@misc{10481/72646,
year = {2021},
month = {12},
url = {http://hdl.handle.net/10481/72646},
abstract = {Background and Aims: Plant-forward dietary patterns have been associated with cardiometabolic health benefits, which, in turn, have been related to cognitive performance with inconsistent findings. The objective of this study was to examine the relationship between baseline adherence to three a priori dietary patterns (Mediterranean, DASH, and MIND diets) with 2-year changes in cognitive performance in older adults with overweight or obesity and high cardiovascular disease risk. Methods: A prospective cohort analysis was conducted within the PREDIMED-Plus trial, involving 6,647 men and women aged 55–75 years with overweight or obesity and metabolic syndrome. Using a validated, semiquantitative 143-item food frequency questionnaire completed at baseline, the dietary pattern adherence scores were calculated. An extensive neuropsychological test battery was administered at baseline and 2-year follow-up. Multivariable-adjusted linear regression models were used to assess associations between 2-year changes in cognitive function z-scores across tertiles of baseline adherence to the a priori dietary patterns. Results: Adherence to the Mediterranean diet at baseline was associated with 2-year changes in the general cognitive screening Mini-Mental State Examination (MMSE, β: 0.070; 95% CI: 0.014, 0.175, P-trend = 0.011), and two executive function-related assessments: the Trail Making Tests Part A (TMT-A, β: −0.054; 95% CI: −0.110, − 0.002, P-trend = 0.047) and Part B (TMT-B, β: −0.079; 95% CI: −0.134, −0.024, P-trend = 0.004). Adherence to the MIND diet was associated with the backward recall Digit Span Test assessment of working memory (DST-B, β: 0.058; 95% CI: 0.002, 0.114, P-trend = 0.045). However, higher adherence to the DASH dietary pattern was not associated with better cognitive function over a period of 2 years. Conclusion: In older Spanish individuals with overweight or obesity and at high cardiovascular disease risk, higher baseline adherence to the Mediterranean dietary pattern may be associated with better cognitive performance than lower adherence over a period of 2 years.},
organization = {Board of Danone Institute International},
organization = {Borges SA},
organization = {CIBER Fisiopatología de la Obesidad y Nutrición},
organization = {Consejería de Salud de la Junta de Andalucía

PI0137/2018, PI0458/2013, PROMETEO/2017/017, PS0358/2016},
organization = {Danone and Merck Sharp and Dohme},
organization = {Departament de Salut Pública de la Generalitat de Catalunya},
organization = {EU-H2020

Eat2beNICE/H2020-SFS-2016-2},
organization = {Eroski Foundation},
organization = {Fondo de Investigación para la Salud},
organization = {Fundación Cerveza y Salud},
organization = {Fundación Dieta Meditarránea and Cerveza y Salud},
organization = {Fundación Dieta Mediterránea},
organization = {Fundación Patrimonio Comunal Olivarero},
organization = {Instituto Danone, Nestle, and Abbott Laboratories},
organization = {International Nut and Dried Foundation},
organization = {Lilly Laboratories},
organization = {Ministerio de Educación y Ciencia},
organization = {Sociedad Española de Nutrición},
organization = {Uriach Laboratories},
organization = {Amgen},
organization = {Pfizer},
organization = {Almond Board of California},
organization = {California Walnut Commission},
organization = {Canadian Institutes of Health Research

MFE-171207},
organization = {European Commission},
organization = {European Research Council

2013ACUP00194, 340918},
organization = {Generalitat Valenciana

	IJC2019-042420-I},
organization = {Instituto de Salud Carlos III},
organization = {European Social Fund},
organization = {Horizon 2020

	847879},
organization = {Fundació Bosch i Gimpera},
organization = {European Regional Development Fund

PI13/00233, PI13/00272, PI13/00462, PI13/00492, PI13/00673, PI13/00728, PI13/01056, PI13/01090, PI13/01123, PI13/02184, PI14/00618, PI14/00636, PI14/00696, PI14/00728, PI14/00853, PI14/00972, PI14/01206, PI14/01374, PI14/01471, PI14/01722, PI14/01919, PI16/00366, PI16/00381, PI16/00473, PI16/00501, PI16/00533, PI16/00662, PI16/01094, PI16/01120, PI16/01522, PI16/01873, PI17/00215, PI17/00508, PI17/00525, PI17/00532, PI17/00764, PI17/00855, PI17/00926, PI17/01183, PI17/01347, PI17/01441, PI17/01732, PI17/01827, PI19/00017, PI19/00309, PI19/00386, PI19/00576, PI19/00781, PI19/00957, PI19/01032, PI19/01226, PI19/01332, PI19/01560, PI20/00138, PI20/00339, PI20/00456, PI20/00557, PI20/00886, PI20/01158, PI20/01532, PI20/01802},
organization = {Ministerio de Economía, Industria y Competitividad, Gobierno de España},
organization = {Consejería de Salud y Familias, Junta de Andalucía},
organization = {Centro de Investigación Biomédica en Red-Fisiopatología de la Obesidad y Nutrición},
organization = {Grupo Ferrer Internacional, S.A},
publisher = {Frontiers Media},
keywords = {Cognition},
keywords = {Dietary pattern},
keywords = {Mediterranean diet (MedDiet)},
keywords = {DASH diet},
keywords = {MIND diet},
title = {Mediterranean, DASH, and MIND Dietary Patterns and Cognitive Function: The 2-Year Longitudinal Changes in an Older Spanish Cohort},
doi = {10.3389/fnagi.2021.782067},
author = {Nishi, Stephanie K. and Bueno Cavanillas, Aurora},
}