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Arnoriaga-Rodriguez M, Melero V, Barabash A, Valerio J, del Valle L, O’Connor RM, de Miguel P, Diaz JA, Familiar C, Moraga I, Duran A, Jimenez I, Cuesta M, Torrejon MJ, Martinez-Novillo M, Runkle I, Pazos M, Rubio MA, Matia-Martín P, Calle-Pascual AL. Modifiable Risk Factors and Trends in Changes in Glucose Regulation during the First Three Years Postdelivery: The St Carlos Gestational Diabetes Mellitus Prevention Cohort. Nutrients 2023; 15:4995. [PMID: 38068853 PMCID: PMC10707889 DOI: 10.3390/nu15234995] [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: 10/26/2023] [Revised: 11/18/2023] [Accepted: 11/29/2023] [Indexed: 12/18/2023] Open
Abstract
OBJECTIVE Evaluation of the influence of potential risk factors (RFs) on glycemic changes at 3 years postpartum. METHODS The glycemic status of 1400 women, in absence of a new pregnancy, was evaluated at 3 months (3 m) and 3 years (3 y) postpartum, after participation in the St. Carlos Gestational Study (2228 normoglycemic pregnant women followed from before gestational week 12 to delivery, from 2015-2017). Abnormal glucose regulation (AGR) was defined as fasting serum glucose ≥ 100 mg/dL and/or HbA1c ≥ 5.7% and/or 2 h 75 g OGTT glucose ≥ 140 mg/dL. In total, 12 modifiable and 3 unmodifiable RFs were analyzed. RESULTS 3 m postpartum, 110/1400 (7.9%) women had AGR; 3 y postpartum, 137 (9.8%) women exhibited AGR (110 with 3 m normal glucose tolerance [NGT]); 1263 (90.2%) had NGT (83 with 3 m AGR). More women with gestational diabetes mellitus (GDM) progressed to AGR at 3 y (OR: 1.60 [1.33-1.92]) than women without GDM. Yet, most women with 3 m and/or 3 y AGR had no GDM history. Having ≥2 unmodifiable RFs was associated with increased risk for progression to AGR (OR: 1.90 [1.28-2.83]) at 3 y postpartum. Having >5/12 modifiable RFs was associated with increased progression from NGT to AGR (OR: 1.40 [1.00-2.09]) and AGR persistence (OR: 2.57 [1.05-6.31]). Pregestational BMI ≥ 25 kg/m2 (OR: 0.59 [0.41-0.85]), postdelivery weight gain (OR: 0.53 [0.29-0.94]), and waist circumference > 89.5 cm (OR: 0.54 [0.36-0.79]) reduced the likelihood of NGT persisting at 3 y. CONCLUSIONS 3-month and/or 3-year postpartum AGR can be detected if sought in women with no prior GDM. Modifiable and unmodifiable RF predictors of AGR at 3 y postpartum were identified. Universal screening for glycemic alterations should be considered in all women following delivery, regardless of prior GDM. These findings could be useful to design personalized strategies in women with risk factors for 3 y AGR.
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Affiliation(s)
- Maria Arnoriaga-Rodriguez
- Endocrinology and Nutrition Department, Hospital Clínico Universitario San Carlos, Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), 28040 Madrid, Spain; (M.A.-R.); (V.M.); (A.B.); (J.V.); (L.d.V.); (R.M.O.); (P.d.M.); (J.A.D.); (C.F.); (I.M.); (A.D.); (I.J.); (M.C.); (I.R.); (M.P.); (M.A.R.)
| | - Verónica Melero
- Endocrinology and Nutrition Department, Hospital Clínico Universitario San Carlos, Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), 28040 Madrid, Spain; (M.A.-R.); (V.M.); (A.B.); (J.V.); (L.d.V.); (R.M.O.); (P.d.M.); (J.A.D.); (C.F.); (I.M.); (A.D.); (I.J.); (M.C.); (I.R.); (M.P.); (M.A.R.)
| | - Ana Barabash
- Endocrinology and Nutrition Department, Hospital Clínico Universitario San Carlos, Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), 28040 Madrid, Spain; (M.A.-R.); (V.M.); (A.B.); (J.V.); (L.d.V.); (R.M.O.); (P.d.M.); (J.A.D.); (C.F.); (I.M.); (A.D.); (I.J.); (M.C.); (I.R.); (M.P.); (M.A.R.)
- UCM School of Medicine, Medicina II Department, Universidad Complutense de Madrid, 28040 Madrid, Spain
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), 28029 Madrid, Spain
| | - Johanna Valerio
- Endocrinology and Nutrition Department, Hospital Clínico Universitario San Carlos, Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), 28040 Madrid, Spain; (M.A.-R.); (V.M.); (A.B.); (J.V.); (L.d.V.); (R.M.O.); (P.d.M.); (J.A.D.); (C.F.); (I.M.); (A.D.); (I.J.); (M.C.); (I.R.); (M.P.); (M.A.R.)
| | - Laura del Valle
- Endocrinology and Nutrition Department, Hospital Clínico Universitario San Carlos, Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), 28040 Madrid, Spain; (M.A.-R.); (V.M.); (A.B.); (J.V.); (L.d.V.); (R.M.O.); (P.d.M.); (J.A.D.); (C.F.); (I.M.); (A.D.); (I.J.); (M.C.); (I.R.); (M.P.); (M.A.R.)
| | - Rocio Martin O’Connor
- Endocrinology and Nutrition Department, Hospital Clínico Universitario San Carlos, Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), 28040 Madrid, Spain; (M.A.-R.); (V.M.); (A.B.); (J.V.); (L.d.V.); (R.M.O.); (P.d.M.); (J.A.D.); (C.F.); (I.M.); (A.D.); (I.J.); (M.C.); (I.R.); (M.P.); (M.A.R.)
| | - Paz de Miguel
- Endocrinology and Nutrition Department, Hospital Clínico Universitario San Carlos, Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), 28040 Madrid, Spain; (M.A.-R.); (V.M.); (A.B.); (J.V.); (L.d.V.); (R.M.O.); (P.d.M.); (J.A.D.); (C.F.); (I.M.); (A.D.); (I.J.); (M.C.); (I.R.); (M.P.); (M.A.R.)
- UCM School of Medicine, Medicina II Department, Universidad Complutense de Madrid, 28040 Madrid, Spain
| | - José A. Diaz
- Endocrinology and Nutrition Department, Hospital Clínico Universitario San Carlos, Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), 28040 Madrid, Spain; (M.A.-R.); (V.M.); (A.B.); (J.V.); (L.d.V.); (R.M.O.); (P.d.M.); (J.A.D.); (C.F.); (I.M.); (A.D.); (I.J.); (M.C.); (I.R.); (M.P.); (M.A.R.)
- UCM School of Medicine, Medicina II Department, Universidad Complutense de Madrid, 28040 Madrid, Spain
| | - Cristina Familiar
- Endocrinology and Nutrition Department, Hospital Clínico Universitario San Carlos, Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), 28040 Madrid, Spain; (M.A.-R.); (V.M.); (A.B.); (J.V.); (L.d.V.); (R.M.O.); (P.d.M.); (J.A.D.); (C.F.); (I.M.); (A.D.); (I.J.); (M.C.); (I.R.); (M.P.); (M.A.R.)
| | - Inmaculada Moraga
- Endocrinology and Nutrition Department, Hospital Clínico Universitario San Carlos, Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), 28040 Madrid, Spain; (M.A.-R.); (V.M.); (A.B.); (J.V.); (L.d.V.); (R.M.O.); (P.d.M.); (J.A.D.); (C.F.); (I.M.); (A.D.); (I.J.); (M.C.); (I.R.); (M.P.); (M.A.R.)
| | - Alejandra Duran
- Endocrinology and Nutrition Department, Hospital Clínico Universitario San Carlos, Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), 28040 Madrid, Spain; (M.A.-R.); (V.M.); (A.B.); (J.V.); (L.d.V.); (R.M.O.); (P.d.M.); (J.A.D.); (C.F.); (I.M.); (A.D.); (I.J.); (M.C.); (I.R.); (M.P.); (M.A.R.)
- UCM School of Medicine, Medicina II Department, Universidad Complutense de Madrid, 28040 Madrid, Spain
| | - Inés Jimenez
- Endocrinology and Nutrition Department, Hospital Clínico Universitario San Carlos, Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), 28040 Madrid, Spain; (M.A.-R.); (V.M.); (A.B.); (J.V.); (L.d.V.); (R.M.O.); (P.d.M.); (J.A.D.); (C.F.); (I.M.); (A.D.); (I.J.); (M.C.); (I.R.); (M.P.); (M.A.R.)
| | - Martín Cuesta
- Endocrinology and Nutrition Department, Hospital Clínico Universitario San Carlos, Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), 28040 Madrid, Spain; (M.A.-R.); (V.M.); (A.B.); (J.V.); (L.d.V.); (R.M.O.); (P.d.M.); (J.A.D.); (C.F.); (I.M.); (A.D.); (I.J.); (M.C.); (I.R.); (M.P.); (M.A.R.)
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), 28029 Madrid, Spain
| | - María José Torrejon
- Clinical Laboratory Department, Hospital Clínico Universitario San Carlos, Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), 28040 Madrid, Spain; (M.J.T.); (M.M.-N.)
| | - Mercedes Martinez-Novillo
- Clinical Laboratory Department, Hospital Clínico Universitario San Carlos, Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), 28040 Madrid, Spain; (M.J.T.); (M.M.-N.)
| | - Isabelle Runkle
- Endocrinology and Nutrition Department, Hospital Clínico Universitario San Carlos, Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), 28040 Madrid, Spain; (M.A.-R.); (V.M.); (A.B.); (J.V.); (L.d.V.); (R.M.O.); (P.d.M.); (J.A.D.); (C.F.); (I.M.); (A.D.); (I.J.); (M.C.); (I.R.); (M.P.); (M.A.R.)
- UCM School of Medicine, Medicina II Department, Universidad Complutense de Madrid, 28040 Madrid, Spain
| | - Mario Pazos
- Endocrinology and Nutrition Department, Hospital Clínico Universitario San Carlos, Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), 28040 Madrid, Spain; (M.A.-R.); (V.M.); (A.B.); (J.V.); (L.d.V.); (R.M.O.); (P.d.M.); (J.A.D.); (C.F.); (I.M.); (A.D.); (I.J.); (M.C.); (I.R.); (M.P.); (M.A.R.)
| | - Miguel A. Rubio
- Endocrinology and Nutrition Department, Hospital Clínico Universitario San Carlos, Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), 28040 Madrid, Spain; (M.A.-R.); (V.M.); (A.B.); (J.V.); (L.d.V.); (R.M.O.); (P.d.M.); (J.A.D.); (C.F.); (I.M.); (A.D.); (I.J.); (M.C.); (I.R.); (M.P.); (M.A.R.)
- UCM School of Medicine, Medicina II Department, Universidad Complutense de Madrid, 28040 Madrid, Spain
| | - Pilar Matia-Martín
- Endocrinology and Nutrition Department, Hospital Clínico Universitario San Carlos, Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), 28040 Madrid, Spain; (M.A.-R.); (V.M.); (A.B.); (J.V.); (L.d.V.); (R.M.O.); (P.d.M.); (J.A.D.); (C.F.); (I.M.); (A.D.); (I.J.); (M.C.); (I.R.); (M.P.); (M.A.R.)
- UCM School of Medicine, Medicina II Department, Universidad Complutense de Madrid, 28040 Madrid, Spain
| | - Alfonso L. Calle-Pascual
- Endocrinology and Nutrition Department, Hospital Clínico Universitario San Carlos, Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), 28040 Madrid, Spain; (M.A.-R.); (V.M.); (A.B.); (J.V.); (L.d.V.); (R.M.O.); (P.d.M.); (J.A.D.); (C.F.); (I.M.); (A.D.); (I.J.); (M.C.); (I.R.); (M.P.); (M.A.R.)
- UCM School of Medicine, Medicina II Department, Universidad Complutense de Madrid, 28040 Madrid, Spain
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), 28029 Madrid, Spain
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Sacramento-Pacheco J, Sánchez-Gómez MB, Gómez-Salgado J, Novo-Muñoz MM, Duarte-Clíments G. Prevalence of Cardiovascular Risk Factors in Spain: A Systematic Review. J Clin Med 2023; 12:6944. [PMID: 37959409 PMCID: PMC10650307 DOI: 10.3390/jcm12216944] [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: 10/16/2023] [Revised: 10/30/2023] [Accepted: 11/03/2023] [Indexed: 11/15/2023] Open
Abstract
Cardiovascular diseases are the leading cause of death in Spain, according to data from the National Institute of Statistics, with the lack of control of cardiovascular risk factors (CVRF) being the main contributing factor. The CVRFs of greatest clinical interest are high blood pressure (HBP), smoking, diabetes mellitus (DM2), overweight, obesity, hypercholesterolaemia, and sedentary lifestyle. The main objective of this review was to compare the prevalence of the different CVRFs according to population-based studies carried out in Spain. For this, a systematic review based on publications assessing CVRFs in the adult population and estimating their national prevalence was conducted. Pubmed and Dialnet databases were consulted, and the selected articles were analysed using the Critical Appraisal Skills Programme Español (CASPe) tool for cohort studies and the Berra et al. tool for cross-sectional studies. A total of 33 studies were obtained from the autonomous regions of Andalusia, the Canary Islands, Castilla-Leon, Castilla-La Mancha, Catalonia, Extremadura, the Balearic Islands, Madrid, Murcia, and Navarra. In all the population-based studies, there was a greater representation of women in the sample. The most prevalent CVRFs differed across the studies according to the autonomous region targeted, with dyslipidaemia, sedentary lifestyle, high blood pressure, hypercholesterolaemia, overweight, and obesity standing out. Numerous differences exist between the studies included in this review, such as the age range, the CVRFs analysed and their prevalence, and remarkable aspects such as the over-representation of the female sex in all cases. It can be concluded that, based on the presented results, the prevalence of CVRFs in Spain varies according to the autonomous region, the sex of the individual, and the studied age range.
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Affiliation(s)
- Jennifer Sacramento-Pacheco
- Nuestra Señora de Candelaria Nursing University School, University of La Laguna, 38010 San Cristóbal de La Laguna, Spain
- Europa Sur Educational Centre (CESUR Tenerife), 38006 Santa Cruz de Tenerife, Spain
| | - María Begoña Sánchez-Gómez
- Cátedra de Enfermería, Universidad de La Laguna, 38200 San Cristóbal de La Laguna, Spain
- Cieza Este Health Centre, Area IX, Servicio Murciano de Salud, 30530 Murcia, Spain
| | - Juan Gómez-Salgado
- Department of Sociology, Social Work and Public Health, Faculty of Labour Sciences, University of Huelva, 21071 Huelva, Spain
- Safety and Health Postgraduate Program, Universidad Espíritu Santo, Guayaquil 092301, Ecuador
| | - María Mercedes Novo-Muñoz
- Department of Nursing, Faculty of Health Sciences, University of La Laguna, 38200 San Cristóbal de La Laguna, Spain
| | - Gonzalo Duarte-Clíments
- Cátedra de Enfermería, Universidad de La Laguna, 38200 San Cristóbal de La Laguna, Spain
- Case Management, Area IX, Servicio Murciano de Salud, 30530 Murcia, Spain
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Riera-Molist N, Assens-Tauste M, Roura-Poch P, Guimerà-Gallent M, Santos-López JM, Serra-Millas M, Frau-Rosselló N, Gallego-Peña E, Foguet-Boreu Q. A Cardiovascular Risk Optimization Program in People With Schizophrenia: A Pilot Randomized Controlled Clinical Trial. J Psychiatr Pract 2023; 29:456-468. [PMID: 37948170 PMCID: PMC10631505 DOI: 10.1097/pra.0000000000000743] [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] [Indexed: 11/12/2023]
Abstract
BACKGROUND Cardiovascular disease is one of the leading causes of premature death in people with schizophrenia. Some modifiable factors that have been implicated include unhealthy lifestyle, medication side effects, and physical comorbidities. The goal of this study was to assess the efficacy of a 6-month, multifactorial cardiovascular risk intervention to reduce cardiovascular risk (CVR) in people with schizophrenia. METHODS We conducted a 2-arm, parallel, randomized clinical trial in a regional mental health center. Participants with at least 1 poorly controlled cardiovascular risk factor (CVRF) (hypertension, diabetes mellitus, hypercholesterolemia, or tobacco smoking) were randomly assigned to the intervention group or to a control group. The subjects in the intervention group received a patient-centered approach that included promoting a healthy lifestyle, pharmacological management of CVRFs, psychotropic drug optimization, and motivational follow-up [Programa d'optimització del RISc CArdiovascular (PRISCA)]. The main outcome was change in CVR as assessed using the Framingham-REGICOR function, after 6 months compared with the baseline in both groups. RESULTS Forty-six participants were randomly assigned to the PRISCA group (n=23) or the control group (n=23). The most prevalent CVRFs at baseline were hypercholesterolemia (84.8%) and tobacco smoking (39.1%). The PRISCA group showed a significant reduction in the REGICOR score (-0.96%; 95% CI: -1.60 to -0.32, P=0.011) after 6 months (relative risk reduction of 20.9%), with no significant changes in the control group (0.21%; 95% CI: -0.47 to 0.89, P=0.706). In the PRISCA group, low-density lipoprotein cholesterol also decreased significantly (-27.14 mg/dL; 95% CI: -46.28 to -8.00, P=0.008). CONCLUSION A patient-centered, multifactorial cardiovascular risk intervention improved CVR in people with schizophrenia after 6 months, which was achieved mainly by improving the lipid profile.
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Domínguez-López I, Arancibia-Riveros C, Tresserra-Rimbau A, Castro-Barquero S, Casas R, Vázquez-Ruiz Z, Ros E, Fitó M, Estruch R, López-Sabater MC, Lamuela-Raventós RM. Relationship between estimated desaturase enzyme activity and metabolic syndrome in a longitudinal study. Front Nutr 2022; 9:991277. [PMID: 36386905 PMCID: PMC9643862 DOI: 10.3389/fnut.2022.991277] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2022] [Accepted: 10/10/2022] [Indexed: 12/05/2023] Open
Abstract
Desaturase enzyme activities (DEA) are associated with several metabolic diseases. The aim of the present study was to assess the relationship between estimated plasma DEA and the metabolic syndrome (MetS), as well as their relationship with individual components of the MetS. We conducted a longitudinal study of 148 participants recruited at random from the PREDIMED trial (Hospital Clinic site). At baseline and after 1 year of follow-up, DEA were estimated from product/precursor ratios of individual plasma fatty acids. Logistic regressions were used to assess the relationship of estimated DEA MetS, adjusted for potential cofounders. Estimated Δ5 desaturase (D5D) activity was associated with lower risk of MetS, whereas stearoyl-CoA (SCD)-16 and SCD-18 were negatively associated with MetS status. SCD-16, SCD-18, and Δ6 desaturase (D6D) were positively associated with triglycerides, SCD-18 was inversely associated with HDL-cholesterol. Estimated D6D activity was found to be associated with increases in diastolic blood pressure. In contrast, D5D was negatively associated with triglycerides, diastolic blood pressure and waist circumference. The present longitudinal study suggests that estimated SCD-16, SCD-18, and D6D have a negative impact in MetS and its components, whereas D5D may have beneficial effects for metabolic health.
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Affiliation(s)
- Inés Domínguez-López
- Department of Nutrition, Food Sciences and Gastronomy, XIA School of Pharmacy and Food Sciences, University of Barcelona, Barcelona, Spain
- INSA-UB, Nutrition and Food Safety Research Institute, University of Barcelona, Santa Coloma de Gramanet, Spain
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
| | - Camila Arancibia-Riveros
- Department of Nutrition, Food Sciences and Gastronomy, XIA School of Pharmacy and Food Sciences, University of Barcelona, Barcelona, Spain
- INSA-UB, Nutrition and Food Safety Research Institute, University of Barcelona, Santa Coloma de Gramanet, Spain
| | - Anna Tresserra-Rimbau
- Department of Nutrition, Food Sciences and Gastronomy, XIA School of Pharmacy and Food Sciences, University of Barcelona, Barcelona, Spain
- INSA-UB, Nutrition and Food Safety Research Institute, University of Barcelona, Santa Coloma de Gramanet, Spain
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
| | - Sara Castro-Barquero
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Department of Internal Medicine, Hospital Clinic, Institut d’Investigació Biomèdica August Pi i Sunyer (IDIBAPS), University of Barcelona, Barcelona, Spain
| | - Rosa Casas
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Department of Internal Medicine, Hospital Clinic, Institut d’Investigació Biomèdica August Pi i Sunyer (IDIBAPS), University of Barcelona, Barcelona, Spain
| | - Zenaida Vázquez-Ruiz
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Department of Preventive Medicine and Public Health, University of Navarra, IdiSNA, Pamplona, Spain
| | - Emilio Ros
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Department of Endocrinology, Hospital Clinic, IDIBAPS, Barcelona, Spain
| | - Montserrat Fitó
- CIBER 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 (IMIM), Barcelona, Spain
| | - Ramon Estruch
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Department of Internal Medicine, Hospital Clinic, Institut d’Investigació Biomèdica August Pi i Sunyer (IDIBAPS), University of Barcelona, Barcelona, Spain
| | - M. Carmen López-Sabater
- Department of Nutrition, Food Sciences and Gastronomy, XIA School of Pharmacy and Food Sciences, University of Barcelona, Barcelona, Spain
- INSA-UB, Nutrition and Food Safety Research Institute, University of Barcelona, Santa Coloma de Gramanet, Spain
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
| | - Rosa M. Lamuela-Raventós
- Department of Nutrition, Food Sciences and Gastronomy, XIA School of Pharmacy and Food Sciences, University of Barcelona, Barcelona, Spain
- INSA-UB, Nutrition and Food Safety Research Institute, University of Barcelona, Santa Coloma de Gramanet, Spain
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
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Foguet-Boreu Q, Vilamala-Orra M, Vaqué-Crusellas C, Roura-Poch P, Assens Tauste M, Bori Vila J, Santos-López JM, Del Río Sáez R. Metabolic impact of a nutrition education program for the promotion of fruit and vegetable consumption with people with severe mental disorders (DIETMENT). BMC Res Notes 2022; 15:122. [PMID: 35351204 PMCID: PMC8962513 DOI: 10.1186/s13104-022-06005-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2021] [Accepted: 03/15/2022] [Indexed: 11/10/2022] Open
Abstract
OBJECTIVES The aim of this study is to determine the metabolic impact of a nutrition education program on metabolic parameters and the presence of metabolic syndrome (MetS). RESULTS Seventy-four patients were included (mean age, 48.7 years [Standard deviation, SD: 10.8], 55.4% men). The diagnoses of SMD were 37.8% schizophrenia and related disorders; 29.7% bipolar disorder; 25.7% depressive disorder; 4.1% personality disorders; and 2.7% obsessive compulsive disorders. Thirty-seven individuals were distributed in both the intervention group (IG) and the control group (CG). In the IG the presence of MetS was 56.3% and in the CG 46.7%, with no statistically significant difference (p = 0.309). At the end of the study, glomerular filtrate decreased in the IG, body mass index and abdominal perimeter increased in both groups, and there were no changes in metabolic parameters between the groups. Between the baseline and the end of the study, there was no increase in the number of patients diagnosed with MetS (14 at both points); and in the CG the increase was from 8 to 12 (p = 0.005). An intervention based on fruit and vegetable intake could prevent progression to MetS in individuals with SMD, decreasing the likelihood of cardiovascular disease. Trial registration The trial was retrospectively registered on International Standard Randomised Controlled Trial Number (ISRCTN) Register on 11 March 2022 (ISRCTN12024347).
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Affiliation(s)
- Quintí Foguet-Boreu
- Multidisciplinary Research Group in Mental Health, Department of Psychiatry, Vic University Hospital, 08500, Vic, Spain. .,Department of Psychiatry, Vic University Hospital, 08500, Vic, Spain. .,Faculty of Medicine, University of Vic - Central University of Catalonia, Vic, Barcelona, Spain.
| | - Mireia Vilamala-Orra
- Research Group on Methodology, Methods, Models and Outcomes of Health and Social Sciences (M3O), Faculty of Health Sciences and Welfare, University of Vic - Central University of Catalonia, 08500, Vic, Spain.,Osonament - Osona Psychopedagogical Medical Center Foundation, 08500, Vic, Spain
| | - Cristina Vaqué-Crusellas
- Research Group on Methodology, Methods, Models and Outcomes of Health and Social Sciences (M3O), Faculty of Health Sciences and Welfare, University of Vic - Central University of Catalonia, 08500, Vic, Spain
| | - Pere Roura-Poch
- Department of Clinical Epidemiology, Vic University Hospital, 08500, Vic, Spain
| | | | - Judit Bori Vila
- Department of Psychiatry, Vic University Hospital, 08500, Vic, Spain
| | - Jose Manuel Santos-López
- Department of Psychiatry, Vic University Hospital, 08500, Vic, Spain.,Mental Health and Social Innovation Research Group (SaMIS), University of Vic-Central University of Catalonia, 08500, Vic, Spain
| | - Ruben Del Río Sáez
- Osonament - Osona Psychopedagogical Medical Center Foundation, 08500, Vic, Spain.,Mental Health and Social Innovation Research Group (SaMIS), University of Vic-Central University of Catalonia, 08500, Vic, Spain
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