palma de Mallorca, Spain
| | - Margalida Monserrat-Mesquida
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Research Group on Community Nutrition and Oxidative Stress, University of Balearic Islands, Palma de Mallorca, Spain
- Health Research Institute of the Balearic Islands (IdISBa), Palma de Mallorca, Spain
| | - Miguel Ángel Martínez-González
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Preventive Medicine and Public Health, IDISNA, University of Navarra, Pamplona, Spain
| | - Jordi Salas-Salvadó
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana & Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
| | - Dolores Corella
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - Helmut Schröder
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d'Investigació Mèdica (IMIM), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - J. Alfredo Martínez
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Cardiometabolics Precision Nutrition Program, IMDEA Food, CEI UAM + CSIC, Madrid, Spain
- Department of Nutrition, Food Sciences, and Physiology, Center for Nutrition Research, University of Navarra, Pamplona, Spain
| | - Ángel M. Alonso-Gómez
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Bioaraba Health Research Institute, Osakidetza Basque Health Service, Araba University Hospital, University of the Basque Country UPV/EHU, Vitoria-Gasteiz, Spain
| | - Julia Wärnberg
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Nursing, School of Health Sciences, University of Málaga-IBIMA, Málaga, Spain
| | - Jesús Vioque
- CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Instituto de Investigación Sanitaria y Biomédica de Alicante, Universidad Miguel Hernández, ISABIAL-UMH, Alicante, Spain
| | - Dora Romaguera
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Health Research Institute of the Balearic Islands (IdISBa), Palma de Mallorca, Spain
| | - José Lopez-Miranda
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Lipids and Atherosclerosis Unit, Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Córdoba, Córdoba, Spain
| | - Ramon Estruch
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Internal Medicine, IDIBAPS, Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - Francisco J. Tinahones
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Endocrinology, Virgen de la Victoria Hospital, University of Málaga, Málaga, Spain
| | - José Lapetra
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Family Medicine, Research Unit, Distrito Sanitario Atención Primaria Sevilla, Sevilla, Spain
| | - Lluís Serra-Majem
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Institute for Biomedical Research, University of Las Palmas de Gran Canaria, Las Palmas, Spain
| | - Blanca Riquelme-Gallego
- CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Preventive Medicine, University of Granada, Granada, Spain
| | - Anny Romero-Secin
- CIBER Diabetes y Enfermedades Metabólicas (CIBERDEM), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Consultorio de Colloto, Centro de Salud Ventanielles, Oviedo, Spain
| | - Xavier Pintó
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Lipids and Vascular Risk Unit, Internal Medicine, Hospital Universitari de Bellvitge, Hospitalet de Llobregat, Barcelona, Spain
| | - José J. Gaforio
- CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Health Sciences, Center for Advanced Studies in Olive Grove and Olive Oils, University of Jaén, Jaén, Spain
| | - Pilar Matía
- Department of Endocrinology and Nutrition, Instituto de Investigación Sanitaria San Carlos (IdISSC), Hospital Clínico San Carlos, Universidad Complutense, Madrid, Spain
| | - Josep Vidal
- Department of Endocrinology, IDIBAPS, Hospital Clinic, University of Barcelona, Barcelona, Spain
| | | | - Lidia Daimiel
- Nutritional Control of the Epigenome Group, Precision Nutrition and Obesity Program, IMDEA Food, CEI UAM + CSIC, Madrid, Spain
| | - Emilio Ros
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Lipid Clinic, Department of Endocrinology and Nutrition, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Hospital Clínic, Barcelona, Spain
| | - Ana García-Arellano
- Department of Preventive Medicine and Public Health, IDISNA, University of Navarra, Pamplona, Spain
- Osasunbidea, Servicio Navarro de Salud, Atención Primaria, Pamplona, Spain
| | - Nancy Babio
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana & Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
| | | | - Olga Castañer
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d'Investigació Mèdica (IMIM), Barcelona, Spain
| | - Itziar Abete
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Nutrition, Food Sciences, and Physiology, Center for Nutrition Research, University of Navarra, Pamplona, Spain
| | - Lucas Tojal-Sierra
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Bioaraba Health Research Institute, Osakidetza Basque Health Service, Araba University Hospital, University of the Basque Country UPV/EHU, Vitoria-Gasteiz, Spain
| | - Juan Carlos Benavente-Marín
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Nursing, School of Health Sciences, University of Málaga-IBIMA, Málaga, Spain
| | - Antonio Signes-Pastor
- CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Instituto de Investigación Sanitaria y Biomédica de Alicante, Universidad Miguel Hernández, ISABIAL-UMH, Alicante, Spain
| | - Jadwiga Konieczna
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Health Research Institute of the Balearic Islands (IdISBa), Palma de Mallorca, Spain
| | - Antonio García-Ríos
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Lipids and Atherosclerosis Unit, Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Córdoba, Córdoba, Spain
| | - Sara Castro-Barquero
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Internal Medicine, IDIBAPS, Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - José C. Fernández-García
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Endocrinology, Virgen de la Victoria Hospital, University of Málaga, Málaga, Spain
| | - José Manuel Santos-Lozano
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Family Medicine, Research Unit, Distrito Sanitario Atención Primaria Sevilla, Sevilla, Spain
| | - Maira Bes-Rastrollo
- Department of Preventive Medicine and Public Health, IDISNA, University of Navarra, Pamplona, Spain
| | - Cristina Mestres
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana & Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
| | - Patricia Guillem-Saiz
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - Albert Goday
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d'Investigació Mèdica (IMIM), Barcelona, Spain
| | - Leire Goicolea-Güemez
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Bioaraba Health Research Institute, Osakidetza Basque Health Service, Araba University Hospital, University of the Basque Country UPV/EHU, Vitoria-Gasteiz, Spain
| | | | - Miguel Ruiz-Canela
- Department of Preventive Medicine and Public Health, IDISNA, University of Navarra, Pamplona, Spain
| | - Antoni Palau-Galindo
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana & Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
- ABS Reus V. Centre d'Assistència Primària Marià Fortuny, Salut Sant Joan de Reus-Baix Camp, Reus, Spain
| | - Montse Fitó
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d'Investigació Mèdica (IMIM), Barcelona, Spain
| | - Josep A. Tur
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Research Group on Community Nutrition and Oxidative Stress, University of Balearic Islands, Palma de Mallorca, Spain
- Health Research Institute of the Balearic Islands (IdISBa), Palma de Mallorca, Spain
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64
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García S, Pastor R, Monserrat-Mesquida M, Álvarez-Álvarez L, Rubín-García M, Martínez-González MÁ, Salas-Salvadó J, Corella D, Goday A, Martínez JA, Alonso-Gómez ÁM, Wärnberg J, Vioque J, Romaguera D, Lopez-Miranda J, Estruch R, Tinahones FJ, Lapetra J, Serra-Majem L, Riquelme-Gallego B, Pintó X, Gaforio JJ, Matía P, Vidal J, Vázquez C, Daimiel L, Ros E, Sayón-Orea C, Guillem-Saiz P, Valle-Hita C, Cabanes R, Abete I, Goicolea-Güemez L, Gómez-Gracia E, Tercero-Maciá C, Colom A, García-Ríos A, Castro-Barquero S, Fernández-García JC, Santos-Lozano JM, Cenoz JC, Barragán R, Khoury N, Castañer O, Zulet MÁ, Vaquero-Luna J, Bes-Rastrollo M, de Las Heras-Delgado S, Ciurana R, Martín-Sánchez V, Tur JA, Bouzas C. Metabolic syndrome criteria and severity and carbon dioxide (CO 2) emissions in an adult population. Global Health 2023; 19:50. [PMID: 37443076 DOI: 10.1186/s12992-023-00948-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2023] [Accepted: 06/27/2023] [Indexed: 07/15/2023] Open
Abstract
BACKGROUND Metabolic syndrome (MetS) has become a growing risk factor of some non-communicable diseases. Increase of greenhouse gas emissions affects the planet. AIMS To assess the association between MetS severity and amount of carbon dioxide (CO2) emitted in an adult population. DESIGN Cross-sectional study (n = 6646; 55-76-year-old-men; 60-75-year-old-women with MetS). METHODS Dietary habits were assessed using a pre-validated semi quantitative 143-item food frequency questionnaire. The amount of CO2 emitted due to the production of food consumed by person and day was calculated using a European database, and the severity of the MetS was calculated with the MetS Severity Score. RESULTS Higher glycaemia levels were found in people with higher CO2 emissions. The risk of having high severe MetS was related to high CO2 emissions. CONCLUSIONS Low CO2 emissions diet would help to reduce MetS severity. Advantages for both health and the environment were found following a more sustainable diet. TRIAL REGISTRATION ISRCTN, ISRCTN89898870 . Registered 05 September 2013.
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Affiliation(s)
- Silvia García
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, 28029, Spain
- Research Group on Community Nutrition & Oxidative Stress, University of the Balearic Islands & CIBEROBN, Guillem Colom Bldg, Campus, E-07122, Palma de Mallorca, Spain
- Health Research Institute of the Balearic Islands (IdISBa), Palma de Mallorca, 07120, Spain
| | - Rosario Pastor
- Research Group on Community Nutrition & Oxidative Stress, University of the Balearic Islands & CIBEROBN, Guillem Colom Bldg, Campus, E-07122, Palma de Mallorca, Spain
- Faculty of Health Sciences, Catholic University of Avila, Avila, 05005, Spain
| | - Margalida Monserrat-Mesquida
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, 28029, Spain
- Research Group on Community Nutrition & Oxidative Stress, University of the Balearic Islands & CIBEROBN, Guillem Colom Bldg, Campus, E-07122, Palma de Mallorca, Spain
- Health Research Institute of the Balearic Islands (IdISBa), Palma de Mallorca, 07120, Spain
| | - Laura Álvarez-Álvarez
- CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), Madrid, 28029, Spain
- Institute of Biomedicine (IBIOMED), University of León, Leon, 24071, Spain
| | - María Rubín-García
- CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), Madrid, 28029, Spain
- Institute of Biomedicine (IBIOMED), University of León, Leon, 24071, Spain
| | - Miguel Ángel Martínez-González
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, 28029, Spain
- Department of Preventive Medicine and Public Health, University of Navarra, IDISNA, Pamplona, 31008, Spain
| | - Jordi Salas-Salvadó
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, 28029, Spain
- Biochemistry and Biotechnology Department. Human Nutrition Unit, Universitat Rovira i Virgili, IISPV, Hospital Universitari de Sant Joan, Reus, 43201, Spain
| | - Dolores Corella
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, 28029, Spain
- Department of Preventive Medicine, University of Valencia, Valencia, 46100, Spain
| | - Albert Goday
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, 28029, Spain
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d'Investigació Mèdica (IMIM), Barcelona, 08003, Spain
- Departament of Medicine, Universitat Autònoma de Barcelona, Barcelona, 08003, Spain
| | - J Alfredo Martínez
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, 28029, Spain
- Cardiometabolics Precision Nutrition Program, IMDEA Food, CEI UAM + CSIC, Madrid, 28049, Spain
- Department of Nutrition, Food Sciences, and Physiology, Center for Nutrition Research, University of Navarra, Pamplona, 31008, Spain
| | - Ángel M Alonso-Gómez
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, 28029, Spain
- Osakidetza Basque Health Service, Bioaraba Health Research Institute, Araba University Hospital, University of the Basque Country UPV/EHU, Vitoria-Gasteiz, 48013, Spain
| | - Julia Wärnberg
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, 28029, Spain
- Department of Nursing, School of Health Sciences, University of Málaga-IBIMA, Málaga, 29071, Spain
| | - Jesús Vioque
- Faculty of Health Sciences, Catholic University of Avila, Avila, 05005, Spain
- Instituto de Investigación Sanitaria y Biomédica de Alicante, Universidad Miguel Hernández (ISABIAL-UMH), Alicante, 03550, Spain
| | - Dora Romaguera
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, 28029, Spain
- Health Research Institute of the Balearic Islands (IdISBa), Palma de Mallorca, 07120, Spain
| | - José Lopez-Miranda
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, 28029, Spain
- Lipids and Atherosclerosis Unit, Department of Internal Medicine, Reina Sofia University Hospital, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), University of Cordoba, Córdoba, 14004, Spain
| | - Ramon Estruch
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, 28029, Spain
- Department of Internal Medicine, IDIBAPS, Hospital Clinic, University of Barcelona, Barcelona, 08036, Spain
| | - Francisco J Tinahones
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, 28029, Spain
- Department of Endocrinology, Virgen de la Victoria Hospital, University of Málaga, Málaga, 29010, Spain
| | - José Lapetra
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, 28029, Spain
- Department of Family Medicine, Research Unit, Distrito Sanitario Atención Primaria Sevilla, Sevilla, 41013, Spain
| | - Lluís Serra-Majem
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, 28029, Spain
- Institute for Biomedical Research, University of Las Palmas de Gran Canaria, Las Palmas, 35016, Spain
| | - Blanca Riquelme-Gallego
- Faculty of Health Sciences, Catholic University of Avila, Avila, 05005, Spain
- Department of Preventive Medicine, University of Granada, Granada, 18071, Spain
| | - Xavier Pintó
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, 28029, Spain
- Lipids and Vascular Risk Unit, Internal Medicine, Hospital Universitario de Bellvitge, Hospitalet de Llobregat, Barcelona, 08907, Spain
| | - José J Gaforio
- Faculty of Health Sciences, Catholic University of Avila, Avila, 05005, Spain
- Department of Health Sciences, Center for Advanced Studies in Olive Grove and Olive Oils, University of Jaen, Jaen, 23071, Spain
| | - Pilar Matía
- Department of Endocrinology and Nutrition, Instituto de Investigación Sanitaria San Carlos (IdISSC), Madrid, 28040, Spain
| | - Josep Vidal
- Department of Endocrinology, IDIBAPS, Hospital Clinic, University of Barcelona, Barcelona, 08036, Spain
| | - Clotilde Vázquez
- Department of Endocrinology, Fundación Jiménez-Díaz, Madrid, 28040, Spain
| | - Lidia Daimiel
- Precision Nutrition and Obesity Program.IMDEA Food, Nutritional Control of the Epigenome Group, CEI UAM + CSIC, Madrid, 28049, Spain
| | - Emilio Ros
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, 28029, Spain
- Department of Endocrinology and Nutrition, Lipid Clinic, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clínic, Barcelona, 08036, Spain
| | - Carmen Sayón-Orea
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, 28029, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), Madrid, 28029, Spain
- Navarra Institute of Public Health. Regional Health Service of Navarra, Pamplona, Spain
| | - Patricia Guillem-Saiz
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, 28029, Spain
- Department of Preventive Medicine, University of Valencia, Valencia, 46100, Spain
| | - Cristina Valle-Hita
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, 28029, Spain
- Biochemistry and Biotechnology Department. Human Nutrition Unit, Universitat Rovira i Virgili, IISPV, Hospital Universitari de Sant Joan, Reus, 43201, Spain
| | - Robert Cabanes
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, 28029, Spain
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d'Investigació Mèdica (IMIM), Barcelona, 08003, Spain
| | - Itziar Abete
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, 28029, Spain
- Department of Nutrition, Food Sciences, and Physiology, Center for Nutrition Research, University of Navarra, Pamplona, 31008, Spain
| | - Leire Goicolea-Güemez
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, 28029, Spain
- Osakidetza Basque Health Service, Bioaraba Health Research Institute, Araba University Hospital, University of the Basque Country UPV/EHU, Vitoria-Gasteiz, 48013, Spain
| | - Enrique Gómez-Gracia
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, 28029, Spain
- Department of Public Health and Psychiatry, School of Medicine, Biomedical Research Institute of Malaga (IBIMA), University of Malaga, Málaga, 29010, Spain
| | - Cristina Tercero-Maciá
- Instituto de Investigación Sanitaria y Biomédica de Alicante, Universidad Miguel Hernández (ISABIAL-UMH), Alicante, 03550, Spain
- Centro Salud Raval, Elche-Alicante, 03203, Spain
| | - Antoni Colom
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, 28029, Spain
- Health Research Institute of the Balearic Islands (IdISBa), Palma de Mallorca, 07120, Spain
| | - Antonio García-Ríos
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, 28029, Spain
- Lipids and Atherosclerosis Unit, Department of Internal Medicine, Reina Sofia University Hospital, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), University of Cordoba, Córdoba, 14004, Spain
| | - Sara Castro-Barquero
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, 28029, Spain
- Department of Internal Medicine, IDIBAPS, Hospital Clinic, University of Barcelona, Barcelona, 08036, Spain
| | - José C Fernández-García
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, 28029, Spain
- Department of Endocrinology, Virgen de la Victoria Hospital, University of Málaga, Málaga, 29010, Spain
| | - José Manuel Santos-Lozano
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, 28029, Spain
- Department of Family Medicine, Research Unit, Distrito Sanitario Atención Primaria Sevilla, Sevilla, 41013, Spain
| | - Juan Carlos Cenoz
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, 28029, Spain
- Navarra Regional Health Service, Primary Health Care Services, Pamplona, Spain
| | - Rocío Barragán
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, 28029, Spain
- Department of Preventive Medicine, University of Valencia, Valencia, 46100, Spain
| | - Nadine Khoury
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, 28029, Spain
- Biochemistry and Biotechnology Department. Human Nutrition Unit, Universitat Rovira i Virgili, IISPV, Hospital Universitari de Sant Joan, Reus, 43201, Spain
| | - Olga Castañer
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, 28029, Spain
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d'Investigació Mèdica (IMIM), Barcelona, 08003, Spain
| | - María Ángeles Zulet
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, 28029, Spain
- Department of Nutrition, Food Sciences, and Physiology, Center for Nutrition Research, University of Navarra, Pamplona, 31008, Spain
| | - Jessica Vaquero-Luna
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, 28029, Spain
- Osakidetza Basque Health Service, Bioaraba Health Research Institute, Araba University Hospital, University of the Basque Country UPV/EHU, Vitoria-Gasteiz, 48013, Spain
| | - Maira Bes-Rastrollo
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, 28029, Spain
- Department of Preventive Medicine and Public Health, University of Navarra, IDISNA, Pamplona, 31008, Spain
| | - Sara de Las Heras-Delgado
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, 28029, Spain
- Biochemistry and Biotechnology Department. Human Nutrition Unit, Universitat Rovira i Virgili, IISPV, Hospital Universitari de Sant Joan, Reus, 43201, Spain
| | - Ramon Ciurana
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, 28029, Spain
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d'Investigació Mèdica (IMIM), Barcelona, 08003, Spain
| | - Vicente Martín-Sánchez
- CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), Madrid, 28029, Spain
- Institute of Biomedicine (IBIOMED), University of León, Leon, 24071, Spain
| | - Josep A Tur
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, 28029, Spain.
- Research Group on Community Nutrition & Oxidative Stress, University of the Balearic Islands & CIBEROBN, Guillem Colom Bldg, Campus, E-07122, Palma de Mallorca, Spain.
- Health Research Institute of the Balearic Islands (IdISBa), Palma de Mallorca, 07120, Spain.
| | - Cristina Bouzas
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, 28029, Spain
- Research Group on Community Nutrition & Oxidative Stress, University of the Balearic Islands & CIBEROBN, Guillem Colom Bldg, Campus, E-07122, Palma de Mallorca, Spain
- Health Research Institute of the Balearic Islands (IdISBa), Palma de Mallorca, 07120, Spain
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Bujosa F, Herreras Z, Catalán M, Pinyol M, Lamuela-Raventos RM, Martínez-Huélamo M, Gilabert R, Jiménez A, Ortega E, Chiva-Blanch G. Total carotene plasma concentrations are inversely associated with atherosclerotic plaque burden: A post-hoc analysis of the DIABIMCAP cohort. Clin Nutr 2023; 42:1168-1174. [PMID: 37230851 DOI: 10.1016/j.clnu.2023.05.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2023] [Revised: 05/02/2023] [Accepted: 05/04/2023] [Indexed: 05/27/2023]
Abstract
BACKGROUND AND AIMS Atherosclerosis is the major risk factor for cardiovascular disease (CVD), the first cause of death worldwide. Chronic low-grade inflammation and a sustained oxidative milieu are causatively related to atherosclerosis onset and progression, and therefore, dietary patterns rich in bioactive compounds with anti-inflammatory and antioxidant activities might likely contribute to revert or slowing the progression of atherosclerosis. The aim of this study is to analyse the association between fruit and vegetables intake, quantitatively measured through carotene plasma concentrations, and atherosclerotic burden, as a surrogate biomarker of CVD, in free-living subjects from the DIABIMCAP cohort study. METHODS The 204 participants of the DIABIMCAP Study cohort (Carotid Atherosclerosis in Newly Diagnosed Type 2 Diabetic Individuals, ClinicalTrials.gov Identifier: NCT01898572), were included in this cross-sectional study. Total, α-, and β-carotenes were quantified by HPLC-MS/MS. Lipoprotein analysis in serum was performed by 2D- 1H NMR- DOSY, and atherosclerosis and intima media thickness (IMT) were measured through standardized bilateral carotid artery ultrasound imaging. RESULTS Subjects with atherosclerosis (n = 134) had lower levels of large HDL particles than subjects without atherosclerosis. Positive associations were found between α-carotene and both large and medium HDL particles, and inverse associations were found between β- and total carotene, and VLDL and its medium/small particles. Subjects with atherosclerosis presented significantly lower plasma concentrations of total carotene compared with subjects without atherosclerosis. Plasma concentrations of carotene decreased as the number of atherosclerotic plaques increased, although after multivariate adjustment, the inverse association between β- and total carotene with plaque burden remained significant only in women. CONCLUSIONS A diet rich in fruit and vegetables results in higher plasmatic carotene concentrations, which are associated with a lesser atherosclerotic plaque burden.
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Affiliation(s)
- Francesc Bujosa
- Department of Endocrinology and Nutrition, August Pi i Sunyer Biomedical Research Institute - IDIBAPS, Hospital Clínic of Barcelona, 08036 Barcelona, Spain
| | - Zoe Herreras
- Consorcio de Atención Primaria del Eixample (CAPSE), Grup Transversal de Recerca en Atenció Primària, IDIBAPS, 08036 Barcelona, Spain
| | - Marta Catalán
- Consorcio de Atención Primaria del Eixample (CAPSE), Grup Transversal de Recerca en Atenció Primària, IDIBAPS, 08036 Barcelona, Spain
| | - Montse Pinyol
- Consorcio de Atención Primaria del Eixample (CAPSE), Grup Transversal de Recerca en Atenció Primària, IDIBAPS, 08036 Barcelona, Spain
| | - Rosa M Lamuela-Raventos
- Department of Nutrition, Food Science and Gastronomy, XIA, School of Pharmacy and Food Sciences, University of Barcelona, 08028 Barcelona, Spain; INSA-UB, Nutrition and Food Safety Research Institute, University of Barcelona, 08028 Barcelona, Spain; Biomedical Network Research Centre on Obesity and Nutrition Physiopathology (CIBEROBN) Instituto de Salud Carlos III, 28029 Madrid, Spain
| | - Miriam Martínez-Huélamo
- Department of Nutrition, Food Science and Gastronomy, XIA, School of Pharmacy and Food Sciences, University of Barcelona, 08028 Barcelona, Spain; INSA-UB, Nutrition and Food Safety Research Institute, University of Barcelona, 08028 Barcelona, Spain; Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBERFES), Instituto de Salud Carlos III, 28029 Madrid, Spain
| | - Rosa Gilabert
- Vascular Unit, Centre de Diagnòstic per l'Imatge, IDIBAPS, Hospital Clínic, 08036 Barcelona, Spain
| | - Amanda Jiménez
- Department of Endocrinology and Nutrition, August Pi i Sunyer Biomedical Research Institute - IDIBAPS, Hospital Clínic of Barcelona, 08036 Barcelona, Spain; Biomedical Network Research Centre on Obesity and Nutrition Physiopathology (CIBEROBN) Instituto de Salud Carlos III, 28029 Madrid, Spain
| | - Emilio Ortega
- Department of Endocrinology and Nutrition, August Pi i Sunyer Biomedical Research Institute - IDIBAPS, Hospital Clínic of Barcelona, 08036 Barcelona, Spain; Biomedical Network Research Centre on Obesity and Nutrition Physiopathology (CIBEROBN) Instituto de Salud Carlos III, 28029 Madrid, Spain
| | - Gemma Chiva-Blanch
- Department of Endocrinology and Nutrition, August Pi i Sunyer Biomedical Research Institute - IDIBAPS, Hospital Clínic of Barcelona, 08036 Barcelona, Spain; Biomedical Network Research Centre on Obesity and Nutrition Physiopathology (CIBEROBN) Instituto de Salud Carlos III, 28029 Madrid, Spain; Faculty of Health Sciences, Universitat Oberta de Catalunya (UOC), Barcelona, Spain.
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66
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González-Palacios S, Oncina-Cánovas A, García-de-la-Hera M, Martínez-González MÁ, Salas-Salvadó J, Corella D, Schröder H, Martínez JA, Alonso-Gómez ÁM, Wärnberg J, Romaguera D, López-Miranda J, Estruch R, Tinahones FJ, Lapetra J, Serra-Majem JL, Cano-Ibañez N, Tur JA, Martín-Sánchez V, Pintó X, Delgado-Rodríguez M, Matía-Martín P, Vidal J, Vázquez C, Daimiel L, Ros E, Bes-Rastrollo M, Atzeni A, Sorli JV, Zomeño MD, Peña-Orihuela PJ, Compañ-Gabucio LM, Barón-López FJ, Zulet MÁ, Konieczna J, Casas RM, Garrido-Garrido EM, Tojal-Sierra L, Gomez-Perez AM, Ruiz-Canela M, Palau A, Saiz C, Pérez-Vega KA, Garcia-Rios A, Torres-Collado L, Basterra-Gortari J, Garcidueñas-Fimbres TE, Malcampo M, Vioque J. Increased ultra-processed food consumption is associated with worsening of cardiometabolic risk factors in adults with metabolic syndrome: Longitudinal analysis from a randomized trial. Atherosclerosis 2023; 377:12-23. [PMID: 37343432 DOI: 10.1016/j.atherosclerosis.2023.05.022] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/21/2023] [Revised: 05/31/2023] [Accepted: 05/31/2023] [Indexed: 06/23/2023]
Abstract
BACKGROUND AND AIMS The association between changes in ultra-processed food (UPF) consumption and cardiometabolic risk (CMR) factors remains understudied. We evaluated the association between changes in UPF consumption over 12 months of follow-up and changes in CMR factors in adults diagnosed with metabolic syndrome. METHODS We analysed data from 5373 adults (aged 55-75 years) participating in the PREDIMED-Plus trial. Diet was evaluated at baseline, 6- and 12-month visits using a validated food frequency questionnaire, and UPF consumption (in grams/day and percentage of total daily dietary intake in grams) was categorized based on NOVA classification. We used mixed-effects linear models with repeated measurements at baseline, 6 and 12 months of follow-up to assess the associations between changes in UPF consumption and changes in CMR factors adjusting for sociodemographic and lifestyles variables. RESULTS In multivariable-adjusted models, when comparing the highest versus the lowest quartile of UPF consumption, positive associations were found for several CMR factors: weight (kg, β = 1.09; 95% confidence interval 0.91 to 1.26); BMI (kg/m2, β = 0.39; 0.33 to 0.46); waist circumference (cm, β = 1.03; 0.81 to 1.26); diastolic blood pressure (mm Hg, β = 0.67; 0.29 to 1.06); fasting blood glucose (mg/dl, β = 1.66; 0.61 to 2.70); HbA1c (%, β = 0.04; 0.01 to 0.07); triglycerides (mg/dl, β = 6.79; 3.66 to 9.91) and triglycerides and glucose index (β = 0.06; 0.04 to 0.08). CONCLUSIONS Higher UPF consumption was associated with adverse evolution in objectively measured CMR factors after 12 months of follow-up in adults with metabolic syndrome. Further research is needed to explore whether these changes persist for longer periods.
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Affiliation(s)
- Sandra González-Palacios
- Unidad de Epidemiología de la Nutrición, Instituto de Investigación Sanitaria y Biomédica de Alicante. Universidad Miguel Hernández, (ISABIAL-UMH), Alicante, Spain; CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain
| | - Alejandro Oncina-Cánovas
- Unidad de Epidemiología de la Nutrición, Instituto de Investigación Sanitaria y Biomédica de Alicante. Universidad Miguel Hernández, (ISABIAL-UMH), Alicante, Spain; CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain
| | - Manuela García-de-la-Hera
- Unidad de Epidemiología de la Nutrición, Instituto de Investigación Sanitaria y Biomédica de Alicante. Universidad Miguel Hernández, (ISABIAL-UMH), Alicante, Spain; CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain
| | - Miguel Ángel Martínez-González
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; University of Navarra, Department of Preventive Medicine and Public Health, IDISNA, Pamplona, Spain; Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Jordi Salas-Salvadó
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició, Reus, Spain; Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
| | - Dolores Corella
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - Helmut Schröder
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain; Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d'Investigació Médica (IMIM), Barcelona, Spain
| | - J Alfredo Martínez
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Department of Nutrition, Food Sciences, and Physiology, Center for Nutrition Research, University of Navarra, Pamplona, Spain; Precision Nutrition and Cardiometabolic Health Program. IMDEA Food, CEI UAM + CSIC, Madrid, Spain
| | - Ángel M Alonso-Gómez
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Bioaraba Health Research Institute, Cardiovascular, Respiratory and Metabolic Area; Osakidetza Basque Health Service, Araba University Hospital; University of the Basque Country UPV/EHU, Vitoria-Gasteiz, Spain
| | - Julia Wärnberg
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; EpiPHAAN research Group, School of Health Sciences, University of Málaga-Instituto de Investigación Biomédica en Málaga (IBIMA), Málaga, Spain
| | - Dora Romaguera
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Research Group on Nutritional Epidemiology & Cardiovascular Physiopathology (NUTRECOR), Health Research Institute of the Balearic Islands (IdISBa), University Hospital Son Espases (HUSE), Palma de Mallorca, Spain
| | - José López-Miranda
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, Cordoba, Spain
| | - Ramon Estruch
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Department of Internal Medicine, Hospital Clinic, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Institut de Recerca en Nutrició i Seguretata Alimentaria (INSA-UB). University of Barcelona, Barcelona, Spain
| | - Francisco J Tinahones
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Virgen de la Victoria Hospital, Department of Endocrinology, Instituto de Investigación Biomédica de Málaga (IBIMA). University of Málaga, Málaga, Spain
| | - José Lapetra
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Department of Family Medicine, Research Unit, Distrito Sanitario Atención Primaria Sevilla, Sevilla, Spain
| | - J Luís Serra-Majem
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Research Institute of Biomedical and Health Sciences (IUIBS), University of Las Palmas de Gran Canaria & Centro Hospitalario Universitario Insular Materno Infantil (CHUIMI), Canarian Health Service, Las Palmas de Gran Canaria, Spain
| | - Naomi Cano-Ibañez
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain; Department of Preventive Medicine and Public Health, University of Granada, Granada, Spain; Instituto de Investigación Biosanitaria de Granada (ibs.GRANADA), Granada, Spain
| | - Josep A Tur
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Research Group on Community Nutrition & Oxidative Stress, University of Balearic Islands, Palma de Mallorca, Spain
| | - Vicente Martín-Sánchez
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain; Institute of Biomedicine (IBIOMED), University of León, León, Spain
| | - Xavier Pintó
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Lipids and Vascular Risk Unit, Internal Medicine, Hospital Universitario de Bellvitge-IDIBELL, Hospitalet de Llobregat, Barcelona, Spain
| | | | - Pilar Matía-Martín
- Department of Endocrinology and Nutrition, Instituto de Investigación Sanitaria Hospital Clínico San Carlos (IdISSC), Madrid, Spain
| | - Josep Vidal
- CIBER Diabetes y Enfermedades Metabólicas (CIBERDEM), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Department of Endocrinology, Institut d' Investigacions Biomédiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - Clotilde Vázquez
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Department of Endocrinology and Nutrition, Hospital Fundación Jimenez Díaz. Instituto de Investigaciones Biomédicas IISFJD. University Autonoma, Madrid, Spain
| | - Lidia Daimiel
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Nutritional Control of the Epigenome Group, Precision Nutrition and Obesity Program. IMDEA Food, CEI UAM + CSIC, Madrid, Spain; Departamento de Ciencias Farmacéuticas y de la Salud, Faculty de Farmacia, Universidad San Pablo-CEU, CEU Universities, 28660, Boadilla del Monte, Spain
| | - Emili Ros
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Lipid Clinic, Department of Endocrinology and Nutrition, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clínic, Barcelona, Spain
| | - Maira Bes-Rastrollo
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; University of Navarra, Department of Preventive Medicine and Public Health, IDISNA, Pamplona, Spain
| | - Alessandro Atzeni
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició, Reus, Spain; Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
| | - Jose V Sorli
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - M Dolors Zomeño
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d'Investigació Médica (IMIM), Barcelona, Spain; Blanquerna-Ramon Llull University, Barcelona, Spain
| | - Patricia J Peña-Orihuela
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, Cordoba, Spain
| | - Laura M Compañ-Gabucio
- Unidad de Epidemiología de la Nutrición, Instituto de Investigación Sanitaria y Biomédica de Alicante. Universidad Miguel Hernández, (ISABIAL-UMH), Alicante, Spain; CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain
| | - Francisco J Barón-López
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; EpiPHAAN research Group, School of Health Sciences, University of Málaga-Instituto de Investigación Biomédica en Málaga (IBIMA), Málaga, Spain
| | - María Ángeles Zulet
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Department of Nutrition, Food Sciences, and Physiology, Center for Nutrition Research, University of Navarra, Pamplona, Spain
| | - Jadwiga Konieczna
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Research Group on Nutritional Epidemiology & Cardiovascular Physiopathology (NUTRECOR), Health Research Institute of the Balearic Islands (IdISBa), University Hospital Son Espases (HUSE), Palma de Mallorca, Spain
| | - Rosa M Casas
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Department of Internal Medicine, Hospital Clinic, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Institut de Recerca en Nutrició i Seguretata Alimentaria (INSA-UB). University of Barcelona, Barcelona, Spain
| | | | - Lucas Tojal-Sierra
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Bioaraba Health Research Institute, Cardiovascular, Respiratory and Metabolic Area; Osakidetza Basque Health Service, Araba University Hospital; University of the Basque Country UPV/EHU, Vitoria-Gasteiz, Spain
| | - Ana M Gomez-Perez
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Virgen de la Victoria Hospital, Department of Endocrinology, Instituto de Investigación Biomédica de Málaga (IBIMA). University of Málaga, Málaga, Spain
| | - Miguel Ruiz-Canela
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; University of Navarra, Department of Preventive Medicine and Public Health, IDISNA, Pamplona, Spain
| | - Antoni Palau
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició, Reus, Spain; Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain; Centre d'Assistència Primària Marià Fortuny, ABS Reus V. Salut Sant Joan de Reus, Reus, Spain
| | - Carmen Saiz
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - Karla A Pérez-Vega
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d'Investigació Médica (IMIM), Barcelona, Spain
| | - Antonio Garcia-Rios
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, Cordoba, Spain
| | - Laura Torres-Collado
- Unidad de Epidemiología de la Nutrición, Instituto de Investigación Sanitaria y Biomédica de Alicante. Universidad Miguel Hernández, (ISABIAL-UMH), Alicante, Spain; CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain
| | - Javier Basterra-Gortari
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; University of Navarra, Department of Preventive Medicine and Public Health, IDISNA, Pamplona, Spain; Servicio de Endocrinología, Hospital Universitario de Navarra, Servicio Navarro de Salud-Osasunbidea, Pamplona, Spain
| | - Tany E Garcidueñas-Fimbres
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició, Reus, Spain; Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
| | - Mireia Malcampo
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d'Investigació Médica (IMIM), Barcelona, Spain
| | - Jesús Vioque
- Unidad de Epidemiología de la Nutrición, Instituto de Investigación Sanitaria y Biomédica de Alicante. Universidad Miguel Hernández, (ISABIAL-UMH), Alicante, Spain; CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain.
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Coello I, Sanchis P, Pieras EC, Grases F. Diet in Different Calcium Oxalate Kidney Stones. Nutrients 2023; 15:nu15112607. [PMID: 37299570 DOI: 10.3390/nu15112607] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2023] [Revised: 05/29/2023] [Accepted: 05/31/2023] [Indexed: 06/12/2023] Open
Abstract
Diet can be a helpful tool to enhance the quality of urine and lower the likelihood and recurrence of kidney stones. This study set out to identify the foods and nutrients that are associated with each type of calcium oxalate kidney stone formation. A single-center, cross-sectional study was conducted. Between 2018 and 2021, a sample of 90 cases (13 cases with papillary COM, 27 with non-papillary COM, and 50 with COD kidney stones), as well as a control group of 50 people, were chosen. A food intake frequency questionnaire was completed by the study's participants, and the results were compared between groups. Additionally, a comparison of the 24 h urine analysis between stone groups was made. Processed food and meat derivatives were linked to COM papillary calculi (OR = 1.051, p = 0.032 and OR = 1.013, p = 0.012, respectively). Consuming enough calcium may offer protection against non-papillary COM stones (OR = 0.997; p = 0.002). Similarly, dairy product consumption was linked to COD calculi (OR = 1.005, p = 0.001). In conclusion, a diet high in animal items may increase the risk of developing papillary COM stones. Consuming calcium may be preventive against non-papillary COM calculi, and dairy product consumption may be a risk factor for COD stones.
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Affiliation(s)
- Iris Coello
- Urology Department, Joan XXIII University Hospital, 43005 Tarragona, Spain
| | - Pilar Sanchis
- Laboratory of Renal Lithiasis Research, University Institute of Health Science Research (IUNICS), Health Research Institute of the Balearic Islands (IdISBa), University of the Balearic Islands, 07122 Palma de Mallorca, Spain
| | - Enrique C Pieras
- Urology Department, Son Espases University Hospital, 07120 Palma de Mallorca, Spain
| | - Felix Grases
- Laboratory of Renal Lithiasis Research, University Institute of Health Science Research (IUNICS), Health Research Institute of the Balearic Islands (IdISBa), University of the Balearic Islands, 07122 Palma de Mallorca, Spain
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Gutierrez-Mariscal FM, Alcalá-Diaz JF, Quintana-Navarro GM, de la Cruz-Ares S, Torres-Peña JD, Cardelo MP, Arenas-Larriva AP, Malagón MM, Romero-Cabrera JL, Ordovás JM, Pérez-Martínez P, Delgado-Lista J, Yubero-Serrano EM, Lopez-Miranda J. Changes in quantity plant-based protein intake on type 2 diabetes remission in coronary heart disease patients: from the CORDIOPREV study. Eur J Nutr 2023; 62:1903-1913. [PMID: 36869909 PMCID: PMC10195707 DOI: 10.1007/s00394-022-03080-x] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2022] [Accepted: 12/21/2022] [Indexed: 03/05/2023]
Abstract
PURPOSE Diabetes remission is a phenomenon described in the context of drastic weight loss due to bariatric surgery or low-calorie diets. Evidence suggests that increasing the intake of plant protein could reduce the risk of type 2 diabetes. We sought for association between changes in plant protein intake in the context of 2 healthy diets without weight loss nor glucose-lowering medication, and diabetes remission in coronary heart disease patients from the CORDIOPREV study. METHODS Newly diagnosed type 2 diabetes participants without glucose-lowering treatment were randomized to consume a Mediterranean or a low-fat diet. Type 2 diabetes remission was assessed with a median follow-up of 60 months according to the ADA recommendation. Information on patient's dietary intake was collected using food-frequency questionnaires. At first year of intervention, 177 patients were classified according to changes in plant protein consumption into those who increased or decreased its intake, in order to perform an observational analysis on the association between protein intake and diabetes remission. RESULTS Cox regression showed that patients increasing plant protein intake were more likely to remit from diabetes than those who decreased its intake (HR = 1.71(1.05-2.77)). The remission occurred mainly at first and second year of follow-up with diminished number of patients achieving remission in the third year onwards. The increase in plant protein was associated with lower intake of animal protein, cholesterol, saturated fatty acids, and fat, and with higher intake of whole grains, fibre, carbohydrates, legumes, and tree nuts. CONCLUSION These results support the need to increase protein intake of vegetal origin as dietary therapy to reverse type 2 diabetes in the context of healthy diets without weight loss.
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Affiliation(s)
- Francisco M Gutierrez-Mariscal
- Lipids and Atherosclerosis Unit, Unidad de Gestión Clinica Medicina Interna, Maimonides Institute for Biomedical Research in Córdoba (IMIBIC), Reina Sofia University Hospital, University of Córdoba, Av. Menendez Pidal, S/N. 14004, Córdoba, Spain
- CIBER Physiopathology of Obesity and Nutrition (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
| | - Juan F Alcalá-Diaz
- Lipids and Atherosclerosis Unit, Unidad de Gestión Clinica Medicina Interna, Maimonides Institute for Biomedical Research in Córdoba (IMIBIC), Reina Sofia University Hospital, University of Córdoba, Av. Menendez Pidal, S/N. 14004, Córdoba, Spain
- CIBER Physiopathology of Obesity and Nutrition (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
| | - Gracia M Quintana-Navarro
- Lipids and Atherosclerosis Unit, Unidad de Gestión Clinica Medicina Interna, Maimonides Institute for Biomedical Research in Córdoba (IMIBIC), Reina Sofia University Hospital, University of Córdoba, Av. Menendez Pidal, S/N. 14004, Córdoba, Spain
- CIBER Physiopathology of Obesity and Nutrition (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
| | - Silvia de la Cruz-Ares
- Lipids and Atherosclerosis Unit, Unidad de Gestión Clinica Medicina Interna, Maimonides Institute for Biomedical Research in Córdoba (IMIBIC), Reina Sofia University Hospital, University of Córdoba, Av. Menendez Pidal, S/N. 14004, Córdoba, Spain
- Food Science and Technology Department, Universidad de Córdoba, Darwin Building, 14014, Córdoba, Spain
| | - José D Torres-Peña
- Lipids and Atherosclerosis Unit, Unidad de Gestión Clinica Medicina Interna, Maimonides Institute for Biomedical Research in Córdoba (IMIBIC), Reina Sofia University Hospital, University of Córdoba, Av. Menendez Pidal, S/N. 14004, Córdoba, Spain
- CIBER Physiopathology of Obesity and Nutrition (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
| | - Magdalena P Cardelo
- Lipids and Atherosclerosis Unit, Unidad de Gestión Clinica Medicina Interna, Maimonides Institute for Biomedical Research in Córdoba (IMIBIC), Reina Sofia University Hospital, University of Córdoba, Av. Menendez Pidal, S/N. 14004, Córdoba, Spain
- CIBER Physiopathology of Obesity and Nutrition (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
| | - Antonio P Arenas-Larriva
- Lipids and Atherosclerosis Unit, Unidad de Gestión Clinica Medicina Interna, Maimonides Institute for Biomedical Research in Córdoba (IMIBIC), Reina Sofia University Hospital, University of Córdoba, Av. Menendez Pidal, S/N. 14004, Córdoba, Spain
- CIBER Physiopathology of Obesity and Nutrition (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
| | - María M Malagón
- CIBER Physiopathology of Obesity and Nutrition (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Department of Cell Biology, Physiology and Immunology, University of Cordoba, Córdoba, Spain
| | - Juan L Romero-Cabrera
- Lipids and Atherosclerosis Unit, Unidad de Gestión Clinica Medicina Interna, Maimonides Institute for Biomedical Research in Córdoba (IMIBIC), Reina Sofia University Hospital, University of Córdoba, Av. Menendez Pidal, S/N. 14004, Córdoba, Spain
- CIBER Physiopathology of Obesity and Nutrition (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
| | - José M Ordovás
- Jean Mayer US Department of Agriculture Human Nutrition Research Center on Aging, Tufts University School of Medicine, Boston, MA, USA
- IMDEA-Food Institute, CEI UAM + CSIC, Madrid, Spain
| | - Pablo Pérez-Martínez
- Lipids and Atherosclerosis Unit, Unidad de Gestión Clinica Medicina Interna, Maimonides Institute for Biomedical Research in Córdoba (IMIBIC), Reina Sofia University Hospital, University of Córdoba, Av. Menendez Pidal, S/N. 14004, Córdoba, Spain
- CIBER Physiopathology of Obesity and Nutrition (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
| | - Javier Delgado-Lista
- Lipids and Atherosclerosis Unit, Unidad de Gestión Clinica Medicina Interna, Maimonides Institute for Biomedical Research in Córdoba (IMIBIC), Reina Sofia University Hospital, University of Córdoba, Av. Menendez Pidal, S/N. 14004, Córdoba, Spain
- CIBER Physiopathology of Obesity and Nutrition (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
| | - Elena M Yubero-Serrano
- Lipids and Atherosclerosis Unit, Unidad de Gestión Clinica Medicina Interna, Maimonides Institute for Biomedical Research in Córdoba (IMIBIC), Reina Sofia University Hospital, University of Córdoba, Av. Menendez Pidal, S/N. 14004, Córdoba, Spain
- CIBER Physiopathology of Obesity and Nutrition (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
| | - José Lopez-Miranda
- Lipids and Atherosclerosis Unit, Unidad de Gestión Clinica Medicina Interna, Maimonides Institute for Biomedical Research in Córdoba (IMIBIC), Reina Sofia University Hospital, University of Córdoba, Av. Menendez Pidal, S/N. 14004, Córdoba, Spain.
- CIBER Physiopathology of Obesity and Nutrition (CIBEROBN), Institute of Health Carlos III, Madrid, Spain.
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Aboul-Soud MAM, Siddique R, Fozia F, Ullah A, Rashid Y, Ahmad I, Zaghloul NSS, Al-Rejaie SS, Mohany M. Antiplatelet, cytotoxic activities and characterization of green-synthesized zinc oxide nanoparticles using aqueous extract of Nephrolepis exaltata. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023:10.1007/s11356-023-27483-3. [PMID: 37195603 DOI: 10.1007/s11356-023-27483-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Received: 01/26/2023] [Accepted: 05/03/2023] [Indexed: 05/18/2023]
Abstract
The goal of the current study was to synthesize zinc oxide nanoparticles (ZnO-NPs) using ZnCl2.2H2O salt precursor and an aqueous extract of Nephrolepis exaltata (N. exaltata), which act as a capping and reducing agent. N. exaltata plant extract-mediated ZnO-NPs were further characterized by various techniques, such as X-ray diffraction (XRD), scanning electron microscopy (SEM), Fourier transforms infrared spectroscopy (FT-IR), UV-visible (UV-Vis), and energy-dispersive X-ray (EDX) analysis. The nanoscale crystalline phase of ZnO-NPs was analyzed by the XRD patterns. The FT-IR analysis revealed different functional groups of biomolecules involved in the reduction and stabilization of the ZnO-NPs. The light absorption and optical properties of ZnO-NPs were examined by UV-Vis spectroscopy at a wavelength of 380 nm. The spherical shape morphology of ZnO-NPs with mean particle size ranges between 60 and 80 nm was confirmed by SEM images. While the EDX analysis was used to identify the elemental composition of ZnO-NPs. Furthermore, the synthesized ZnO-NPs demonstrate potential antiplatelet activity by inhibiting the platelet aggregation induced by platelet activation factor (PAF) and arachidonic acid (AA). The results showed that synthesized ZnO-NPs were more effective in inhibiting platelet aggregation induced by AA with IC50 (56% and 10 μg/mL) and PAF (63% and 10 μg/mL), respectively. However, the biocompatibility of ZnO-NPs was assessed in human lung cancer cell line (A549) under in vitro conditions. The cytotoxicity of synthesized nanoparticles revealed that cell viability decreased and the IC50 was found to be 46.7% at a concentration of 75 μg/mL. The present work concluded the green synthesis of ZnO-NPs that was achieved by N. exaltata plant extract and showed good antiplatelet and cytotoxic activity, which demonstrates the lack of harmful effects making them more effective for use in pharmaceutical and medical fields to treat thrombotic disorders.
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Affiliation(s)
- Mourad A M Aboul-Soud
- Department of Clinical Laboratory Sciences, College of Applied Medical Sciences, King Saud University, P.O. Box 10219, Riyadh, 11433, Saudi Arabia.
| | - Rashid Siddique
- Department of Chemistry, Islamia College University, Peshawar, 26000, Pakistan
- Department of Chemistry, Kohat University of Science & Technology, Kohat, 26000, Pakistan
| | - Fozia Fozia
- Biochemistry Department, Khyber Medical University Institute of Medical Sciences, Kohat, 26000, Pakistan
| | - Asad Ullah
- Department of Chemistry, Islamia College University, Peshawar, 26000, Pakistan
| | - Yasir Rashid
- Department of Chemistry, Kohat University of Science & Technology, Kohat, 26000, Pakistan
| | - Ijaz Ahmad
- Department of Chemistry, Kohat University of Science & Technology, Kohat, 26000, Pakistan
| | - Nouf S S Zaghloul
- Bristol Centre for Functional Nanomaterials, HH Wills Physics Laboratory, Tyndall Avenue, University of Bristol, Bristol, BS8 1FD, UK
| | - Salim S Al-Rejaie
- Department of Pharmacology and Toxicology, College of Pharmacy, King Saud University, Riyadh, 11451, Saudi Arabia
| | - Mohamed Mohany
- Department of Pharmacology and Toxicology, College of Pharmacy, King Saud University, Riyadh, 11451, Saudi Arabia
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Naomi ND, Ngo J, Brouwer-Brolsma EM, Buso MEC, Soedamah-Muthu SS, Pérez-Rodrigo C, Harrold JA, Halford JCG, Raben A, Geleijnse JM, Serra-Majem L, Feskens EJM. Sugar-sweetened beverages, low/no-calorie beverages, fruit juice and non-alcoholic fatty liver disease defined by fatty liver index: the SWEET project. Nutr Diabetes 2023; 13:6. [PMID: 37085478 PMCID: PMC10121594 DOI: 10.1038/s41387-023-00237-3] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/18/2022] [Revised: 03/30/2023] [Accepted: 04/06/2023] [Indexed: 04/23/2023] Open
Abstract
BACKGROUND Sweetened beverage intake may play a role in non-alcoholic fatty liver disease (NAFLD) development, but scientific evidence on their role is limited. This study examined associations between sugar-sweetened beverages (SSB), low/no-calorie beverages (LNCB) and fruit juice (FJ) intakes and NAFLD in four European studies. METHODS Data for 42,024 participants of Lifelines Cohort, NQPlus, PREDIMED-Plus and Alpha Omega Cohort were cross-sectionally analysed. NAFLD was assessed using Fatty Liver Index (FLI) (≥60). Restricted cubic spline analyses were used to visualize dose-response associations in Lifelines Cohort. Cox proportional hazard regression analyses with robust variance were performed for associations in individual cohorts; data were pooled using random effects meta-analysis. Models were adjusted for demographic, lifestyle, and other dietary factors. RESULTS Each additional serving of SSB per day was associated with a 7% higher FLI-defined NAFLD prevalence (95%CI 1.03-1.11). For LNCB, restricted cubic spline analysis showed a nonlinear association with FLI-defined NAFLD, with the association getting stronger when consuming ≤1 serving/day and levelling off at higher intake levels. Pooled Cox analysis showed that intake of >2 LNCB servings/week was positively associated with FLI-defined NAFLD (PR 1.38, 95% CI 1.15-1.61; reference: non-consumers). An inverse association was observed for FJ intake of ≤2 servings/week (PR 0.92, 95% CI: 0.88-0.97; reference: non-consumers), but not at higher intake levels. Theoretical replacement of SSB with FJ showed no significant association with FLI-defined NAFLD prevalence (PR 0.97, 95% CI 0.95-1.00), whereas an adverse association was observed when SSB was replaced with LNCB (PR 1.12, 95% CI 1.03-1.21). CONCLUSIONS Pooling results of this study showed that SSB and LNCB were positively associated with FLI-defined NAFLD prevalence. Theoretical replacement of SSB with LNCB was associated with higher FLI-defined NAFLD prevalence. An inverse association was observed between moderate intake of FJ and FLI-defined NAFLD. Our results should be interpreted with caution as reverse causality cannot be ruled out.
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Affiliation(s)
- Novita D Naomi
- Division of Human Nutrition and Health, Wageningen University and Research, Wageningen, the Netherlands
| | - Joy Ngo
- Nutrition Research Foundation, Barcelona Science Park, Barcelona, Spain
| | - Elske M Brouwer-Brolsma
- Division of Human Nutrition and Health, Wageningen University and Research, Wageningen, the Netherlands
| | - Marion E C Buso
- Division of Human Nutrition and Health, Wageningen University and Research, Wageningen, the Netherlands
| | - Sabita S Soedamah-Muthu
- Center of Research on Psychological Disorders and Somatic Diseases (CORPS) Department of Medical and Clinical Psychology, Tilburg University, Tilburg, the Netherlands
- Institute for Food, Nutrition and Health, University of Reading, Berkshire, UK
| | | | - Joanne A Harrold
- Department of Psychology, University of Liverpool, Liverpool, UK
| | - Jason C G Halford
- Department of Psychology, University of Liverpool, Liverpool, UK
- School of Psychology, University of Leeds, Leeds, UK
| | - Anne Raben
- Department of Nutrition, Exercise, and Sports, Faculty of Science, University of Copenhagen, Copenhagen, Denmark
- Clinical Research, Copenhagen University Hospital - Steno Diabetes Center Copenhagen, Herlev, Denmark
| | - Johanna M Geleijnse
- Division of Human Nutrition and Health, Wageningen University and Research, Wageningen, the Netherlands
| | - Lluis Serra-Majem
- Research Institute of Biomedical and Health Sciences (IUIBS), University of Las Palmas de Gran Canaria, Preventive Medicine Service, Centro Hospitalario Universitario Insular Materno Infantil (CHUIMI), Canarian Health Service, Las Palmas, Spain
- Centro de Investigación Biomédica en Red Fisiopatologia de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
| | - Edith J M Feskens
- Division of Human Nutrition and Health, Wageningen University and Research, Wageningen, the Netherlands.
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Muñoz-Cabrejas A, Laclaustra M, Guallar-Castillón P, Sánchez-Recio R, Jarauta E, Casasnovas JA, Moreno-Franco B. Association of beverage consumption with subclinical atherosclerosis in a Spanish working population. Sci Rep 2023; 13:6509. [PMID: 37081095 PMCID: PMC10119384 DOI: 10.1038/s41598-023-33456-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2022] [Accepted: 04/13/2023] [Indexed: 04/22/2023] Open
Abstract
Beverages play a substantial role meeting water, calorie, and nutrient requirements; however, they are presented as being major contributors to the current obesity epidemic. Although, the relationship between beverage consumption and metabolic risk factors for cardiovascular disease (CVD) in adults has been frequently studied, its association with subclinical atherosclerosis is of increased interest. We studied the association of beverage consumption with the presence of peripheral subclinical atherosclerosis among Spanish workers. We performed a cross-sectional study of 2089 middle-aged males, with a mean age of 50.9 (SD 3.9), and without CVD, carried out in the Aragon Workers' Health Study (AWHS). A food frequency questionnaire was used to measure beverage consumption of low-fat milk, coffee and tea (unsweetened), whole-fat milk, sugar-sweetened beverages, bottled fruit juice, artificially-sweetened beverages and 100% fruit juice. Atherosclerotic plaques were measured by ultrasound (in carotid arteries, and in femoral arteries). Atherosclerotic plaque was defined as a focal structure protruding ≥ 0.5 mm into the lumen, or reaching a thickness ≥ 50% of the surrounding intima-media thickness. As statistical analysis, we use logistic regression models, simultaneously adjusted for all beverage groups. As results, unsweetened coffee was the beverage most associated with peripheral subclinical atherosclerosis with an odds ratio (OR) of 1.25 (1.10-1.41), and 1.23 (1.09-1.40) 100g/day] for carotid, and femoral territories respectively. Moreover, subclinical atherosclerosis was positively associated with whole-fat milk [OR 1.10 (1.02-1.18) 100 g/day] in the femoral territory. The association was protective for low-fat milk in the carotid territory [OR 0.93 (0.88-0.99) 100g/day]. There was also a protective association with bottled fruit juices in the femoral territory [0.84 (0.74-0.94) 100g/day]. Our results suggest a detrimental association with the consumption of coffee, as well as with whole-fat milk and the presence of subclinical atherosclerosis. Therefore, an element of prudence excluding water and low-fat milk, must be applied when recommending beverage consumption.
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Affiliation(s)
- Ainara Muñoz-Cabrejas
- Instituto de Investigación Sanitaria Aragón, Hospital Universitario Miguel Servet, 50009, Zaragoza, Spain
- Department of Preventive Medicine and Public Health, Universidad de Zaragoza, C/Domingo Miral S/N, 50009, Zaragoza, Spain
| | - Martín Laclaustra
- Instituto de Investigación Sanitaria Aragón, Hospital Universitario Miguel Servet, 50009, Zaragoza, Spain.
- Department of Medicine, Psychiatry and Dermatology, Universidad de Zaragoza, C/Domingo Miral S/N, 50009, Zaragoza, Spain.
- CIBERCV (CIBER de Enfermedades Cardiovasculares), 28029, Madrid, Spain.
| | - Pilar Guallar-Castillón
- Department of Preventive Medicine and Public Health, Universidad Autónoma de Madrid, 28029, Madrid, Spain
- CIBERESP (CIBER de Epidemiología y Salud Pública), 28029, Madrid, Spain
- IMDEA-Food Institute. CEI UAM+CSIC, 28049, Madrid, Spain
| | - Raquel Sánchez-Recio
- Instituto de Investigación Sanitaria Aragón, Hospital Universitario Miguel Servet, 50009, Zaragoza, Spain
- Department of Preventive Medicine and Public Health, Universidad de Zaragoza, C/Domingo Miral S/N, 50009, Zaragoza, Spain
| | - Estíbaliz Jarauta
- Instituto de Investigación Sanitaria Aragón, Hospital Universitario Miguel Servet, 50009, Zaragoza, Spain
- Department of Medicine, Psychiatry and Dermatology, Universidad de Zaragoza, C/Domingo Miral S/N, 50009, Zaragoza, Spain
- CIBERCV (CIBER de Enfermedades Cardiovasculares), 28029, Madrid, Spain
| | - José Antonio Casasnovas
- Instituto de Investigación Sanitaria Aragón, Hospital Universitario Miguel Servet, 50009, Zaragoza, Spain
- Department of Medicine, Psychiatry and Dermatology, Universidad de Zaragoza, C/Domingo Miral S/N, 50009, Zaragoza, Spain
- CIBERCV (CIBER de Enfermedades Cardiovasculares), 28029, Madrid, Spain
| | - Belén Moreno-Franco
- Instituto de Investigación Sanitaria Aragón, Hospital Universitario Miguel Servet, 50009, Zaragoza, Spain.
- Department of Preventive Medicine and Public Health, Universidad de Zaragoza, C/Domingo Miral S/N, 50009, Zaragoza, Spain.
- CIBERCV (CIBER de Enfermedades Cardiovasculares), 28029, Madrid, Spain.
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Domínguez-López I, Lozano-Castellón J, Vallverdú-Queralt A, Jáuregui O, Martínez-González MÁ, Hu FB, Fitó M, Ros E, Estruch R, Lamuela-Raventós RM. Urinary metabolomics of phenolic compounds reveals biomarkers of type-2 diabetes within the PREDIMED trial. Biomed Pharmacother 2023; 162:114703. [PMID: 37062219 DOI: 10.1016/j.biopha.2023.114703] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2023] [Revised: 04/11/2023] [Accepted: 04/12/2023] [Indexed: 04/18/2023] Open
Abstract
BACKGROUND Phenolic compounds have been associated with protective effects against type-2 diabetes (T2D). We used a metabolomics approach to determine urinary phenolic metabolites associated with T2D and fasting plasma glucose. METHODS This case-control study within the PREDIMED trial included 200 participants at high cardiovascular risk, 102 of whom were diagnosed with T2D. A panel of urinary phenolic compounds were analysed using a novel method based on liquid chromatography coupled to mass spectrometry. Multivariate statistics and adjusted logistic regressions were applied to determine the most discriminant compounds and their association with T2D. The relationship between the discriminant phenolic compounds and plasma glucose was assessed using multivariable linear regressions. RESULTS A total of 41 phenolic compounds were modeled in the orthogonal projection to latent structures discriminant analysis, and after applying adjusted logistic regressions two were selected as discriminant: dihydrocaffeic acid (OR = 0.22 (CI 95 %: 0.09; 0.52) per 1-SD, p-value = 0.021) and genistein diglucuronide (OR = 0.72 (CI 95%: 0.59; 0.88) per 1-SD, p-value = 0.021). Both metabolites were associated with a lower risk of suffering from T2D, but only dihydrocaffeic acid was inversely associated with plasma glucose (β = -17.12 (95 % CI: -29.92; -4.32) mg/dL per 1-SD, p-value = 0.009). CONCLUSIONS A novel method using a metabolomics approach was developed to analyse a panel of urinary phenolic compounds for potential associations with T2D, and two metabolites, dihydrocaffeic acid and genistein diglucuronide, were found to be associated with a lower risk of this condition.
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Affiliation(s)
- Inés Domínguez-López
- Polyphenol Research Group, Departament de Nutrició, Ciències de l'Alimentació i Gastronomia, Universitat de Barcelon (UB), Av. de Joan XXII, 27-31, 08028 Barcelona, Spain; Institut de Nutrició i Seguretat Alimentària (INSA), Universitat de Barcelona (UB), Santa Coloma de Gramanet, Spain; CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, 28029 Madrid, Spain
| | - Julián Lozano-Castellón
- Polyphenol Research Group, Departament de Nutrició, Ciències de l'Alimentació i Gastronomia, Universitat de Barcelon (UB), Av. de Joan XXII, 27-31, 08028 Barcelona, Spain; Institut de Nutrició i Seguretat Alimentària (INSA), Universitat de Barcelona (UB), Santa Coloma de Gramanet, Spain; CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, 28029 Madrid, Spain
| | - Anna Vallverdú-Queralt
- Polyphenol Research Group, Departament de Nutrició, Ciències de l'Alimentació i Gastronomia, Universitat de Barcelon (UB), Av. de Joan XXII, 27-31, 08028 Barcelona, Spain; Institut de Nutrició i Seguretat Alimentària (INSA), Universitat de Barcelona (UB), Santa Coloma de Gramanet, Spain; CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, 28029 Madrid, Spain
| | - Olga Jáuregui
- Centres Científics i Tecnològics de la Universitat de Barcelona (CCiTUB), 08028 Barcelona, Spain
| | - Miguel Ángel Martínez-González
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, 28029 Madrid, Spain; Department of Preventive Medicine and Public Health, University of Navarra, IdiSNA, 31008 Pamplona, Spain
| | - Frank B Hu
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Montserrat Fitó
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, 28029 Madrid, Spain; Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas (IMIM), 08007 Barcelona, Spain
| | - Emilio Ros
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, 28029 Madrid, Spain; Department of Endocrinology, Hospital Clinic, IDIBAPS, Barcelona, Spain
| | - Ramon Estruch
- Institut de Nutrició i Seguretat Alimentària (INSA), Universitat de Barcelona (UB), Santa Coloma de Gramanet, Spain; CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, 28029 Madrid, Spain; Department of Internal Medicine, Hospital Clinic, Institut d'Investigació Biomèdica August Pi i Sunyer (IDIBAPS), University of Barcelona, Barcelona, Spain
| | - Rosa M Lamuela-Raventós
- Polyphenol Research Group, Departament de Nutrició, Ciències de l'Alimentació i Gastronomia, Universitat de Barcelon (UB), Av. de Joan XXII, 27-31, 08028 Barcelona, Spain; Institut de Nutrició i Seguretat Alimentària (INSA), Universitat de Barcelona (UB), Santa Coloma de Gramanet, Spain; CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, 28029 Madrid, Spain.
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73
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Sanchis P, Prieto RM, Konieczna J, Grases F, Abete I, Salas-Salvadó J, Martín V, Ruiz-Canela M, Babio N, García-Gavilán JF, Goday A, Costa-Bauza A, Martínez JA, Romaguera D. Estimated Phytate Intake Is Associated with Bone Mineral Density in Mediterranean Postmenopausal Women. Nutrients 2023; 15:nu15071791. [PMID: 37049631 PMCID: PMC10097286 DOI: 10.3390/nu15071791] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2023] [Revised: 04/03/2023] [Accepted: 04/04/2023] [Indexed: 04/14/2023] Open
Abstract
The main objective of this work was to explore the association of dietary phytate intake with bone mineral density (BMD) in a Mediterranean population of postmenopausal women. For this purpose, a cross-sectional analysis of 561 women aged 55-75 years with overweight/obesity and metabolic syndrome from a Mediterranean area and with data on dual-energy X-ray absorptiometry (DXA) scans in femur and lumbar spine was performed. Estimated phytate intake was calculated using a validated food frequency questionnaire. Our results indicated that phytate intake was associated with BMD [β(95%CI) per each 25 mg/100 kcal] in femoral neck [0.023(0.060-0.040) g/cm2], femoral Ward's triangle [0.033(0.013-0.054) g/cm2], total femur [0.018(0.001-0.035) g/cm2], and all the analyzed lumbar spine sites [L1-L4: 0.033(0.007-0.059) g/cm2] after adjusting for potential confounders. The sensitivity analysis showed that phytate intake was directly associated with lumbar spine BMD in women younger than 66 years, with a body mass index higher than 32.6 kg/cm2 and without type 2 diabetes (all p-for interactions < 0.05). The overall results indicated that phytate, a substance present in food as cereals, legumes and nuts, was positively associated with BMD in Mediterranean postmenopausal women. Phytate may have a protective effect on bone resorption by adsorbing on the surfaces of HAP. Nevertheless, large, long-term, and randomized prospective clinical studies must be performed to assess the possible benefits of phytate consumption on BMD in postmenopausal women.
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Grants
- NIH 1R01DK127601 NIH HHS
- Advanced Research Grant 2014-2019; agreement #34091 European Research Council
- PI13/00673, PI13/00492, PI13/00272, PI13/01123, PI13/00462,PI13/00233, PI13/02184, PI13/00728, PI13/01090, PI13/01056, PI14/01722,PI14/00636, PI14/00618, PI14/00696, PI14/01206, PI14/01919,PI14/00853,PI14/01374, PI14/00972, PI14/00728, PI14/01471, PI16/00 Instituto de Salud Carlos III
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Affiliation(s)
- Pilar Sanchis
- Laboratory of Renal Lithiasis Research, University Institute of Health Science Research (IUNICS), Health Research Institute of the Balearic Islands (IdISBa), University of the Balearic Islands, 07122 Palma de Mallorca, Spain
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain
| | - Rafael María Prieto
- Laboratory of Renal Lithiasis Research, University Institute of Health Science Research (IUNICS), Health Research Institute of the Balearic Islands (IdISBa), University of the Balearic Islands, 07122 Palma de Mallorca, Spain
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain
| | - Jadwiga Konieczna
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain
- Research Group on Nutritional Epidemiology & Cardiovascular Physiopathology (NUTRECOR), Health Research Institute of the Balearic Islands (IdISBa), 07120 Palma de Mallorca, Spain
| | - Félix Grases
- Laboratory of Renal Lithiasis Research, University Institute of Health Science Research (IUNICS), Health Research Institute of the Balearic Islands (IdISBa), University of the Balearic Islands, 07122 Palma de Mallorca, Spain
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain
| | - Itziar Abete
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain
- Department of Nutrition, Food Sciences, and Physiology, Center for Nutrition Research, Navarra Institute for Health Research (IdiSNA), University of Navarra, 31008 Pamplona, Spain
| | - Jordi Salas-Salvadó
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain
- Unitat de Nutrició Humana, Departament de Bioquímica i Biotecnologia, Universitat Rovira i Virgili, 43007 Tarragona, Spain
- Institut d'Investigació Pere Virgili (IISPV), 43204 Reus, Spain
| | - Vicente Martín
- CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain
- Institute of Biomedicine (IBIOMED), University of León, 24071 León, Spain
| | - Miguel Ruiz-Canela
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain
- Department of Preventive Medicine and Public Health, IdiSNA, University of Navarra, 31008 Pamplona, Spain
| | - Nancy Babio
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain
- Unitat de Nutrició Humana, Departament de Bioquímica i Biotecnologia, Universitat Rovira i Virgili, 43007 Tarragona, Spain
- Institut d'Investigació Pere Virgili (IISPV), 43204 Reus, Spain
| | - Jesús Francisco García-Gavilán
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain
- Unitat de Nutrició Humana, Departament de Bioquímica i Biotecnologia, Universitat Rovira i Virgili, 43007 Tarragona, Spain
- Institut d'Investigació Pere Virgili (IISPV), 43204 Reus, Spain
| | - Albert Goday
- Cardiovascular Risk and Nutrition Research Group, Hospital del Mar Medical Research Institute (IMIM), Department of Medicine, University of Barcelona, 08193 Barcelona, Spain
| | - Antonia Costa-Bauza
- Laboratory of Renal Lithiasis Research, University Institute of Health Science Research (IUNICS), Health Research Institute of the Balearic Islands (IdISBa), University of the Balearic Islands, 07122 Palma de Mallorca, Spain
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain
| | - José Alfredo Martínez
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain
- Department of Nutrition, Food Sciences, and Physiology, Center for Nutrition Research, Navarra Institute for Health Research (IdiSNA), University of Navarra, 31008 Pamplona, Spain
- Precision Nutrition and Cardiometabolic Health Program, IMDEA Food, CEI UAM + CSIC, 28049 Madrid, Spain
| | - Dora Romaguera
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain
- Research Group on Nutritional Epidemiology & Cardiovascular Physiopathology (NUTRECOR), Health Research Institute of the Balearic Islands (IdISBa), 07120 Palma de Mallorca, Spain
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74
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Henn M, Babio N, Romaguera D, Vázquez-Ruiz Z, Konieczna J, Vioque J, Torres-Collado L, Razquin C, Buil-Cosiales P, Fitó M, Schröder H, Hu FB, Abete I, Zulet MÁ, Fernández-Villa T, Martín V, Estruch R, Vidal J, Paz-Graniel I, Martínez JA, Salas-Salvadó J, Martínez-González MA, Ruiz-Canela M. Increase from low to moderate, but not high, caffeinated coffee consumption is associated with favorable changes in body fat. Clin Nutr 2023; 42:477-485. [PMID: 36870243 DOI: 10.1016/j.clnu.2023.02.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2022] [Revised: 12/07/2022] [Accepted: 02/07/2023] [Indexed: 02/13/2023]
Abstract
BACKGROUND & AIMS Higher consumption of coffee and caffeine has been linked to less weight gain and lower body mass index in prospective cohort studies. The aim of the study was to longitudinally assess the association of changes in coffee and caffeine intake with changes in fat tissue, in particular, visceral adipose tissue (VAT) using dual x-ray absorptiometry (DXA). METHODS In the setting of a large, randomized trial of Mediterranean diet and physical activity intervention, we evaluated 1483 participants with metabolic syndrome (MetS). Repeated measurements of coffee consumption from validated food frequency questionnaires (FFQ) and DXA measurements of adipose tissue were collected at baseline, 6 months, 12 months and 3 years of follow-up. DXA-derived measurements of total and regional adipose tissue expressed as % of total body weight were transformed into sex-specific z-scores. Linear multilevel mixed-effect models were used to investigate the relationship between changes in coffee consumption and corresponding concurrent changes in fat tissue during a 3-year follow-up. RESULTS After adjustment for intervention group, and other potential confounders, an increase in caffeinated coffee consumption from no or infrequent consumption (≤3 cups/month) to moderate consumption (1-7 cups/week) was associated with reductions in total body fat (Δ z-score: -0.06; 95% CI: -0.11 to -0.02), trunk fat (Δ z-score: -0.07; 95% CI: -0.12 to -0.02), and VAT (Δ z-score: -0.07; 95% CI: -0.13 to -0.01). Neither changes from no or infrequent consumption to high levels of caffeinated coffee consumption (>1 cup/day) nor any changes in decaffeinated coffee consumption showed significant associations with changes in DXA measures. CONCLUSIONS Moderate changes in the consumption of caffeinated coffee, but not changes to high consumption, were associated with reductions in total body fat, trunk fat and VAT in a Mediterranean cohort with MetS. Decaffeinated coffee was not linked to adiposity indicators. Moderate consumption of caffeinated coffee may be part of a weight management strategy. TRIAL REGISTRATION The trial was registered at the International Standard Randomized Controlled Trial (ISRCTN: http://www.isrctn.com/ISRCTN89898870) with number 89898870 and registration date of 24 July 2014, retrospectively registered.
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Affiliation(s)
- Matthias Henn
- University of Navarra- IdiSNA (Instituto de Investigacion Sanitaria de Navarra), Department of Preventive Medicine and Public Health, Pamplona, Spain; Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
| | - Nancy Babio
- CIBER Fisiopatología de La Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain; Universitat Rovira i Virgili, Institut D'Investigació Sanitària Pere i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana, 43201 Reus, Spain
| | - Dora Romaguera
- CIBER Fisiopatología de La Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain; Research Group on Nutritional Epidemiology & Cardiovascular Physiopathology (NUTRECOR), Health Research Institute of the Balearic Islands (IdISBa), University Hospital Son Espases (HUSE), Palma de Mallorca, Spain
| | - Zenaida Vázquez-Ruiz
- University of Navarra- IdiSNA (Instituto de Investigacion Sanitaria de Navarra), Department of Preventive Medicine and Public Health, Pamplona, Spain; CIBER Fisiopatología de La Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain
| | - Jadwiga Konieczna
- CIBER Fisiopatología de La Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain; Research Group on Nutritional Epidemiology & Cardiovascular Physiopathology (NUTRECOR), Health Research Institute of the Balearic Islands (IdISBa), University Hospital Son Espases (HUSE), Palma de Mallorca, Spain
| | - Jesús Vioque
- Instituto de Investigación Sanitaria y Biomédica de Alicante, ISABIAL-UMH, Alicante, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Laura Torres-Collado
- Instituto de Investigación Sanitaria y Biomédica de Alicante, ISABIAL-UMH, Alicante, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Cristina Razquin
- University of Navarra- IdiSNA (Instituto de Investigacion Sanitaria de Navarra), Department of Preventive Medicine and Public Health, Pamplona, Spain; CIBER Fisiopatología de La Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain
| | - Pilar Buil-Cosiales
- University of Navarra- IdiSNA (Instituto de Investigacion Sanitaria de Navarra), Department of Preventive Medicine and Public Health, Pamplona, Spain; CIBER Fisiopatología de La Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain; Servicios de Atención Primaria, Servicio Navarro de Salud, Osasunbidea, Pamplona, Spain
| | - Montserrat Fitó
- CIBER Fisiopatología de La Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain; Cardiovascular Risk and Nutrition Research Group, Hospital Del Mar Medical Research Institute (IMIM), Department of Medicine, University of Barcelona, Barcelona, Spain
| | - Helmut Schröder
- CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Cardiovascular Risk and Nutrition Research Group, Hospital Del Mar Medical Research Institute (IMIM), Department of Medicine, University of Barcelona, Barcelona, Spain
| | - Frank B Hu
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Itziar Abete
- CIBER Fisiopatología de La Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain; Department of Nutrition, Food Sciences, And Physiology, Center for Nutrition Research, Pamplona, University of Navarra, Navarra Institute for Health Research (IdiSNA), Pamplona, Spain
| | - M Ángeles Zulet
- CIBER Fisiopatología de La Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain; Department of Nutrition, Food Sciences, And Physiology, Center for Nutrition Research, Pamplona, University of Navarra, Navarra Institute for Health Research (IdiSNA), Pamplona, Spain
| | - Tania Fernández-Villa
- CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; The Research Group in Gene - Environment and Health Interactions (GIIGAS) / Institute of Biomedicine (IBIOMED), University of León, León, Spain
| | - Vicente Martín
- CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; The Research Group in Gene - Environment and Health Interactions (GIIGAS) / Institute of Biomedicine (IBIOMED), University of León, León, Spain
| | - Ramón Estruch
- CIBER Fisiopatología de La Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain; Department of Internal Medicine, IDIBAPS, Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - Josep Vidal
- CIBER Diabetes y Enfermedades Metabólicas (CIBERDEM), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; Department of Endocrinology, Institut D'Investigacions Biomédiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - Indira Paz-Graniel
- CIBER Fisiopatología de La Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain; Universitat Rovira i Virgili, Institut D'Investigació Sanitària Pere i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana, 43201 Reus, Spain
| | - J Alfredo Martínez
- CIBER Fisiopatología de La Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain; Department of Nutrition, Food Sciences, And Physiology, Center for Nutrition Research, Pamplona, University of Navarra, Navarra Institute for Health Research (IdiSNA), Pamplona, Spain; Precision Nutrition and Cardiometabolic Health Program, IMDEA Food, CEI UAM + CSIC, Madrid, Spain
| | - Jordi Salas-Salvadó
- CIBER Fisiopatología de La Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain; Universitat Rovira i Virgili, Institut D'Investigació Sanitària Pere i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana, 43201 Reus, Spain
| | - Miguel A Martínez-González
- University of Navarra- IdiSNA (Instituto de Investigacion Sanitaria de Navarra), Department of Preventive Medicine and Public Health, Pamplona, Spain; CIBER Fisiopatología de La Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain
| | - Miguel Ruiz-Canela
- University of Navarra- IdiSNA (Instituto de Investigacion Sanitaria de Navarra), Department of Preventive Medicine and Public Health, Pamplona, Spain; CIBER Fisiopatología de La Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain.
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75
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Arancibia-Riveros C, Domínguez-López I, Tresserra-Rimbau A, Guo X, Estruch R, Martínez-González MÁ, Fitó M, Ros E, Ruiz-Canela M, Lamuela-Raventós RM. Total urinary polyphenol excretion: a biomarker of an anti-inflammatory diet and metabolic syndrome status. Am J Clin Nutr 2023; 117:814-822. [PMID: 37019541 DOI: 10.1016/j.ajcnut.2022.12.016] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2022] [Revised: 12/20/2022] [Accepted: 12/22/2022] [Indexed: 04/05/2023] Open
Abstract
BACKGROUND Chronic inflammation is associated with noncommunicable diseases, including obesity, metabolic syndrome (MetS), and CVDs. The Mediterranean diet has been shown to have strong anti-inflammatory effects, attributed in part to the polyphenol richness of many of its components. OBJECTIVES This study aimed to assess the value of polyphenols as a urinary biomarker of an anti-inflammatory diet and their influence on MetS status. METHODS A longitudinal analysis was performed in Spain considering 543 participants with high CVD risk in a PREDIMED study. Approximately 52% of the participants were women and 48% were men with a mean age of 67.5 (5.9) y. Total polyphenol excretion (TPE) in urine was determined at baseline and 5 y of intervention using a validated Folin-Ciocalteu spectrophotometric method, and the dietary inflammatory index (DII) was calculated from a validated 137-item food-frequency questionnaire. Three categories were built according to tertiles of change in the DII score. Multivariable linear regression analyses were performed to assess the association of changes in TPE with changes in the DII scores and with MetS status at 5 y. RESULTS Tertiles 2 and 3 compared with tertile 1 presented a lower anti-inflammatory potential of the diet and were inversely associated with TPE in women [-0.30 mg gallic acid equivalent (GAE)/g creatinine; 95% CI: -0.46, -0.15; P value = 0.006 and -0.29 mg GAE/g creatinine; 95% CI: -0.43, -0.15; P value = 0.005], respectively. The mean changes in TPE were 7.9 (56.1) mg GAE/g creatinine in women and 7.7 (48.2) mg GAE/g creatinine in men. In addition, TPE was inversely associated with changes in MetS status [-0.06 (-0.09; -0.02), P value = 0.009] in both men and women. CONCLUSIONS Urinary polyphenols may be a potential biomarker of anti-inflammatory diet consumption in women and are prospectively associated with improvement in MetS.
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Ruiz-Cortés M, Múzquiz-Barberá P, Herrero R, Vara MD, Escrivá-Martínez T, Carcelén R, Rodilla E, Baños RM, Lisón JF. How the Presence of a Doctor Known to Patients Impacts a Web-Based Intervention to Promote Physical Activity and Healthy Eating Behaviour in Individuals with an Overweight/Obesity–Hypertension Phenotype: A Randomised Clinical Trial. Nutrients 2023; 15:nu15071624. [PMID: 37049465 PMCID: PMC10097159 DOI: 10.3390/nu15071624] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2023] [Revised: 03/22/2023] [Accepted: 03/24/2023] [Indexed: 03/30/2023] Open
Abstract
(1) Background: The ‘Living Better’ web-based programme has shown short- and long-term benefits for body composition and psychological variables in obese patients with hypertension by promoting a healthier lifestyle. To further explore the potential of this programme, in this work we aimed to explore the possible effect of the patient’s ‘own doctor’ appearing in the video content of the Living Better intervention. (2) Methods: A total of 132 patients were randomly assigned either to the experimental (EG, n = 70) or control (CG, n = 62) group (with a doctor the patient knew as ‘their own’ or an ‘unknown doctor’, respectively). The body mass index (BMI), motivation towards physical activity (PA), PA levels, motivation to change one’s eating habits, adherence to the Mediterranean diet, and eating behaviour were all assessed and compared at baseline and post-intervention (12 weeks). (3) Results: The results of this study confirmed the positive effects of the Living Better programme on BMI and external eating style, with significant improvements in these variables in both groups. In addition, in the EG there was higher intrinsic motivation to change eating behaviour (mean difference of 0.9, 95% CI [0.1, 1.6], p = 0.032) and lower amotivation (mean difference of −0.6, 95% CI [−1.2, −0.1], p = 0.027) compared to the CG. (4) Conclusions: This study suggests that the presence of the patients’ own doctor in the audiovisual content of the Living Better intervention did not have significant additional benefits in terms of BMI or external eating style. However, their presence did improve intrinsic motivation and amotivation related to eating habits.
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Affiliation(s)
- Marta Ruiz-Cortés
- Department of Biomedical Sciences, Faculty of Health Sciences, University CEU-Cardenal Herrera, CEU Universities, 46115 Valencia, Spain
| | - Pedro Múzquiz-Barberá
- Department of Nursing and Physiotherapy, Faculty of Health Sciences, University CEU-Cardenal Herrera, CEU Universities, 46115 Valencia, Spain
| | - Rocío Herrero
- Department of Psychology and Sociology, Universidad de Zaragoza, 50009 Teruel, Spain
- Centre of Physiopathology of Obesity and Nutrition (CIBERobn), CB06/03/0052, Instituto de Salud Carlos III, 28029 Madrid, Spain
| | - María Dolores Vara
- Centre of Physiopathology of Obesity and Nutrition (CIBERobn), CB06/03/0052, Instituto de Salud Carlos III, 28029 Madrid, Spain
- Polibienestar Research Institute, Universitat de València, 46022 Valencia, Spain
| | - Tamara Escrivá-Martínez
- Centre of Physiopathology of Obesity and Nutrition (CIBERobn), CB06/03/0052, Instituto de Salud Carlos III, 28029 Madrid, Spain
- Polibienestar Research Institute, Universitat de València, 46022 Valencia, Spain
| | - Raquel Carcelén
- Department of Medicine and Surgery, Faculty of Health Sciences, University CEU-Cardenal Herrera, CEU Universities, 46115 Valencia, Spain
| | - Enrique Rodilla
- Department of Medicine and Surgery, Faculty of Health Sciences, University CEU-Cardenal Herrera, CEU Universities, 46115 Valencia, Spain
- Hypertension and Vascular Risk Unit, Hospital Universitario de Sagunto, 46115 Valencia, Spain
| | - Rosa María Baños
- Centre of Physiopathology of Obesity and Nutrition (CIBERobn), CB06/03/0052, Instituto de Salud Carlos III, 28029 Madrid, Spain
- Polibienestar Research Institute, Universitat de València, 46022 Valencia, Spain
| | - Juan Francisco Lisón
- Department of Biomedical Sciences, Faculty of Health Sciences, University CEU-Cardenal Herrera, CEU Universities, 46115 Valencia, Spain
- Centre of Physiopathology of Obesity and Nutrition (CIBERobn), CB06/03/0052, Instituto de Salud Carlos III, 28029 Madrid, Spain
- Correspondence: ; Tel.: +34-961369000 (ext. 64540)
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Bouzas C, Pastor R, Garcia S, Monserrat-Mesquida M, Martínez-González MÁ, Salas-Salvadó J, Corella D, Goday A, Martínez JA, Alonso-Gómez ÁM, Fernández-Barceló O, Vioque J, Romaguera D, Lopez-Miranda J, Estruch R, Tinahones FJ, Lapetra J, Serra-Majem L, Riquelme-Gallego B, Martín-Sánchez V, Pintó X, Delgado-Rodriguez M, Matía P, Vidal J, Cardenas-Salas JJ, Daimiel L, Ros E, Toledo E, Manzanares JM, Gonzalez-Monge I, Muñoz MÁ, Martinez-Urbistondo D, Tojal-Sierra L, Muñoz-Bravo C, Miralles-Gisbert S, Martin M, García-Ríos A, Castro-Barquero S, Fernández-García JC, Santos-Lozano JM, Basterra-Gortari FJ, Gutiérrez-Carrasquilla L, Guillem-Saiz P, Satorres A, Abete I, Sorto-Sanchez C, Díez-Espino J, Babio N, Fitó M, Tur JA. Comparative effects of glucagon-like peptide-1 receptors agonists, 4-dipeptidyl peptidase inhibitors, and metformin on metabolic syndrome. Biomed Pharmacother 2023; 161:114561. [PMID: 36934556 DOI: 10.1016/j.biopha.2023.114561] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2023] [Revised: 03/15/2023] [Accepted: 03/15/2023] [Indexed: 03/19/2023] Open
Abstract
AIMS To assess the comparative effects of glucagon-like peptide-1 receptor agonists (GLP-1RA), 4-dipeptidyl peptidase inhibitors (DPP-4I), and metformin treatment during one year on metabolic syndrome (MetS) components and severity in MetS patients. METHODS Prospective study (n = 6165 adults) within the frame of PREDIMED-Plus trial. The major end-point was changes on MetS components and severity after one- year treatment of GLP-1RA, DPP-4I, and metformin. Anthropometric measurements (weight, height and waist circumference), body mass index (BM), and blood pressure were registered. Blood samples were collected after overnight fasting. Plasma glucose, glycosylated hemoglobin (HbA1c), plasma triglycerides and cholesterol were measured. Dietary intakes as well as physical activity were assessed through validated questionnaires. RESULTS MetS parameters improved through time. The treated groups improved glycaemia compared with untreated (glycaemia ∆ untreated: -1.7 mg/dL(± 13.5); ∆ metformin: - 2.5(± 23.9) mg/dL; ∆ DPP-4I: - 4.5(± 42.6); mg/dL ∆ GLP-1RA: - 4.3(± 50.9) mg/dL; and HbA1c: ∆ untreated: 0.0(± 0.3) %; ∆ metformin: - 0.1(± 0.7) %; ∆ DPP-4I: - 0.1(± 1.0) %; ∆ GLP-1RA: - 0.2(± 1.2) %. Participants decreased BMI and waist circumference. GLP-1RA and DPP-4I participants registered the lowest decrease in BMI (∆ untreated: -0.8(± 1.6) kg/m2; ∆ metformin: - 0.8(± 1.5) kg/m2; ∆ DPP-4I: - 0.6(± 1.3) kg/m2; ∆ GLP-1RA: - 0.5(± 1.2) kg/m2. and their waist circumference (∆ untreated: -2.8(± 5.2) cm; ∆ metformin: - 2.6(± 15.2) cm; ∆ DPP-4I: - 2.1(± 4.8) cm; ∆ GLP-1RA: - 2.4(± 4.1) cm. CONCLUSION In patients with MetS and healthy lifestyle intervention, those treated with GLP-1RA and DPP-4I obtained better glycemic profile. Anthropometric improvements were modest.
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Affiliation(s)
- Cristina Bouzas
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; Research Group on Community Nutrition & Oxidative Stress, University of Balearic Islands-IUNICS, 07122 Palma de Mallorca, Spain; Health Research Institute of the Balearic Islands (IdISBa), 07120 Palma de Mallorca, Spain
| | - Rosario Pastor
- Research Group on Community Nutrition & Oxidative Stress, University of Balearic Islands-IUNICS, 07122 Palma de Mallorca, Spain; Faculty of Health Sciences,Catholic University of Avila, 05005 Avila, Spain
| | - Silvia Garcia
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; Research Group on Community Nutrition & Oxidative Stress, University of Balearic Islands-IUNICS, 07122 Palma de Mallorca, Spain; Health Research Institute of the Balearic Islands (IdISBa), 07120 Palma de Mallorca, Spain
| | - Margalida Monserrat-Mesquida
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; Research Group on Community Nutrition & Oxidative Stress, University of Balearic Islands-IUNICS, 07122 Palma de Mallorca, Spain; Health Research Institute of the Balearic Islands (IdISBa), 07120 Palma de Mallorca, Spain
| | - Miguel Ángel Martínez-González
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; University of Navarra, Department of Preventive Medicine and Public Health, IDISNA, 31008 Pamplona, Spain; Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, USA
| | - Jordi Salas-Salvadó
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; Universitat Rovira i Virgili, Biochemistry and Biotechnology Department, Human Nutrition Unit, IISPV, Hospital Universitari de Sant Joan, 43201 Reus, Spain; Unidad de Nutrición, Lípidos y Endocrinologia, Hospital Universitari de Sant Joan de Reus, Institut d'Insvestigacions Sanitàries Pere Virgili (IISPV), 43201 Reus, Spain
| | - Dolores Corella
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; Department of Preventive Medicine, University of Valencia, 46100 Valencia, Spain
| | - Albert Goday
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d'Investigació Mèdica (IMIM), 08003 Barcelona, Spain
| | - J Alfredo Martínez
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; Cardiometabolics Precision Nutrition Program, IMDEA Food, CEI UAM + CSIC, 28049 Madrid, Spain; Department of Nutrition, Food Sciences, and Physiology, Center for Nutrition Research, University of Navarra, 31008 Pamplona, Spain
| | - Ángel M Alonso-Gómez
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; Bioaraba Health Research Institute, Osakidetza Basque Health Service, Araba University Hospital, University of the Basque Country UPV/EHU, 48013 Vitoria, Gasteiz, Spain
| | - Olga Fernández-Barceló
- Department of Nursing, School of Health Sciences, University of Malaga, Institute of Biomedical Research in Málaga (IBIMA-University of Malaga), 29071 Málaga, Spain
| | - Jesús Vioque
- Instituto de Investigación Sanitaria y Biomédica de Alicante, ISABIAL-UMH, 03550 Alicante, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain
| | - Dora Romaguera
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; Health Research Institute of the Balearic Islands (IdISBa), 07120 Palma de Mallorca, Spain
| | - José Lopez-Miranda
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; Lipids and Atherosclerosis Unit, Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, 14004 Córdoba, Spain
| | - Ramón Estruch
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; Department of Internal Medicine, IDIBAPS, Hospital Clinic, University of Barcelona, 08036 Barcelona, Spain
| | - Francisco J Tinahones
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; Virgen de la Victoria Hospital, Department of Endocrinology, University of Málaga, 29010 Málaga, Spain
| | - José Lapetra
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; Department of Family Medicine, Research Unit, Distrito Sanitario Atención Primaria Sevilla, 41013 Sevilla, Spain
| | - Lluís Serra-Majem
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; Institute for Biomedical Research, University of Las Palmas de Gran Canaria, 35016 Las Palmas, Spain
| | - Blanca Riquelme-Gallego
- CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; Department of Preventive Medicine, University of Granada, 18071 Granada, Spain
| | - Vicente Martín-Sánchez
- CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; Institute of Biomedicine (IBIOMED), University of León, 24071 Leon, Spain
| | - Xavier Pintó
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; Lipids and Vascular Risk Unit, Internal Medicine, Hospital Universitario de Bellvitge, Hospital Universitario de Bellvitge, 08907 Barcelona, Spain
| | - Miguel Delgado-Rodriguez
- CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; Department of Health Sciences, Center for Advanced Studies in Olive Grove and Olive Oils, University of Jaen, 23071 Jaen, Spain
| | - Pilar Matía
- Department of Endocrinology and Nutrition, Instituto de Investigación Sanitaria San Carlos (IdISSC), 28040 Madrid, Spain
| | - Josep Vidal
- Department of Endocrinology, IDIBAPS, Hospital Clinic, University of Barcelona, 08036 Barcelona, Spain
| | | | - Lidia Daimiel
- Nutritional Control of the Epigenome Group, Precision Nutrition and Obesity Program, IMDEA Food, CEI UAM + CSIC, 28049 Madrid, Spain
| | - Emilio Ros
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; Lipid Clinic, Department of Endocrinology and Nutrition, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clínic, 08036 Barcelona, Spain
| | - Estefanía Toledo
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; University of Navarra, Department of Preventive Medicine and Public Health, IDISNA, 31008 Pamplona, Spain
| | - Josep M Manzanares
- Universitat Rovira i Virgili, Biochemistry and Biotechnology Department, Human Nutrition Unit, IISPV, Hospital Universitari de Sant Joan, 43201 Reus, Spain; Unidad de Nutrición, Lípidos y Endocrinologia, Hospital Universitari de Sant Joan de Reus, Institut d'Insvestigacions Sanitàries Pere Virgili (IISPV), 43201 Reus, Spain
| | | | - Miguel-Ángel Muñoz
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d'Investigació Mèdica (IMIM), 08003 Barcelona, Spain
| | - Diego Martinez-Urbistondo
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; Cardiometabolics Precision Nutrition Program, IMDEA Food, CEI UAM + CSIC, 28049 Madrid, Spain; Internal Medicine Department, HM Sanchinarro, 28050 Madrid, Spain
| | - Lucas Tojal-Sierra
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; Bioaraba Health Research Institute, Osakidetza Basque Health Service, Araba University Hospital, University of the Basque Country UPV/EHU, 48013 Vitoria, Gasteiz, Spain
| | - Carlos Muñoz-Bravo
- Division of Preventive Medicine and Public Health, University of Malaga, Institute of Biomedical Research in Málaga (IBIMA-University of Malaga), Málaga, Spain
| | | | - Marian Martin
- Health Research Institute of the Balearic Islands (IdISBa), 07120 Palma de Mallorca, Spain
| | - Antonio García-Ríos
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; Lipids and Atherosclerosis Unit, Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, 14004 Córdoba, Spain
| | - Sara Castro-Barquero
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; Department of Internal Medicine, IDIBAPS, Hospital Clinic, University of Barcelona, 08036 Barcelona, Spain
| | - José Carlos Fernández-García
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; Virgen de la Victoria Hospital, Department of Endocrinology, University of Málaga, 29010 Málaga, Spain
| | - José Manuel Santos-Lozano
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; Department of Family Medicine, Research Unit, Distrito Sanitario Atención Primaria Sevilla, 41013 Sevilla, Spain
| | - F Javier Basterra-Gortari
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; University of Navarra, Department of Preventive Medicine and Public Health, IDISNA, 31008 Pamplona, Spain
| | - Liliana Gutiérrez-Carrasquilla
- Universitat Rovira i Virgili, Biochemistry and Biotechnology Department, Human Nutrition Unit, IISPV, Hospital Universitari de Sant Joan, 43201 Reus, Spain; Unidad de Nutrición, Lípidos y Endocrinologia, Hospital Universitari de Sant Joan de Reus, Institut d'Insvestigacions Sanitàries Pere Virgili (IISPV), 43201 Reus, Spain
| | - Patricia Guillem-Saiz
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; Department of Preventive Medicine, University of Valencia, 46100 Valencia, Spain
| | - Alba Satorres
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d'Investigació Mèdica (IMIM), 08003 Barcelona, Spain
| | - Itziar Abete
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; Department of Nutrition, Food Sciences, and Physiology, Center for Nutrition Research, University of Navarra, 31008 Pamplona, Spain
| | - Carolina Sorto-Sanchez
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; Bioaraba Health Research Institute, Osakidetza Basque Health Service, Araba University Hospital, University of the Basque Country UPV/EHU, 48013 Vitoria, Gasteiz, Spain
| | - Javier Díez-Espino
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; University of Navarra, Department of Preventive Medicine and Public Health, IDISNA, 31008 Pamplona, Spain
| | - Nancy Babio
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; Universitat Rovira i Virgili, Biochemistry and Biotechnology Department, Human Nutrition Unit, IISPV, Hospital Universitari de Sant Joan, 43201 Reus, Spain
| | - Montse Fitó
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d'Investigació Mèdica (IMIM), 08003 Barcelona, Spain
| | - Josep A Tur
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; Research Group on Community Nutrition & Oxidative Stress, University of Balearic Islands-IUNICS, 07122 Palma de Mallorca, Spain; Health Research Institute of the Balearic Islands (IdISBa), 07120 Palma de Mallorca, Spain.
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Coffee Consumption and the Risk of Metabolic Syndrome in the ‘Seguimiento Universidad de Navarra’ Project. Antioxidants (Basel) 2023; 12:antiox12030686. [PMID: 36978934 PMCID: PMC10044807 DOI: 10.3390/antiox12030686] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Revised: 02/27/2023] [Accepted: 03/06/2023] [Indexed: 03/14/2023] Open
Abstract
(1) Background: Metabolic Syndrome (MetS) affects over a third of the United States population, and has similar prevalence in Europe. Dietary approaches to prevention are important. Coffee consumption has been inversely associated with mortality and chronic disease; however, its relation to the risk of MetS is unclear. We aimed to investigate the association between coffee consumption and incident MetS in the ‘Seguimiento Universidad de Navarra’ cohort. (2) Methods: From the SUN project, we included 10,253 participants initially free of MetS. Coffee consumption was assessed at baseline, and the development of MetS was assessed after 6 years of follow-up. All data were self-reported by participants. MetS was defined according to the Harmonizing Definition. We used multivariable logistic regression models to estimate odds ratios and 95% confidence intervals for incident MetS according to four categories of coffee consumption: <1 cup/month; ≥1 cup/month to <1 cup/day; ≥1 cup/day to <4 cups/day; ≥4 cups/day. (3) Results: 398 participants developed MetS. Coffee consumption of ≥1 to <4 cups/day was associated with significantly lower odds of developing MetS (multivariable adjusted OR = 0.71, 95% CI (0.50–0.99)) as compared to consumption of <1 cup/month. (4) Conclusions: In a Mediterranean cohort, moderate coffee consumption may be associated with a lower risk of MetS.
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Garcia-Unciti M, Palacios Samper N, Méndez-Sandoval S, Idoate F, Ibáñez-Santos J. Effect of Combining Impact-Aerobic and Strength Exercise, and Dietary Habits on Body Composition in Breast Cancer Survivors Treated with Aromatase Inhibitors. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:4872. [PMID: 36981785 PMCID: PMC10049091 DOI: 10.3390/ijerph20064872] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/09/2023] [Revised: 03/06/2023] [Accepted: 03/08/2023] [Indexed: 06/18/2023]
Abstract
This study examines both the effect of a twice-weekly combined exercise-1 h session of strength and 1 h session of impact-aerobic-on body composition and dietary habits after one year of treatment with aromatase inhibitors (AI) in breast cancer survivors. Overall, forty-three postmenopausal women with a BMI ≤ 35 kg/m2, breast cancer survivors treated with AI, were randomized into two groups: a control group (CG) (n = 22) and a training group (IG) (n = 21). Body composition, i.e., abdominal, visceral, and subcutaneous adipose tissue) was measured by magnetic resonance. In addition, some questionnaires were used to gather dietary data and to measure adherence to the Mediterranean diet. After one year, women in the IG showed a significant improvement in body composition, indicated by decreases in subcutaneous and visceral adipose tissue, and total fat tissue. Furthermore, the dietary habits were compatible with moderate adherence to the Mediterranean diet pattern and a low dietary intake of Ca, Zn, Folic Ac, and vitamins D, A, and E. A twice-weekly training program combining impact aerobic exercise and resistance exercise may be effective in improving the body composition for postmenopausal women who have breast cancer treated with AI, and the results suggest the need for nutritional counselling for this population.
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Affiliation(s)
- Marisol Garcia-Unciti
- Department of Nutrition, Food Sciences and Physiology, Faculty of Pharmacy and Nutrition, University of Navarra, Campus Universitario, 31008 Pamplona, Spain
- Center for Nutrition Research, University of Navarra, c/Irunlarrea 1, 31008 Pamplona, Spain
- Navarra Institute for Health Research (IdiSNA), 31008 Pamplona, Spain
| | - Natalia Palacios Samper
- Centro de Estudios, Investigación y Medicina del Deporte (CEIMD), Gobierno de Navarra, 31005 Pamplona, Spain
- Department of Gerontology and Public Health, Faculty of Health Science, University of Jyväskylä, Seminaarinkatu 15, Jyväskylän Yliopisto, 40014 Jyväskylä, Finland
- Department of Physiology, Faculty of Health Science, Public University of Navarre, Av. Cataluña, s/n, 31006 Pamplona, Spain
| | - Sofía Méndez-Sandoval
- Department of Nutrition, Food Sciences and Physiology, Faculty of Pharmacy and Nutrition, University of Navarra, Campus Universitario, 31008 Pamplona, Spain
| | - Fernando Idoate
- Servicio de Radiología de la Mutua Navarra, 31012 Pamplona, Spain;
| | - Javier Ibáñez-Santos
- Centro de Estudios, Investigación y Medicina del Deporte (CEIMD), Gobierno de Navarra, 31005 Pamplona, Spain
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Water intake, hydration status and 2-year changes in cognitive performance: a prospective cohort study. BMC Med 2023; 21:82. [PMID: 36882739 PMCID: PMC9993798 DOI: 10.1186/s12916-023-02771-4] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/02/2022] [Accepted: 02/06/2023] [Indexed: 03/09/2023] Open
Abstract
BACKGROUND Water intake and hydration status have been suggested to impact cognition; however, longitudinal evidence is limited and often inconsistent. This study aimed to longitudinally assess the association between hydration status and water intake based on current recommendations, with changes in cognition in an older Spanish population at high cardiovascular disease risk. METHODS A prospective analysis was conducted of a cohort of 1957 adults (aged 55-75) with overweight/obesity (BMI between ≥ 27 and < 40 kg/m2) and metabolic syndrome from the PREDIMED-Plus study. Participants had completed bloodwork and validated, semiquantitative beverage and food frequency questionnaires at baseline, as well as an extensive neuropsychological battery of 8 validated tests at baseline and 2 years of follow-up. Hydration status was determined by serum osmolarity calculation and categorized as < 295 mmol/L (hydrated), 295-299.9 mmol/L (impending dehydration), and ≥ 300 mmol/L (dehydrated). Water intake was assessed as total drinking water intake and total water intake from food and beverages and according to EFSA recommendations. Global cognitive function was determined as a composite z-score summarizing individual participant results from all neuropsychological tests. Multivariable linear regression models were fitted to assess the associations between baseline hydration status and fluid intake, continuously and categorically, with 2-year changes in cognitive performance. RESULTS The mean baseline daily total water intake was 2871 ± 676 mL/day (2889 ± 677 mL/day in men; 2854 ± 674 mL/day in women), and 80.2% of participants met the ESFA reference values for an adequate intake. Serum osmolarity (mean 298 ± 24 mmol/L, range 263 to 347 mmol/L) indicated that 56% of participants were physiologically dehydrated. Lower physiological hydration status (i.e., greater serum osmolarity) was associated with a greater decline in global cognitive function z-score over a 2-year period (β: - 0.010; 95% CI - 0.017 to - 0.004, p-value = 0.002). No significant associations were observed between water intake from beverages and/or foods with 2-year changes in global cognitive function. CONCLUSIONS Reduced physiological hydration status was associated with greater reductions in global cognitive function over a 2-year period in older adults with metabolic syndrome and overweight or obesity. Future research assessing the impact of hydration on cognitive performance over a longer duration is needed. TRIAL REGISTRATION International Standard Randomized Controlled Trial Registry, ISRCTN89898870. Retrospectively registered on 24 July 2014.
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The association between meat consumption and muscle strength index in young adults: the mediating role of total protein intake and lean mass percentage. Eur J Nutr 2023; 62:673-683. [PMID: 36184663 DOI: 10.1007/s00394-022-03014-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2022] [Accepted: 09/22/2022] [Indexed: 11/04/2022]
Abstract
PURPOSE The aim of this study was to analyse the associations between the consumption of different types of meat and the muscle strength index (MSI) and to examine whether this relationship is mediated by total protein intake (TPI) and lean mass percentage (LM%) in young adults. METHODS We conducted a cross-sectional study with first-year university students from Castilla-La Mancha, Spain. Different types of meat consumption (total, red, processed, and white and fish) were separately evaluated using a Food-Frequency Questionnaire. MSI was determined from the handgrip and standing long jump tests. ANCOVA models were used to test the mean differences in MSI by categories of meat consumption. Serial multiple mediation models were used to explore the mediating role of TPI and LM% in the relationship between meat consumption and MSI. All analyses were adjusted for age, sex, and socioeconomic level, identified through a directed acyclic graph. Additional analyses were performed with a small subsample including alcohol intake, tobacco smoking, physical activity, cardiorespiratory fitness, and total energy intake as covariates in the multiple mediation models. RESULTS A total of 230 students (mean age 21.1 ± 2.1 years, 66.5% women) were included in the analysis. Young adults with higher meat consumption (total, red, and white and fish) had higher MSI adjusted means than their peers with lower meat consumption (p < 0.05). These associations did not remain after controlling for TPI and LM%. In adjusted mediation analyses, a significant indirect effect was observed through TPI and LM% in the associations between each of the types of meat consumption and MSI. In the additional analyses, a greater effect of white and fish meat consumption on muscle strength through mediation of TPI and LM% was reported compared to red or processed meat consumption, and no significant effects were observed between processed meat consumption and MSI. CONCLUSION Higher consumption of total, red, and white and fish meat was associated with increased MSI in young adults. TPI and LM% mediated this relationship.
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Domínguez-López I, Arancibia-Riveros C, Marhuenda-Muñoz M, Tresserra-Rimbau A, Toledo E, Fitó M, Ros E, Estruch R, Lamuela-Raventós RM. Association of microbiota polyphenols with cardiovascular health in the context of a Mediterranean diet. Food Res Int 2023; 165:112499. [PMID: 36869451 DOI: 10.1016/j.foodres.2023.112499] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2022] [Revised: 01/04/2023] [Accepted: 01/20/2023] [Indexed: 01/25/2023]
Abstract
BACKGROUND AND AIMS The Mediterranean diet (MedDiet) is rich in polyphenols, phytochemicals that are beneficial for cardiovascular health. Phenolic compounds have poor bioavailability but they are extensively metabolized by the gut microbiota. Therefore, we aimed to assess the association of microbial phenolic metabolites (MPM) with adherence to the MedDiet, and their relationship with ideal cardiovascular health (ICVH) and cardiovascular risk factors. METHODS AND RESULTS This cross-sectional substudy within the PREDIMED trial included 200 participants from the Barcelona-Clinic recruitment center. Five MPM were identified and quantified using a novel method based on liquid chromatography coupled to mass spectrometry: protocatechuic acid (PCA), enterodiol glucuronide (EDG), enterolactone glucuronide (ELG), vanillic acid glucuronide (VAG) and urolithin B glucuronide (UBG). Multivariable-adjusted regressions were used to evaluate the associations between MPM and MedDiet adherence, ICVH score, biochemical parameters, and blood pressure. Additionally, an MPM score was calculated as the weighted sum of MedDiet adherence and ICVH and found to be directly associated. Among individual polyphenols, UBG was inversely associated with LDL-cholesterol. CONCLUSIONS A score of urinary MPM was associated with higher adherence to the MedDiet and ICVH, and individual MPM were related to better cardiovascular health. These findings suggest that the MedDiet may affect gut microbiota, whose metabolites are linked with cardiovascular health.
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Affiliation(s)
- Inés Domínguez-López
- Departament de Nutrició, Ciències de l'Alimentació i Gastronomia, Universitat de Barcelona (UB), Av. de Joan XXII, 27-31, 08028 Barcelona, Spain; Institut de Nutrició i Seguretat Alimentària (INSA), Universitat de Barcelona (UB), Santa Coloma de Gramanet, Spain; CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, 28029 Madrid, Spain
| | - Camila Arancibia-Riveros
- Departament de Nutrició, Ciències de l'Alimentació i Gastronomia, Universitat de Barcelona (UB), Av. de Joan XXII, 27-31, 08028 Barcelona, Spain; Institut de Nutrició i Seguretat Alimentària (INSA), Universitat de Barcelona (UB), Santa Coloma de Gramanet, Spain
| | - María Marhuenda-Muñoz
- Departament de Nutrició, Ciències de l'Alimentació i Gastronomia, Universitat de Barcelona (UB), Av. de Joan XXII, 27-31, 08028 Barcelona, Spain; Institut de Nutrició i Seguretat Alimentària (INSA), Universitat de Barcelona (UB), Santa Coloma de Gramanet, Spain; CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, 28029 Madrid, Spain
| | - Anna Tresserra-Rimbau
- Departament de Nutrició, Ciències de l'Alimentació i Gastronomia, Universitat de Barcelona (UB), Av. de Joan XXII, 27-31, 08028 Barcelona, Spain; Institut de Nutrició i Seguretat Alimentària (INSA), Universitat de Barcelona (UB), Santa Coloma de Gramanet, Spain; CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, 28029 Madrid, Spain
| | - Estefanía Toledo
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, 28029 Madrid, Spain; Department of Preventive Medicine and Public Health, University of Navarra, IdiSNA, 31008 Pamplona, Spain
| | - Montserrat Fitó
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, 28029 Madrid, Spain; Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas (IMIM), 08007 Barcelona, Spain
| | - Emilio Ros
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, 28029 Madrid, Spain; Department of Endocrinology, Hospital Clinic, IDIBAPS, Barcelona, Spain
| | - Ramon Estruch
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, 28029 Madrid, Spain; Department of Internal Medicine, Hospital Clinic, Institut d'Investigació Biomèdica August Pi i Sunyer (IDIBAPS), University of Barcelona, Barcelona, Spain
| | - Rosa M Lamuela-Raventós
- Departament de Nutrició, Ciències de l'Alimentació i Gastronomia, Universitat de Barcelona (UB), Av. de Joan XXII, 27-31, 08028 Barcelona, Spain; Institut de Nutrició i Seguretat Alimentària (INSA), Universitat de Barcelona (UB), Santa Coloma de Gramanet, Spain; CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, 28029 Madrid, Spain.
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Razquin C, Ruiz-Canela M, Wernitz A, Toledo E, Corella D, Alonso-Gómez Á, Fitó M, Gómez-Gracia E, Estruch R, Fiol M, Lapetra J, Serra-Majem L, Ros E, Arós F, Salas-Salvadó J, Schulze MB, Martinez-Gonzalez MA. Effects of Supplemented Mediterranean Diets on Plasma-Phospholipid Fatty Acid Profiles and Risk of Cardiovascular Disease after 1 Year of Intervention in the PREDIMED Trial. Clin Chem 2023; 69:283-294. [PMID: 36683466 DOI: 10.1093/clinchem/hvac221] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2022] [Accepted: 11/09/2022] [Indexed: 01/24/2023]
Abstract
BACKGROUND Plasma fatty acids (FAs) have been associated with cardiovascular disease (CVD) risk. Diet and endogenous metabolism influence the FA profile of the plasma phospholipid (PL) fraction. In the PREDIMED trial, we examined 1-year changes in the FA profile of plasma PL according to a nutritional intervention with Mediterranean diets, either supplemented with extra-virgin olive oil (MedDiet + EVOO) or mixed nuts (MedDiet + nuts), in a high cardiovascular risk population. We also analyzed if 1-year changes in PL FAs were associated with subsequent cardiovascular risk. METHODS We included 779 participants in our case-cohort study: 185 incident cases and 594 participants in the subcohort (including 31 overlapping cases). The end point was the incidence of CVD. We measured the FAs of plasma PL at baseline and after 1 year of intervention. RESULTS MedDiet + EVOO increased C17:0 and C20:3n9 in linear regression models [β coefficientperSD : 0.215 (95% CI, 0.032-0.399) and 0.271 (0.107-0.434), respectively] and decreased 16:1n7 and C22:4n6 [βperSD: -0.239 (95% CI, -0.416 to -0.061) and -0.287 (95% CI, -0.460 to -0.113), respectively] vs the control group. MedDiet + nuts increased C18:3n3 [βperSD: 0.382 (95% CI, 0.225 - 0.539)], C18:2n6 [βper SD: 0.250 (95% CI, 0.073 - 0.428)], C18:0 [βperSD: 0.268 (95% CI, 0.085-0.452)], and C22:0 [βper SD: 0.216 (95% CI, 0.031-0.402)]; and decreased the sum of six n6 FAs [βper SD: -0.147 (95% CI, -0.268 to -0.027)] vs the control group. The 1-year increase in C18:2n6 was inversely associated with the subsequent CVD risk (HRperSD: 0.64 (95% CI, 0.44-0.92)). CONCLUSIONS MedDiet interventions changed n6 FAs and C16:1n7c; other changes were specific for each group: MedDiet + EVOO increased C17:0 and C20:3n9, and MedDiet + Nuts C18:3n3, C18:2n6, C18:0, and C22:0 FAs.
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Affiliation(s)
- Cristina Razquin
- Department of Preventive Medicine and Public Health, University of Navarra, IdiSNA, Pamplona, Spain
- Centro de Investigación Biomédica En Red (CIBER), M.P. Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
| | - Miguel Ruiz-Canela
- Department of Preventive Medicine and Public Health, University of Navarra, IdiSNA, Pamplona, Spain
- Centro de Investigación Biomédica En Red (CIBER), M.P. Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
| | - Andreas Wernitz
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
| | - Estefania Toledo
- Department of Preventive Medicine and Public Health, University of Navarra, IdiSNA, Pamplona, Spain
- Centro de Investigación Biomédica En Red (CIBER), M.P. Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
| | - Dolores Corella
- Centro de Investigación Biomédica En Red (CIBER), M.P. Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Department of Preventive Medicine, Universidad de Valencia, Valencia, Spain
| | - Ángel Alonso-Gómez
- Centro de Investigación Biomédica En Red (CIBER), M.P. Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Department of Cardiology, Hospital Universitario de Álava, Vitoria, Spain
| | - Montse Fitó
- Centro de Investigación Biomédica En Red (CIBER), M.P. Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Unit of Cardiovascular Risk and Nutrition, Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain
| | - Enrique Gómez-Gracia
- Centro de Investigación Biomédica En Red (CIBER), M.P. Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Department of Endocrinology, Virgen de la Victoria Hospital, Biomedical Research Institute of Málaga, University of Málaga, Málaga, Spain
| | - Ramón Estruch
- Centro de Investigación Biomédica En Red (CIBER), M.P. Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Department of Internal Medicine, Hospital Clinic, Institut d'Investigacions Biomèdiques Augist Pi i Sunyer (IDIBAPS), University of Barcelona, Barcelona, Spain
| | - Miquel Fiol
- Centro de Investigación Biomédica En Red (CIBER), M.P. Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Health Research Institute of the Balearic Islands (IdISBa), Hospital Son Espases, Palma de Mallorca, Spain
| | - José Lapetra
- Centro de Investigación Biomédica En Red (CIBER), M.P. Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Department of Family Medicine-Research Unit, Distrito Sanitario Atención Primaria Sevilla, Sevilla, Spain
| | - Lluis Serra-Majem
- Centro de Investigación Biomédica En Red (CIBER), M.P. Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Instituto de Investigaciones Biomédicas y Sanitarias, Universidad de Las Palmas de Gran Canaria, Las Palmas, Spain
| | - Emilio Ros
- Centro de Investigación Biomédica En Red (CIBER), M.P. Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Lipid Clinic, Department of Endocrinology and Nutrition, Agust Pi i Sunyer Biomedical Research Institute (IDIBAPS), Hospital Clínic, University of Barcelona, Barcelona, Spain
| | - Fernando Arós
- Centro de Investigación Biomédica En Red (CIBER), M.P. Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Department of Cardiology, Hospital Universitario de Álava, Vitoria, Spain
| | - Jordi Salas-Salvadó
- Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
- Centro de Investigación Biomédica En Red (CIBER), M.P. Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Unitat de Nutrició Humana, Departament de Bioquimica i Biotecnologia, Universitat Rovira i Virgili, Reus, Spain
| | - Matthias B Schulze
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
- Unit of Cardiovascular Risk and Nutrition, German Center for Diabetes Research (DZD), Neuherberg, Germany
- Institute of Nutritional Science, University of Potsdam, Potsdam, Germany
| | - Miguel A Martinez-Gonzalez
- Department of Preventive Medicine and Public Health, University of Navarra, IdiSNA, Pamplona, Spain
- Centro de Investigación Biomédica En Red (CIBER), M.P. Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Department of Nutrition, Harvard TH Chan School of Public Health, Boston, USA
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Perez-Araluce R, Bes-Rastrollo M, Martínez-González MÁ, Toledo E, Ruiz-Canela M, Barbería-Latasa M, Gea A. Effect of Binge-Drinking on Quality of Life in the 'Seguimiento Universidad de Navarra' (SUN) Cohort. Nutrients 2023; 15:nu15051072. [PMID: 36904072 PMCID: PMC10004732 DOI: 10.3390/nu15051072] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2023] [Revised: 02/09/2023] [Accepted: 02/14/2023] [Indexed: 02/25/2023] Open
Abstract
BACKGROUND Binge-drinking is one of the alcohol drinking patterns with the worst health consequences. Nonetheless, binge-drinking is highly prevalent. The perceived benefits that motivate it are ultimately related to subjective well-being. In this context, we analyzed the relationship between binge-drinking and quality of life. METHODS We evaluated 8992 participants of the SUN cohort. We classified as binge-drinkers those who reported consuming six or more drinks on at least one occasion the year before recruitment (n = 3075). We fitted multivariable logistic regression models to calculate the odds ratios (ORs) of a worse physical and mental quality of life, measured with the validated SF-36 questionnaire at 8 years of follow-up (cut-off point = P75 or highest score). RESULTS Binge-drinking was associated with greater odds of having a worse mental quality of life, even adjusting for quality of life at 4 years of follow-up, used as an approximation to a baseline measure (OR = 1.22 (1.07-1.38)). This value was mainly due to the effects on vitality (OR = 1.17 (1.01-1.34)) and mental health (OR = 1.22 (1.07-1.39)). CONCLUSIONS Binge-drinking may lead to poorer mental quality of life; therefore, binge-drinking for enhancement purposes does not seem to be justified by this effect.
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Affiliation(s)
- Rafael Perez-Araluce
- Department of Preventive Medicine and Public Health, University of Navarra, 31008 Pamplona, Spain
- Instituto de Investigación Sanitaria de Navarra (IdiSNA), Navarra Institute for Health Research, 31008 Pamplona, Spain
| | - Maira Bes-Rastrollo
- Department of Preventive Medicine and Public Health, University of Navarra, 31008 Pamplona, Spain
- Instituto de Investigación Sanitaria de Navarra (IdiSNA), Navarra Institute for Health Research, 31008 Pamplona, Spain
- Biomedical Research Network Center for Pathophysiology of Obesity and Nutrition (CIBEROBN), Carlos III Health Institute, 28029 Madrid, Spain
- Correspondence:
| | - Miguel Ángel Martínez-González
- Department of Preventive Medicine and Public Health, University of Navarra, 31008 Pamplona, Spain
- Instituto de Investigación Sanitaria de Navarra (IdiSNA), Navarra Institute for Health Research, 31008 Pamplona, Spain
- Biomedical Research Network Center for Pathophysiology of Obesity and Nutrition (CIBEROBN), Carlos III Health Institute, 28029 Madrid, Spain
| | - Estefanía Toledo
- Department of Preventive Medicine and Public Health, University of Navarra, 31008 Pamplona, Spain
- Instituto de Investigación Sanitaria de Navarra (IdiSNA), Navarra Institute for Health Research, 31008 Pamplona, Spain
- Biomedical Research Network Center for Pathophysiology of Obesity and Nutrition (CIBEROBN), Carlos III Health Institute, 28029 Madrid, Spain
| | - Miguel Ruiz-Canela
- Department of Preventive Medicine and Public Health, University of Navarra, 31008 Pamplona, Spain
- Instituto de Investigación Sanitaria de Navarra (IdiSNA), Navarra Institute for Health Research, 31008 Pamplona, Spain
- Biomedical Research Network Center for Pathophysiology of Obesity and Nutrition (CIBEROBN), Carlos III Health Institute, 28029 Madrid, Spain
| | - María Barbería-Latasa
- Department of Preventive Medicine and Public Health, University of Navarra, 31008 Pamplona, Spain
- Instituto de Investigación Sanitaria de Navarra (IdiSNA), Navarra Institute for Health Research, 31008 Pamplona, Spain
| | - Alfredo Gea
- Department of Preventive Medicine and Public Health, University of Navarra, 31008 Pamplona, Spain
- Instituto de Investigación Sanitaria de Navarra (IdiSNA), Navarra Institute for Health Research, 31008 Pamplona, Spain
- Biomedical Research Network Center for Pathophysiology of Obesity and Nutrition (CIBEROBN), Carlos III Health Institute, 28029 Madrid, Spain
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Vázquez-Ruiz Z, Martínez-González MÁ, Vitelli-Storelli F, Bes-Rastrollo M, Basterra-Gortari FJ, Toledo E. Effect of Dietary Phenolic Compounds on Incidence of Type 2 Diabetes in the "Seguimiento Universidad de Navarra" (SUN) Cohort. Antioxidants (Basel) 2023; 12:antiox12020507. [PMID: 36830064 PMCID: PMC9952475 DOI: 10.3390/antiox12020507] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2023] [Revised: 02/13/2023] [Accepted: 02/15/2023] [Indexed: 02/19/2023] Open
Abstract
The global incidence of type 2 diabetes (T2D) has been steadily increasing in recent decades. The Mediterranean dietary pattern has shown a preventive effect on the risk of T2D. Evaluating the association between bioactive compounds such as phenolic compounds (PC) in a Mediterranean cohort could help to better understand the mechanisms implicated in this protection. We evaluated the association between dietary intake of PC and the risk of T2D in a relatively young cohort of 17,821 Spanish participants initially free of T2D, through the University of Navarra Follow-up Project ("Seguimiento Universidad de Navarra" or SUN cohort) after 10 years of median follow-up using time-dependent Cox models. Intake of PC was estimated at baseline and repeatedly at 10-year follow-up using a 136-item validated food frequency and the Phenol-Explorer database. The incidence of T2D was identified by a biennial follow-up, and only medically confirmed cases were included. During 224,751 person-years of follow-up, 186 cases of T2D were confirmed. A suboptimal intake of stilbenes was independently associated with a higher risk of T2D in subjects over 50 years (HR: 1.75, 95% CI: 1.06-2.90, p value < 0.05) after adjusting for potential confounders. Our results suggest that a moderate-high intake of stilbenes can decrease the risk of developing T2D in subjects over 50 years in our cohort.
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Affiliation(s)
- Zenaida Vázquez-Ruiz
- Department of Preventive Medicine and Public Health, Instituto de Investigación Sanitaria de Navarra (IdiSNA), University of Navarra, 31008 Pamplona, Spain
- Biomedical Research Network Centre for Pathophysiology of Obesity and Nutrition (CIBEROBN), Carlos III Health Institute, 28029 Madrid, Spain
| | - Miguel Ángel Martínez-González
- Department of Preventive Medicine and Public Health, Instituto de Investigación Sanitaria de Navarra (IdiSNA), University of Navarra, 31008 Pamplona, Spain
- Biomedical Research Network Centre for Pathophysiology of Obesity and Nutrition (CIBEROBN), Carlos III Health Institute, 28029 Madrid, Spain
- Department of Nutrition, Harvard T. H. Chan School of Public Health, Harvard University, Boston, MA 02115, USA
| | - Facundo Vitelli-Storelli
- Grupo de Investigación en Interacciones Gen-Ambiente y Salud (GIIGAS), Instituto de Biomedicina (IBIOMED), University of León, 24004 León, Spain
| | - Maira Bes-Rastrollo
- Department of Preventive Medicine and Public Health, Instituto de Investigación Sanitaria de Navarra (IdiSNA), University of Navarra, 31008 Pamplona, Spain
- Biomedical Research Network Centre for Pathophysiology of Obesity and Nutrition (CIBEROBN), Carlos III Health Institute, 28029 Madrid, Spain
| | - Francisco Javier Basterra-Gortari
- Department of Preventive Medicine and Public Health, Instituto de Investigación Sanitaria de Navarra (IdiSNA), University of Navarra, 31008 Pamplona, Spain
- Department of Endocrinology and Nutrition, Instituto de Investigación Sanitaria de Navarra (IdiSNA), Hospital Universitario de Navarra, 31008 Pamplona, Spain
| | - Estefanía Toledo
- Department of Preventive Medicine and Public Health, Instituto de Investigación Sanitaria de Navarra (IdiSNA), University of Navarra, 31008 Pamplona, Spain
- Biomedical Research Network Centre for Pathophysiology of Obesity and Nutrition (CIBEROBN), Carlos III Health Institute, 28029 Madrid, Spain
- Correspondence:
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Talavera-Rodriguez I, Fernandez-Lazaro CI, Hernández-Ruiz Á, Hershey MS, Galarregui C, Sotos-Prieto M, de la Fuente-Arrillaga C, Martínez-González MÁ, Ruiz-Canela M. Association between an oxidative balance score and mortality: a prospective analysis in the SUN cohort. Eur J Nutr 2023; 62:1667-1680. [PMID: 36781422 DOI: 10.1007/s00394-023-03099-8] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2022] [Accepted: 01/20/2023] [Indexed: 02/15/2023]
Abstract
PURPOSE We aimed to prospectively investigate the association of an overall oxidative balance score (OBS) with all-cause death and cause-specific mortality among participants in the Seguimiento Universidad de Navarra (SUN) Study, a Mediterranean cohort of Spanish graduates. METHODS Using baseline information on 12 a priori selected dietary and non-dietary lifestyle pro- and antioxidants exposures-vitamins C and E, β-carotenes, selenium, zinc, heme iron, polyphenols, total antioxidant capacity, body mass index, alcohol, smoking, and physical activity-we constructed an equally weighted OBS categorized into quartiles, with higher scores representing greater antioxidant balance. Cox proportional hazards models were fitted to evaluate the association between the OBS and mortality. RESULTS A total of 18,561 participants (mean [SD] age, 38.5 [12.4] years; 40.8% males) were included in the analysis. During a median follow-up of 12.2 years (interquartile range 8.3-14.9), 421 deaths were identified, including 80 deaths from cardiovascular disease (CVD), 215 from cancer, and 126 from other causes. After adjustment for potential confounders, the hazard ratios and 95% confidence interval (CIs) between the highest quartile (predominance of antioxidants) vs. the lowest quartile (reference category) were 0.35 (95% CI 0.22-0.54, P-trend < 0.001) for all-cause mortality, 0.18 (95% CI 0.06-0.51, P-trend = 0.001) for CVD mortality, 0.35 (95% CI 0.19-0.65, P-trend = 0.002) for cancer mortality, and 0.45 (95% CI 0.20-1.02, P-trend = 0.054) for other-cause mortality. CONCLUSION Our findings suggest a strong inverse association between the OBS and all-cause, CVD, and cancer mortality. Individuals exposed to both antioxidant dietary and lifestyle factors may potentially experience the lowest mortality risk. STUDY REGISTRY NUMBER Dynamic Mediterranean Prospective Cohort: the SUN Project; NCT02669602. https://clinicaltrials.gov/ct2/show/NCT02669602 . https://proyectosun.es.
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Affiliation(s)
- Irene Talavera-Rodriguez
- Department of Preventive Medicine and Public Health, School of Medicine, University of Navarra, C/ Irunlarrea, 31008, Pamplona, Spain
| | - Cesar I Fernandez-Lazaro
- Department of Preventive Medicine and Public Health, School of Medicine, University of Navarra, C/ Irunlarrea, 31008, Pamplona, Spain.,IdisNA, Navarra Institute for Health Research, 31008, Pamplona, Spain
| | | | - Maria S Hershey
- Department of Preventive Medicine and Public Health, School of Medicine, University of Navarra, C/ Irunlarrea, 31008, Pamplona, Spain.,IdisNA, Navarra Institute for Health Research, 31008, Pamplona, Spain.,Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, 02115, USA
| | - Cristina Galarregui
- Department of Nutrition, Food Sciences and Physiology and Centre for Nutrition Research, Faculty of Pharmacy and Nutrition, University of Navarra, 31008, Pamplona, Spain
| | - Mercedes Sotos-Prieto
- Department of Preventive Medicine and Public Health, School of Medicine, Universidad Autónoma de Madrid, 28029, Madrid, Spain.,CIBER of Epidemiology and Public Health (CIBERESP), Carlos III Health Institute, 28029, Madrid, Spain.,Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, 02115, USA.,IMDEA-Food Institute. CEI UAM+CSIC, Ctra. de Canto Blanco 8, E. 28049, Madrid, Spain
| | - Carmen de la Fuente-Arrillaga
- Department of Preventive Medicine and Public Health, School of Medicine, University of Navarra, C/ Irunlarrea, 31008, Pamplona, Spain.,IdisNA, Navarra Institute for Health Research, 31008, Pamplona, Spain.,CIBER of Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Health Institute, 28029, Madrid, Spain
| | - Miguel Ángel Martínez-González
- Department of Preventive Medicine and Public Health, School of Medicine, University of Navarra, C/ Irunlarrea, 31008, Pamplona, Spain.,IdisNA, Navarra Institute for Health Research, 31008, Pamplona, Spain.,CIBER of Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Health Institute, 28029, Madrid, Spain.,Department of Nutrition, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, 02115, USA
| | - Miguel Ruiz-Canela
- Department of Preventive Medicine and Public Health, School of Medicine, University of Navarra, C/ Irunlarrea, 31008, Pamplona, Spain. .,IdisNA, Navarra Institute for Health Research, 31008, Pamplona, Spain. .,CIBER of Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Health Institute, 28029, Madrid, Spain.
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87
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Castro-Barquero S, Casas R, Rimm EB, Tresserra-Rimbau A, Romaguera D, Martínez JA, Salas-Salvadó J, Martínez-González MA, Vidal J, Ruiz-Canela M, Konieczna J, Sacanella E, García-Gavilán JF, Fitó M, García-Arellano A, Estruch R. Loss of Visceral Fat is Associated with a Reduction in Inflammatory Status in Patients with Metabolic Syndrome. Mol Nutr Food Res 2023; 67:e2200264. [PMID: 36416291 DOI: 10.1002/mnfr.202200264] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
SCOPE Excessive visceral adipose tissue (VAT) is associated with higher secretion of pro-inflammatory molecules, contributing to systemic inflammation and obesity-related metabolic disturbances. METHODS AND RESULTS This prospective analysis includes 117 overweight/obese adults (55-75 years) from the PREDIMED-Plus study. Fourteen inflammatory markers and adipokines are measured using a Bio-Plex assay with multiplex technology: insulin, glucagon, IL-6, visfatin, ghrelin, GLP-1, TNF-α, MCP-1, PAI-1, resistin, C-peptide, leptin, adipsin, and adiponectin. Participants are categorized into tertiles according to changes in VAT after 1-year of follow-up, determined by dual-energy X-Ray absorptiometry. Participants allocate in tertile 3, which represent an increase of VAT content after 1-year of follow-up compared to tertile 1, show significant differences in insulin (T3 vs T1, fully adjusted model: p = 0.037, p for trend 0.042), PAI-1 (fully adjusted model: p = 0.05, p for trend 0.06), c-peptide (fully adjusted model: p = 0.037, p for trend 0.042), and TNF-α (fully adjusted model p = 0.037, p for trend 0.042). CONCLUSION The results evidence that a reduction in VAT is associated with clinical improvements in several inflammatory and adiposity markers, mainly in insulin, c-peptide, and PAI-1 levels, and these improvements may contribute to a reduction in cardiometabolic disturbances observe in obesity.
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Affiliation(s)
- Sara Castro-Barquero
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, 28029, Spain.,Department of Internal Medicine, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, Barcelona, 08036, Spain
| | - Rosa Casas
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, 28029, Spain.,Department of Internal Medicine, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, Barcelona, 08036, Spain
| | - Eric B Rimm
- Departments of Nutrition and Epidemiology, Harvard T.H. Chan School of Public Health, Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, 02115, USA
| | - Anna Tresserra-Rimbau
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, 28029, Spain.,Department of Nutrition, Food Science and Gastronomy, XaRTA, INSA, School of Pharmacy and Food Sciences, University of Barcelona, Barcelona, 08028, Spain
| | - Dora Romaguera
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, 28029, Spain.,Research Group on Nutritional Epidemiology & Cardiovascular Physiopathology (NUTRECOR), Health Research Institute of the Balearic Islands (IdISBa), Palma de Mallorca, 07120, Spain
| | - J Alfredo Martínez
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, 28029, Spain.,Department of Nutrition, Food Sciences, and Physiology, University of Navarra, Pamplona, 31009, Spain.,Nutritional Genomics and Epigenomics Group, IMDEA Food, CEI UAM + CSIC, Madrid, 28049, Spain
| | - Jordi Salas-Salvadó
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, 28029, Spain.,Departament de Bioquímica i Biotecnologia, Unitat de Nutrició, Universitat Rovira i Virgili, Reus, 43201, Spain.,University Hospital of Sant Joan de Reus, Nutrition Unit, Reus, 43204, Spain.,Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, 43204, Spain
| | - Miguel A Martínez-González
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, 28029, Spain.,Department of Preventive Medicine and Public Health, University of Navarra, IDISNA, Pamplona, 31008, Spain
| | - Josep Vidal
- CIBER Diabetes y Enfermedades Metabólicas (CIBERDEM), Instituto de Salud Carlos III (ISCIII), Madrid, 28029, Spain.,Department of Endocrinology, Institut d` Investigacions Biomédiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, Barcelona, 08036, Spain
| | - Miguel Ruiz-Canela
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, 28029, Spain.,Department of Preventive Medicine and Public Health, University of Navarra, IDISNA, Pamplona, 31008, Spain
| | - Jadwiga Konieczna
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, 28029, Spain.,Research Group on Nutritional Epidemiology & Cardiovascular Physiopathology (NUTRECOR), Health Research Institute of the Balearic Islands (IdISBa), Palma de Mallorca, 07120, Spain
| | - Emilio Sacanella
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, 28029, Spain.,Department of Internal Medicine, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, Barcelona, 08036, Spain
| | - Jesús Francisco García-Gavilán
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, 28029, Spain.,Departament de Bioquímica i Biotecnologia, Unitat de Nutrició, Universitat Rovira i Virgili, Reus, 43201, Spain.,University Hospital of Sant Joan de Reus, Nutrition Unit, Reus, 43204, Spain.,Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, 43204, Spain
| | - Montse Fitó
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, 28029, Spain.,Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d`Investigació Médica (IMIM), Barcelona, 08003, Spain
| | - Ana García-Arellano
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, 28029, Spain.,Department of Preventive Medicine and Public Health, University of Navarra, IDISNA, Pamplona, 31008, Spain.,Emergency Medicine, Osasunbidea, Navarra Regional Health Service, Pamplona, 31003, Spain
| | - Ramon Estruch
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, 28029, Spain.,Department of Internal Medicine, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, Barcelona, 08036, Spain
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88
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Bullón-Vela V, Xu Y, Razquin C, Abete I, Zulet MA, Martínez-González MA, Buil-Corsiales P, Vitelli-Storelli F, Martín Sánchez V, Vazquez-Ruíz Z, Sayón-Orea C, Domínguez-Fernández M, Cid C, Estruch R, Lamuela-Raventós RM, Fitó M, Blanchart G, Babio N, Salas-Salvadó J, Tinahones FJ, Tur JA, Romaguera D, Konieczna J, Pintó X, Daimiel L, Rodriguez-Mateos A, Martínez JA. Health associations of liver enzymes and inflammatory scores with urinary citrus flavonoid metabolites. Food Funct 2023; 14:1011-1023. [PMID: 36562455 PMCID: PMC9870039 DOI: 10.1039/d2fo02846h] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
Background: Dietary flavonoid intake is associated with a reduced risk of some cardiometabolic disorders, attributed in part to their claimed anti-inflammatory activity. Our aim was to investigate the potential association between specific urine flavonoid metabolites, liver enzymes, and inflammatory status in individuals with metabolic syndrome (MetS). Methods: In this cross-sectional study, clinical and dietary data from 267 participants, aged 55 to 75 years, participating in the PREDIMED Plus study (PREvención con DIeta MEDiterránea) were analyzed. At the baseline, spot urine samples were collected and seven urinary flavonoid metabolites were quantified using ultra-performance liquid chromatography coupled to triple quadrupole mass spectrometry (UPLC-Q-q-Q MS). Liver enzymes, inflammatory scores, and urinary flavonoid concentrations were inverse normally transformed. Results: Adjusted linear regression models showed an inverse association between urinary citrus flavanone concentrations and gamma-glutamyl transferase (GGT) (all p-values <0.05). Naringenin 7'-GlcUA was significantly associated with a lower aggregate index of systemic inflammation (AISI) (Bper 1SD = -0.14; 95% CI: -0.27 to -0.02; p-value = 0.025) and systemic inflammation index (SII) (Bper 1SD = -0.14; 95% CI: -0.27 to -0.02; p-value = 0.028). To investigate the relationship between flavanone subclasses and GGT levels, we fitted a score of citrus-flavanones, and subjects were stratified into quartiles. The highest values of the citrus-flavanone score (per 1-SD increase) were associated with lower GGT levels (Bper 1SD = -0.41; 95% CI: -0.74 to -0.07), exhibiting a linear trend across quartiles (p-trend = 0.015). Conclusion: This cross-sectional study showed that higher urinary excretion of citrus-flavanone metabolites was associated with lower GGT levels in subjects diagnosed with MetS and obesity.
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Affiliation(s)
- Vanessa Bullón-Vela
- Department of Preventive Medicine and Public Health, University of NavarraPamplonaSpain,Navarra Institute for Health Research (IdiSNA)PamplonaSpain,Department of Nutritional Sciences, School of Life Course and Population Sciences, Faculty of Life Sciences and Medicine, King's College LondonLondonUnited Kingdom
| | - Yifan Xu
- Department of Nutritional Sciences, School of Life Course and Population Sciences, Faculty of Life Sciences and Medicine, King's College LondonLondonUnited Kingdom
| | - Cristina Razquin
- Department of Preventive Medicine and Public Health, University of NavarraPamplonaSpain,Navarra Institute for Health Research (IdiSNA)PamplonaSpain,Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII)MadridSpain
| | - Itziar Abete
- Navarra Institute for Health Research (IdiSNA)PamplonaSpain,Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII)MadridSpain,Department of Nutrition, Food Science and Physiology, University of NavarraPamplonaSpain,Center for Nutrition Research, University of NavarraPamplonaSpain
| | - Maria Angeles Zulet
- Navarra Institute for Health Research (IdiSNA)PamplonaSpain,Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII)MadridSpain,Department of Nutrition, Food Science and Physiology, University of NavarraPamplonaSpain,Center for Nutrition Research, University of NavarraPamplonaSpain
| | - Miguel A. Martínez-González
- Department of Preventive Medicine and Public Health, University of NavarraPamplonaSpain,Navarra Institute for Health Research (IdiSNA)PamplonaSpain,Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII)MadridSpain,Department of Nutrition, Harvard T.H. Chan School of Public HealthBostonMAUSA
| | - Pilar Buil-Corsiales
- Department of Preventive Medicine and Public Health, University of NavarraPamplonaSpain,Navarra Institute for Health Research (IdiSNA)PamplonaSpain
| | | | - Vicente Martín Sánchez
- Institute of Biomedicine (IBIOMED), University of LeónLeónSpain,Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII)MadridSpain
| | - Zenaida Vazquez-Ruíz
- Department of Preventive Medicine and Public Health, University of NavarraPamplonaSpain,Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII)MadridSpain
| | - Carmen Sayón-Orea
- Department of Preventive Medicine and Public Health, University of NavarraPamplonaSpain,Navarra Institute for Health Research (IdiSNA)PamplonaSpain,Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII)MadridSpain
| | - Maite Domínguez-Fernández
- Department of Nutrition, Food Science and Physiology, University of NavarraPamplonaSpain,Center for Nutrition Research, University of NavarraPamplonaSpain
| | - Concepción Cid
- Navarra Institute for Health Research (IdiSNA)PamplonaSpain,Department of Nutrition, Food Science and Physiology, University of NavarraPamplonaSpain,Center for Nutrition Research, University of NavarraPamplonaSpain
| | - Ramon Estruch
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII)MadridSpain,Department of Internal Medicine, IDIBAPS, Hospital Clinic, University of BarcelonaBarcelonaSpain
| | - Rosa María Lamuela-Raventós
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII)MadridSpain,Department of Nutrition, Food Sciences and Gastronomy, XaRTA, INSA-UB, School of Pharmacy and Food Sciences, Nutrition and Food Safety Research Institute, University of BarcelonaBarcelonaSpain
| | - Montserrat Fitó
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII)MadridSpain,Cardiovascular Risk and Nutrition Research Group (CARIN), Hospital del Mar Research Institute (IMIM)BarcelonaSpain
| | - Gemma Blanchart
- Cardiovascular Risk and Nutrition Research Group (CARIN), Hospital del Mar Research Institute (IMIM)BarcelonaSpain
| | - Nancy Babio
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII)MadridSpain,Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició HumanaReusTarragonaSpain,Institut d'Investigació Pere Virgili (IISPV), Hospital Universitari Sant Joan de ReusReusSpain
| | - Jordi Salas-Salvadó
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII)MadridSpain,Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició HumanaReusTarragonaSpain,Institut d'Investigació Pere Virgili (IISPV), Hospital Universitari Sant Joan de ReusReusSpain
| | - Francisco J. Tinahones
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII)MadridSpain,Department of Endocrinology, Instituto de Investigación Biomédica de Málaga-IBIMA, University of Málaga, Virgen de la Victoria HospitalMálagaSpain
| | - Josep A. Tur
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII)MadridSpain,Research Group on Community Nutrition & Oxidative Stress, University of Balearic Islands-IUNICSPalma de MallorcaSpain
| | - Dora Romaguera
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII)MadridSpain,Research Group on Nutritional Epidemiology & Cardiovascular Physiopathology (NUTRECOR), Health Research Institute of the Balearic Islands (IdISBa), University Hospital Son Espases (HUSE)Palma de MallorcaSpain
| | - Jadwiga Konieczna
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII)MadridSpain,Research Group on Nutritional Epidemiology & Cardiovascular Physiopathology (NUTRECOR), Health Research Institute of the Balearic Islands (IdISBa), University Hospital Son Espases (HUSE)Palma de MallorcaSpain
| | - Xavier Pintó
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII)MadridSpain,Lipids and Vascular Risk Unit, Internal Medicine, Hospital Universitario de Bellvitge, Hospitalet de LlobregatBarcelonaSpain
| | - Lidia Daimiel
- Nutritional Control of the Epigenome Group, Precision Nutrition and Obesity Program, IMDEA Food, CEI UAM+ CSICMadridSpain
| | - Ana Rodriguez-Mateos
- Department of Nutritional Sciences, School of Life Course and Population Sciences, Faculty of Life Sciences and Medicine, King's College LondonLondonUnited Kingdom
| | - José Alfredo Martínez
- Navarra Institute for Health Research (IdiSNA)PamplonaSpain,Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII)MadridSpain,Department of Nutrition, Food Science and Physiology, University of NavarraPamplonaSpain,Center for Nutrition Research, University of NavarraPamplonaSpain,Cardiometabolic Nutrition Group, Precision Nutrition and Cardiovascular Health Program, IMDEA Food, CEI UAM+ CSICMadridSpain
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89
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Avelino DC, da Silva A, Chaves LO, Carraro JCC, de Carvalho Vidigal F, Bressan J. Triglyceride-glucose index is associated with poor sleep quality in apparently healthy subjects: A cross-sectional study. ARCHIVES OF ENDOCRINOLOGY AND METABOLISM 2023; 67:73-91. [PMID: 36155123 PMCID: PMC9983794 DOI: 10.20945/2359-3997000000517] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
Abstract
Objective We aimed to evaluate the association between the triglyceride glucose index (TyG index) and sleep quality and to establish a cut-off value for the TyG index based on the prevalence of subjects with insulin resistance (IR). Methods This cross-sectional study involved Brazilian health professionals (20-59 years). A total of 138 subjects answered the Pittsburgh Sleep Quality questionnaire to evaluate sleep quality. They were categorized into two groups: good sleep quality (global score ≤ 5 points) and poor sleep quality (global score ≥ 6 points). Also, we classified the subjects as having a high (>8.08 or >4.38) or low TyG index (≤ 8.08 or ≤4.38). Results The majority of the subjects (70%) with high TyG index values (>8.08 or >4.38) reported poor sleep quality (p ≤ 0.001). Those with poor sleep quality had a 1.44-fold higher prevalence of IR (TyG index >8.08 or >4.38) compared to those with good sleep quality, regardless of sex, total cholesterol, LDL/HDL ratio, insulin, complement C3, CRP, and adiponectin (p ≤ 0.001). Conclusion Our data showed a positive and significant association between the TyG index and poor sleep quality. Thus, these findings support the association between poor sleep quality and IR.
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Affiliation(s)
| | - Alessandra da Silva
- Departamento de Nutrição e Saúde, Universidade Federal de Viçosa, Viçosa, MG, Brasil
| | | | | | | | - Josefina Bressan
- Departamento de Nutrição e Saúde, Universidade Federal de Viçosa, Viçosa, MG, Brasil
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90
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Aguilera-Buenosvinos I, Martínez-González MÁ, Zazpe I, Romanos-Nanclares A, Sánchez-Bayona R, Toledo E. Associations between overall, healthful, and unhealthful low-fat dietary patterns and breast cancer risk in a Mediterranean cohort: The SUN project. Nutrition 2023; 109:111967. [PMID: 36738657 DOI: 10.1016/j.nut.2022.111967] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2022] [Revised: 11/25/2022] [Accepted: 12/31/2022] [Indexed: 01/09/2023]
Abstract
OBJECTIVES Dietary patterns may have a greater influence on human health than individual foods or nutrients, and they are also of substantial interest in the field of breast cancer prevention. Beyond the adequate balance of macronutrients, evidence indicates that the quality of macronutrient sources may play an important role in health outcomes. We sought to examine the relationship between healthful and unhealthful low-fat dietary patterns in relation to breast cancer. METHODS We used observational data from a Mediterranean cohort study (the Seguimiento Universidad de Navarra project). We prospectively followed 10 930 middle-aged women initially free of breast cancer during a median follow-up of 12.1 y. We calculated an overall, an unhealthful, and a healthful low-fat diet score, based on a previously validated 136-item food frequency questionnaire and grouped participants into tertiles. Incident breast cancer-overall and stratified by menopausal status-was the primary outcome. It was self-reported by participants and confirmed based on medical reports or consultation of the National Death Index. We used multivariable Cox regression models adjusted for potential confounders. RESULTS During 123 297 person-years of follow-up, 150 cases of incident breast cancer were confirmed. No significant associations were observed for overall or premenopausal breast cancer. For postmenopausal women, we observed a significant association for moderate adherence to the unhealthful low-fat dietary score and postmenopausal breast cancer (comparing tertile 2 to tertile 1; hazard ratio = 2.18; 95% confidence interval, 1.15-4.13). CONCLUSIONS In conclusion, no clear associations were observed, although more research is needed to address the association between an unhealthful dietary pattern and postmenopausal breast cancer risk.
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Affiliation(s)
- Inmaculada Aguilera-Buenosvinos
- University of Navarra, Department of Preventive Medicine and Public Health, Pamplona, Spain; Navarra Institute for Health Research, IdiSNA, Pamplona, Spain
| | - Miguel Ángel Martínez-González
- University of Navarra, Department of Preventive Medicine and Public Health, Pamplona, Spain; Navarra Institute for Health Research, IdiSNA, Pamplona, Spain; Centro de Investigación Biomédica en Red Área de Fisiología de la Obesidad y la Nutrición (CIBEROBN), Madrid, Spain; Department of Nutrition, Harvard T. H. Chan School of Public Health, Harvard University, Boston, MA USA
| | - Itziar Zazpe
- University of Navarra, Department of Preventive Medicine and Public Health, Pamplona, Spain; Department of Nutrition and Food Sciences and Physiology, University of Navarra, Irunlarrea, Spain
| | - Andrea Romanos-Nanclares
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | | | - Estefanía Toledo
- University of Navarra, Department of Preventive Medicine and Public Health, Pamplona, Spain; Navarra Institute for Health Research, IdiSNA, Pamplona, Spain; Centro de Investigación Biomédica en Red Área de Fisiología de la Obesidad y la Nutrición (CIBEROBN), Madrid, Spain.
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91
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García S, Bouzas C, Mateos D, Pastor R, Álvarez L, Rubín M, Martínez-González MÁ, Salas-Salvadó J, Corella D, Goday A, Martínez JA, Alonso-Gómez ÁM, Wärnberg J, Vioque J, Romaguera D, Lopez-Miranda J, Estruch R, Tinahones FJ, Lapetra J, Serra-Majem L, Riquelme-Gallego B, Pintó X, Gaforio JJ, Matía P, Vidal J, Vázquez C, Daimiel L, Ros E, Bes-Rastrollo M, Guillem-Saiz P, Nishi S, Cabanes R, Abete I, Goicolea-Güemez L, Gómez-Gracia E, Signes-Pastor AJ, Colom A, García-Ríos A, Castro-Barquero S, Fernández-García JC, Santos-Lozano JM, Vázquez Z, Sorlí JV, Pascual M, Castañer O, Zulet MA, Vaquero-Luna J, Basterra-Gortari FJ, Babio N, Ciurana R, Martín-Sánchez V, Tur JA. Carbon dioxide (CO 2) emissions and adherence to Mediterranean diet in an adult population: the Mediterranean diet index as a pollution level index. ENVIRONMENTAL HEALTH 2023; 22:1. [PMID: 36600281 PMCID: PMC9814202 DOI: 10.1186/s12940-022-00956-7] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/15/2022] [Accepted: 12/29/2022] [Indexed: 01/06/2023]
Abstract
BACKGROUND Research related to sustainable diets is is highly relevant to provide better understanding of the impact of dietary intake on the health and the environment. AIM To assess the association between the adherence to an energy-restricted Mediterranean diet and the amount of CO2 emitted in an older adult population. DESIGN AND POPULATION Using a cross-sectional design, the association between the adherence to an energy-reduced Mediterranean Diet (erMedDiet) score and dietary CO2 emissions in 6646 participants was assessed. METHODS Food intake and adherence to the erMedDiet was assessed using validated food frequency questionnaire and 17-item Mediterranean questionnaire. Sociodemographic characteristics were documented. Environmental impact was calculated through greenhouse gas emissions estimations, specifically CO2 emissions of each participant diet per day, using a European database. Participants were distributed in quartiles according to their estimated CO2 emissions expressed in kg/day: Q1 (≤2.01 kg CO2), Q2 (2.02-2.34 kg CO2), Q3 (2.35-2.79 kg CO2) and Q4 (≥2.80 kg CO2). RESULTS More men than women induced higher dietary levels of CO2 emissions. Participants reporting higher consumption of vegetables, fruits, legumes, nuts, whole cereals, preferring white meat, and having less consumption of red meat were mostly emitting less kg of CO2 through diet. Participants with higher adherence to the Mediterranean Diet showed lower odds for dietary CO2 emissions: Q2 (OR 0.87; 95%CI: 0.76-1.00), Q3 (OR 0.69; 95%CI: 0.69-0.79) and Q4 (OR 0.48; 95%CI: 0.42-0.55) vs Q1 (reference). CONCLUSIONS The Mediterranean diet can be environmentally protective since the higher the adherence to the Mediterranean diet, the lower total dietary CO2 emissions. Mediterranean Diet index may be used as a pollution level index.
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Affiliation(s)
- Silvia García
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain.,Research Group on Community Nutrition & Oxidative Stress, University of Balearic Islands-IUNICS, Guillem Colom Bldg, Campus, E-07122, Palma de Mallorca, Spain.,Health Research Institute of the Balearic Islands (IdISBa), 07120, Palma de Mallorca, Spain
| | - Cristina Bouzas
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain.,Research Group on Community Nutrition & Oxidative Stress, University of Balearic Islands-IUNICS, Guillem Colom Bldg, Campus, E-07122, Palma de Mallorca, Spain.,Health Research Institute of the Balearic Islands (IdISBa), 07120, Palma de Mallorca, Spain
| | - David Mateos
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain.,Research Group on Community Nutrition & Oxidative Stress, University of Balearic Islands-IUNICS, Guillem Colom Bldg, Campus, E-07122, Palma de Mallorca, Spain.,Health Research Institute of the Balearic Islands (IdISBa), 07120, Palma de Mallorca, Spain
| | - Rosario Pastor
- Research Group on Community Nutrition & Oxidative Stress, University of Balearic Islands-IUNICS, Guillem Colom Bldg, Campus, E-07122, Palma de Mallorca, Spain.,Faculty of Health Sciences, Catholic University of Avila, 05005, Avila, Spain
| | - Laura Álvarez
- CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain.,Institute of Biomedicine (IBIOMED), University of León, 24071, Leon, Spain
| | - María Rubín
- CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain.,Institute of Biomedicine (IBIOMED), University of León, 24071, Leon, Spain
| | - Miguel Ángel Martínez-González
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain.,Department of Preventive Medicine and Public Health, IDISNA, University of Navarra, 31008, Pamplona, Spain.,Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, USA
| | - Jordi Salas-Salvadó
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain.,Biochemistry and Biotechnology Department, Human Nutrition Unit, IISPV, Universitat Rovira i Virgili, Hospital Universitari de Sant Joan, 43201, Reus, Spain
| | - Dolores Corella
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain.,Department of Preventive Medicine, University of Valencia, 46100, Valencia, Spain
| | - Albert Goday
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain.,Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d'Investigació Mèdica (IMIM), 08003, Barcelona, Spain.,Department of Medicine, University Autonomous of Barcelona, 08003, Barcelona, Spain
| | - J Alfredo Martínez
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain.,Cardiometabolics Precision Nutrition Program, IMDEA Food, CEI UAM + CSIC, 28049, Madrid, Spain.,Department of Nutrition, Food Sciences, and Physiology, Center for Nutrition Research, University of Navarra, 31008, Pamplona, Spain
| | - Ángel M Alonso-Gómez
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain.,Bioaraba Health Research Institute; Osakidetza Basque Health Service, Araba University Hospital; University of the Basque Country UPV/EHU, 48013, Vitoria-Gasteiz, Spain
| | - Julia Wärnberg
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain.,Department of Nursing, School of Health Sciences, University of Málaga-IBIMA, 29071, Málaga, Spain
| | - Jesús Vioque
- Faculty of Health Sciences, Catholic University of Avila, 05005, Avila, Spain.,Instituto de Investigación Sanitaria y Biomédica de Alicante, Universidad Miguel Hernández (ISABIAL-UMH), 03550, Alicante, Spain
| | - Dora Romaguera
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain.,Health Research Institute of the Balearic Islands (IdISBa), 07120, Palma de Mallorca, Spain
| | - José Lopez-Miranda
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain.,Lipids and Atherosclerosis Unit, Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, 14004, Córdoba, Spain
| | - Ramon Estruch
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain.,Department of Internal Medicine, IDIBAPS, Hospital Clinic, University of Barcelona, 08036, Barcelona, Spain
| | - Francisco J Tinahones
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain.,Virgen de la Victoria Hospital, Department of Endocrinology, University of Málaga, 29010, Málaga, Spain
| | - José Lapetra
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain.,Department of Family Medicine, Research Unit, Distrito Sanitario Atención Primaria Sevilla, 41013, Sevilla, Spain
| | - Lluís Serra-Majem
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain.,Institute for Biomedical Research, University of Las Palmas de Gran Canaria, 35016, Las Palmas, Spain
| | - Blanca Riquelme-Gallego
- Faculty of Health Sciences, Catholic University of Avila, 05005, Avila, Spain.,Department of Preventive Medicine, University of Granada, 18071, Granada, Spain
| | - Xavier Pintó
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain.,Lipids and Vascular Risk Unit, Internal Medicine, Hospital Universitario de Bellvitge, Hospitalet de Llobregat, 08907, Barcelona, Spain
| | - José J Gaforio
- Faculty of Health Sciences, Catholic University of Avila, 05005, Avila, Spain.,Department of Health Sciences, Center for Advanced Studies in Olive Grove and Olive Oils, University of Jaen, 23071, Jaen, Spain
| | - Pilar Matía
- Department of Endocrinology and Nutrition, Instituto de Investigación Sanitaria San Carlos (IdISSC), 28040, Madrid, Spain
| | - Josep Vidal
- Department of Endocrinology, IDIBAPS, Hospital Clinic, University of Barcelona, 08036, Barcelona, Spain
| | - Clotilde Vázquez
- Department of Endocrinology, Fundación Jiménez-Díaz, 28040, Madrid, Spain
| | - Lidia Daimiel
- Nutritional Control of the Epigenome Group, Precision Nutrition and Obesity Program.IMDEA Food, CEI UAM + CSIC, 28049, Madrid, Spain
| | - Emilio Ros
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain.,Lipid Clinic, Department of Endocrinology and Nutrition, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clínic, 08036, Barcelona, Spain
| | - Maira Bes-Rastrollo
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain.,Department of Preventive Medicine and Public Health, IDISNA, University of Navarra, 31008, Pamplona, Spain
| | - Patricia Guillem-Saiz
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain.,Department of Preventive Medicine, University of Valencia, 46100, Valencia, Spain
| | - Stephanie Nishi
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain.,Biochemistry and Biotechnology Department, Human Nutrition Unit, IISPV, Universitat Rovira i Virgili, Hospital Universitari de Sant Joan, 43201, Reus, Spain.,Toronto 3D (Diet, Digestive Tract and Disease) Knowledge Synthesis and Clinical Trials Unit, Toronto, ON, Canada.,Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Unity Health Toronto, Toronto, ON, Canada
| | - Robert Cabanes
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain.,Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d'Investigació Mèdica (IMIM), 08003, Barcelona, Spain
| | - Itziar Abete
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain.,Department of Nutrition, Food Sciences, and Physiology, Center for Nutrition Research, University of Navarra, 31008, Pamplona, Spain
| | - Leire Goicolea-Güemez
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain.,Bioaraba Health Research Institute; Osakidetza Basque Health Service, Araba University Hospital; University of the Basque Country UPV/EHU, 48013, Vitoria-Gasteiz, Spain
| | - Enrique Gómez-Gracia
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain.,Department of Public Health and Psychiatry, School of Medicine, University of Malaga, and Biomedical Research Institute of Malaga (IBIMA), 29010, Málaga, Spain
| | - Antonio José Signes-Pastor
- CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain.,Instituto de Investigación Sanitaria y Biomédica de Alicante, Universidad Miguel Hernández (ISABIAL-UMH), 03550, Alicante, Spain
| | - Antoni Colom
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain.,Health Research Institute of the Balearic Islands (IdISBa), 07120, Palma de Mallorca, Spain
| | - Antonio García-Ríos
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain.,Lipids and Atherosclerosis Unit, Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, 14004, Córdoba, Spain
| | - Sara Castro-Barquero
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain.,Department of Internal Medicine, IDIBAPS, Hospital Clinic, University of Barcelona, 08036, Barcelona, Spain
| | - Jose C Fernández-García
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain.,Virgen de la Victoria Hospital, Department of Endocrinology, University of Málaga, 29010, Málaga, Spain
| | - José Manuel Santos-Lozano
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain.,Department of Family Medicine, Research Unit, Distrito Sanitario Atención Primaria Sevilla, 41013, Sevilla, Spain
| | - Zenaida Vázquez
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain.,Department of Preventive Medicine and Public Health, IDISNA, University of Navarra, 31008, Pamplona, Spain
| | - José V Sorlí
- Department of Preventive Medicine, University of Valencia, 46100, Valencia, Spain
| | - Maria Pascual
- Biochemistry and Biotechnology Department, Human Nutrition Unit, IISPV, Universitat Rovira i Virgili, Hospital Universitari de Sant Joan, 43201, Reus, Spain
| | - Olga Castañer
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain.,Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d'Investigació Mèdica (IMIM), 08003, Barcelona, Spain
| | - Maria Angeles Zulet
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain.,Department of Nutrition, Food Sciences, and Physiology, Center for Nutrition Research, University of Navarra, 31008, Pamplona, Spain
| | - Jessica Vaquero-Luna
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain.,Bioaraba Health Research Institute; Osakidetza Basque Health Service, Araba University Hospital; University of the Basque Country UPV/EHU, 48013, Vitoria-Gasteiz, Spain
| | - F Javier Basterra-Gortari
- Department of Preventive Medicine and Public Health, IDISNA, University of Navarra, 31008, Pamplona, Spain.,Department of Endocrinology, Hospital Universitario de Navarra, Osasunbidea, 31008, Pamplona, Spain
| | - Nancy Babio
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain.,Biochemistry and Biotechnology Department, Human Nutrition Unit, IISPV, Universitat Rovira i Virgili, Hospital Universitari de Sant Joan, 43201, Reus, Spain
| | - Ramon Ciurana
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain.,Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d'Investigació Mèdica (IMIM), 08003, Barcelona, Spain
| | - Vicente Martín-Sánchez
- CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain.,Institute of Biomedicine (IBIOMED), University of León, 24071, Leon, Spain
| | - Josep A Tur
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain. .,Research Group on Community Nutrition & Oxidative Stress, University of Balearic Islands-IUNICS, Guillem Colom Bldg, Campus, E-07122, Palma de Mallorca, Spain. .,Health Research Institute of the Balearic Islands (IdISBa), 07120, Palma de Mallorca, Spain.
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92
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Garcidueñas-Fimbres TE, Paz-Graniel I, Gómez-Martínez C, Jurado-Castro JM, Leis R, Escribano J, Moreno LA, Navas-Carretero S, Portoles O, Pérez-Vega KA, Gil-Campos M, López-Rubio A, Rey-Reñones C, De Miguel-Etayo P, Martínez JA, Flores-Rojas K, Vázquez-Cobela R, Luque V, Miguel-Berges ML, Pastor-Villaescusa B, Llorente-Cantarero FJ, Salas-Salvadó J, Babio N. Associations Between Eating Speed, Diet Quality, Adiposity, and Cardiometabolic Risk Factors. J Pediatr 2023; 252:31-39.e1. [PMID: 36027978 DOI: 10.1016/j.jpeds.2022.08.024] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/19/2022] [Revised: 08/15/2022] [Accepted: 08/18/2022] [Indexed: 11/26/2022]
Abstract
OBJECTIVE To assess the associations between eating speed, adiposity, cardiometabolic risk factors, and diet quality in a cohort of Spanish preschool-children. STUDY DESIGN A cross-sectional study in 1371 preschool age children (49% girls; mean age, 4.8 ± 1.0 years) from the Childhood Obesity Risk Assessment Longitudinal Study (CORALS) cohort was conducted. After exclusions, 956 participants were included in the analyses. The eating speed was estimated by summing the total minutes used in each of the 3 main meals and then categorized into slow, moderate, or fast. Multiple linear and logistic regression models were fitted to assess the β-coefficient, or OR and 95% CI, between eating speed and body mass index, waist circumference, fat mass index (FMI), blood pressure, fasting plasma glucose, and lipid profile. RESULTS Compared with participants in the slow-eating category, those in the fast-eating category had a higher prevalence risk of overweight/obesity (OR, 2.9; 95% CI, 1.8-4.4; P < .01); larger waist circumference (β, 2.6 cm; 95% CI, 1.5-3.8 cm); and greater FMI (β, 0.3 kg/m2; 95% CI, 0.1-0.5 kg/m2), systolic blood pressure (β, 2.8 mmHg; 95% CI, 0.6-4.9 mmHg), and fasting plasma glucose levels (β, 2.7 mg/dL, 95% CI, 1.2-4.2 mg/dL) but lower adherence to the Mediterranean diet (β, -0.5 points; 95% CI, -0.9 to -0.1 points). CONCLUSIONS Eating fast is associated with higher adiposity, certain cardiometabolic risk factors, and lower adherence to a Mediterranean diet. Further long-term and interventional studies are warranted to confirm these associations.
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Affiliation(s)
- Tany E Garcidueñas-Fimbres
- Consorcio CIBER. Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain; Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana, Reus, Spain; Institut d'Investigació Sanitària Pere Virgili, Reus, Spain
| | - Indira Paz-Graniel
- Consorcio CIBER. Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain; Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana, Reus, Spain; Institut d'Investigació Sanitària Pere Virgili, Reus, Spain
| | - Carlos Gómez-Martínez
- Consorcio CIBER. Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain; Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana, Reus, Spain; Institut d'Investigació Sanitària Pere Virgili, Reus, Spain
| | - Jose Manuel Jurado-Castro
- Consorcio CIBER. Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain; Reina Sofia University Hospital, Maimónides Biomedical Research Institute of Cordoba., University of Córdoba, Córdoba, Spain
| | - Rosaura Leis
- Consorcio CIBER. Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain; Unit of Pediatric Gastroenterology, Hepatology and Nutrition, Pediatric Service, Complejo Hospitalario Universitario de Santiago de Compostela, Santiago de Compostela, Spain; Pediatric Nutrition Research Group, Health Research Institute of Santiago de Compostela, Santiago de Compostela, Spain; Unit of Investigation in Human Nutrition, Growth and Development of Galicia, University of Santiago de Compostela, Santiago de Compostela, Spain
| | - Joaquin Escribano
- Institut d'Investigació Sanitària Pere Virgili, Reus, Spain; Pediatrics, Nutrition, and Development Research Unit, Universitat Rovira i Virgili, Reus, Spain
| | - Luis A Moreno
- Consorcio CIBER. Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain; Growth, Exercise, Nutrition and Development Research Group, Instituto Agroalimentario de Aragón, Instituto de Investigación Sanitaria Aragón, University of Zaragoza, Zaragoza, Spain; Department of Physiatry and Nursing, University of Zaragoza, Zaragoza, Spain
| | - Santiago Navas-Carretero
- Consorcio CIBER. Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain; Center for Nutrition Research, University of Navarra, Pamplona, Spain; IdisNA Institute for Health Research, Pamplona, Spain
| | - Olga Portoles
- Consorcio CIBER. Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain; Department of Preventive Medicine and Public Health, University of Valencia, Valencia, Spain
| | - Karla A Pérez-Vega
- Consorcio CIBER. Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain; Cardiovascular Risk and Nutrition Research Group, Hospital del Mar Medical Research Institute, Barcelona, Spain
| | - Mercedes Gil-Campos
- Consorcio CIBER. Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain; Reina Sofia University Hospital, Maimónides Biomedical Research Institute of Cordoba., University of Córdoba, Córdoba, Spain
| | - Alicia López-Rubio
- Unit of Pediatric Gastroenterology, Hepatology and Nutrition, Pediatric Service, Complejo Hospitalario Universitario de Santiago de Compostela, Santiago de Compostela, Spain; Pediatric Nutrition Research Group, Health Research Institute of Santiago de Compostela, Santiago de Compostela, Spain; Unit of Investigation in Human Nutrition, Growth and Development of Galicia, University of Santiago de Compostela, Santiago de Compostela, Spain
| | - Cristina Rey-Reñones
- Departament de Ciències Mèdiques Bàsiques, Facultat de Medicina, Universitat Rovira i Virgili, Reus, Spain; Unitat de Suport a la Recerca Camp de Tarragona, Fundació Institut Universitari per a la Recerca a l'Atenció Primària de Salut Jordi Gol i Gurina, Reus, Spain; Centre d'Atenció Primària St Pere, Direcció d'Atenció Primària Camp de Tarragona, Institut Català de la Salut, Reus, Spain
| | - Pilar De Miguel-Etayo
- Consorcio CIBER. Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain; Growth, Exercise, Nutrition and Development Research Group, Instituto Agroalimentario de Aragón, Instituto de Investigación Sanitaria Aragón, University of Zaragoza, Zaragoza, Spain; Department of Physiatry and Nursing, University of Zaragoza, Zaragoza, Spain
| | | | - Katherine Flores-Rojas
- Reina Sofia University Hospital, Maimónides Biomedical Research Institute of Cordoba., University of Córdoba, Córdoba, Spain
| | - Rocío Vázquez-Cobela
- Consorcio CIBER. Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain; Unit of Pediatric Gastroenterology, Hepatology and Nutrition, Pediatric Service, Complejo Hospitalario Universitario de Santiago de Compostela, Santiago de Compostela, Spain; Pediatric Nutrition Research Group, Health Research Institute of Santiago de Compostela, Santiago de Compostela, Spain; Unit of Investigation in Human Nutrition, Growth and Development of Galicia, University of Santiago de Compostela, Santiago de Compostela, Spain
| | - Verónica Luque
- Institut d'Investigació Sanitària Pere Virgili, Reus, Spain; Pediatrics, Nutrition, and Development Research Unit, Universitat Rovira i Virgili, Reus, Spain
| | - Maria Luisa Miguel-Berges
- Consorcio CIBER. Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain; Growth, Exercise, Nutrition and Development Research Group, Instituto Agroalimentario de Aragón, Instituto de Investigación Sanitaria Aragón, University of Zaragoza, Zaragoza, Spain; Department of Physiatry and Nursing, University of Zaragoza, Zaragoza, Spain
| | - Belén Pastor-Villaescusa
- Reina Sofia University Hospital, Maimónides Biomedical Research Institute of Cordoba., University of Córdoba, Córdoba, Spain
| | - Francisco Jesus Llorente-Cantarero
- Consorcio CIBER. Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain; Department of Specific Didactics, Faculty of Education, University of Córdoba, Córdoba, Spain
| | - Jordi Salas-Salvadó
- Consorcio CIBER. Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain; Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana, Reus, Spain; Institut d'Investigació Sanitària Pere Virgili, Reus, Spain.
| | - Nancy Babio
- Consorcio CIBER. Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain; Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana, Reus, Spain; Institut d'Investigació Sanitària Pere Virgili, Reus, Spain.
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93
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Pérez-Vega KA, Castañer O, Sanllorente A, Lassale C, Ros E, Pintó X, Estruch R, Salas-Salvadó J, Corella D, Alonso-Gómez ÁM, Serra-Majem L, Razquin C, Fiol M, Lapetra J, Gómez-Gracia E, Tinahones FJ, Hernáez Á, Fitó M. Mediterranean Diet, Energy Restriction, Physical Activity, and Atherogenicity of Very-Low Density Lipoproteins: Findings from Two Randomized Controlled Trials. Mol Nutr Food Res 2023; 67:e2200338. [PMID: 36353918 PMCID: PMC10078255 DOI: 10.1002/mnfr.202200338] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2022] [Revised: 10/14/2022] [Indexed: 11/11/2022]
Abstract
SCOPE Some very-low density lipoprotein (VLDL) properties may render them more pro-atherogenic. We aimed to assess whether a Mediterranean diet (MedDiet) or an energy-reduced MedDiet with increased physical activity improves them. METHODS AND RESULTS In a sample of the PREvención con DIeta MEDiterránea (PREDIMED) study, a 1-year intervention with MedDiet with extra-virgin olive oil (n = 89) or nuts (MedDiet-Nuts; n = 79) is compared with a low-fat diet (n = 90). In the PREDIMED-Plus study, a 1-year intervention with energy-reduced MedDiet and physical activity (n = 103) is compared with an ad libitum MedDiet (n = 101). VLDL levels of apolipoprotein C-I, C-III, triglycerides, and cholesterol; the apolipoprotein E-/C-I ratio; and VLDL ex-vivo triglyceride transfer are measured. In PREDIMED participants in both MedDiet groups combined, VLDL apolipoprotein C-III levels are nominally reduced (-0.023 SD units, 95% CI -0.44 to -0.014, p = 0.037). VLDL triglyceride transfer is nominally increased in the MedDiet-Nuts group (+0.39 SD units, 95% CI 0.012-0.78, p = 0.045). In PREDIMED-Plus, no inter-group differences are detected. CONCLUSIONS In older adults at high cardiovascular risk, MedDiet is associated with lower VLDL atherogenicity versus a low-fat diet. No differences are seen after an energy-reduced MedDiet with physical activity.
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Affiliation(s)
- Karla Alejandra Pérez-Vega
- Hospital del Mar Medical Research Institute (IMIM), Barcelona, 08003, Spain.,Consorcio Centro de Investigación Biomédica En Red (CIBER), M.P. Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, 28029, Spain.,PhD Program in Food Science and Nutrition, Faculty of Pharmacy and Food Science, Universitat de Barcelona, Barcelona, 08028, Spain
| | - Olga Castañer
- Hospital del Mar Medical Research Institute (IMIM), Barcelona, 08003, Spain.,Consorcio Centro de Investigación Biomédica En Red (CIBER), M.P. Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, 28029, Spain
| | - Albert Sanllorente
- Hospital del Mar Medical Research Institute (IMIM), Barcelona, 08003, Spain.,Consorcio Centro de Investigación Biomédica En Red (CIBER), M.P. Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, 28029, Spain
| | - Camille Lassale
- Hospital del Mar Medical Research Institute (IMIM), Barcelona, 08003, Spain.,Consorcio Centro de Investigación Biomédica En Red (CIBER), M.P. Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, 28029, Spain
| | - Emilio Ros
- Consorcio Centro de Investigación Biomédica En Red (CIBER), M.P. Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, 28029, Spain.,Lipid Clinic, Endocrinology and Nutrition Service, Hospital Clínic, Barcelona, 08036, Spain.,August Pi i Sunyer Biomedical Research Institute (IDIBAPS), Barcelona, 08036, Spain
| | - Xavier Pintó
- Consorcio Centro de Investigación Biomédica En Red (CIBER), M.P. Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, 28029, Spain.,Lipids and Vascular Risk Unit, Internal Medicine, Hospital Universitario de Bellvitge, Hospitalet de Llobregat, Barcelona, 08907, Spain
| | - Ramón Estruch
- Consorcio Centro de Investigación Biomédica En Red (CIBER), M.P. Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, 28029, Spain.,August Pi i Sunyer Biomedical Research Institute (IDIBAPS), Barcelona, 08036, Spain.,Internal Medicine Service, Hospital Clinic, Barcelona, 08036, Spain
| | - Jordi Salas-Salvadó
- Consorcio Centro de Investigación Biomédica En Red (CIBER), M.P. Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, 28029, Spain.,Universitat Rovira i Virgili, Universitat Rovira i Virgili, Departament de Bioquimica i Biotecnologia, Unitat de Nutrició Humana, Reus, 43201, Spain.,Institut d'Investigació Pere Virgili, Hospital Universitari Sant Joan de Reus, Reus, 43204, Spain
| | - Dolores Corella
- Consorcio Centro de Investigación Biomédica En Red (CIBER), M.P. Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, 28029, Spain.,Department of Preventive Medicine, Universidad de Valencia, Valencia, 46010, Spain
| | - Ángel M Alonso-Gómez
- Consorcio Centro de Investigación Biomédica En Red (CIBER), M.P. Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, 28029, Spain.,Bioaraba Health Research Institute, Osakidetza Basque Health Service, Araba University Hospital, University of the Basque Country UPV/EHU, Vitoria-Gasteiz, 01009, Spain
| | - Lluis Serra-Majem
- Consorcio Centro de Investigación Biomédica En Red (CIBER), M.P. Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, 28029, Spain.,Instituto de Investigaciones Biomédicas y Sanitarias, Universidad de Las Palmas de Gran Canaria, Las Palmas, 35016, Spain.,Centro Hospitalario Universitario Insular Materno Infantil, Servicio Canario de Salud, Las Palmas, 35016, Spain
| | - Cristina Razquin
- Consorcio Centro de Investigación Biomédica En Red (CIBER), M.P. Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, 28029, Spain.,Department of Preventive Medicine and Public Health, IdiSNA, University of Navarra, Pamplona, 31008, Spain
| | - Miquel Fiol
- Consorcio Centro de Investigación Biomédica En Red (CIBER), M.P. Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, 28029, Spain.,Health Research Institute of the Balearic Islands (IdISBa), Hospital Son Espases, Palma de Mallorca, 07120, Spain
| | - José Lapetra
- Consorcio Centro de Investigación Biomédica En Red (CIBER), M.P. Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, 28029, Spain.,Department of Family Medicine-Research Unit, Distrito Sanitario Atención Primaria Sevilla, Sevilla, 41013, Spain
| | - Enrique Gómez-Gracia
- Consorcio Centro de Investigación Biomédica En Red (CIBER), M.P. Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, 28029, Spain.,Department of Preventive Medicine and Public Health, Universidad de Málaga, Málaga, 29071, Spain
| | - Francisco J Tinahones
- Consorcio Centro de Investigación Biomédica En Red (CIBER), M.P. Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, 28029, Spain.,Department of Endocrinology, Biomedical Research Institute of Málaga, Virgen de la Victoria Hospital, University of Málaga, Málaga, 29006, Spain
| | - Álvaro Hernáez
- Consorcio Centro de Investigación Biomédica En Red (CIBER), M.P. Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, 28029, Spain.,Centre for Fertility and Health, Norwegian Institute of Public Health, Oslo, 0463, Norway.,Blanquerna School of Health Sciences, Universitat Ramon Llull, Barcelona, 08025, Spain
| | - Montserrat Fitó
- Hospital del Mar Medical Research Institute (IMIM), Barcelona, 08003, Spain.,Consorcio Centro de Investigación Biomédica En Red (CIBER), M.P. Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, 28029, Spain
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94
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Rognoni T, Fernández-Matarrubia M, Martinez-González MÁ, Salas-Salvadó J, Corella D, Castañer O, Martínez JA, Alonso-Gómez ÁM, Gómez-Gracia E, Vioque J, Romaguera D, López-Miranda J, Estruch R, Tinahones FJ, Santos-Lozano JM, Serra-Majem L, Cano Ibañez N, Tur JA, Micó Pérez R, Pintó X, Delgado-Rodríguez M, Ortiz Ramos M, Vidal J, Vázquez C, Daimiel L, Ros E, Goñi-Ruiz N, Babio N, Sorlí JV, Schröder H, García-Rios A, Compañ-Gabucio L, Warnberg J, Zulet MÁ, Chaplin A, Sacanella E, Bouzalmate-Hajjaj A, Tojal-Sierra L, Damas-Fuentes M, Vázquez Z, Gómez-Martínez C, Saiz C, Malcampo M, Ortiz-Morales AM, Martínez-Avilés V, García-Gavilan J, Abete I, Fitó M, Toledo E. Two-Year Changes in Physical Activity and Concurrent Changes in Cognitive Function in a Cohort of Adults with Metabolic Syndrome. J Alzheimers Dis 2023; 95:887-899. [PMID: 37661880 DOI: 10.3233/jad-230105] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/05/2023]
Abstract
BACKGROUND It has been proposed that physical activity (PA) could prevent cognitive decline. OBJECTIVE To evaluate the association between changes in PA and changes in cognitive function in a cohort of adults with metabolic syndrome. METHODS Longitudinal observational study including 5,500 adults (mean age 65 years, SD = 5; women = 49.3% ) with metabolic syndrome. Participants underwent physical activity measurements and cognitive evaluation at baseline and at two-years of follow-up. PA was quantified using the Minnesota questionnaire-shortened version. Cognitive function was evaluated using a battery of tests: Mini-Mental Test Examination, Clock Drawing Test, Trail Making Test A and B, Verbal Fluency Test, and Digit Span. The primary outcome was two-year change in cognition, measured through the Global Composite Score (GCS) of all neuropsychological tests. Multivariable-adjusted linear regression models were fitted with baseline PA and their changes as the main exposures and changes in cognitive function as the outcome. RESULTS No significant association was found between PA levels (or their changes) in the GCS of cognitive function. A greater increase in PA levels was associated with a more favorable two-year change in the Trail Making Test A (Q4 versus Q1: b = - 2.24s, 95% CI -4.36 to -0.12s; p-trend = 0.020). No significant association was found for other neuropsychological test. CONCLUSION Our results do not support an association between increases in PA and the evolution of the global cognitive function at two-year in an intervention trial which included PA promotion in one of its two randomized arms, but they suggested a possible beneficial effect of PA on attentional function in older adults.
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Affiliation(s)
- Teresa Rognoni
- Department of Neurology, Clínica Universidad de Navarra, Madrid, Spain
| | | | - Miguel Ángel Martinez-González
- Department of Preventive Medicine and Public Health, University of Navarra, Pamplona, Spain
- IdiSNA, Navarra Institute for Health Research, Pamplona, Spain
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Jordi Salas-Salvadó
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Universitat Rovira i Vigili, Department de Bioquímica i Biotecnología, Unitat de Nutrició Humana, Reus, Spain
- Institut d'Investigació Sanitària Pere i Virgili (IISPV), Hospital San Joan de Reus, Reus, Spain
| | - Dolores Corella
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - Olga Castañer
- Cardiovascular Risk and Nutrition, Hospital del Mar Research Institute (IMIM), Barcelona, Spain
- Centro de Investigación Biomédica en Red Epidemiología y Salud Pública (CIBERESP), Institute of Health Carlos III, Madrid, Spain
| | - J Alfredo Martínez
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Department of Nutrition, Food Sciences, and Physiology, Center for Nutrition Research, University of Navarra, Pamplona, Spain
- Nutritional Control of the Epigenome Group, Precision Nutrition and Obesity Program, IMDEA Food, CEI UAM + CSIC, Madrid, Spain
| | - Ángel M Alonso-Gómez
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Bioaraba Health Research Institute, Cardiovascular, Respiratory and Metabolic Area; Osakidetza Basque Health Service, Araba University Hospital; University of the Basque Country UPV/EHU, Vitoria-Gasteiz, Spain
| | - Enrique Gómez-Gracia
- Department of Preventive Medicine and Public Health, Instituto de Investigación Biomédica de Málaga-IBIMA, School of Medicine, University of Málaga, Málaga, Spain
| | - Jesús Vioque
- Centro de Investigación Biomédica en Red Epidemiología y Salud Pública (CIBERESP), Institute of Health Carlos III, Madrid, Spain
- Instituto de Investigación Sanitaria y Biomédica de Alicante, Universidad Miguel Hernández (ISABIAL-UMH).Alicante, Spain
| | - Dora Romaguera
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Research Group on Nutritional Epidemiology & Cardiovascular Physiopathology (NUTRECOR), HealthResearch Institute of the Balearic Islands (IdISBa), Palma de Mallorca, Spain
| | - José López-Miranda
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Córdoba, Córdoba, Spain
| | - Ramón Estruch
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Department of Internal Medicine, Institut de I'nvestigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - Francisco J Tinahones
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Department of Endocrinology, Virgen de la Victoria Hospital, Instituto de Investigación Biomédica de Málaga (IBIMA). University of Málaga, Málaga, Spain
| | - José Manuel Santos-Lozano
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Department of Family Medicine, Research Unit, Distrito Sanitario Atención Primaria Sevilla, Sevilla, Spain
| | - Lluis Serra-Majem
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Research Institute of Biomedical and Health Sciences (IUIBS), University of Las Palmas de Gran Canaria and Centro Hospitalario Universitario Insular Materno Infantil (CHUIMI), Canarian Health Service, Las Palmas de Gran Canaria, Spain
| | - Naomi Cano Ibañez
- Centro de Investigación Biomédica en Red Epidemiología y Salud Pública (CIBERESP), Institute of Health Carlos III, Madrid, Spain
- Department of Preventive Medicine and Public Health, University of Granada, Granada, Spain
- Instituto de Investigación Biosanitaria de Granada (ibs.GRANADA), Granada, Spain
| | - Josep A Tur
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Research Group on Community Nutrition and Oxidative Stress, University of Balearic Islands-IUNICS, Palma de Mallorca, Spain
| | - Rafael Micó Pérez
- Centro de Investigación Biomédica en Red Epidemiología y Salud Pública (CIBERESP), Institute of Health Carlos III, Madrid, Spain
- Institute of Biomedicine (IBIOMED), University of León, León, Spain
| | - Xavier Pintó
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Lipids and Vascular Risk Unit, Internal Medicine, Hospital Universitario de Bellvitge, Hospitalet de Llobregat, Spain
| | - Miguel Delgado-Rodríguez
- Centro de Investigación Biomédica en Red Epidemiología y Salud Pública (CIBERESP), Institute of Health Carlos III, Madrid, Spain
- Division of Preventive Medicine, Faculty of Medicine, University of Jaén, Jaén, Spain
| | - María Ortiz Ramos
- Department of Endocrinology and Nutrition, Instituto de Investigación Sanitaria Hospital Clínico San Carlos (IdISSC), Madrid, Spain
| | - Josep Vidal
- Lipid Clinic, Department of Endocrinology and Nutrition, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clínic, Barcelona, Spain
- CIBER Diabetes y Enfermedades Metabólicas (CIBERDEM), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Clotilde Vázquez
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Department of Endocrinology and Nutrition, Hospital Fundación Jiménez Díaz, Instituto de Investigaciones Biomédicas IISFJD, University Autónoma, Madrid, Spain
| | - Lidia Daimiel
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Nutritional Control of the Epigenome Group, Precision Nutrition and Obesity Program, IMDEA Food, CEI UAM + CSIC, Madrid, Spain
- Departamento de Ciencias Farmacéuticas y de la Salud, Faculty de Farmacia, Universidad San Pablo-CEU, CEU Universities, Boadilla del Monte, Spain
| | - Emilio Ros
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Lipid Clinic, Department of Endocrinology and Nutrition, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clínic, Barcelona, Spain
| | - Nuria Goñi-Ruiz
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Servicios de Atención Primaria, Navarra Regional Health Service (Osasunbidea), Pamplona, Spain
| | - Nancy Babio
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Universitat Rovira i Vigili, Department de Bioquímica i Biotecnología, Unitat de Nutrició Humana, Reus, Spain
- Institut d'Investigació Sanitària Pere i Virgili (IISPV), Hospital San Joan de Reus, Reus, Spain
| | - José V Sorlí
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - Helmut Schröder
- Cardiovascular Risk and Nutrition, Hospital del Mar Research Institute (IMIM), Barcelona, Spain
- Centro de Investigación Biomédica en Red Epidemiología y Salud Pública (CIBERESP), Institute of Health Carlos III, Madrid, Spain
| | - Antonio García-Rios
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Córdoba, Córdoba, Spain
| | - Laura Compañ-Gabucio
- Instituto de Investigación Sanitaria y Biomédica de Alicante, Universidad Miguel Hernández (ISABIAL-UMH).Alicante, Spain
| | - Julia Warnberg
- Department of Nursing, School of Health Sciences University of Malaga, Spain
- Instituto de Investigación Biomédica de Málaga-IBIMA, Málaga, Spain
| | - M Ángeles Zulet
- IdiSNA, Navarra Institute for Health Research, Pamplona, Spain
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Department of Nutrition, Food Sciences, and Physiology, Center for Nutrition Research, University of Navarra, Pamplona, Spain
| | - Alice Chaplin
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Research Group on Nutritional Epidemiology & Cardiovascular Physiopathology (NUTRECOR), HealthResearch Institute of the Balearic Islands (IdISBa), Palma de Mallorca, Spain
| | - Emilio Sacanella
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Department of Internal Medicine, Institut de I'nvestigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - Amira Bouzalmate-Hajjaj
- Centro de Investigación Biomédica en Red Epidemiología y Salud Pública (CIBERESP), Institute of Health Carlos III, Madrid, Spain
- Department of Preventive Medicine and Public Health, University of Granada, Granada, Spain
| | - Lucas Tojal-Sierra
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Bioaraba Health Research Institute, Cardiovascular, Respiratory and Metabolic Area; Osakidetza Basque Health Service, Araba University Hospital; University of the Basque Country UPV/EHU, Vitoria-Gasteiz, Spain
| | - Miguel Damas-Fuentes
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Department of Endocrinology, Virgen de la Victoria Hospital, Instituto de Investigación Biomédica de Málaga (IBIMA). University of Málaga, Málaga, Spain
| | - Zenaida Vázquez
- Department of Preventive Medicine and Public Health, University of Navarra, Pamplona, Spain
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
| | - Carlos Gómez-Martínez
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Universitat Rovira i Vigili, Department de Bioquímica i Biotecnología, Unitat de Nutrició Humana, Reus, Spain
- Institut d'Investigació Sanitària Pere i Virgili (IISPV), Hospital San Joan de Reus, Reus, Spain
| | - Carmen Saiz
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - Mireia Malcampo
- Cardiovascular Risk and Nutrition, Hospital del Mar Research Institute (IMIM), Barcelona, Spain
| | - Ana M Ortiz-Morales
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Córdoba, Córdoba, Spain
| | | | - Jesús García-Gavilan
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Universitat Rovira i Vigili, Department de Bioquímica i Biotecnología, Unitat de Nutrició Humana, Reus, Spain
- Institut d'Investigació Sanitària Pere i Virgili (IISPV), Hospital San Joan de Reus, Reus, Spain
| | - Itziar Abete
- IdiSNA, Navarra Institute for Health Research, Pamplona, Spain
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Department of Nutrition, Food Sciences, and Physiology, Center for Nutrition Research, University of Navarra, Pamplona, Spain
| | - Montserrat Fitó
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Cardiovascular Risk and Nutrition, Hospital del Mar Research Institute (IMIM), Barcelona, Spain
| | - Estefanía Toledo
- Department of Preventive Medicine and Public Health, University of Navarra, Pamplona, Spain
- IdiSNA, Navarra Institute for Health Research, Pamplona, Spain
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
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95
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Romero-Cabrera JL, García-Ríos A, Sotos-Prieto M, Quintana-Navarro G, Alcalá-Díaz JF, Martín-Piedra L, Torres-Peña JD, Luque RM, Yubero-Serrano EM, Delgado-Lista J, Katsiki N, Kales SN, López-Miranda J, Pérez-Martínez P. Adherence to a Mediterranean lifestyle improves metabolic status in coronary heart disease patients: A prospective analysis from the CORDIOPREV study. J Intern Med 2022; 293:574-588. [PMID: 36585892 DOI: 10.1111/joim.13602] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
BACKGROUND AND OBJECTIVES A Mediterranean lifestyle may prevent and mitigate cardiometabolic disorders. We explored whether adherence to a Mediterranean lifestyle was prospectively associated with the risk of metabolic syndrome (MetS) among coronary heart disease (CHD) patients. METHODS The Coronary Diet Intervention with Olive Oil and Cardiovascular Prevention (CORDIOPREV) study was an interventional diet study to compare a Mediterranean diet with a low-fat diet, in 1002 CHD patients. The Mediterranean lifestyle (MEDLIFE) index was used to assess adherence to a MEDLIFE at baseline, and after 5 years, in 851 participants from the CORDIOPREV study. Subjects were classified as having high (>13 points), moderate (12-13 points), and low (<12 points) adherence to the MEDLIFE. Multivariable logistic regression models were used to determine the association between MEDLIFE adherence and the risk of MetS development or reversal. RESULTS During the 5-year follow-up, CORDIOPREV participants with high adherence to MEDLIFE had a lower risk of MetS development (odds ratio [OR] 0.37, 95% confidence interval [CI] 0.19-0.75, p < 0.01) and a higher likelihood of reversing preexisting MetS (OR 2.08 CI 95% 1.11-3.91, p = 0.02) compared with participants in the low MEDLIFE adherence group. Each additional one-point increment in the MEDLIFE index was associated with a 24% lower risk of MetS development (OR 0.76, 95% CI 0.64-0.90, p < 0.01) and a 21% higher likelihood of reversing preexisting MetS (OR 1.21 CI 95% 1.04-1.41, p = 0.01). CONCLUSIONS Our results showed that greater adherence to a MEDLIFE reduced the risk of subsequent MetS development and increased the likelihood of reversing preexisting MetS among patients with CHD at baseline.
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Affiliation(s)
- Juan Luis Romero-Cabrera
- Lipids and Atherosclerosis Unit, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, Cordoba, Spain.,CIBEROBN (CIBER in Physiopathology of Obesity and Nutrition), Instituto de Salud Carlos III, Madrid, Spain.,Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Antonio García-Ríos
- Lipids and Atherosclerosis Unit, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, Cordoba, Spain.,CIBEROBN (CIBER in Physiopathology of Obesity and Nutrition), Instituto de Salud Carlos III, Madrid, Spain
| | - Mercedes Sotos-Prieto
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.,Department of Preventive Medicine and Public Health, School of Medicine, Autonomous University of Madrid, Hospital La Paz Institute for Health Research (IdiPAZ), Madrid, Spain.,CIBERESP (CIBER of Epidemiology and Public Health), Instituto de Salud Carlos III, Madrid, Spain
| | - Gracia Quintana-Navarro
- Lipids and Atherosclerosis Unit, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, Cordoba, Spain.,CIBEROBN (CIBER in Physiopathology of Obesity and Nutrition), Instituto de Salud Carlos III, Madrid, Spain
| | - Juan Francisco Alcalá-Díaz
- Lipids and Atherosclerosis Unit, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, Cordoba, Spain.,CIBEROBN (CIBER in Physiopathology of Obesity and Nutrition), Instituto de Salud Carlos III, Madrid, Spain
| | - Laura Martín-Piedra
- Lipids and Atherosclerosis Unit, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, Cordoba, Spain.,CIBEROBN (CIBER in Physiopathology of Obesity and Nutrition), Instituto de Salud Carlos III, Madrid, Spain
| | - José David Torres-Peña
- Lipids and Atherosclerosis Unit, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, Cordoba, Spain.,CIBEROBN (CIBER in Physiopathology of Obesity and Nutrition), Instituto de Salud Carlos III, Madrid, Spain
| | - Raúl M Luque
- CIBEROBN (CIBER in Physiopathology of Obesity and Nutrition), Instituto de Salud Carlos III, Madrid, Spain.,Department of Cell Biology, Phisiology and Immunology, University of Cordoba, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, Cordoba, Spain
| | - Elena María Yubero-Serrano
- Lipids and Atherosclerosis Unit, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, Cordoba, Spain.,CIBEROBN (CIBER in Physiopathology of Obesity and Nutrition), Instituto de Salud Carlos III, Madrid, Spain
| | - Javier Delgado-Lista
- Lipids and Atherosclerosis Unit, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, Cordoba, Spain.,CIBEROBN (CIBER in Physiopathology of Obesity and Nutrition), Instituto de Salud Carlos III, Madrid, Spain
| | - Niki Katsiki
- Department of Nutritional Sciences and Dietetics, International Hellenic University, Thessaloniki, Greece.,School of Medicine, European University Cyprus, Nicosia, Cyprus
| | - Stefanos N Kales
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.,Occupational Medicine, Cambridge Health Alliance/Harvard Medical School, Cambridge, Massachusetts, USA
| | - José López-Miranda
- Lipids and Atherosclerosis Unit, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, Cordoba, Spain.,CIBEROBN (CIBER in Physiopathology of Obesity and Nutrition), Instituto de Salud Carlos III, Madrid, Spain
| | - Pablo Pérez-Martínez
- Lipids and Atherosclerosis Unit, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, Cordoba, Spain.,CIBEROBN (CIBER in Physiopathology of Obesity and Nutrition), Instituto de Salud Carlos III, Madrid, Spain
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96
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Miguel-Berges ML, Fajó-Pascual M, Moreno LA, Campo M, Guerrero A, Olleta JL, Santolaria Blasco P, Santaliestra-Pasías AM. Effect of Lean Red Meat from Beef (Pirenaica Breed) Versus Lean White Meat Consumption on Diet Quality: A Randomized-Controlled Crossover Study in Healthy Young Adults. Nutrients 2022; 15:nu15010013. [PMID: 36615671 PMCID: PMC9823384 DOI: 10.3390/nu15010013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2022] [Revised: 12/07/2022] [Accepted: 12/16/2022] [Indexed: 12/24/2022] Open
Abstract
A randomized crossover study was carried out in three University accommodation halls. Participants consumed either beef (Pirenaica breed) (PB) or conventional chicken (CC) three times per week for an 8-week periods with their usual diet, each one separated by a 5-week wash out period. Dietary variables were recollected by the Food Frequency Questionnaire (FFQ), and the Diet Quality Index (DQI) was calculated. Forty-seven healthy adults were included (19.9 ± 1.75 years). The inclusion of both types of diets did not modify the components of the DQI, such as the diversity, equilibrium, adequacy and excess. However, when only the first period was analyzed, a significant decrease in the consumption of fruits and vegetables was observed in those participants who received the PB diet (intervention group). The CC diet (control group) significantly reduced the consumption of fish and eggs, total DQI, and DQI quality component. The expected effect was observed in the significant increment of consumption of red meat after the intervention period.
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Affiliation(s)
- Maria Luisa Miguel-Berges
- GENUD (Growth, Exercise, Nutrition and Development) Research Group, Facultad de Ciencias de la Salud, Universidad de Zaragoza, 50009 Zaragoza, Spain
- Instituto Agroalimentario de Aragón (IA2), 50013 Zaragoza, Spain
- Instituto de Investigación Sanitaria Aragón (IIS Aragón), 50009 Zaragoza, Spain
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, 28029 Madrid, Spain
| | - Marta Fajó-Pascual
- GENUD (Growth, Exercise, Nutrition and Development) Research Group, Facultad de Ciencias de la Salud, Universidad de Zaragoza, 50009 Zaragoza, Spain
- Instituto Agroalimentario de Aragón (IA2), 50013 Zaragoza, Spain
- Instituto de Investigación Sanitaria Aragón (IIS Aragón), 50009 Zaragoza, Spain
| | - Luis A. Moreno
- GENUD (Growth, Exercise, Nutrition and Development) Research Group, Facultad de Ciencias de la Salud, Universidad de Zaragoza, 50009 Zaragoza, Spain
- Instituto Agroalimentario de Aragón (IA2), 50013 Zaragoza, Spain
- Instituto de Investigación Sanitaria Aragón (IIS Aragón), 50009 Zaragoza, Spain
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, 28029 Madrid, Spain
- Correspondence: ; Tel.: +34-876-553756
| | - Marimar Campo
- Instituto Agroalimentario de Aragón (IA2), 50013 Zaragoza, Spain
- Departamento de Producción Animal y Ciencia de los Alimentos, Universidad de Zaragoza-CITA, C. de Miguel Servet 177, 50013 Zaragoza, Spain
| | - Ana Guerrero
- Departamento de Producción Animal y Ciencia de los Alimentos, Universidad de Zaragoza-CITA, C. de Miguel Servet 177, 50013 Zaragoza, Spain
| | - Jose Luis Olleta
- Instituto Agroalimentario de Aragón (IA2), 50013 Zaragoza, Spain
- Departamento de Producción Animal y Ciencia de los Alimentos, Universidad de Zaragoza-CITA, C. de Miguel Servet 177, 50013 Zaragoza, Spain
| | - Pilar Santolaria Blasco
- Departamento de Producción Animal y Ciencia de los Alimentos, Escuela Politécnica Superior de Huesca, Instituto Universitario Ciencias Ambientales, Universidad de Zaragoza, Ctra. Cuarte, 22004 Huesca, Spain
| | - Alba M. Santaliestra-Pasías
- GENUD (Growth, Exercise, Nutrition and Development) Research Group, Facultad de Ciencias de la Salud, Universidad de Zaragoza, 50009 Zaragoza, Spain
- Instituto Agroalimentario de Aragón (IA2), 50013 Zaragoza, Spain
- Instituto de Investigación Sanitaria Aragón (IIS Aragón), 50009 Zaragoza, Spain
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, 28029 Madrid, Spain
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97
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Díez-Ricote L, San-Cristobal R, Concejo MJ, Martínez-González MÁ, Corella D, Salas-Salvadó J, Goday A, Martínez JA, Alonso-Gómez ÁM, Wärnberg J, Vioque J, Romaguera D, López-Miranda J, Estruch R, Tinahones FJ, Lapetra J, Serra-Majem L, Bueno-Cavanillas A, Tur JA, Martín Sánchez V, Pintó X, Gaforio JJ, Matía-Martín P, Vidal J, Mas Fontao S, Ros E, Vázquez-Ruiz Z, Ortega-Azorín C, García-Gavilán JF, Malcampo M, Martínez-Urbistondo D, Tojal-Sierra L, García Rodríguez A, Gómez-Bellvert N, Chaplin A, García-Ríos A, Bernal-López RM, Santos-Lozano JM, Basterra-Gortari J, Sorlí JV, Murphy M, Gasulla G, Micó V, Salaverria-Lete I, Goñi Ochandorena E, Babio N, Herraiz X, Ordovás JM, Daimiel L. One-year longitudinal association between changes in dietary choline or betaine intake and cardiometabolic variables in the PREvención con DIeta MEDiterránea-Plus (PREDIMED-Plus) trial. Am J Clin Nutr 2022; 116:1565-1579. [PMID: 36124652 PMCID: PMC9761742 DOI: 10.1093/ajcn/nqac255] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2021] [Accepted: 09/09/2022] [Indexed: 02/01/2023] Open
Abstract
BACKGROUND Choline and betaine intakes have been related to cardiovascular health. OBJECTIVES We aimed to explore the relation between 1-y changes in dietary intake of choline or betaine and 1-y changes in cardiometabolic and renal function traits within the frame of the PREDIMED (PREvención con DIeta MEDiterránea)-Plus trial. METHODS We used baseline and 1-y follow-up data from 5613 participants (48.2% female and 51.8% male; mean ± SD age: 65.01 ± 4.91 y) to assess cardiometabolic traits, and 3367 participants to assess renal function, of the Spanish PREDIMED-Plus trial. Participants met ≥3 criteria of metabolic syndrome and had overweight or obesity [BMI (in kg/m2) ≥27 and ≤40]. These criteria were similar to those of the PREDIMED parent study. Dietary intakes of choline and betaine were estimated from the FFQ. RESULTS The greatest 1-y increase in dietary choline or betaine intake (quartile 4) was associated with improved serum glucose concentrations (-3.39 and -2.72 mg/dL for choline and betaine, respectively) and HbA1c levels (-0.10% for quartile 4 of either choline or betaine intake increase). Other significant changes associated with the greatest increase in choline or betaine intake were reduced body weight (-2.93 and -2.78 kg, respectively), BMI (-1.05 and -0.99, respectively), waist circumference (-3.37 and -3.26 cm, respectively), total cholesterol (-4.74 and -4.52 mg/dL, respectively), and LDL cholesterol (-4.30 and -4.16 mg/dL, respectively). Urine creatinine was reduced in quartile 4 of 1-y increase in choline or betaine intake (-5.42 and -5.74 mg/dL, respectively). CONCLUSIONS Increases in dietary choline or betaine intakes were longitudinally related to improvements in cardiometabolic parameters. Markers of renal function were also slightly improved, and they require further investigation.This trial was registered at https://www.isrctn.com/ as ISRCTN89898870.
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Affiliation(s)
- Laura Díez-Ricote
- Nutritional Control of the Epigenome Group, Precision Nutrition and Obesity Program, IMDEA Food, CEI UAM + CSIC, Madrid, Spain
| | - Rodrigo San-Cristobal
- Cardiometabolic Health Group, Precision Nutrition and Cardiometabolic Health Program, IMDEA Food, CEI UAM + CSIC, Madrid, Spain
| | | | - Miguel Á Martínez-González
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Department of Preventive Medicine and Public Health, Navarra Institute of Health Research (IdISNA), University of Navarra, Pamplona, Spain
- Department of Nutrition, Harvard TH Chan School of Public Health, Boston, MA, USA
| | - Dolores Corella
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - Jordi Salas-Salvadó
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Universitat Rovira i Virgili, Departament of Biochemistry and Biotechnology, Human Nutrition Unit, Reus, Spain
- Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
- Nutrition Unit, University Hospital of Sant Joan de Reus, Reus, Spain
- Unit of Preventive Medicine & Public Health, Faculty of Medicine & Health Sciences, Universitat Rovira i Virgili, Reus, Spain
| | - Albert Goday
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar d`Investigació Médica (IMIM), Barcelona, Spain
- Department of Medicine, Universitat Autonoma de Barcelona, Barcelona, Spain
| | - J Alfredo Martínez
- Cardiometabolic Health Group, Precision Nutrition and Cardiometabolic Health Program, IMDEA Food, CEI UAM + CSIC, Madrid, Spain
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Center for Nutrition Research, Department of Nutrition, Food Sciences, and Physiology, University of Navarra, Pamplona, Spain
| | - Ángel M Alonso-Gómez
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Cardiovascular, Respiratory and Metabolic Area, Bioaraba Health Research Institute; Araba University Hospital, Osakidetza Basque Health Service; University of the Basque Country UPV/EHU, Vitoria-Gasteiz, Spain
| | - Julia Wärnberg
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Department of Nursing, University of Málaga, Institute of Biomedical Research in Malaga (IBIMA), Málaga, Spain
| | - Jesús Vioque
- CIBER de Epidemiología y Salud Pública (CIBERESP), Carlos III Institute of Health (ISCIII), Madrid, Spain
- Institute of Health and Biomedical Research of Alicante, Miguel Hernández University (ISABIAL-UMH), Alicante, Spain
| | - Dora Romaguera
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Research Group on Nutritional Epidemiology & Cardiovascular Physiopathology, Health Research Institute of the Balearic Islands (IdISBa), Palma de Mallorca, Spain
| | - José López-Miranda
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, Cordoba, Spain
| | - Ramon Estruch
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Department of Internal Medicine, Institut d’Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - Francisco J Tinahones
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Department of Endocrinology, Virgen de la Victoria Hospital, Málaga Biomedical Research Institute (IBIMA), University of Málaga, Málaga, Spain
| | - José Lapetra
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Research Unit, Department of Family Medicine, Sevilla Primary Care Health District, Sevilla, Spain
| | - Lluís Serra-Majem
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Research Institute of Biomedical and Health Sciences (IUIBS), University of Las Palmas de Gran Canaria and Maternal and Child Insular University Hospital Center (CHUIMI), Canarian Health Service, Las Palmas de Gran Canaria, Spain
| | - Aurora Bueno-Cavanillas
- CIBER de Epidemiología y Salud Pública (CIBERESP), Carlos III Institute of Health (ISCIII), Madrid, Spain
- Department of Preventive Medicine and Public Health, University of Granada, Granada, Spain
| | - Josep A Tur
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Research Group on Community Nutrition & Oxidative Stress, University of the Balearic Islands, Palma de Mallorca, Spain
| | - Vicente Martín Sánchez
- CIBER de Epidemiología y Salud Pública (CIBERESP), Carlos III Institute of Health (ISCIII), Madrid, Spain
- Institute of Biomedicine (IBIOMED), University of León, León, Spain
| | - Xavier Pintó
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Lipids and Vascular Risk Unit, Internal Medicine, Bellvitge University Hospital, Barcelona, Spain
| | - José J Gaforio
- CIBER de Epidemiología y Salud Pública (CIBERESP), Carlos III Institute of Health (ISCIII), Madrid, Spain
- Department of Health Sciences, University Institute for Research on Olives and Olive Oils, University of Jaén, Jaén, Spain
| | - Pilar Matía-Martín
- Department of Endocrinology and Nutrition, San Carlos Clinical Hospital Institute of Health Research (IdISSC), Madrid, Spain
| | - Josep Vidal
- CIBER Diabetes y Enfermedades Metabólicas (CIBERDEM), Carlos III Institute of Health (ISCIII), Madrid, Spain
- Department of Endocrinology, Institut d` Investigacions Biomédiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - Sebastián Mas Fontao
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Department of Endocrinology and Nutrition, Jimenez Díaz Foundation Hospital Biomedical Research Institute (IISFJD), Autonomous University of Madrid, Madrid, Spain
| | - Emilio Ros
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Lipid Clinic, Department of Endocrinology and Nutrition, Institut d’Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clínic, Barcelona, Spain
| | - Zenaida Vázquez-Ruiz
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Department of Preventive Medicine and Public Health, Navarra Institute of Health Research (IdISNA), University of Navarra, Pamplona, Spain
- Endocrinology Service, Navarra Hospital Complex, Osasunbidea, Navarro Health Service, Pamplona, Spain
| | - Carolina Ortega-Azorín
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - Jesús F García-Gavilán
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Universitat Rovira i Virgili, Departament of Biochemistry and Biotechnology, Human Nutrition Unit, Reus, Spain
- Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
- Nutrition Unit, University Hospital of Sant Joan de Reus, Reus, Spain
| | - Mireia Malcampo
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar d`Investigació Médica (IMIM), Barcelona, Spain
| | | | - Lucas Tojal-Sierra
- Cardiovascular, Respiratory and Metabolic Area, Bioaraba Health Research Institute; Araba University Hospital, Osakidetza Basque Health Service; University of the Basque Country UPV/EHU, Vitoria-Gasteiz, Spain
| | - Antonio García Rodríguez
- Division of Preventive Medicine and Public Health, University of Malaga, Institute of Biomedical Research in Málaga (IBIMA-University of Malaga), Málaga, Spain
| | | | - Alice Chaplin
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Research Group on Nutritional Epidemiology & Cardiovascular Physiopathology, Health Research Institute of the Balearic Islands (IdISBa), Palma de Mallorca, Spain
| | - Antonio García-Ríos
- Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, Cordoba, Spain
| | - Rosa M Bernal-López
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Department of Endocrinology, Virgen de la Victoria Hospital, Málaga Biomedical Research Institute (IBIMA), University of Málaga, Málaga, Spain
| | - José M Santos-Lozano
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Research Unit, Department of Family Medicine, Sevilla Primary Care Health District, Sevilla, Spain
| | - Javier Basterra-Gortari
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Department of Preventive Medicine and Public Health, Navarra Institute of Health Research (IdISNA), University of Navarra, Pamplona, Spain
- Endocrinology Service, Navarra Hospital Complex, Osasunbidea, Navarro Health Service, Pamplona, Spain
| | - José V Sorlí
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - Michelle Murphy
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Universitat Rovira i Virgili, Departament of Biochemistry and Biotechnology, Human Nutrition Unit, Reus, Spain
- Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
- Nutrition Unit, University Hospital of Sant Joan de Reus, Reus, Spain
| | - Griselda Gasulla
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar d`Investigació Médica (IMIM), Barcelona, Spain
| | - Víctor Micó
- Cardiometabolic Health Group, Precision Nutrition and Cardiometabolic Health Program, IMDEA Food, CEI UAM + CSIC, Madrid, Spain
| | - Itziar Salaverria-Lete
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Cardiovascular, Respiratory and Metabolic Area, Bioaraba Health Research Institute; Araba University Hospital, Osakidetza Basque Health Service; University of the Basque Country UPV/EHU, Vitoria-Gasteiz, Spain
| | - Estibaliz Goñi Ochandorena
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Department of Preventive Medicine and Public Health, Navarra Institute of Health Research (IdISNA), University of Navarra, Pamplona, Spain
| | - Nancy Babio
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Universitat Rovira i Virgili, Departament of Biochemistry and Biotechnology, Human Nutrition Unit, Reus, Spain
- Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
- Nutrition Unit, University Hospital of Sant Joan de Reus, Reus, Spain
| | - Xavier Herraiz
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar d`Investigació Médica (IMIM), Barcelona, Spain
| | - José M Ordovás
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Nutritional Genomics and Epigenomics Group, Precision Nutrition and Obesity Program, IMDEA Food, CEI UAM + CSIC, Madrid, Spain
- Nutrition and Genomics Laboratory, Jean Mayer USDA Human Nutrition Research Center on Aging, Tufts University, Boston, MA, USA
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98
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Cardelo MP, Corina A, Leon-Acuña A, Quintana-Navarro GM, Alcala-Diaz JF, Rangel-Zuñiga OA, Camargo A, Conde-Gavilan C, Carmona-Medialdea C, Vallejo-Casas JA, Carmona-Asenjo E, Ochoa-Sepulveda JJ, Aguera-Morales E, Delgado-Lista J, Katsiki N, Lopez-Miranda J, Perez-Jimenez F, Yubero-Serrano EM, Perez-Martínez P. Effect of the Mediterranean diet and probiotic supplementation in the management of mild cognitive impairment: Rationale, methods, and baseline characteristics. Front Nutr 2022; 9:1037842. [PMID: 36570150 PMCID: PMC9773830 DOI: 10.3389/fnut.2022.1037842] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2022] [Accepted: 11/22/2022] [Indexed: 12/14/2022] Open
Abstract
Introduction Mild cognitive impairment (MCI) can progress to Alzheimer's disease (AD). When MCI is not properly controlled, the speed of deterioration can dramatically increase. Reduction of oxidative stress/inflammation and the modulation of the gut-brain axis could be new potential therapeutic targets for the prevention and treatment of AD. Consumption of specific nutrients, diets and probiotic supplementation have been evaluated for neurodegenerative disorders. We focus on a detailed description of the study methods and baseline characteristics of a clinical trial aiming to evaluate the efficacy of a combined nutritional intervention, i.e., a Mediterranean diet with probiotics, on cognitive capacity in a population with MCI. Methods In this randomized, latin-square crossover, double-blind, and controlled dietary intervention trial (clinicaltrials.gov NCT05029765), 47 MCI patients were randomized to consume three dietary interventions for 24-weeks each: (1) A Mediterranean diet supplemented with probiotics (109 colony-forming units of Lactobacillus rhamnosus and Bifidobacterium longum); (2) A Mediterranean diet + placebo; and (3) A Healthy diet according to the World Health Organization (WHO) recommendations. Participants will be evaluated before and after each of the three intervention periods (each 24-weeks, with a total of 72-weeks) for adherence to the assigned diet, blood tests, cognitive performance, gut microbiota analysis and functional neuroimaging studies. Results Fifty patients, ≥60 years-old and diagnosed with MCI, underwent randomization. A total of 47 patients completed follow-up dietary interventions (57.4% males), with a good glycemic control (HbA1c 5.8 ± 0.1%, fasting glucose and insulin 99.7 ± 3.3 mg/dL and 10.4 ± 0.9 mU/L, respectively), elevated systolic blood pressure (136.9 ± 2.1 mmHg) and increased degree of inflammation (high-sensitivity C-reactive protein, 8.8 ± 0.9 mg/dL). Baseline adherence to the Mediterranean diet was medium (7.5 ± 0.3 points on the score that ranged from 0 to 14 points). Conclusion The results of this clinical study would provide more evidence on the need for dietary therapeutic strategies, for clinical and individual practice, in the management of MCI patients to reduce the risk of AD development. Targeting lifestyle modifications in high-risk populations could prevent substantial cases of cognitive decline. Clinical trial registration [ClinicalTrials.gov], identifier [NCT05029765].
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Affiliation(s)
- Magdalena P. Cardelo
- Unidad de Gestión Clinica Medicina Interna, Lipids and Atherosclerosis Unit, Maimonides Institute for Biomedical Research in Córdoba (IMIBIC), Reina Sofía University Hospital, University of Córdoba, Córdoba, Spain,CIBER Physiopathology of Obesity and Nutrition (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
| | - Andreea Corina
- Unidad de Gestión Clinica Medicina Interna, Lipids and Atherosclerosis Unit, Maimonides Institute for Biomedical Research in Córdoba (IMIBIC), Reina Sofía University Hospital, University of Córdoba, Córdoba, Spain,CIBER Physiopathology of Obesity and Nutrition (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
| | - Ana Leon-Acuña
- Unidad de Gestión Clinica Medicina Interna, Lipids and Atherosclerosis Unit, Maimonides Institute for Biomedical Research in Córdoba (IMIBIC), Reina Sofía University Hospital, University of Córdoba, Córdoba, Spain,CIBER Physiopathology of Obesity and Nutrition (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
| | - Gracia M. Quintana-Navarro
- Unidad de Gestión Clinica Medicina Interna, Lipids and Atherosclerosis Unit, Maimonides Institute for Biomedical Research in Córdoba (IMIBIC), Reina Sofía University Hospital, University of Córdoba, Córdoba, Spain,CIBER Physiopathology of Obesity and Nutrition (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
| | - Juan F. Alcala-Diaz
- Unidad de Gestión Clinica Medicina Interna, Lipids and Atherosclerosis Unit, Maimonides Institute for Biomedical Research in Córdoba (IMIBIC), Reina Sofía University Hospital, University of Córdoba, Córdoba, Spain,CIBER Physiopathology of Obesity and Nutrition (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
| | - Oriol Alberto Rangel-Zuñiga
- Unidad de Gestión Clinica Medicina Interna, Lipids and Atherosclerosis Unit, Maimonides Institute for Biomedical Research in Córdoba (IMIBIC), Reina Sofía University Hospital, University of Córdoba, Córdoba, Spain,CIBER Physiopathology of Obesity and Nutrition (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
| | - Antonio Camargo
- Unidad de Gestión Clinica Medicina Interna, Lipids and Atherosclerosis Unit, Maimonides Institute for Biomedical Research in Córdoba (IMIBIC), Reina Sofía University Hospital, University of Córdoba, Córdoba, Spain,CIBER Physiopathology of Obesity and Nutrition (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
| | - Cristina Conde-Gavilan
- Neurology Service, Maimonides Institute for Biomedical Research in Córdoba (IMIBIC), Reina Sofía University Hospital, Córdoba, Spain
| | - Claudia Carmona-Medialdea
- Neurology Service, Maimonides Institute for Biomedical Research in Córdoba (IMIBIC), Reina Sofía University Hospital, Córdoba, Spain
| | - Juan A. Vallejo-Casas
- Unidad de Gestión Clinica de Medicina Nuclear, Maimonides Institute for Biomedical Research in Córdoba (IMIBIC), Reina Sofía University Hospital, Córdoba, Spain
| | - Elvira Carmona-Asenjo
- Unidad de Gestión Clinica de Medicina Nuclear, Maimonides Institute for Biomedical Research in Córdoba (IMIBIC), Reina Sofía University Hospital, Córdoba, Spain
| | - Juan J. Ochoa-Sepulveda
- Neurology Service, Maimonides Institute for Biomedical Research in Córdoba (IMIBIC), Reina Sofía University Hospital, Córdoba, Spain
| | - Eduardo Aguera-Morales
- Neurology Service, Maimonides Institute for Biomedical Research in Córdoba (IMIBIC), Reina Sofía University Hospital, Córdoba, Spain
| | - Javier Delgado-Lista
- Unidad de Gestión Clinica Medicina Interna, Lipids and Atherosclerosis Unit, Maimonides Institute for Biomedical Research in Córdoba (IMIBIC), Reina Sofía University Hospital, University of Córdoba, Córdoba, Spain,CIBER Physiopathology of Obesity and Nutrition (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
| | - Niki Katsiki
- Department of Nutritional Sciences and Dietetics, International Hellenic University, Thessaloniki, Greece,School of Medicine, European University Cyprus, Nicosia, Cyprus
| | - José Lopez-Miranda
- Unidad de Gestión Clinica Medicina Interna, Lipids and Atherosclerosis Unit, Maimonides Institute for Biomedical Research in Córdoba (IMIBIC), Reina Sofía University Hospital, University of Córdoba, Córdoba, Spain,CIBER Physiopathology of Obesity and Nutrition (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
| | - Francisco Perez-Jimenez
- Unidad de Gestión Clinica Medicina Interna, Lipids and Atherosclerosis Unit, Maimonides Institute for Biomedical Research in Córdoba (IMIBIC), Reina Sofía University Hospital, University of Córdoba, Córdoba, Spain,CIBER Physiopathology of Obesity and Nutrition (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
| | - Elena M. Yubero-Serrano
- Unidad de Gestión Clinica Medicina Interna, Lipids and Atherosclerosis Unit, Maimonides Institute for Biomedical Research in Córdoba (IMIBIC), Reina Sofía University Hospital, University of Córdoba, Córdoba, Spain,CIBER Physiopathology of Obesity and Nutrition (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
| | - Pablo Perez-Martínez
- Unidad de Gestión Clinica Medicina Interna, Lipids and Atherosclerosis Unit, Maimonides Institute for Biomedical Research in Córdoba (IMIBIC), Reina Sofía University Hospital, University of Córdoba, Córdoba, Spain,CIBER Physiopathology of Obesity and Nutrition (CIBEROBN), Institute of Health Carlos III, Madrid, Spain,*Correspondence: Pablo Perez-Martínez,
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99
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García-Gavilán J, Nishi S, Paz-Graniel I, Guasch-Ferré M, Razquin C, Clish CB, Toledo E, Ruiz-Canela M, Corella D, Deik A, Drouin-Chartier JP, Wittenbecher C, Babio N, Estruch R, Ros E, Fitó M, Arós F, Fiol M, Serra-Majem L, Liang L, Martínez-González MA, Hu FB, Salas-Salvadó J. Plasma Metabolite Profiles Associated with the Amount and Source of Meat and Fish Consumption and the Risk of Type 2 Diabetes. Mol Nutr Food Res 2022; 66:e2200145. [PMID: 36214069 PMCID: PMC9722604 DOI: 10.1002/mnfr.202200145] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2022] [Revised: 09/12/2022] [Indexed: 01/18/2023]
Abstract
SCOPE Consumption of meat has been associated with a higher risk of type 2 diabetes (T2D), but if plasma metabolite profiles associated with these foods reflect this relationship is unknown. The objective is to identify a metabolite signature of consumption of total meat (TM), red meat (RM), processed red meat (PRM), and fish and examine if they are associated with T2D risk. METHODS AND RESULTS The discovery population includes 1833 participants from the PREDIMED trial. The internal validation sample includes 1522 participants with available 1-year follow-up metabolomic data. Associations between metabolites and TM, RM, PRM, and fish are evaluated with elastic net regression. Associations between the profiles and incident T2D are estimated using Cox regressions. The profiles included 72 metabolites for TM, 69 for RM, 74 for PRM, and 66 for fish. After adjusting for T2D risk factors, only profiles of TM (Hazard Ratio (HR): 1.25, 95% CI: 1.06-1.49), RM (HR: 1.27, 95% CI: 1.07-1.52), and PRM (HR: 1.27, 95% CI: 1.07-1.51) are associated with T2D. CONCLUSIONS The consumption of TM, its subtypes, and fish is associated with different metabolites, some of which have been previously associated with T2D. Scores based on the identified metabolites for TM, RM, and PRM show a significant association with T2D risk.
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Affiliation(s)
- Jesús García-Gavilán
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana. Hospital Universitari San Joan de Reus, Reus, Spain,Institut d’Investigació Sanitària Pere Virgili (IISPV), Reus, Spain,Consorcio CIBER, Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Stephanie Nishi
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana. Hospital Universitari San Joan de Reus, Reus, Spain,Institut d’Investigació Sanitària Pere Virgili (IISPV), Reus, Spain,Consorcio CIBER, Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain,Toronto 3D (Diet, Digestive Tract and Disease) Knowledge Synthesis and Clinical Trials Unit, Toronto, ON, Canada,Clinical Nutrition and Risk Factor Modification Centre, St. Michael’s Hospital, Unity Health Toronto, ON, Canada
| | - Indira Paz-Graniel
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana. Hospital Universitari San Joan de Reus, Reus, Spain,Institut d’Investigació Sanitària Pere Virgili (IISPV), Reus, Spain,Consorcio CIBER, Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Marta Guasch-Ferré
- Department of Nutrition, Harvard TH Chan School of Public Health, Boston, MA, USA,Channing Division for Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
| | - Cristina Razquin
- Consorcio CIBER, Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain,Department of Preventive Medicine and Public Health, Navarra Health Research Institute (IDISNA), University of Navarra, Pamplona, Spain
| | | | - Estefanía Toledo
- Consorcio CIBER, Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain,Department of Preventive Medicine and Public Health, Navarra Health Research Institute (IDISNA), University of Navarra, Pamplona, Spain
| | - Miguel Ruiz-Canela
- Consorcio CIBER, Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain,Department of Preventive Medicine and Public Health, Navarra Health Research Institute (IDISNA), University of Navarra, Pamplona, Spain
| | - Dolores Corella
- Consorcio CIBER, Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain,Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - Amy Deik
- The Broad Institute of Harvard and MIT, Boston, MA, USA
| | - Jean-Philippe Drouin-Chartier
- Centre Nutrition, Santé et Société, Institut sur la Nutrition et les Aliments Fonctionnels, Faculté de Pharmacie, Université Laval, Québec, Canada
| | - Clemens Wittenbecher
- Toronto 3D (Diet, Digestive Tract and Disease) Knowledge Synthesis and Clinical Trials Unit, Toronto, ON, Canada,Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany,German Center for Diabetes Research, Neuherberg, Germany
| | - Nancy Babio
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana. Hospital Universitari San Joan de Reus, Reus, Spain,Institut d’Investigació Sanitària Pere Virgili (IISPV), Reus, Spain,Consorcio CIBER, Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Ramon Estruch
- Consorcio CIBER, Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain,Department of Internal Medicine, Institut d’Investigacions Biomèdiques August Pi Sunyer, Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - Emilio Ros
- Consorcio CIBER, Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain,Lipid Clinic, Department of Endocrinology and Nutrition, Agust Pi i Sunyer Biomedical Research Institute (IDIBAPS), Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - Montserrat Fitó
- Consorcio CIBER, Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain,Cardiovascular and Nutrition Research Group, Institut de Recerca Hospital del Mar, Barcelona, Spain
| | - Fernando Arós
- Consorcio CIBER, Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain,Department of Cardiology, University Hospital of Alava, Vitoria, Spain
| | - Miquel Fiol
- Consorcio CIBER, Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain,Institute of Health Sciences IUNICS, University of Balearic Islands and Hospital Son Espases, Palma de Mallorca, Spain
| | - Lluís Serra-Majem
- Consorcio CIBER, Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain,Research Institute of Biomedical and Health Sciences IUIBS, University of Las Palmas de Gran Canaria, Las Palmas, Spain
| | - Liming Liang
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, 02115, USA,Department of Statistics, Harvard T. H. Chan School of Public Health, Boston, MA, 02115, USA
| | - Miguel A Martínez-González
- Consorcio CIBER, Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain,Department of Nutrition, Harvard TH Chan School of Public Health, Boston, MA, USA,Department of Preventive Medicine and Public Health, Navarra Health Research Institute (IDISNA), University of Navarra, Pamplona, Spain
| | - Frank B Hu
- Department of Nutrition, Harvard TH Chan School of Public Health, Boston, MA, USA,Channing Division for Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA,Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, 02115, USA
| | - Jordi Salas-Salvadó
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana. Hospital Universitari San Joan de Reus, Reus, Spain,Institut d’Investigació Sanitària Pere Virgili (IISPV), Reus, Spain,Consorcio CIBER, Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
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100
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Soldevila-Domenech N, Pastor A, Sala-Vila A, Lázaro I, Boronat A, Muñoz D, Castañer O, Fagundo B, Corella D, Fernández-Aranda F, Martínez-González MÁ, Salas-Salvadó J, Fitó M, de la Torre R. Sex differences in endocannabinoids during 3 years of Mediterranean diet intervention: Association with insulin resistance and weight loss in a population with metabolic syndrome. Front Nutr 2022; 9:1076677. [PMID: 36532543 DOI: 10.3389/fnut.2022.1076677] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2022] [Accepted: 11/17/2022] [Indexed: 12/05/2022] Open
Abstract
BackgroundExcess circulating endocannabinoids (eCBs) and imbalanced N-acylethanolamines (NAEs) related eCBs abundance could influence dietary weight loss success. We aimed to examine sex differences in the impact of a 3-years Mediterranean diet (MedDiet) intervention on circulating eCBs, NAEs and their precursor fatty acids, and to analyze the interplay between changes in eCBs or NAEs ratios, insulin resistance and the achievement of clinically meaningful weight reductions.MethodsProspective cohort study in a subsample of N = 105 participants (54.3% women; 65.6 ± 4.6 years) with overweight or obesity and metabolic syndrome that underwent a 3-years MedDiet intervention (PREDIMED-Plus study). Plasma eCBs and NAEs, including 2-arachidonoylglycerol (2-AG), anandamide (AEA), oleoylethanolamide (OEA) and palmitoylethanolamide (PEA), fatty acids, diet, glycemic homeostasis (including the assessment of insulin resistance-HOMA-IR), and cardiovascular risk markers were monitored (at 0-6-12-36 months).ResultsMediterranean diet adherence increased in both sexes and remained high during the 3 years of follow-up. Reductions in body weight, glycemic and cardiovascular parameters were larger in men than in women. Women presented higher concentrations of NAEs than men throughout the study. In both sexes, AEA and other NAEs (including OEA, and PEA) decreased after 6 months (for AEA: −4.9%), whereas the ratio OEA/AEA increased after 1 year (+5.8%). Changes in 2-AG (−3.9%) and the ratio OEA/PEA (+8.2%) persisted over the 3 years of follow-up. In women, 6-months changes in AEA (OR = 0.65) and the ratio OEA/AEA (OR = 3.28) were associated with the achievement of 8% weight reductions and correlated with HOMA-IR changes (r = 0.29 and r = −0.34). In men, OEA/PEA changes were associated with 8% weight reductions (OR = 2.62) and correlated with HOMA-IR changes (r = −0.32).ConclusionA 3-years MedDiet intervention modulated plasma concentrations of eCBs and NAEs. Changes in AEA and in the relative abundance of NAEs were associated with clinically meaningful weight reductions. However, marked sex differences were identified in eCBs and NAEs, as well as in the efficacy of the intervention in terms of glycemic and cardiovascular parameters, which could be related to post-menopause alterations in glucose metabolism. These findings support a sex-balanced research strategy for a better understanding of the mechanisms underlying the regulation of body weight loss.
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Affiliation(s)
- Natalia Soldevila-Domenech
- Integrative Pharmacology and Systems Neurosciences Research Group, Neuroscience Research Program, Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain
- Department of Medicine and Life Sciences, Universitat Pompeu Fabra, Barcelona, Spain
| | - Antoni Pastor
- Integrative Pharmacology and Systems Neurosciences Research Group, Neuroscience Research Program, Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain
- CIBER Fisiopatología Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain
| | - Aleix Sala-Vila
- Cardiovascular Risk and Nutrition Research Group, Epidemiology and Public Health Program, Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain
- Fatty Acid Research Institute, Sioux Falls, SD, United States
| | - Iolanda Lázaro
- Cardiovascular Risk and Nutrition Research Group, Epidemiology and Public Health Program, Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain
| | - Anna Boronat
- Integrative Pharmacology and Systems Neurosciences Research Group, Neuroscience Research Program, Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain
| | - Daniel Muñoz
- Cardiovascular Risk and Nutrition Research Group, Epidemiology and Public Health Program, Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain
| | - Olga Castañer
- CIBER Fisiopatología Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain
- Cardiovascular Risk and Nutrition Research Group, Epidemiology and Public Health Program, Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain
- Endocrinology Service, Hospital del Mar, Barcelona, Spain
| | - Beatriz Fagundo
- Integrative Pharmacology and Systems Neurosciences Research Group, Neuroscience Research Program, Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain
- Department of Physiotherapy, Fundació Universitària del Bages, Manresa, Spain
| | - Dolores Corella
- CIBER Fisiopatología Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain
- Department of Preventive Medicine and Public Health, School of Medicine, University of Valencia, Valencia, Spain
| | - Fernando Fernández-Aranda
- CIBER Fisiopatología Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain
- Department of Psychiatry, University Hospital of Bellvitge-IDIBELL, Barcelona, Spain
- Department of Clinical Sciences, School of Medicine and Health Sciences, University of Barcelona, Barcelona, Spain
- Psychoneurobiology of Eating and Addictive Behaviours Group, Neuroscience Program, Institut d'Investigació Biomèdica de Bellvitge-IDIBELL, L'Hospitalet de Llobregat, Barcelona, Spain
| | - Miguel Ángel Martínez-González
- CIBER Fisiopatología Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain
- Department of Preventive Medicine and Public Health, University of Navarra, Pamplona, Spain
- Navarra's Health Research Institute (IdiSNA), Pamplona, Spain
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, United States
| | - Jordi Salas-Salvadó
- CIBER Fisiopatología Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana, Reus, Spain
- Institut d'Investigació Sanitària Pere Virgili, Hospital Universitari Sant Joan de Reus, Reus, Spain
| | - Montserrat Fitó
- CIBER Fisiopatología Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain
- Cardiovascular Risk and Nutrition Research Group, Epidemiology and Public Health Program, Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain
| | - Rafael de la Torre
- Integrative Pharmacology and Systems Neurosciences Research Group, Neuroscience Research Program, Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain
- Department of Medicine and Life Sciences, Universitat Pompeu Fabra, Barcelona, Spain
- CIBER Fisiopatología Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain
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