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Water intake, hydration status and 2-year changes in cognitive performance: a prospective cohort study.
Nishi, Stephanie K; Babio, Nancy; Paz-Graniel, Indira; Serra-Majem, Lluís; Vioque, Jesús; Fitó, Montserrat; Corella, Dolores; Pintó, Xavier; Bueno-Cavanillas, Aurora; Tur, Josep A; Diez-Ricote, Laura; Martinez, J Alfredo; Gómez-Martínez, Carlos; González-Botella, Andrés; Castañer, Olga; Alvarez-Sala, Andrea; Montesdeoca-Mendoza, Cristina; Fanlo-Maresma, Marta; Cano-Ibáñez, Naomi; Bouzas, Cristina; Daimiel, Lidia; Zulet, María Ángeles; Sievenpiper, John L; Rodriguez, Kelly L; Vázquez-Ruiz, Zenaida; Salas-Salvadó, Jordi.
Afiliação
  • Nishi SK; Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició, Reus, Spain. stephanie.nishi@urv.cat.
  • Babio N; Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain. stephanie.nishi@urv.cat.
  • Paz-Graniel I; Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain. stephanie.nishi@urv.cat.
  • Serra-Majem L; Toronto 3D (Diet, Digestive Tract and Disease) Knowledge Synthesis and Clinical Trials Unit, Toronto, ON, Canada. stephanie.nishi@urv.cat.
  • Vioque J; Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Unity Health Toronto, Toronto, ON, Canada. stephanie.nishi@urv.cat.
  • Fitó M; Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició, Reus, Spain. nancy.babio@urv.cat.
  • Corella D; Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain. nancy.babio@urv.cat.
  • Pintó X; Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain. nancy.babio@urv.cat.
  • Bueno-Cavanillas A; Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició, Reus, Spain.
  • Tur JA; Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain.
  • Diez-Ricote L; Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain.
  • Martinez JA; Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain.
  • Gómez-Martínez C; 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.
  • González-Botella A; CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain.
  • Castañer O; Instituto de Investigación Sanitaria y Biomédica de Alicante. Universidad Miguel Hernández (ISABIAL-UMH), Alicante, Spain.
  • Alvarez-Sala A; Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain.
  • Montesdeoca-Mendoza C; Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d'Investigació Médica (IMIM), Barcelona, Spain.
  • Fanlo-Maresma M; Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain.
  • Cano-Ibáñez N; Department of Preventive Medicine, University of Valencia, Valencia, Spain.
  • Bouzas C; Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain.
  • Daimiel L; Lipids and Vascular Risk Unit, Internal Medicine, Hospital Universitario de Bellvitge-IDIBELL, Hospitalet de Llobregat, Barcelona, Spain.
  • Zulet MÁ; School of Medicine, Universitat de Barcelona, 08907, Barcelona, Spain.
  • Sievenpiper JL; CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain.
  • Rodriguez KL; Department of Preventive Medicine and Public Health, University of Granada, Granada, Spain.
  • Vázquez-Ruiz Z; Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain.
  • Salas-Salvadó J; Research Group on Community Nutrition & Oxidative Stress, University of Balearic Islands, 07122, Palma de Mallorca, Spain.
BMC Med ; 21(1): 82, 2023 03 08.
Article em En | MEDLINE | ID: mdl-36882739
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 (ß: - 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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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Síndrome Metabólica / Ingestão de Líquidos Tipo de estudo: Clinical_trials / Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Aged / Female / Humans / Male Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Síndrome Metabólica / Ingestão de Líquidos Tipo de estudo: Clinical_trials / Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Aged / Female / Humans / Male Idioma: En Ano de publicação: 2023 Tipo de documento: Article