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Paz-Graniel I, Valle-Hita C, Babio N, Serra-Majem L, Vioque J, Zomeño MD, Corella D, Pintó X, Cano-Ibáñez N, Tur JA, Cuadrado-Soto E, Martínez JA, Díaz-López A, Torres-Collado L, Goday A, Fernández-Carrión R, Nissenshon M, Riera-Mestre A, Garrido-Garrido E, Bouzas C, Abete I, Daimiel L, Cornejo-Pareja I, Vázquez-Ruiz Z, Khoury N, Pérez-Vega KA, Salas-Salvadó J. Long-term association between water intake and kidney function in a population at high cardiovascular risk. J Nutr Health Aging 2024; 28:100327. [PMID: 39137622 DOI: 10.1016/j.jnha.2024.100327] [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: 05/15/2024] [Revised: 07/23/2024] [Accepted: 07/26/2024] [Indexed: 08/15/2024]
Abstract
OBJECTIVES The evidence on water intake in the prevention of kidney function decline is scarce at population level in well-being individuals at high cardiovascular risk. Therefore, we aimed to longitudinally evaluate the associations between total water intake and subtypes and kidney function, through estimated-Glomerular Filtration Rate (eGFR). METHODS Three-year prospective analysis conducted in 1986 older adults (aged 55-75 year) with overweight/obesity and metabolic syndrome from the PREDIMED-Plus study. Water intake was assessed using validated beverage and food frequency questionnaires. Serum creatinine-based eGFR (SCr-based eGFR; ml/min/1.73 m2) was estimated using the CKD-EPI equation at baseline, one-year and 3-years of follow-up. Mixed-effects linear regression models were fitted to evaluate the associations between baseline total water intake and subtypes, and SCr-based eGFR over 3-years of follow-up. RESULTS Participants in the highest baseline tertile of total water intake, plain water and water from all fluids showed a lower decrease in SCr-based eGFR after 3-years of follow-up, compared to those in the lowest tertile. Participants with the highest tap water consumption showed a lower SCr-based eGFR decline after 1-year and 3-years of follow-up, in comparerd to participants in the lowest intake category (T3 vs. T1: β: 1.4 ml/min/1.73 m2; 95%CI: 0.5-2.3, β: 1.0; 95%CI: 0.1-2.0, respectively). CONCLUSIONS Plain water rather than other water sources, and especially tap water, was associated with lower kidney function decline assessed through eGFR over 3-years of follow-up, in older individuals at high cardiovascular risk. TRIAL REGISTRATION ISRCTN89898870. Retrospectively registered on 24 July 2014.
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Affiliation(s)
- Indira Paz-Graniel
- Consorcio Centro de Investigación Biomédica en Red, M.P. Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain; Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnología, Alimentaciò, Nutrició, Desenvolupament i Salut Mental (ANUT-DSM), Reus, Spain; Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
| | - Cristina Valle-Hita
- Consorcio Centro de Investigación Biomédica en Red, M.P. Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain; Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnología, Alimentaciò, Nutrició, Desenvolupament i Salut Mental (ANUT-DSM), Reus, Spain; Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
| | - Nancy Babio
- Consorcio Centro de Investigación Biomédica en Red, M.P. Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain; Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnología, Alimentaciò, Nutrició, Desenvolupament i Salut Mental (ANUT-DSM), Reus, Spain; Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
| | - Lluís Serra-Majem
- Consorcio Centro de Investigación Biomédica en Red, M.P. Fisiopatología de la Obesidad y Nutrición, 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
| | - Jesus Vioque
- CIBER de 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
| | - María Dolores Zomeño
- Consorcio Centro de Investigación Biomédica en Red, M.P. Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain; Cardiovascular Risk and Nutrition, Hospital del Mar Medical Research Institute, Barcelona, Spain; School of Health Sciences, Blanquerna-Ramon Llull University, Barcelona, Spain
| | - Dolores Corella
- Consorcio Centro de Investigación Biomédica en Red, M.P. Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain; Departament of Preventive Medicine and Public Health, School of Medicine, Valencia, Spain
| | - Xavier Pintó
- Consorcio Centro de Investigación Biomédica en Red, M.P. Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain; Internal Medicine Department. Hospital Universitari Bellvitge, Barcelona, Spain; Bellvitge Biomedical Research Institute (IDIBELL), Barcelona, Spain; Clinical Sciences Department, Faculty of Medicine and Health Sciences, Universitat de Barcelona, Barcelona, Spain
| | - Naomi Cano-Ibáñez
- CIBER de 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 (ibs. GRANADA), Complejo Hospitales Universitarios de Granada/Universidad de Granada, 18071, Granada, Spain
| | - Josep A Tur
- Consorcio Centro de Investigación Biomédica en Red, M.P. Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 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
| | - Esther Cuadrado-Soto
- Consorcio Centro de Investigación Biomédica en Red, M.P. Fisiopatología de la Obesidad y Nutrición, 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; Grupo de Investigación VALORNUT-UCM, Departamento de Nutrición y Ciencia de los Alimentos, Facultad de Farmacia, Universidad Complutense de Madrid, 28040 Madrid, Spain
| | - J A Martínez
- Consorcio Centro de Investigación Biomédica en Red, M.P. Fisiopatología de la Obesidad y Nutrición, Instituto de Salud 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, IEA Food, CEI UAM+CSIC, Madrid, Spain; Departament of Medicine and Endocrinology, University of Valladolid, Spain
| | - Andrés Díaz-López
- Consorcio Centro de Investigación Biomédica en Red, M.P. Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain; Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain; Nutrition and Mental Health (NUTRISAM) Research Group, Nutrition and Public Health Unit, Universitat Rovira I Virgili, Reus 43204, Spain
| | - Laura Torres-Collado
- CIBER de 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
| | - Albert Goday
- Consorcio Centro de Investigación Biomédica en Red, M.P. Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain; IMIM, Endocrinology and Diabetes Unit, Hospital del Mar, Barcelona, Spain; Departament de Medicina, Universitat Autónoma de Barcelona, Spain
| | - Rebeca Fernández-Carrión
- Consorcio Centro de Investigación Biomédica en Red, M.P. Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain; Departament of Preventive Medicine and Public Health, School of Medicine, Valencia, Spain
| | - Mariela Nissenshon
- 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
| | - Antoni Riera-Mestre
- Consorcio Centro de Investigación Biomédica en Red, M.P. Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain; Internal Medicine Department. Hospital Universitari Bellvitge, Barcelona, Spain; Bellvitge Biomedical Research Institute (IDIBELL), Barcelona, Spain; Clinical Sciences Department, Faculty of Medicine and Health Sciences, Universitat de Barcelona, Barcelona, Spain
| | - Eva Garrido-Garrido
- Primary Care Center Zaidín-Center, Andalusian Health Service, Granada, Spain
| | - Cristina Bouzas
- Consorcio Centro de Investigación Biomédica en Red, M.P. Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 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
| | - Itziar Abete
- Consorcio Centro de Investigación Biomédica en Red, M.P. Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain; Department of Nutrition, Food Sciences, and Physiology, Center for Nutrition Research, University of Navarra, Pamplona, Spain
| | - Lidia Daimiel
- Consorcio Centro de Investigación Biomédica en Red, M.P. Fisiopatología de la Obesidad y Nutrición, 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, Faculty de Farmacia, Universidad San Pablo-CEU, CEU Universities, Boadilla del Monte, Spain
| | - Isabel Cornejo-Pareja
- Consorcio Centro de Investigación Biomédica en Red, M.P. Fisiopatología de la Obesidad y Nutrición, 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, 29010 Málaga, Spain
| | - Zenaida Vázquez-Ruiz
- Consorcio Centro de Investigación Biomédica en Red, M.P. Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain; Department of Preventive Medicine and Public Health, Instituto de Investigación Sanitaria de Navarra (IdiSNA), University of Navarra, 31008 Pamplona, Spain
| | - Nadine Khoury
- Consorcio Centro de Investigación Biomédica en Red, M.P. Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain; Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnología, Alimentaciò, Nutrició, Desenvolupament i Salut Mental (ANUT-DSM), Reus, Spain; Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
| | - Karla Alejandra Pérez-Vega
- Consorcio Centro de Investigación Biomédica en Red, M.P. Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain; Cardiovascular Risk and Nutrition, Hospital del Mar Medical Research Institute, Barcelona, Spain
| | - Jordi Salas-Salvadó
- Consorcio Centro de Investigación Biomédica en Red, M.P. Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain; Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnología, Alimentaciò, Nutrició, Desenvolupament i Salut Mental (ANUT-DSM), Reus, Spain; Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain.
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Garcia S, Vidović B, Tijerina A, Tur JA, Bouzas C. Development and Evaluation of the Reliability of a Semi-Quantitative Food Frequency Questionnaire to Assess the Intake in the Serbian Population. Nutrients 2024; 16:2490. [PMID: 39125370 PMCID: PMC11313923 DOI: 10.3390/nu16152490] [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: 06/29/2024] [Revised: 07/26/2024] [Accepted: 07/29/2024] [Indexed: 08/12/2024] Open
Abstract
Assessing dietary habits with validated questionnaires is crucial for achieving reliable results in health research. The aim of this study was the development and validation of a semi-quantitative food frequency questionnaire (FFQ) in an 18-30-year-old Serbian population. A total of 93 participants completed the FFQ and three 24 h dietary recalls (24 hR). Pearson and intraclass correlations between FFQ and 24 hR intakes were assessed and were de-attenuated and energy-adjusted. Bland-Altman plots were generated, and quintiles of energy, water, fiber, and macronutrient intake were analyzed with contingency tables. Adjustments for sex differences were included. The validity of the FFQ varied, with significant correlations for energy, carbohydrates, cholesterol, and vitamin B12, vitamin C and vitamin D. Misclassification rates were generally low. Bland-Altman plots indicated good agreement between methods. It can be concluded that the validated FFQ is a promising tool for dietary assessment in the Serbian population. Results for several nutrients align closely with previous studies. The new FFQ is a useful tool for dietary assessment in the Serbian population.
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Affiliation(s)
- Silvia Garcia
- Research Group on Community Nutrition and Oxidative Stress, University of the Balearic Islands—IUNICS, 07122 Palma de Mallorca, Spain
- Health Institute of the Balearic Islands (IDISBA), 07120 Palma de Mallorca, Spain
- CIBER Physiopathology of Obesity and Nutrition (CIBEROBN), Institute of Health Carlos III (ISCIII), 28029 Madrid, Spain
| | - Bojana Vidović
- Department of Bromatology, Faculty of Pharmacy, University of Belgrade, 11221 Belgrade, Serbia;
| | - Alexandra Tijerina
- Faculty of Public Health and Nutrition, Autonomous University of Nuevo Leon, Monterrey 64460, Mexico;
| | - Josep A. Tur
- Research Group on Community Nutrition and Oxidative Stress, University of the Balearic Islands—IUNICS, 07122 Palma de Mallorca, Spain
- Health Institute of the Balearic Islands (IDISBA), 07120 Palma de Mallorca, Spain
- CIBER Physiopathology of Obesity and Nutrition (CIBEROBN), Institute of Health Carlos III (ISCIII), 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 Institute of the Balearic Islands (IDISBA), 07120 Palma de Mallorca, Spain
- CIBER Physiopathology of Obesity and Nutrition (CIBEROBN), Institute of Health Carlos III (ISCIII), 28029 Madrid, Spain
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Lopez de Coca T, Moreno L, Pardo J, Pérez-Tur J, Ramos H, Villagrasa V. Influence of daily life and health profile in subtle cognitive decline of women residing in Spanish religious communities: DeCo religious orders study. Front Public Health 2024; 12:1395877. [PMID: 39086806 PMCID: PMC11288981 DOI: 10.3389/fpubh.2024.1395877] [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: 03/04/2024] [Accepted: 07/01/2024] [Indexed: 08/02/2024] Open
Abstract
Background Prior to the onset of dementia, individuals commonly undergo a phase marked by subtle cognitive changes, known as subtle cognitive decline. Recognizing these early cognitive alterations is crucial, as they can serve as indicators of an impending decline in cognitive function, warranting timely intervention and support. Objectives To determine the incidence of subtle cognitive decline in a population of Spanish women and establish the relationship with possible protective and/or risk factors such as cognitive reserve, cardiovascular risk factors, medication consumption and psychosocial factors. Design and participants This is a cross-sectional observational study with women from the general population and a more homogeneous population composed of nuns from the Valencian region (Spain). Measurements A validated questionnaire was used including lifestyle variables, chronic illnesses, level of education and pharmacological treatments. Three validated subtle cognitive decline screening tests with varying levels of sensitivity and specificity were used: Memory Impairment Screening, Pfeiffer's Short Portable Mental State Questionnaire, and Semantic Verbal Fluency. Results Our results suggest that nuns may have a significantly reduced risk of cognitive decline compared to the general population (20.67% in nuns vs. 36.63% in the general population). This lower risk for subtle cognitive decline in nuns may be partly attributed to their higher cognitive reserve and long-time engagement in intellectually stimulating activities. Additionally, nuns tend to adopt healthy lifestyles, they are not isolated because they live in community and obtained lower scores for risk factors such as depression, anticholinergic burden, and benzodiazepine consumption. Conclusion A healthy lifestyle combined with intellectually stimulating activities is related with preserved cognitive function.
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Affiliation(s)
- Teresa Lopez de Coca
- Cátedra DeCo MICOF-CEU UCH, Universidad Cardenal Herrera-CEU, CEU Universities, Valencia, Spain
- Department of Pharmacy, Universidad Cardenal Herrera-CEU, CEU Universities, Valencia, Spain
| | - Lucrecia Moreno
- Cátedra DeCo MICOF-CEU UCH, Universidad Cardenal Herrera-CEU, CEU Universities, Valencia, Spain
- Department of Pharmacy, Universidad Cardenal Herrera-CEU, CEU Universities, Valencia, Spain
| | - Juan Pardo
- Cátedra DeCo MICOF-CEU UCH, Universidad Cardenal Herrera-CEU, CEU Universities, Valencia, Spain
- Embedded Systems and Artificial Intelligence Group, Universidad Cardenal Herrera-CEU, CEU Universities, Valencia, Spain
| | - Jordi Pérez-Tur
- Cátedra DeCo MICOF-CEU UCH, Universidad Cardenal Herrera-CEU, CEU Universities, Valencia, Spain
- Institut de Biomedicina de València-CSIC, CIBERNED, ISCIII, Valencia, Spain
| | - Hernán Ramos
- Cátedra DeCo MICOF-CEU UCH, Universidad Cardenal Herrera-CEU, CEU Universities, Valencia, Spain
| | - Victoria Villagrasa
- Cátedra DeCo MICOF-CEU UCH, Universidad Cardenal Herrera-CEU, CEU Universities, Valencia, Spain
- Department of Pharmacy, Universidad Cardenal Herrera-CEU, CEU Universities, Valencia, Spain
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Bellón D, Rodriguez-Ayllon M, Solis-Urra P, Fernandez-Gamez B, Olvera-Rojas M, Coca-Pulido A, Toval A, Martín-Fuentes I, Bakker EA, Sclafani A, Fernández-Ortega J, Cabanas-Sánchez V, Mora-Gonzalez J, Gómez-Río M, Lubans DR, Ortega FB, Esteban-Cornejo I. Associations between muscular strength and mental health in cognitively normal older adults: a cross-sectional study from the AGUEDA trial. Int J Clin Health Psychol 2024; 24:100450. [PMID: 38525016 PMCID: PMC10960140 DOI: 10.1016/j.ijchp.2024.100450] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2023] [Accepted: 02/16/2024] [Indexed: 03/26/2024] Open
Abstract
Objective To examine the associations between muscular strength and mental health. Design We used baseline data of 91 cognitively healthy older adults (71.69 ± 3.91 years old, 57 % women) participating in the AGUEDA randomized controlled trial. Methods Muscular strength was assessed using both objective (i.e., handgrip strength, biceps curl, squats, and isokinetic test) and perceived (i.e., International Fitness Scale) indicators. Psychological ill-being indicators: anxiety, depression, stress, and loneliness; and psychological well-being indicators: satisfaction with life, self-esteem, and emotional well-being) were assessed using a set of valid and reliable self-reported questionnaires. Linear regression analyses were performed adjusting for sex, age, years of education, body mass index , alcohol, diet, and smoking (model 1), and additionally by cardiorespiratory fitness (model 2). Results Elbow extension was positively associated with stress in model 1 (β = 0.252, 95 % Confidence Interval [95 % CI] = 0.007 to 0.497, p = 0.044), and even after further adjustment for cardiorespiratory fitness (β = 0.282, 95 % CI = 0.032 to 0.532, p = 0.028). Perceived strength was negatively associated with depressive symptoms in model 1 (β = -0.271, 95 % CI = -0.491 to -0.049, p = 0.017) and model 2 reported associations tending towards significant (β = -0.220, 95 % CI = -0.445 to 0.005, p = 0.055). Handgrip strength was positively associated with self-esteem in model 1 (β = 0.558, 95 % CI = 0.168 to 0.949, p = 0.006) and model 2 (β = 0.546, 95 % CI = 0.135 to 0.956, p = 0.010). No further associations were found among other muscular strength and mental health variables. Conclusion Handgrip had a moderate association with self-esteem and there was a small association between perceived strength with depressive symptoms and elbow extension with stress. No other associations were observed between muscular strength and mental health outcomes in cognitively normal older adults.
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Affiliation(s)
- Darío Bellón
- Department of Physical Education and Sports, Faculty of Sport Sciences, Sport and Health University Research Institute (iMUDS), University of Granada, Granada, Spain
| | - María Rodriguez-Ayllon
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, the Netherlands
- Biomedical Research Institute of Malaga (IBIMA Platform Bionand), Málaga, Spain
- Prevention and Health Promotion Research Network (redIAPP) & Chronicity, Primary Care and Health Promotion Research Network, (RICAPPS), ISCIII, Madrid, Spain
| | - Patricio Solis-Urra
- Department of Physical Education and Sports, Faculty of Sport Sciences, Sport and Health University Research Institute (iMUDS), University of Granada, Granada, Spain
- Virgen de las Nieves University Hospital, Granada, Spain
- Faculty of Education and Social Sciences, University of Andres Bello, Viña del Mar, Chile
| | - Beatriz Fernandez-Gamez
- Department of Physical Education and Sports, Faculty of Sport Sciences, Sport and Health University Research Institute (iMUDS), University of Granada, Granada, Spain
| | - Marcos Olvera-Rojas
- Department of Physical Education and Sports, Faculty of Sport Sciences, Sport and Health University Research Institute (iMUDS), University of Granada, Granada, Spain
| | - Andrea Coca-Pulido
- Department of Physical Education and Sports, Faculty of Sport Sciences, Sport and Health University Research Institute (iMUDS), University of Granada, Granada, Spain
| | - Angel Toval
- Department of Physical Education and Sports, Faculty of Sport Sciences, Sport and Health University Research Institute (iMUDS), University of Granada, Granada, Spain
| | - Isabel Martín-Fuentes
- Department of Physical Education and Sports, Faculty of Sport Sciences, Sport and Health University Research Institute (iMUDS), University of Granada, Granada, Spain
| | - Esmée A. Bakker
- Department of Physical Education and Sports, Faculty of Sport Sciences, Sport and Health University Research Institute (iMUDS), University of Granada, Granada, Spain
| | - Alessandro Sclafani
- Department of Physical Education and Sports, Faculty of Sport Sciences, Sport and Health University Research Institute (iMUDS), University of Granada, Granada, Spain
| | - Javier Fernández-Ortega
- Department of Physical Education and Sports, Faculty of Sport Sciences, Sport and Health University Research Institute (iMUDS), University of Granada, Granada, Spain
| | - Verónica Cabanas-Sánchez
- Department of Preventive Medicine and Public Health. School of Medicine, Universidad Autónoma de Madrid, Calle del Arzobispo Morcillo, 4, 28029, Madrid, Spain
- CIBERESP (CIBER of Epidemiology and Public Health), Av. Monforte de Lemos, 3-5, 28029, Madrid, Spain
- IMDEA-Food Institute. CEI UAM+CSIC, Ctra. de Canto Blanco 8, E.28049, Madrid, Spain
| | - Jose Mora-Gonzalez
- Department of Physical Education and Sports, Faculty of Sport Sciences, Sport and Health University Research Institute (iMUDS), University of Granada, Granada, Spain
| | - Manuel Gómez-Río
- Servicio de Medicina Nuclear, Hospital Universitario Virgen de las Nieves, Granada, Spain
- ibs.GRANADA Instituto de Investigación Biosanitaria, Granada, Spain
| | - David R Lubans
- Centre for Active Living and Learning, The University of Newcastle, Newcastle, NSW, Australia
- Hunter Medical Research Institute, New Lambton Heights, NSW, Australia
- Faculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, Finland
| | - Francisco B. Ortega
- Department of Physical Education and Sports, Faculty of Sport Sciences, Sport and Health University Research Institute (iMUDS), University of Granada, Granada, Spain
- Faculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, Finland
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain
| | - Irene Esteban-Cornejo
- Department of Physical Education and Sports, Faculty of Sport Sciences, Sport and Health University Research Institute (iMUDS), University of Granada, Granada, Spain
- ibs.GRANADA Instituto de Investigación Biosanitaria, Granada, Spain
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain
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Khoury N, Ángeles Martínez M, Nishi SK, Ángel Martínez-González M, Corella D, Castañer O, Alfredo Martínez J, Alonso-Gómez ÁM, Wärnberg J, Vioque J, Romaguera D, López-Miranda J, Estruch R, Tinahones FJ, Manuel Santos-Lozano J, Serra-Majem L, Bueno-Cavanillas A, Tur JA, Cinza Sanjurjo S, Pintó X, Juan Gaforio J, Matía-Martín P, Vidal J, Vázquez C, Daimiel L, Ros E, Sayon-Orea C, V Sorli J, Pérez-Vega KA, Garcia-Rios A, Ortiz-Díaz F, Gómez-Gracia E, Zulet MA, Chaplin A, Casas R, Salcedo-Bellido I, Tojal-Sierra L, Bernal-Lopez MR, Vazquez-Ruiz Z, Asensio EM, Goday A, Peña-Orihuela PJ, Signes-Pastor AJ, Garcia-Arellano A, Fitó M, Babio N, Salas-Salvadó J. Dietary intake of Perfluorooctanesulfonic acid (PFOS) and glucose homeostasis parameters in a non-diabetic senior population. ENVIRONMENT INTERNATIONAL 2024; 186:108565. [PMID: 38574403 DOI: 10.1016/j.envint.2024.108565] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/21/2023] [Revised: 02/26/2024] [Accepted: 03/04/2024] [Indexed: 04/06/2024]
Abstract
BACKGROUND Endocrine disruptors (EDs) have emerged as potential contributors to the development of type-2 diabetes. Perfluorooctane sulfonate (PFOS), is one of these EDs linked with chronic diseases and gathered attention due to its widespread in food. OBJECTIVE To assess at baseline and after 1-year of follow-up associations between estimated dietary intake (DI) of PFOS, and glucose homeostasis parameters and body-mass-index (BMI) in a senior population of 4600 non-diabetic participants from the PREDIMED-plus study. METHODS Multivariable linear regression models were conducted to assess associations between baseline PFOS-DI at lower bound (LB) and upper bound (UB) established by the EFSA, glucose homeostasis parameters and BMI. RESULTS Compared to those in the lowest tertile, participants in the highest tertile of baseline PFOS-DI in LB and UB showed higher levels of HbA1c [β-coefficient(CI)] [0.01 %(0.002 to 0.026), and [0.06 mg/dL(0.026 to 0.087), both p-trend ≤ 0.001], and fasting plasma glucose in the LB PFOS-DI [1.05 mg/dL(0.050 to 2.046),p-trend = 0.022]. Prospectively, a positive association between LB of PFOS-DI and BMI [0.06 kg/m2(0.014 to 0.106) per 1-SD increment of energy-adjusted PFOS-DI was shown. Participants in the top tertile showed an increase in HOMA-IR [0.06(0.016 to 0.097), p-trend = 0.005] compared to participants in the reference tertile after 1-year of follow-up. DISCUSSION This is the first study to explore the association between DI of PFOS and glucose homeostasis. In this study, a high baseline DI of PFOS was associated with a higher levels of fasting plasma glucose and HbA1c and with an increase in HOMA-IR and BMI after 1-year of follow-up.
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Affiliation(s)
- Nadine Khoury
- 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, Alimentaciò, Nutrició, Desenvolupament i Salut Mental ANUT-DSM, Reus, Spain; Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
| | - María Ángeles 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 Virgili, Departament de Bioquímica i Biotecnologia, Alimentaciò, Nutrició, Desenvolupament i Salut Mental ANUT-DSM, Reus, Spain; Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain.
| | - Stephanie K Nishi
- 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, Alimentaciò, Nutrició, Desenvolupament i Salut Mental ANUT-DSM, Reus, Spain; Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, 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
| | - 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
- IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain; University of the Basque Country UPV/EHU, Vitoria-Gasteiz, 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, Spain; Osakidetza Basque Health Service, Araba University Hospital, Spain; 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
| | - Jesús Vioque
- CIBER de 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 Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health 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 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 i Sunyer (IDIBAPS), Institut de Recerca en Nutrició i Seguretat Alimentària (INSA), 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 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
| | - 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 & Centro Hospitalario Universitario Insular Materno Infantil (CHUIMI), Canarian Health Service, Las Palmas de Gran Canaria, Spain
| | - Aurora Bueno-Cavanillas
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, 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 Balearic Islands, Palma de Mallorca, Spain
| | - Sergio Cinza Sanjurjo
- CS Milladoiro, Área Sanitaria de Santiago de Compostela, Spain; Instituto de Investigación de Santiago de Compostela (IDIS), Spain; Centro de Investigación Biomédica en Red-Enfermedades Cardiovasculares (CIBERCV), 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
| | - José Juan Gaforio
- University of the Basque Country UPV/EHU, Vitoria-Gasteiz, Spain; Departamento de Ciencias de la Salud, Instituto Universitario de Investigación en Olivar y Aceites de Oliva, Universidad de Jaén, Jaén, 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
| | - 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
| | - Carmen Sayon-Orea
- 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
| | - 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
| | - Karla-Alejandra Pérez-Vega
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; IMIM (Hospital del Mar Medical Research Institute), 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
| | | | - Enrique Gómez-Gracia
- 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
| | - M A 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; Precision Nutrition and Cardiometabolic Health Program, IMDEA Food, CEI UAM + CSIC, Madrid, Spain
| | - Alice Chaplin
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Health Research Institute of the Balearic Islands (IdISBa), Palma de Mallorca, Spain
| | - Rosa 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 i Sunyer (IDIBAPS), Institut de Recerca en Nutrició i Seguretat Alimentària (INSA), University of Barcelona, Barcelona, Spain
| | - Inmaculada Salcedo-Bellido
- CIBER de 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 ibs. GRANADA, 18014 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, Spain; Osakidetza Basque Health Service, Araba University Hospital, Spain; University of the Basque Country UPV/EHU, Vitoria-Gasteiz, Spain
| | - Maria-Rosa Bernal-Lopez
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Internal Medicine Clinical Management Unit, Hospital Regional Universitario de Málaga, Instituto de Investigación Biomédica de Málaga (IBIMA-Plataforma BIONAND), Universidad de Málaga, Spain
| | - Zenaida Vazquez-Ruiz
- 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
| | - Eva M Asensio
- 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
| | - Albert Goday
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; IMIM (Hospital del Mar Medical Research Institute), 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
| | - Antonio J Signes-Pastor
- CIBER de 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
| | - Ana Garcia-Arellano
- 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
| | - Montse Fitó
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; IMIM (Hospital del Mar Medical Research Institute), Barcelona, 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 de Bioquímica i Biotecnologia, Alimentaciò, Nutrició, Desenvolupament i Salut Mental ANUT-DSM, Reus, Spain; Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, 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 de Bioquímica i Biotecnologia, Alimentaciò, Nutrició, Desenvolupament i Salut Mental ANUT-DSM, Reus, Spain; Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain.
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6
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García S, Monserrat-Mesquida M, Argelich E, Ugarriza L, Salas-Salvadó J, Bautista I, Vioque J, Zomeño MD, Corella D, Pintó X, Bueno-Cavanillas A, Daimiel L, Martínez JA, Nishi S, Herrera-Ramos E, González-Palacios S, Fitó M, Asensio EM, Fanlo-Maresma M, Cano-Ibáñez N, Cuadrado-Soto E, Abete I, Tur JA, Bouzas C. Association between Beverage Consumption and Environmental Sustainability in an Adult Population with Metabolic Syndrome. Nutrients 2024; 16:730. [PMID: 38474858 DOI: 10.3390/nu16050730] [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: 12/02/2023] [Revised: 02/29/2024] [Accepted: 03/01/2024] [Indexed: 03/14/2024] Open
Abstract
Beverages are an important part of the diet, but their environmental impact has been scarcely assessed. The aim of this study was to assess how changes in beverage consumption over a one-year period can impact the environmental sustainability of the diet. This is a one-year longitudinal study of 55-75-year-old participants with metabolic syndrome (n = 1122) within the frame of the PREDIMED-Plus study. Food and beverage intake were assessed using a validated food frequency questionnaire and a validated beverage-specific questionnaire. The Agribalyse® 3.0.1 database was used to calculate environmental impact parameters such as greenhouse gas emission, energy, water, and land use. A sustainability beverage score was created by considering the evaluated environmental markers. A higher beverage sustainability score was obtained when decreasing the consumption of bottled water, natural and packed fruit juice, milk, and drinkable dairy, soups and broths, sorbets and jellies, soft drinks, tea without sugar, beer (with and without alcohol), and wine, as well as when increasing the consumption of tap water and coffee with milk and without sugar. Beverage consumption should be considered when assessing the environmental impact of a diet. Trial registration: ISRCTN, ISRCTN89898870. Registered 5 September 2013.
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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 the 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 the Balearic Islands-IUNICS, 07122 Palma de Mallorca, Spain
- Health Research Institute of the Balearic Islands (IdISBa), 07120 Palma de Mallorca, Spain
| | - Emma Argelich
- 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 the Balearic Islands-IUNICS, 07122 Palma de Mallorca, Spain
- Health Research Institute of the Balearic Islands (IdISBa), 07120 Palma de Mallorca, Spain
| | - Lucía Ugarriza
- 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 the Balearic Islands-IUNICS, 07122 Palma de Mallorca, Spain
- Health Research Institute of the Balearic Islands (IdISBa), 07120 Palma de Mallorca, Spain
| | - Jordi Salas-Salvadó
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain
- Departament de Bioquímica i Biotecnologia, Unitat de Nutrició, Universitat Rovira i Virgili, 43201 Reus, Spain
- Institut d'Investigació Sanitària Pere Virgili (IISPV), 43201 Reus, Spain
| | - Inmaculada Bautista
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 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, 35016 Las Palmas de Gran Canaria, Spain
| | - Jesús Vioque
- Instituto de Investigación Sanitaria y Biomédica de Alicante, Universidad Miguel Hernández (ISABIAL-UMH), 03550 Alicante, Spain
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, 28029 Madrid, Spain
| | - María Dolores Zomeño
- 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 Médica (IMIM), 08003 Barcelona, Spain
- School of Health Sciences, Blanquerna-Ramon Llull University, 08025 Barcelona, Spain
| | - Dolores Corella
- Department of Preventive Medicine, University of Valencia, 46100 Valencia, 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-IDIBELL, Hospitalet de Llobregat, 08907 Barcelona, Spain
| | - Aurora Bueno-Cavanillas
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, 28029 Madrid, Spain
- Department of Preventive Medicine and Public Health, University of Granada, 18016 Granada, Spain
| | - Lidia Daimiel
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain
- Nutritional Control of the Epigenome Group, Precision Nutrition and Obesity Program, IMDEA Food, CEI UAM + CSIC, 28049 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
| | - J Alfredo Martínez
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain
- Precision Nutrition and Cardiometabolic Health 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
| | - Stephanie Nishi
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain
- Departament de Bioquímica i Biotecnologia, Unitat de Nutrició, Universitat Rovira i Virgili, 43201 Reus, Spain
- Institut d'Investigació Sanitària Pere Virgili (IISPV), 43201 Reus, Spain
| | - Estefanía Herrera-Ramos
- 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, 35016 Las Palmas de Gran Canaria, Spain
| | - Sandra González-Palacios
- Instituto de Investigación Sanitaria y Biomédica de Alicante, Universidad Miguel Hernández (ISABIAL-UMH), 03550 Alicante, Spain
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, 28029 Madrid, Spain
| | - Montserrat 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 Médica (IMIM), 08003 Barcelona, Spain
| | - Eva M Asensio
- Department of Preventive Medicine, University of Valencia, 46100 Valencia, Spain
| | - Marta Fanlo-Maresma
- 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-IDIBELL, Hospitalet de Llobregat, 08907 Barcelona, Spain
| | - Naomi Cano-Ibáñez
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, 28029 Madrid, Spain
- Department of Preventive Medicine and Public Health, University of Granada, 18016 Granada, Spain
| | - Esther Cuadrado-Soto
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain
- Nutritional Control of the Epigenome Group, Precision Nutrition and Obesity Program, IMDEA Food, CEI UAM + CSIC, 28049 Madrid, Spain
- VALORNUT Research Group, Department of Nutrition and Food Science, Faculty of Pharmacy, Complutense University of Madrid, 28040 Madrid, 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
| | - 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 the Balearic Islands-IUNICS, 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 the 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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Gil-Peinado M, Alacreu M, Ramos H, Sendra-Lillo J, García C, García-Lluch G, Lopez de Coca T, Sala M, Moreno L. The A-to-Z factors associated with cognitive impairment. Results of the DeCo study. Front Psychol 2023; 14:1152527. [PMID: 37408963 PMCID: PMC10319401 DOI: 10.3389/fpsyg.2023.1152527] [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: 01/27/2023] [Accepted: 05/23/2023] [Indexed: 07/07/2023] Open
Abstract
Introduction Cognitive impairment (CI) is known to be mediated by several risk and protective factors, many of which are potentially modifiable. Therefore, it is important to have up-to-date studies that address a standard assessment of psychosocial, clinical and lifestyle variables. Materials and methods We conducted a cross-sectional observational study, with a 24-month timeframe, to estimate the relationship between risk and protective factors associated with dementia, according to the A-to-Z Dementia Knowledge. Participants were considered at CI risk if they tested positive for at least one of three validated CI screening tests: The Memory Impairment Screening, Short Portable Mental State Questionnaire, and Semantic Verbal Fluency. The A-to-Z data Collection included Mediterranean Diet Adherence Screener and Geriatric Depression Scale. Results The estimated prevalence of CI was 22.6% in a sample of 709 patients with an average of 69.3±10.3 years. The risk factors gradually associated with cognitive decline were hypertension, loneliness, and depression. In contrast, the protective factors gradually associated with less cognitive decline were internet use, reading, and intellectually stimulating jobs. Finally, living alone, having diabetes, taking benzodiazepines, and sleeping more than 9 h were statistically significant associated with CI, whereas to do memory training or a family history of dementia was characteristic of patients without CI. Conclusion A joint assessment of the influence of psychosocial, clinical, and lifestyle-related factors is needed to develop dementia prevention strategies.
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Affiliation(s)
- María Gil-Peinado
- Cátedra DeCo MICOF-CEU UCH, Universidad Cardenal Herrera-CEU, Valencia, Spain
- Muy Ilustre Colegio Oficial de Farmacéuticos, Valencia, Spain
| | - Mónica Alacreu
- Cátedra DeCo MICOF-CEU UCH, Universidad Cardenal Herrera-CEU, Valencia, Spain
- Department of Mathematics, Physics and Technological Sciences, Universidad CEU Cardenal Herrera, Valencia, Spain
| | - Hernán Ramos
- Cátedra DeCo MICOF-CEU UCH, Universidad Cardenal Herrera-CEU, Valencia, Spain
- Muy Ilustre Colegio Oficial de Farmacéuticos, Valencia, Spain
| | - José Sendra-Lillo
- Cátedra DeCo MICOF-CEU UCH, Universidad Cardenal Herrera-CEU, Valencia, Spain
- Muy Ilustre Colegio Oficial de Farmacéuticos, Valencia, Spain
| | - Cristina García
- Cátedra DeCo MICOF-CEU UCH, Universidad Cardenal Herrera-CEU, Valencia, Spain
| | - Gemma García-Lluch
- Cátedra DeCo MICOF-CEU UCH, Universidad Cardenal Herrera-CEU, Valencia, Spain
| | - Teresa Lopez de Coca
- Cátedra DeCo MICOF-CEU UCH, Universidad Cardenal Herrera-CEU, Valencia, Spain
- Department of Pharmacy, Universidad Cardenal Herrera-CEU, CEU Universities, Valencia, Spain
| | - Marta Sala
- Cátedra DeCo MICOF-CEU UCH, Universidad Cardenal Herrera-CEU, Valencia, Spain
| | - Lucrecia Moreno
- Cátedra DeCo MICOF-CEU UCH, Universidad Cardenal Herrera-CEU, Valencia, Spain
- Department of Pharmacy, Universidad Cardenal Herrera-CEU, CEU Universities, Valencia, Spain
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8
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Aldhirgham TM, Almutairi LA, Alraqea AS, Alqahtani AS. Online Arabic Beverage Frequency Questionnaire (ABFQ): evaluation of validity and reliability. Nutr J 2023; 22:20. [PMID: 36944984 PMCID: PMC10031979 DOI: 10.1186/s12937-022-00830-9] [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: 10/27/2021] [Accepted: 12/06/2022] [Indexed: 03/23/2023] Open
Abstract
BACKGROUND Obesity and chronic diseases are significant public health issues in the Middle East and North Africa region. A robust body of evidence demonstrated the association between beverage consumption, obesity, and chronic diseases. Therefore, the assessment of beverage consumption is gaining more interest in health policy development, food industry partnerships, research expansion and community involvement. Although beverage-consumption assessment tools have been developed for various populations, none were developed for the Arabic population. In this study, we developed and validated an online Arabic Beverage Frequency Questionnaire (ABFQ) to assess the total beverage intake among Arabic speaking population. METHODS A cross-sectional validation study was conducted among healthy adults aged between 18 and 55 years. Participants (n = 49) completed a 24-item ABFQ on two occasions and provided one 24-h urine sample. For validity, total beverage consumption (ABFQ1) was assessed against a 24-h urine sample using an osmolality test and correlation analysis. Reliability was assessed by comparing the participants' consumption in total and for every 24 individual items from ABFQ1 with the total and individual items in ABFQ2 using correlation and paired sample t-test. RESULTS The average daily consumption of beverages was 1504 ml/day, while the average urine osmolality/kg was 614. The validity assessment between ABFQ and urine osmolality indicates a negative correlation. However, the correlation was week and not statistically significant (rs = -0.2, p = 0.12). In reliability test, correlation analysis was positive and acceptable in all beverage categories (rs = 0.4 - 0.9; all p < 0.05) except flavored milk (rs = 0.2; p < 0.181) and sweetened coffee (rs = 0.3; p < 0.022). Furthermore, no significant differences were found between the means of total consumption in both ABFQ1 and ABFQ2. CONCLUSIONS The finding of this study suggest that the ABFQ is a reliable reproducible tool for assessing beverage consumption among Arabic-speaking consumers. However, the survey could not be validated using 24-h urine osmolality only and other methods such as multi dietary records may use in future re-assessment.
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Affiliation(s)
- Tahrir M Aldhirgham
- Executive Department of Research and Studies, Saudi Food and Drug Authority (SFDA), Northern Ring Branch Rd, Hitteen Dist, Riyadh, 7148-13513, Saudi Arabia.
| | - Lulu A Almutairi
- Executive Department of Research and Studies, Saudi Food and Drug Authority (SFDA), Northern Ring Branch Rd, Hitteen Dist, Riyadh, 7148-13513, Saudi Arabia
| | - Atheer S Alraqea
- Executive Department of Research and Studies, Saudi Food and Drug Authority (SFDA), Northern Ring Branch Rd, Hitteen Dist, Riyadh, 7148-13513, Saudi Arabia
| | - Amani S Alqahtani
- Executive Department of Research and Studies, Saudi Food and Drug Authority (SFDA), Northern Ring Branch Rd, Hitteen Dist, Riyadh, 7148-13513, Saudi Arabia
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9
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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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10
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Rogerson G, Whelan M, Gibson R. A systematic review of measurement methods used to estimate fluid and beverage intake in free-living, working-age adults. J Hum Nutr Diet 2022. [PMID: 36514191 DOI: 10.1111/jhn.13127] [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: 08/30/2022] [Accepted: 12/05/2022] [Indexed: 12/15/2022]
Abstract
BACKGROUND Beverage intake in employees is important to quantify due to the potential of dehydration to increase the risk of errors and reduced work performance. This systematic review aimed to (1) characterise existing fluid intake measurement tools used in the workplace setting or among free-living, healthy adults of working age and (2) report the current validation status of available assessment tools for use in a UK setting. METHODS Three electronic databases were searched for publications measuring beverage intake using a defined tool or method. Additional studies were identified by hand from trial registers, grey literature and reference lists. Eligibility was determined using predefined inclusion/exclusion criteria. Study quality was assessed using a modified Strengthening the Reporting of Observational Studies in Epidemiology framework. Narrative synthesis was performed. RESULTS The review identified 105 studies. The most frequently reported beverage assessment methods were total diet diaries/records (n = 22), fluid specific diaries/records (n = 18), food and fluid frequency questionnaires (n = 17), beverage-specific frequency questionnaires (n = 23) and diet recalls (n = 11). General dietary measurement tools (measuring beverages as part of total diet) were used in 60 studies, and 45 studies used a beverage-specific tool. This review identified 18 distinct dietary assessment tools, of which 6 were fluid/beverage specific. Twelve tools published relative validity for a beverage-related variable and seven tools for total daily fluid intake (from whole diet or from beverages only). CONCLUSIONS Several fluid intake assessment tools were identified; however, few have been fully evaluated for total beverage intake, and none in a UK working population.
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Affiliation(s)
- Georgia Rogerson
- Department of Nutritional Sciences, King's College London, London, UK
| | - Megan Whelan
- Department of Nutritional Sciences, King's College London, London, UK
| | - Rachel Gibson
- Department of Nutritional Sciences, King's College London, London, UK
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11
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García C, Moreno L, Alacreu M, Muñoz FJ, Martínez LA. Addressing Psychosocial Factors in Cognitive Impairment Screening from a Holistic Perspective: The DeCo-Booklet Methodology Design and Pilot Study. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:12911. [PMID: 36232215 PMCID: PMC9565987 DOI: 10.3390/ijerph191912911] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/07/2022] [Revised: 10/01/2022] [Accepted: 10/07/2022] [Indexed: 06/16/2023]
Abstract
Cognitive impairment (CI), an intermediate phase between the decline in physiological cognition and dementia, is known to be mediated by a variety of risk and protective factors, with age being the most influential of these. The multifactorial nature of CI and the worldwide phenomenon of an aging population makes decoupling old age from disease through the concept of healthy aging (HA) a matter of major interest. Focusing on psychosocial variables and psychological constructs, here we designed and piloted a data collection booklet (DeCo-B) to assess CI and HA from a holistic perspective. The DeCo-B comprises six sections: sociodemographic factors, CI, meaning in life, psychosocial factors, health problems, and lifestyle. The estimated prevalence of CI and HA in our cohort were 24.4% and 6.6%, respectively. Spearman correlations mainly identified pairwise associations between the meaning in life domains and psychosocial variables. Moreover, age, marital status, purpose in life, resilience, chronic pain, cognitive reserve, and obstructive sleep apnea were significantly associated with an increased risk of CI. Our results showed that DeCo-B is a suitable tool for researching how modifiable risk and protective factors influence cognitive status. The complex interrelationships between variables should be further investigated and, for practical reasons, the questionnaire should be optimized in future work.
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Affiliation(s)
- Cristina García
- Cátedra DeCo MICOF-CEU UCH, Universidad Cardenal Herrera-CEU, 46115 Valencia, Spain
- Department of Pharmacy, Universidad Cardenal Herrera-CEU, CEU Universities, 46115 Valencia, Spain
- Community Pharmacist, 02161 Albacete, Spain
| | - Lucrecia Moreno
- Cátedra DeCo MICOF-CEU UCH, Universidad Cardenal Herrera-CEU, 46115 Valencia, Spain
- Department of Pharmacy, Universidad Cardenal Herrera-CEU, CEU Universities, 46115 Valencia, Spain
| | - Mónica Alacreu
- Cátedra DeCo MICOF-CEU UCH, Universidad Cardenal Herrera-CEU, 46115 Valencia, Spain
- Embedded Systems and Artificial Intelligence Group, Universidad Cardenal Herrera-CEU, 46115 Valencia, Spain
| | - Francisco J. Muñoz
- Cátedra DeCo MICOF-CEU UCH, Universidad Cardenal Herrera-CEU, 46115 Valencia, Spain
- Embedded Systems and Artificial Intelligence Group, Universidad Cardenal Herrera-CEU, 46115 Valencia, Spain
| | - Luis A. Martínez
- Cátedra DeCo MICOF-CEU UCH, Universidad Cardenal Herrera-CEU, 46115 Valencia, Spain
- Community Pharmacist, 02161 Albacete, Spain
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12
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Mizelle E, Larson KL, Bolin LP, Kearney GD. Fluid Intake and Hydration Status Among North Carolina Farmworkers: A Mixed Methods Study. Workplace Health Saf 2022; 70:532-541. [PMID: 36002982 DOI: 10.1177/21650799221117273] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
BACKGROUND Agricultural workers are disproportionately at risk for heat-related morbidity and mortality. The purpose of this study was to explore how sociocultural and occupational factors, and environmental heat stress influenced fluid intake and hydration status among Latino farmworkers working in eastern North Carolina. METHODS A community-informed, mixed methods research study was conducted in partnership with staff at a federally qualified health center. In summer 2020, we recruited Latino farmworkers at migrant camps. Twenty-eight male, migrant farmworkers participated in focus group discussions and 30 completed surveys and provided urine specimens. Wet bulb globe temperatures were measured in fields where workers labored. Content analysis and parametric analyses were performed. Data integration was completed using a meta-matrix. RESULTS Prior to work, 46.7% of farmworkers' urine specific gravity measurements indicated dehydration, which increased to 100% after work. The farmworkers spent between 2 and 7.5 hours of their day working in conditions above the recommended limits for workplace heat exposure. Farmworkers described exposure to extreme heat and inconsistent occupational policy compliance. Farmworkers expressed the opportunity to drink water but accessibility and poor water quality limited hydration. The integrated data supported congruent findings of extreme heat, few work breaks, and substandard housing. CONCLUSION/APPLICATION TO PRACTICE Farmworkers are dehydrated at work, placing them at higher risk for heat-related illness (HRI). By engaging with agricultural stakeholders, occupational health nurses can combine efforts and advocate for effective health and safety work policies to reduce HRIs and deaths among farmworkers. Legislation stipulating cooling and hydration practices would support safer work environments.
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13
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Baseline drinking water consumption and changes in body weight and waist circumference at 2-years of follow-up in a senior Mediterranean population. Clin Nutr 2021; 40:3982-3991. [PMID: 34139471 DOI: 10.1016/j.clnu.2021.05.014] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2021] [Revised: 05/12/2021] [Accepted: 05/15/2021] [Indexed: 11/22/2022]
Abstract
BACKGROUND & AIMS The association between drinking water consumption and adiposity has been poorly explored. Therefore, we aimed to analyse the associations between the frequency of drinking water consumption and body weight and waist circumference changes in an elderly Mediterranean cohort. METHODS A total of 1832 elderly participants (aged 55-75 years) with metabolic syndrome from the PREDIMED-Plus study with baseline data on drinking water and other beverages assessed by a validated 32-item Spanish fluid-intake questionnaire and with data on body weight (BW) and waist circumference (WC) at 1-year and 2-year were included in these prospective analyses. Multivariable linear regression models were fitted to assess the β-coefficients and 95% confidence interval (CI) for BW and WC changes in terms of categories of baseline drinking water consumption (tap water and bottled water). The theoretical effect on BW and WC of replacing several beverages with drinking water was assessed using mathematical models. RESULTS The baseline frequency of drinking water consumption was inversely associated with 1-year and 2-year changes in BW. β-coefficients (95%CI) across categories of water consumption (<2.5, 2.5 to <5, 5 to < 7.5, ≥7.5 servings/d) expressed in % of weight changes at 2 years of follow-up were 0.0, -0.80 (-1.48, -0.12), -1.36 (-2.18, -0.54), and -1.97 (-3.09, -0.86), respectively. Individuals in the two highest categories of drinking water consumption (5 to < 7, and ≥7.5 servings/d) also showed a higher decrease in WC (expressed as % of change) after 2 years of follow-up: -1.11 (-1.96, -0.25) and -1.45 (-2.66, -0.24) compared to the reference intake (<2.5 servings/day), after adjustment for potential confounding factors. The theoretical replacement of soups, beers, spirits, hot beverages, dairy beverages, and other beverages group with drinking water was associated with greater reductions in BW at one- and two-years of follow-up. CONCLUSIONS Drinking water consumption was inversely associated with 2-year adiposity changes in an elderly Mediterranean cohort at high cardiovascular risk. Our results also suggest that the consumption of drinking water instead of energy-containing beverages is associated with lower weight gain. THE TRIAL REGISTRATION ISRCTN89898870.
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14
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Fausnacht AG, Myers EA, Hess EL, Davy BM, Hedrick VE. Update of the BEVQ-15, a beverage intake questionnaire for habitual beverage intake for adults: determining comparative validity and reproducibility. J Hum Nutr Diet 2020; 33:729-737. [PMID: 32283572 DOI: 10.1111/jhn.12749] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
INTRODUCTION The BEVQ-15 is a beverage intake questionnaire that estimates the habitual average daily intake of 15 beverage categories (kcal and fl oz), as well as total sugar-sweetened beverages (SSB) and total beverages. However, subsequent to its initial validation in 2010, it has not been updated. The present study aimed to assess the convergent validity and reproducibility of the updated form of the BEVQ-15 to better reflect current beverage consumption trends. METHODS The study population included adults (n = 50) aged ≥18 years, recruited from a local university community. Participation consisted of three laboratory visits within a 4-week period in which the updated BEVQ-15 was administered during the first and last visit and four 24-h dietary recalls were collected. BEVQ-15 modifications included removing limits of 60 fl oz per beverage, adding a nut milk category, and providing creamer and sweetener preferences for coffee/tea categories. Convergent validity was assessed by comparing reported beverage intake between the BEVQ-15 and dietary recalls. Reproducibility was assessed by comparing both BEVQ-15 administrations. Analyses included descriptive statistics, Wilcoxon signed rank tests, Bland-Altman plots and Spearman's correlations. RESULTS For validity, Bland-Altman plot agreement between the BEVQ-15 and recalls was in the range 92-96% for total SSB and total beverage intake. For reproducibility, all beverage categories, total SSB, and total beverage intake were significantly correlated between the two BEVQ-15 administrations (r = 0.41-0.85; P ≤ 0.01). CONCLUSIONS This updated version of the BEVQ-15 demonstrated moderate convergent validity and reproducibility for total beverage consumption among well-educated southwest Virginia adults.
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Affiliation(s)
- A G Fausnacht
- Department of Human Nutrition, Foods, and Exercise, Virginia Tech, Blacksburg, VA, USA
| | - E A Myers
- Department of Human Nutrition, Foods, and Exercise, Virginia Tech, Blacksburg, VA, USA
| | - E L Hess
- Department of Human Nutrition, Foods, and Exercise, Virginia Tech, Blacksburg, VA, USA
| | - B M Davy
- Department of Human Nutrition, Foods, and Exercise, Virginia Tech, Blacksburg, VA, USA
| | - V E Hedrick
- Department of Human Nutrition, Foods, and Exercise, Virginia Tech, Blacksburg, VA, USA
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15
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Paz-Graniel I, Babio N, Serra-Majem L, Vioque J, Zomeño MD, Corella D, Díaz-López A, Pintó X, Bueno-Cavanillas A, Tur JA, Daimiel L, Martínez JA, Becerra-Tomás N, Navarrete-Muñoz EM, Schröder H, Fernández-Carrión R, Ortiz-Andrellucchi A, Corbella E, Riquelme-Gallego B, Gallardo-Alfaro L, Micó V, Zulet M, Barrubés L, Fitó M, Ruiz-Canela M, Salas-Salvadó J. Fluid and total water intake in a senior mediterranean population at high cardiovascular risk: demographic and lifestyle determinants in the PREDIMED-Plus study. Eur J Nutr 2019; 59:1595-1606. [PMID: 31154492 DOI: 10.1007/s00394-019-02015-3] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2019] [Accepted: 05/28/2019] [Indexed: 11/28/2022]
Abstract
PURPOSE We aimed to evaluate associations between compliance with recommendations for total water intake (TWI) and total water intake from fluids (TWIF), and some socio-demographic and lifestyle factors of a senior Mediterranean population at high cardiovascular risk. METHODS Cross-sectional analysis with data of 1902 participants from the PREDIMED-Plus study. A validated 32-item Spanish fluid-intake questionnaire was used to assess beverage consumption and water intake. Multivariable logistic regression models were used to assess the odds ratio (OR) and the 95% confidence interval (CI) for complying with European Food Safety Agency recommendations for TWI and TWIF according to various socio-demographic and lifestyle factors, and for the joint associations of Mediterranean diet (MedDiet) adherence and moderate-vigorous physical activity (MVPA). RESULTS The mean total volume of fluid intake in the population studied was 1934 ± 617 mL/day. Water was the most frequently consumed beverage. Significant differences between sex were only observed in alcoholic and hot beverage consumption. Compliance with TWIF was associated with being women (OR 3.02; 2.40, 3.80), high adherence to MedDiet (OR 1.07; 1.02, 1.12), and participants who were more engaged in physical activity (PA) (OR 1.07; 1.02, 1.13). Age was inversely associated (OR 0.96; 0.94, 0.98). Similar results for TWI recommendations compliance were observed in relation to being women (OR 5.34; 3.85, 7.42), adherence to MedDiet (OR 1.16; 1.02, 1.31) and PA (OR 1.07; 1.00, 1.15). The joint association of PA and MedDiet, showed that participants with higher adherence to MedDiet and meeting WHO recommendations for MVPA complied better with the TWI recommendations (OR 1.66; 1.19, 2.32). CONCLUSIONS High compliance with recommendations for TWI was associated with being a woman, and a healthy lifestyle characterized by high adherence to the MedDiet and PA.
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Affiliation(s)
- Indira Paz-Graniel
- Departament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana, Universitat Rovira i Virgili, University Hospital of Sant Joan de Reus, IISPV, Reus, Spain
| | - Nancy Babio
- Departament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana, Universitat Rovira i Virgili, University Hospital of Sant Joan de Reus, IISPV, Reus, Spain. .,Centro de Investigación Biomédica en Red Fisiopatologia de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain.
| | - Luís Serra-Majem
- Centro de Investigación Biomédica en Red Fisiopatologia de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain.,Research Institute of Biomedical and Health Sciences (IUIBS), Preventive Medicine Service, University of Las Palmas de Gran Canaria, Centro Hospitalario Universitario Insular Materno Infantil (CHUIMI), Canarian Health Service, Las Palmas, Spain
| | - Jesús Vioque
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain.,Miguel Hernandez University, ISABIAL-FISABIO, Alicante, Spain
| | - Maria Dolores Zomeño
- Cardiovascular Risk and Nutrition Research Group (CARIN), Hospital del Mar Research Institute (IMIM), Barcelona, Spain.,Blanquerna, School of Health Sciences, Universitat Ramon Llull, Barcelona, Spain
| | - Dolores Corella
- Centro de Investigación Biomédica en Red Fisiopatologia de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain.,Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - Andrés Díaz-López
- Departament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana, Universitat Rovira i Virgili, University Hospital of Sant Joan de Reus, IISPV, Reus, Spain.,Centro de Investigación Biomédica en Red Fisiopatologia de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
| | - Xavier Pintó
- Centro de Investigación Biomédica en Red Fisiopatologia 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
| | - Aurora Bueno-Cavanillas
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain.,Department of Preventive Medicine, University of Granada, Granada, Spain
| | - Josep A Tur
- Centro de Investigación Biomédica en Red Fisiopatologia 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, Palma de Mallorca, Spain
| | - Lidia Daimiel
- Nutritional Genomics and Epigenomics Group, IMDEA Food, CEI UAM + CSIC, Madrid, Spain
| | - J Alfredo Martínez
- Centro de Investigación Biomédica en Red Fisiopatologia de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain.,Nutritional Genomics and Epigenomics Group, IMDEA Food, CEI UAM + CSIC, Madrid, Spain.,Department of Nutrition, Food Science and Physiology, University of Navarra, IDISNA, Pamplona, Spain
| | - Nerea Becerra-Tomás
- Departament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana, Universitat Rovira i Virgili, University Hospital of Sant Joan de Reus, IISPV, Reus, Spain.,Centro de Investigación Biomédica en Red Fisiopatologia de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
| | - Eva Mª Navarrete-Muñoz
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain.,Miguel Hernandez University, ISABIAL-FISABIO, Alicante, Spain
| | - Helmut Schröder
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain.,Cardiovascular Risk and Nutrition Research Group (CARIN), Hospital del Mar Research Institute (IMIM), Barcelona, Spain
| | - Rebeca Fernández-Carrión
- Centro de Investigación Biomédica en Red Fisiopatologia de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain.,Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - Adriana Ortiz-Andrellucchi
- Centro de Investigación Biomédica en Red Fisiopatologia de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain.,Research Institute of Biomedical and Health Sciences (IUIBS), Preventive Medicine Service, University of Las Palmas de Gran Canaria, Centro Hospitalario Universitario Insular Materno Infantil (CHUIMI), Canarian Health Service, Las Palmas, Spain
| | - Emili Corbella
- Centro de Investigación Biomédica en Red Fisiopatologia 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
| | - Blanca Riquelme-Gallego
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain.,Department of Preventive Medicine, University of Granada, Granada, Spain
| | - Laura Gallardo-Alfaro
- Centro de Investigación Biomédica en Red Fisiopatologia 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, Palma de Mallorca, Spain
| | - Víctor Micó
- Nutritional Genomics and Epigenomics Group, IMDEA Food, CEI UAM + CSIC, Madrid, Spain
| | - Marian Zulet
- Centro de Investigación Biomédica en Red Fisiopatologia de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain.,Department of Nutrition, Food Science and Physiology, University of Navarra, IDISNA, Pamplona, Spain
| | - Laura Barrubés
- Departament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana, Universitat Rovira i Virgili, University Hospital of Sant Joan de Reus, IISPV, Reus, Spain.,Centro de Investigación Biomédica en Red Fisiopatologia de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
| | - Montserrat Fitó
- Centro de Investigación Biomédica en Red Fisiopatologia de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain.,Cardiovascular Risk and Nutrition Research Group (CARIN), Hospital del Mar Research Institute (IMIM), Barcelona, Spain
| | - Miguel Ruiz-Canela
- Centro de Investigación Biomédica en Red Fisiopatologia de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain.,Department of Preventive Medicine and Public Health, University of Navarra, IDISNA (Instituto de Investigación Sanitaria de Navarra), Pamplona, Spain
| | - Jordi Salas-Salvadó
- Departament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana, Universitat Rovira i Virgili, University Hospital of Sant Joan de Reus, IISPV, Reus, Spain. .,Centro de Investigación Biomédica en Red Fisiopatologia de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain.
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Martínez-González MA, Buil-Cosiales P, Corella D, Bulló M, Fitó M, Vioque J, Romaguera D, Martínez JA, Wärnberg J, López-Miranda J, Estruch R, Bueno-Cavanillas A, Arós F, Tur JA, Tinahones F, Serra-Majem L, Martín V, Lapetra J, Vázquez C, Pintó X, Vidal J, Daimiel L, Delgado-Rodríguez M, Matía P, Ros E, Fernández-Aranda F, Botella C, Portillo MP, Lamuela-Raventós RM, Marcos A, Sáez G, Gómez-Gracia E, Ruiz-Canela M, Toledo E, Alvarez-Alvarez I, Díez-Espino J, Sorlí JV, Basora J, Castañer O, Schröder H, Navarrete-Muñoz EM, Zulet MA, García-Rios A, Salas-Salvadó J, Corella D, Estruch R, Fitó M, Martínez-González MA, Ros E, Salas-Salvadó J, Babio N, Ros E, Sánchez-Tainta A, Martínez-González MA, Fitó M, Schröder H, Marcos A, Corella D, Wärnberg J, Martínez-González MA, Estruch R, Fernández-Aranda F, Botella C, Salas-Salvadó J, Razquin C, Bes-Rastrollo M, Sanchez Tainta A, Vázquez Z, SanJulian Aranguren B, Goñi E, Goñi L, Barrientos I, Canales M, Sayón-Orea MC, Rico A, Basterra Gortari J, Garcia Arellano A, Lecea-Juarez O, Carlos Cenoz-Osinaga J, Bartolome-Resano J, Sola-Larraza† A, Lozano-Oloriz E, Cano-Valles B, Eguaras S, Güeto V, Pascual Roquet-Jalmar E, Galilea-Zabalza I, Lancova H, Ramallal R, Garcia-Perez ML, Estremera-Urabayen V, Ariz-Arnedo MJ, Hijos-Larraz C, Fernandez Alfaro C, Iñigo-Martinez B, Villanueva Moreno R, Martin-Almendros S, Barandiaran-Bengoetxea L, Fuertes-Goñi C, Lezaun-Indurain A, Guruchaga-Arcelus MJ, Olmedo-Cruz O, Iñigo-Martínez B, Escriche-Erviti L, Ansorena-Ros R, Sanmatin-Zabaleta R, Apalategi-Lasa J, Villanueva-Telleria J, Hernández-Espinosa MM, Arroyo-Bergera I, Herrera-Valdez L, Dorronsoro-Dorronsoro L, González JI, Sorlí JV, Portolés O, Fernández-Carrión R, Ortega-Azorín C, Barragán R, Asensio EM, Coltell O, Sáiz C, Osma R, Férriz E, González-Monje I, Giménez-Fernández F, Quiles L, Carrasco P, San Onofre N, Carratalá-Calvo A, Valero-Barceló C, Antón F, Mir C, Sánchez-Navarro S, Navas J, González-Gallego I, Bort-Llorca L, Pérez-Ollero L, Giner-Valero M, Monfort-Sáez R, Nadal-Sayol J, Pascual-Fuster V, Martínez-Pérez M, Riera C, Belda MV, Medina A, Miralles E, Ramírez-Esplugues MJ, Rojo-Furió M, Mattingley G, Delgado MA, Pages MA, Riofrío Y, Abuomar L, Blasco-Lafarga N, Tosca R, Lizán L, Guillem-Saiz P, Valcarce AM, Medina MD, Monfort R, de Valcárcel S, Tormo N, Felipe-Román O, Lafuente S, Navío EI, Aldana G, Crespo JV, Llosa JL, González-García L, Raga-Marí R, Pedret Llaberia R, Gonzalez R, Sagarra Álamo R, París Palleja F, Balsells J, Roca JM, Basora Gallisa T, Vizcaino J, Llobet Alpizarte P, Anguera Perpiñá C, Llauradó Vernet M, Caballero C, Garcia Barco M, Morán Martínez MD, García Rosselló J, Del Pozo A, Poblet Calaf C, Arcelin Zabal P, Floresví X, Ciutat Benet M, Palau Galindo A, Cabré Vila JJ, Dolz Andrés F, Boj Casajuana J, Ricard M, Saiz F, Isach A, Sanchez Marin Martinez M, Bulló M, Babio N, Becerra-Tomás N, Mestres G, Basora J, Mena-Sánchez G, Barrubés Piñol L, Gil Segura M, Papandreou C, Rosique Esteban N, Chig S, Abellán Cano I, Ruiz García V, Salas-Huetos A, Hernandez P, Canudas S, Camacho-Barcia L, García-Gavilán J, Diaz A, Castañer O, Muñoz MA, Zomeño MD, Hernaéz A, Torres L, Quifer M, Llimona R, Gal LA, Pérez A, Farràs M, Elosua R, Marrugat J, Vila J, Subirana I, Pérez S, Muñoz MA, Goday A, Chillaron Jordan JJ, Flores Lerroux JA, Benaiges Boix D, Farré M, Menoyo E, Muñoz-Aguayo D, Gaixas S, Blanchart G, Sanllorente A, Soria M, Valussi J, Cuenca A, Forcano L, Pastor A, Boronat A, Tello S, Cabañero M, Franco L, Schröder H, De la Torre R, Medrano C, Bayó J, García MT, Robledo V, Babi P, Canals E, Soldevila N, Carrés L, Roca C, Comas MS, Gasulla G, Herraiz X, Martínez A, Vinyoles E, Verdú JM, Masague Aguade M, Baltasar Massip E, Lopez Grau M, Mengual M, Moldon V, Vila Vergaz M, Cabanes Gómez Ciurana R, Gili Riu M, Palomeras Vidal A, Garcia de la Hera M, González Palacios S, Torres Collado L, Valera Gran D, Compañ Gabucio L, Oncina Canovas A, Notario Barandiaran L, Orozco Beltran D, Pertusa Martínez S, Cloquell Rodrigo B, Hernándis Marsán MV, Asensio A, Altozano Rodado MC, Ballester Baixauli JJ, Fernándis Brufal N, Martínez Vergara MC, Román Maciá J, Candela García I, Pedro Cases Pérez E, Tercero Maciá C, Mira Castejón LA, de los Ángeles García García I, Zazo JM, Gisbert Sellés C, Sánchez Botella C, Fiol M, Moñino M, Colom A, Konieczna J, Morey M, Zamanillo R, Galmés AM, Pereira V, Martín MA, Yáñez A, Llobera J, Ripoll J, Prieto R, Grases F, Costa A, Fernández-Palomeque C, Fortuny E, Noris M, Munuera S, Tomás F, Fiol F, Jover A, Janer JM, Vallespir C, Mattei I, Feuerbach N, del Mar Sureda M, Vega S, Quintana L, Fiol A, Amador M, González S, Coll J, Moyá A, Abete I, Cantero I, Cristobo C, Ibero-Baraibar I, Lezáun Burgui MD, Goñi Ruiz N, Bartolomé Resano R, Cano Cáceres E, Elcarte López T, Echarte Osacain E, Pérez Sanz B, Blanco Platero I, Andueza Azcárate SA, Gimeno Aznar A, Ursúa Sesma E, Ojeda Bilbao B, Martinez Jarauta J, Ugalde Sarasa L, Rípodas Echarte B, Güeto Rubio MV, Fernández-Crehuet Navajas J, Gutiérrez Bedmar M, García Rodriguez A, Mariscal Larrubia A, Carnero Varo M, Muñoz Bravo C, Barón-López FJ, Fernández García JC, Pérez-Farinós N, Moreno-Morales N, del C Rodríguez-Martínez M, Pérez-López J, Benavente-Marín JC, Crespo Oliva E, Contreras Fernández E, Carmona González FJ, Carabaño Moral R, Torres Moreno S, Martín Ruíz MV, Alcalá Cornide M, Fuentes Gómez V, Criado García J, Jiménez Morales AI, Delgado Casado N, Ortiz Morales A, Torres Peña JD, Gómez Delgado FJ, Rodríguez Cantalejo F, Caballero Villaraso J, Alcalá JF, Peña Orihuela PJ, Quintana Navarro G, Casas R, Domenech M, Viñas C, Castro-Barquero S, Ruiz-León AM, Sadurní M, Frontana G, Villanueva P, Gual M, Soriano R, Camafort M, Sierra C, Sacanella E, Sala-Vila A, Cots JM, Sarroca I, García M, Bermúdez N, Pérez A, Duaso I, de la Arada A, Hernández R, Simón C, de la Poza MA, Gil I, Vila M, Iglesias C, Assens N, Amatller M, Rams LL, Benet T, Fernández G, Teruel J, Azorin A, Cubells M, López D, Llovet JM, Gómez ML, Climente P, de Paula L, Soto J, Carbonell C, Llor C, Abat X, Cama A, Fortuny M, Domingo C, Liberal AI, Martínez T, Yañez E, Nieto MJ, Pérez A, Lloret E, Carrazoni C, Belles AM, Olmos C, Ramentol M, Capell MJ, Casas R, Giner I, Muñoz A, Martín R, Moron E, Bonillo A, Sánchez G, Calbó C, Pous J, Massip M, García Y, Massagué MC, Ibañez R, Llaona J, Vidal T, Vizcay N, Segura E, Galindo C, Moreno M, Caubet M, Altirriba J, Fluxà G, Toribio P, Torrent E, Anton JJ, Viaplana A, Vieytes G, Duch N, Pereira A, Moreno MA, Pérez A, Sant E, Gené J, Calvillo H, Pont F, Puig M, Casasayas M, Garrich A, Senar E, Martínez A, Boix I, Sequeira E, Aragunde V, Riera S, Salgado M, Fuentes M, Martín E, Ubieto A, Pallarés F, Sala C, Abilla A, Moreno S, Mayor E, Colom T, Gaspar A, Gómez A, Palacios L, Garrigosa R, García Molina L, Riquelme Gallego B, Cano Ibañez N, Maldonado Calvo A, López Maldonado A, Garrido EM, Baena Dominguez A, García Jiménez F, Thomas Carazo E, Jesús Turnes González A, González Jiménez F, Padilla Ruiz F, Machado Santiago J, Martínez Bellón MD, Pueyos Sánchez A, Arribas Mir L, Rodríguez Tapioles R, Dorador Atienza F, Baena Camus L, Osorio Martos C, Rueda Lozano D, López Alcázar M, Ramos Díaz F, Cruz Rosales Sierra M, Alguacil Cubero P, López Rodriguez A, Guerrero García F, Tormo Molina J, Ruiz Rodríguez F, Rekondo J, Salaverria I, Alonso-Gómez A, Belló MC, Loma-Osorio A, Tojal L, Bruyel P, Goicolea L, Sorto C, Casi Casanellas A, Arnal Otero ML, Ortueta Martínez De Arbulo J, Vinagre Morgado J, Romeo Ollora J, Urraca J, Sarriegui Carrera MI, Toribio FJ, Magán E, Rodríguez A, Castro Madrid S, Gómez Merino MT, Rodríguez Jiménez M, Gutiérrez Jodra M, López Alonso B, Iturralde Iriso J, Pascual Romero C, Izquierdo De La Guerra A, Abbate M, Aguilar I, Angullo E, Arenas A, Argelich E, Bibiloni MM, Bisbal Y, Bouzas C, Busquets C, Capó X, Carreres S, De la Peña A, Gallardo L, Gámez JM, García B, García C, Julibert A, Llompart I, Mascaró CM, Mateos D, Montemayor S, Pons A, Ripoll T, Rodríguez T, Salaberry E, Sureda A, Tejada S, Ugarriza L, Valiño L, Bernal López MR, Macías González M, Ruiz Nava J, Fernández García JC, Muñoz Garach A, Vilches Pérez A, González Banderas A, Alcaide Torres J, Vargas Candela A, León Fernández M, Hernández Robles R, Santamaría Fernández S, Marín JM, Valdés Hernández S, Villalobos JC, Ortiz A, Álvarez-Pérez J, Díaz Benítez EM, Díaz-Collado F, Sánchez-Villegas A, Pérez-Cabrera J, Casañas-Quintana LT, García-Guerra RB, Bautista-Castaño I, Ruano-Rodríguez C, Sarmiento de la Fe F, García-Pastor JA, Macías-Gutiérrez B, Falcón-Sanabria I, Simón-García C, Santana-Santana AJ, Álvarez-Álvarez JB, Díaz-González BV, Castillo Anzalas JM, Sosa-Also RE, Medina-Ponce J, Abajo Olea S, Adlbi Sibai A, Aguado Arconada A, Álvarez L, Carriedo Ule E, Escobar Fernández M, Ferradal García JI, Fernández Vázquez JP, García González M, González Donquiles C, González Quintana C, González Rivero F, Lavinia Popescu M, López Gil JI, López de la Iglesia J, Marcos Delgado A, Merino Acevedo C, Reguero Celada S, Rodríguez Bul M, Vilorio-Marqués L, Santos-Lozano JM, Miró-Moriano L, Domínguez-Espinaco C, Vaquero-Díaz S, García-Corte FJ, Santos-Calonge A, Toro-Cortés C, Pelegrina-López N, Urbano-Fernández V, Ortega-Calvo M, Lozano-Rodríguez J, Rivera-Benítez I, Caballero-Valderrama M, Iglesias-Bonilla P, Román-Torres P, Corchado-Albalat Y, Mayoral-Sánchez E, de Cos AI, Gutierrez S, Artola S, Galdon A, Gonzalo I, Más S, Sierra R, Luca B, Prieto L, Galera A, Gimenez-Gracia M, Figueras R, Poch M, Freixedas R, Trias F, Sarasa I, Fanlo M, Lafuente H, Liceran M, Rodriguez-Sanchez A, Pallarols C, Monedero J, Corbella X, Corbella E, Altés A, Vinagre I, Mestres C, Viaplana J, Serra M, Vera J, Freitas T, Ortega E, Pla I, Ordovás JM, Micó V, Berninches L, Concejo MJ, Muñoz J, Adrián M, de la Fuente Y, Albertos C, Villahoz E, Cornejo ML, Gaforio JJ, Moraleda S, Liétor N, Peis JI, Ureña T, Rueda M, Ballesta MI, Moreno Lopera C, Aragoneses Isabel C, Sirur Flores MA, Ceballos de Diego M, Bescos Cáceres T, Peña Cereceda Y, Martínez Abad M, Cabrera Vela R, González Cerrajero M, Rubio Herrera MA, Torrego Ellacuría M, Barabash Bustelo A, Ortiz Ramos M, Garin Barrutia U, Baños R, García-Palacios A, Cerdá Micó C, Estañ Capell N, Iradi A, Fandos Sánchez M. Cohort Profile: Design and methods of the PREDIMED-Plus randomized trial. Int J Epidemiol 2018; 48:387-388o. [PMID: 30476123 DOI: 10.1093/ije/dyy225] [Citation(s) in RCA: 166] [Impact Index Per Article: 27.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/08/2018] [Indexed: 01/04/2023] Open
Affiliation(s)
- Miguel A 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, University of Navarra, IDISNA, Pamplona, Spain
- Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - Pilar Buil-Cosiales
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Preventive Medicine and Public Health, University of Navarra, IDISNA, Pamplona, Spain
- Atención Primaria, Servicio Navarro de Salud-Osasunbidea, Pamplona, 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
| | - Monica Bulló
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Rovira i Virgili University, Department of Biochemistry and Biotechnology, Human Nutrition Unit, IISPV, Hospital Universitari Sant Joan de Reus, Reus, Spain
| | - Montserrat 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
| | - Jesús Vioque
- CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Miguel Hernandez University, ISABIAL-FISABIO, Alicante, Spain
| | - Dora Romaguera
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Clinical Epidemiology and Public Health Department, Health Research Institute of the Balearic Islands (IdISBa), Palma de Mallorca, Spain
| | - J Alfredo Martínez
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- University of Navarra, Department of Nutrition, Food Science and Physiology, IDISNA, Pamplona, 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
| | - Jose López-Miranda
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, Cordoba, Spain
| | - Ramón 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
| | - Aurora Bueno-Cavanillas
- CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Preventive Medicine, University of Granada, Granada, Spain
| | - Fernando Arós
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Cardiology, University Hospital Araba, University of the Basque Country UPV/EHU, Vitoria-Gasteiz, 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 & Oxidative Stress, University of Balearic Islands, Palma de Mallorca, Spain
| | - Francisco Tinahones
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Virgen de la Victoria Hospital, Department of Endocrinology, University of Málaga, Málaga, Spain
| | - Lluis Serra-Majem
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- University of Las Palmas de Gran Canaria, Research Institute of Biomedical and Health Sciences (IUIBS), Preventive Medicine Service, Centro Hospitalario Universitario Insular Materno Infantil (CHUIMI), Canarian Health Service, Las Palmas, Spain
| | - Vicente Martín
- CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Institute of Biomedicine (IBIOMED), University of León, León, Spain
| | - Jose 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
| | - Clotilde Vázquez
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Endocrinology, Fundación Jiménez-Díaz, Madrid, 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 Universitario de Bellvitge, Hospitalet de Llobregat, Barcelona, Spain
| | - Josep Vidal
- CIBER Diabetes y enfermedades Metabólicas (CIBERDEM), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Endocrinology, IDIBAPS, Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - Lidia Daimiel
- Nutritional Genomics and Epigenomics Group, IMDEA Food, CEI UAM + CSIC, Madrid, Spain
| | - Miguel Delgado-Rodríguez
- CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Division of Preventive Medicine, Faculty of Medicine, University of Jaén, Jaén, Spain
| | - Pilar Matía
- Department of Endocrinology and Nutrition, Instituto de Investigación Sanitaria Hospital Clínico San Carlos (IdISSC), 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 Sunyer (IDIBAPS), Hospital Clínic, Barcelona, Spain
| | - Fernando Fernández-Aranda
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Eating Disorders Unit, Department of Psychiatry, University Hospital of Bellvitge-IDIBELL, Hospitalet del Llobregat, Barcelona, Spain
| | - Cristina Botella
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Basic and Clinical Psychology and Psychobiology, Universitat Jaume I, Castellón de la Plana, Spain
| | - María Puy Portillo
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Nutrition and Food Science, Faculty of Pharmacy and Lucio Lascaray Research Center, Universidad del País Vasco (UPV/EHU), Vitoria, Spain
| | - Rosa M Lamuela-Raventós
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Nutrition, Food Science and Gastronomy, XaRTA, INSA, -UB, School of Pharmacy and Food Science, University of Barcelona, Barcelona, Spain
| | - Ascensión Marcos
- Institute of Food Science, Technology and Nutrition (ICTAN), Spanish National Research Council (CSIC), Madrid, Spain
| | - Guillermo Sáez
- Department of Biochemistry and Molecular Biology, Faculty of Medicine and Odontology, University Hospital Dr. Peset, University of Valencia, Valencia, Spain
| | | | - Miguel Ruiz-Canela
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Preventive Medicine and Public Health, University of Navarra, IDISNA, Pamplona, Spain
| | - Estefania Toledo
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Preventive Medicine and Public Health, University of Navarra, IDISNA, Pamplona, Spain
| | - Ismael Alvarez-Alvarez
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Preventive Medicine and Public Health, University of Navarra, IDISNA, Pamplona, Spain
| | - Javier Díez-Espino
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Preventive Medicine and Public Health, University of Navarra, IDISNA, Pamplona, Spain
- Atención Primaria, Servicio Navarro de Salud-Osasunbidea, Pamplona, Spain
| | - José V Sorlí
- 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
| | - Josep Basora
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Rovira i Virgili University, Department of Biochemistry and Biotechnology, Human Nutrition Unit, IISPV, Hospital Universitari Sant Joan de Reus, 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
| | - 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
| | - Eva María Navarrete-Muñoz
- CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Miguel Hernandez University, ISABIAL-FISABIO, Alicante, Spain
| | - Maria Angeles Zulet
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- University of Navarra, Department of Nutrition, Food Science and Physiology, IDISNA, Pamplona, Spain
| | - Antonio García-Rios
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, Cordoba, Spain
| | - Jordi Salas-Salvadó
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Rovira i Virgili University, Department of Biochemistry and Biotechnology, Human Nutrition Unit, IISPV, Hospital Universitari Sant Joan de Reus, Reus, Spain
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17
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Marakis G, Kontopoulou L, Garofalakis G, Vasara E, Vasiliadis G, Grammatikopoulou MG. Development and relative validity of a self-administered semi-quantitative drinks frequency questionnaire, validated in a population of university students. Nutr Diet 2018; 76:532-538. [PMID: 30353963 DOI: 10.1111/1747-0080.12494] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2018] [Revised: 09/06/2018] [Accepted: 09/14/2018] [Indexed: 01/10/2023]
Abstract
AIM Drinks can contribute to energy as well as micro- and macro-nutrient intake. Drink-specific, validated, quick and easy to administer questionnaires are needed to monitor secular trends in beverage consumption for different populations. The aim of the present cross-sectional study was to develop and validate a drink-specific questionnaire for the Greek population. METHODS A 41-item semi-quantitative drinks frequency questionnaire (DFQ) was developed and validated against 7-day weighed food records, among young Greek adults. Wilcoxon ranks tests, Kendall tau-b correlations and Bland-Altman plot were used to compare the two methods. Fifty-nine Greek University students (28 males, 31 females) completed both methods. RESULTS No difference was observed in total drinks intake between the two methods. The Bland-Altman plot showed that the two methods are likely to agree concerning the total drinks intake. Wilcoxon's rank test showed no significant differences between the two methods, except for the 'whiskey/vodka/gin' intake (P < 0.001). 'Good' agreement (tau-b > 0.61) was observed for most DFQ items, including low-fat and chocolate milk, hot chocolate, Greek/espresso coffee, commercial tea, packaged fruit juices, wine, alcohol-free beer, light cola-type drinks and water (tap/bottled/sparkling). 'Low' agreement (<0.30) was noted for filtered/instant/iced coffee, freshly squeezed orange juice and some alcoholic drinks (beer/whiskey/vodka/gin). CONCLUSIONS The DFQ appears to be an overall valid means of estimating the habitual intake of drinks in large-scale epidemiological surveys. The study supports the use of DFQ for assessing drinks consumption patterns and secular trends.
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Affiliation(s)
- Georgios Marakis
- Nutrition Policy and Research Directorate, Hellenic Food Authority, Athens, Greece
| | - Lamprini Kontopoulou
- Department of Nutrition & Dietetics, Technological Educational Institute of Thessaly, Karditsa, Greece
| | - Gorgias Garofalakis
- Nutrition Policy and Research Directorate, Hellenic Food Authority, Athens, Greece
| | - Eleni Vasara
- Department of Biology, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Georgios Vasiliadis
- Department of Informatics Engineering, Technological Educational Institute of Western Macedonia, Kastoria, Greece
| | - Maria G Grammatikopoulou
- Department of Nutrition & Dietetics, Alexander Technological Educational Institute, Thessaloniki, Greece.,Department of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, Thessaloniki, Greece
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18
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Relative Validity of a Beverage Frequency Questionnaire Used to Assess Fluid Intake in the Autosomal Dominant Polycystic Kidney Disease Population. Nutrients 2018; 10:nu10081051. [PMID: 30096903 PMCID: PMC6115781 DOI: 10.3390/nu10081051] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2018] [Revised: 08/06/2018] [Accepted: 08/07/2018] [Indexed: 11/27/2022] Open
Abstract
Maintaining hydration sufficient to reduce levels of arginine vasopressin has been hypothesised to slow kidney cyst growth in autosomal dominant polycystic kidney disease (ADPKD). The semi-quantitative beverage frequency questionnaire (BFQ) was designed to measure usual fluid intake over the past month. The aim of this study was to assess the validity and reliability of the BFQ compared with the 24-h urine biomarkers. Participants with ADPKD (18–67 years; estimated glomerular filtration rate (eGFR) ≥ 30 mL/min1.73 m2) completed the BFQ. Serum creatinine, eGFR, 24-h urine volume, and osmolality were measured. Pearson correlation coefficients, paired t test, and Bland–Altman plots were used to evaluate agreement between the methods. A subset repeated the BFQ to assess reliability. A total of 121 participants (54% male, 43 ± 11 years; mean ± SD) completed the BFQ and at least one 24-h urine collection. The correlation between the BFQ and the 24-h urine volume was moderate (r = 0.580) and weaker with the 24-h urine osmolality (r = −0.276). The Bland–Altman plots revealed good agreement between the BFQ and the 24-h urine volume with no obvious bias; however, the limits of agreement were wide (−1517–1943 mL). The BFQ1 and BFQ2 were strongly correlated (r = 0.799, p < 0.001) and were not significantly different (p = 0.598). The BFQ is a valid and reliable tool to assess the usual fluid intake of the ADPKD population.
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19
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Ohno K, Asami M, Matsui Y. Is the default of 2 liters for daily per-capita water consumption appropriate? A nationwide survey reveals water intake in Japan. JOURNAL OF WATER AND HEALTH 2018; 16:562-573. [PMID: 30067239 DOI: 10.2166/wh.2018.281] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/08/2023]
Abstract
Two liters per day is generally applied as the default drinking water intake rate for risk assessments, although evidence supporting this value is insufficient. This study aimed to reveal actual water intakes from tap water and other types of drinks, and to explore the relationships between these intakes. For this purpose, we conducted a nationwide Internet questionnaire survey. Tap water intake negatively correlated with bottled water and soft drink intakes, suggesting a mutually complementary relationship. We propose an index, potential Tap Water Intake (pTWI), calculated by adding soft drinks and bottled water to tap water intake. Mean per-capita tap water intake across the entire Japanese population was estimated at 1.28 L/d, whereas mean pTWI was estimated at 1.65 L/d. Two liters per day corresponds to the 88th percentile of tap water intake and to the 76th percentile of pTWI, and covers the intake of the majority of the population in Japan. This rate should continue being used as the default in the Japanese population, but the rate to cover the tap water intake of almost the entire population would be higher: it was >2.5 L/d.
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Affiliation(s)
- Koichi Ohno
- Center for Health and Environmental Risk Research, National Institute for Environmental Studies, 16-2 Onogawa, Tsukuba, Ibaraki 305-8506, Japan; Department of Environmental Health, National Institute of Public Health, 2-3-6 Minami, Wako, Saitama 351-0197, Japan
| | - Mari Asami
- Department of Environmental Health, National Institute of Public Health, 2-3-6 Minami, Wako, Saitama 351-0197, Japan
| | - Yoshihiko Matsui
- Faculty of Engineering, Hokkaido University, N-13, W-8, Sapporo, Hokkaido 060-8628, Japan E-mail:
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20
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Warren J, Guelinckx I, Livingstone B, Potischman N, Nelson M, Foster E, Holmes B. Challenges in the assessment of total fluid intake in children and adolescents: a discussion paper. Eur J Nutr 2018; 57:43-51. [PMID: 29923117 PMCID: PMC6008368 DOI: 10.1007/s00394-018-1745-7] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2018] [Accepted: 06/07/2018] [Indexed: 11/30/2022]
Abstract
Purpose In recent years, evidence has emerged about the importance of healthy fluid intake in children for physical and mental performance and health, and in the prevention of obesity. Accurate data on water intake are needed to inform researchers and policymakers and for setting dietary reference values. However, to date, there are few published data on fluid or water intakes in children. This is due partly to the fact that drinking water is not always reported in dietary surveys. The aim of this paper is to review the current status of the literature and highlight the challenges of assessing total fluid intake in children and adolescents. Results From the dietary assessment literature it is apparent that children present unique challenges to assessing intake due to ongoing cognitive capacity development, limited literacy skills, difficulties in estimating portion sizes and multiple caregivers during any 1 day making it difficult to track intakes. As such, many issues should be considered when assessing total fluid intakes in children or adolescents. Various methods to assess fluid intakes exist, each with its own strengths and weaknesses; the ultimate choice of method depends on the research question and resources available. Based on the literature review, it is apparent that if the research focus is to assess only fluid intake, a fluid-specific method, such as a diary or record, appears to be a feasible approach to provide an accurate estimate of intakes.
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Affiliation(s)
| | - Isabelle Guelinckx
- Danone Nutricia Research, Route Départementale 128, 91767, Palaiseau, France.
| | - Barbara Livingstone
- Nutrition Innovation Centre for Food and Health, Ulster University, Coleraine, UK
| | - Nancy Potischman
- Office of Dietary Supplements, National Institutes of Health, Bethesda, USA
| | - Michael Nelson
- Public Health Nutrition Research Ltd, King's College London, London, UK
| | - Emma Foster
- Human Nutrition Research Centre, Newcastle University, Newcastle, UK
| | - Bridget Holmes
- Danone Nutricia Research, Route Départementale 128, 91767, Palaiseau, France
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21
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Morin C, Gandy J, Brazeilles R, Moreno LA, Kavouras SA, Martinez H, Salas-Salvadó J, Bottin J, Guelinckx I. Fluid intake patterns of children and adolescents: results of six Liq.In 7 national cross-sectional surveys. Eur J Nutr 2018; 57:113-123. [PMID: 29858626 PMCID: PMC6008348 DOI: 10.1007/s00394-018-1725-y] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2018] [Accepted: 05/18/2018] [Indexed: 01/02/2023]
Abstract
PURPOSE This study aimed to identify and characterize patterns of fluid intake in children and adolescents from six countries: Argentina, Brazil, China, Indonesia, Mexico and Uruguay. METHODS Data on fluid intake volume and type amongst children (4-9 years; N = 1400) and adolescents (10-17 years; N = 1781) were collected using the validated 7-day fluid-specific record (Liq.In7 record). To identify relatively distinct clusters of subjects based on eight fluid types (water, milk and its derivatives, hot beverages, sugar-sweetened beverages (SSB), 100% fruit juices, artificial/non-nutritive sweetened beverages, alcoholic beverages, other beverages), a cluster analysis (partitioning around k-medoids algorithm) was used. Clusters were then characterized according to their socio-demographics and lifestyle indicators. RESULTS The six interpretable clusters identified were: low drinkers-SSB (n 523), low drinkers-water and milk (n 615), medium mixed drinkers (n 914), high drinkers-SSB (n 513), high drinkers-water (n 352) and very high drinkers-water (n 264). Country of residence was the dominant characteristic, followed by socioeconomic level, in all six patterns. CONCLUSIONS This analysis showed that consumption of water and SSB were the primary drivers of the clusters. In addition to country, socio-demographic and lifestyle factors played a role in determining the characteristics of each cluster. This information highlights the need to target interventions in particular populations aimed at changing fluid intake behavior and improving health in children and adolescents.
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Affiliation(s)
- C Morin
- Hydration and Health Department, Danone Research, Route Départemental 128, 91767, Palaiseau, France
| | - J Gandy
- British Dietetic Association, Birmingham, UK
- School of Life Medical Services, University of Hertfordshire, Hatfield, UK
| | - R Brazeilles
- Biometrics and Data Science Department, Danone Research, Palaiseau, France
| | - L A Moreno
- GENUD (Growth, Exercise, Nutrition and Development) Research Group, Faculty of Health Sciences, Universidad de Zaragoza, Instituto Agroalimentario de Aragón (IA2), Instituto Investigación Sanitaria Aragón (IIS Aragón), Zaragoza, Spain
- CIBERobn (Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición), Institute of Health Carlos III, Madrid, Spain
| | - S A Kavouras
- Hydration Science Lab, University of Arkansas, Fayetteville, AR, USA
- Division of Endocrinology, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - H Martinez
- Hospital Infantil de México Federico Gómez, México City, Mexico
| | - J Salas-Salvadó
- CIBERobn (Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición), Institute of Health Carlos III, Madrid, Spain
- Human Nutrition Unit, Hospital Universitari de Sant Joan de Reus, Faculty of Medicine and Health Sciences, Institut d'Investigació Sanitària Pere Virgili, Biochemistry and Biotechnology Department, Universitat Rovira i Virgili Reus, Reus, Spain
| | - J Bottin
- Hydration and Health Department, Danone Research, Route Départemental 128, 91767, Palaiseau, France
| | - Isabelle Guelinckx
- Hydration and Health Department, Danone Research, Route Départemental 128, 91767, Palaiseau, France.
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22
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Johnson EC, Péronnet F, Jansen LT, Capitan-Jiménez C, Adams JD, Guelinckx I, Jiménez L, Mauromoustakos A, Kavouras SA. Validation Testing Demonstrates Efficacy of a 7-Day Fluid Record to Estimate Daily Water Intake in Adult Men and Women When Compared with Total Body Water Turnover Measurement. J Nutr 2017; 147:2001-2007. [PMID: 28878034 DOI: 10.3945/jn.117.253377] [Citation(s) in RCA: 30] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2017] [Revised: 05/30/2017] [Accepted: 08/11/2017] [Indexed: 11/14/2022] Open
Abstract
Background: Mean daily water intake from fluids (WATER-FL) has proven to be difficult to measure because of a range of nonvalidated data collection techniques. Few questionnaires have been validated to estimate WATER-FL against self-reported diaries or urinary hydration markers, which may limit their objectivity.Objectives: The goals of this investigation were 1) to assess the validity of a 7-d fluid record (7dFLR) to measure WATER-FL (WATER-FL-7dFLR) through comparison with WATER-FL as calculated by measuring deuterium oxide (D2O) disappearance (WATER-FL-D2O), and 2) to evaluate the reliability of the 7dFLR in measuring WATER-FL.Methods: Participants [n = 96; 51% female; mean ± SD age: 41 ± 14 y; mean ± SD body mass index (in kg/m2): 26.2 ± 5.1] completed body water turnover analysis over 3 consecutive weeks. They completed the 7dFLR and food diaries during weeks 2 and 4 of the observation. The records were entered into nutritional software to determine the water content of all foods and fluids consumed. WATER-FL-D2O was calculated from water turnover (via the D2O dilution method), minus water from food and metabolic water. The agreement between the 2 methods of determining WATER-FL were compared according to a Bland-Altman plot at week 2. The test-retest reliability of 7dFLR between weeks 2 and 4 was assessed via intraclass correlation (ICC).Results: The mean ± SD difference between WATER-FL-7dFLR and WATER-FL-D2O was -131 ± 845 mL/d. In addition, no bias was observed (F[1,94] = 0.484; R2 = 0.006; P = 0.488). When comparing WATER-FL-7dFLR from weeks 2 and 4, no significant difference (mean ± SD difference: 71 ± 75 mL/d; t[79] = 0.954; P = 0.343) and an ICC of 0.85 (95% CI: 0.77, 0.90) was observed.Conclusions: The main findings of this study were that the use of the 7dFLR is an effective and reliable method to estimate WATER-FL in adults. This style of questionnaire may be extremely helpful for collecting water intake data for large-scale epidemiologic studies.
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Affiliation(s)
- Evan C Johnson
- Human Integrated Physiology Laboratory, University of Wyoming, Laramie, WY
| | - François Péronnet
- Department of Kinesiology, University of Montreal, Montreal, Québec, Canada
| | | | | | | | | | | | - Andy Mauromoustakos
- Agricultural Statistics Laboratory, University of Arkansas, Fayetteville, AR
| | - Stavros A Kavouras
- Hydration Science Laboratory and .,Division of Endocrinology, University of Arkansas for Medical Sciences, Little Rock, AR
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23
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Nissensohn M, Serra-Majem L. Reply to C. Ferreira-Pêgo's Letter to the Editor Re: Nissensohn M. et al.; Nutrients 2016, 8, 232. Nutrients 2016; 8:nu8110700. [PMID: 27827922 PMCID: PMC5133087 DOI: 10.3390/nu8110700] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2016] [Revised: 11/01/2016] [Accepted: 11/01/2016] [Indexed: 11/18/2022] Open
Affiliation(s)
- Mariela Nissensohn
- Research Institute of Biomedical and Health Sciences, University of Las Palmas de Gran Canaria, Las Palmas de Gran Canaria 35016, Spain.
- CIBEROBN, Biomedical Research Networking Center for Physiopathology of Obesity and Nutrition, Carlos III Health Institute, Madrid 28029, Spain.
| | - Lluis Serra-Majem
- Research Institute of Biomedical and Health Sciences, University of Las Palmas de Gran Canaria, Las Palmas de Gran Canaria 35016, Spain.
- CIBEROBN, Biomedical Research Networking Center for Physiopathology of Obesity and Nutrition, Carlos III Health Institute, Madrid 28029, Spain.
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