Literature DB >> 22386581

Diet quality and cognition among older adults from the NuAge study.

Bryna Shatenstein1, Guylaine Ferland, Sylvie Belleville, Katherine Gray-Donald, Marie-Jeanne Kergoat, José Morais, Pierrette Gaudreau, Hélène Payette, Carol Greenwood.   

Abstract

BACKGROUND AND OBJECTIVES: A healthy diet may prevent cognitive decline either directly, or by decreasing risk of nutrition-related chronic diseases associated with cognitive decline. This study examined the relationships between diet quality (DQ) and cognition for over 3 years among 1488 older adults (52.6% female) from the NuAge study, aged 67 to 84 years at recruitment.
METHODS: Cognition was assessed at four annual visits using the modified mini-mental status examination (3MS); rate of cognitive decline was computed for each participant over the 3 years of follow-up using mixed model analyses and the individual-specific number of months between 3MS assessments. Dietary data were collected at recruitment using a validated 78-item, semi-quantitative food frequency questionnaire (FFQ). DQ was characterized as the Canadian Healthy Eating Index (C-HEI), a 9-component global DQ index (maximum score=100) computed from the FFQ output. Other variables were collected by questionnaire or direct measurement. Multivariate analyses were carried out to assess the association of DQ controlled for confounders on cognition.
RESULTS: Total C-HEI was better in females (78.7±9.1 vs 75.7±9.4, p<.0001) as were C-HEI component subscores. Males, the less educated, smokers, those with poor social engagement, symptoms of depression, a higher waist:hip ratio and who reported financial insecurity had a poor quality diet that could contribute to chronic diseases associated with cognition. Along with functional autonomy, most of these variables emerged as covariates of baseline 3MS and predictors of cognitive decline. While certain C-HEI subscores and total C-HEI were positive univariate correlates of 3MS at recruitment, total DQ was not associated with cognition in multivariate analyses, either at baseline or over 3 years of follow-up.
CONCLUSIONS: DQ was not independently associated with cognition. However, the study demonstrates relationships between diet quality and risk factors for chronic diseases associated with cognition. Consequently, older adults might benefit from a healthy diet to decrease risk of nutrition-related chronic diseases established as risk factors for cognitive decline. Further work in diverse older populations, use of dietary data collected earlier in life, finer cognitive measures and longer follow-up are necessary to better elucidate relationships between diet quality, chronic diseases and cognition.
Copyright © 2012 Elsevier Inc. All rights reserved.

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Year:  2012        PMID: 22386581     DOI: 10.1016/j.exger.2012.02.002

Source DB:  PubMed          Journal:  Exp Gerontol        ISSN: 0531-5565            Impact factor:   4.032


  22 in total

1.  Higher Cognitive Performance Is Prospectively Associated with Healthy Dietary Choices: The Maine Syracuse Longitudinal Study.

Authors:  G E Crichton; M F Elias; A Davey; A Alkerwi; G A Dore
Journal:  J Prev Alzheimers Dis       Date:  2015-03

Review 2.  Diet, cognition, and Alzheimer's disease: food for thought.

Authors:  Ane Otaegui-Arrazola; Pilar Amiano; Ana Elbusto; Elena Urdaneta; Pablo Martínez-Lage
Journal:  Eur J Nutr       Date:  2013-07-27       Impact factor: 5.614

Review 3.  Dietary patterns, cognitive decline, and dementia: a systematic review.

Authors:  Ondine van de Rest; Agnes Am Berendsen; Annemien Haveman-Nies; Lisette Cpgm de Groot
Journal:  Adv Nutr       Date:  2015-03-13       Impact factor: 8.701

Review 4.  Self-Report Dietary Assessment Tools Used in Canadian Research: A Scoping Review.

Authors:  Sharon I Kirkpatrick; Lana Vanderlee; Amanda Raffoul; Jackie Stapleton; Ilona Csizmadi; Beatrice A Boucher; Isabelle Massarelli; Isabelle Rondeau; Paula J Robson
Journal:  Adv Nutr       Date:  2017-03-15       Impact factor: 8.701

5.  Dietary Factors and Cognitive Function in Poor Urban Settings.

Authors:  Regina S Wright; Constance Gerassimakis; Desirée Bygrave; Shari R Waldstein
Journal:  Curr Nutr Rep       Date:  2017-02-15

6.  Healthy eating and reduced risk of cognitive decline: A cohort from 40 countries.

Authors:  Andrew Smyth; Mahshid Dehghan; Martin O'Donnell; Craig Anderson; Koon Teo; Peggy Gao; Peter Sleight; Gilles Dagenais; Jeffrey L Probstfield; Andrew Mente; Salim Yusuf
Journal:  Neurology       Date:  2015-05-06       Impact factor: 9.910

7.  Individual and collective factors predicting change in diet quality over 3 years in a subset of older men and women from the NuAge cohort.

Authors:  Bryna Shatenstein; Lise Gauvin; Heather Keller; Lucie Richard; Pierrette Gaudreau; Francine Giroux; Mira Jabbour; José A Morais; Hélène Payette
Journal:  Eur J Nutr       Date:  2015-07-14       Impact factor: 5.614

8.  The Role of Dietary and Lifestyle Factors in Maintaining Cognitive Health.

Authors:  Nathalie E Marchand; Majken K Jensen
Journal:  Am J Lifestyle Med       Date:  2017-04-11

9.  Dietary pattern in midlife and cognitive impairment in late life: a prospective study in Chinese adults.

Authors:  Jing Wu; Xingyue Song; Guo-Chong Chen; Nithya Neelakantan; Rob M van Dam; Lei Feng; Jian-Min Yuan; An Pan; Woon-Puay Koh
Journal:  Am J Clin Nutr       Date:  2019-10-01       Impact factor: 7.045

Review 10.  How to design nutritional intervention trials to slow cognitive decline in apparently healthy populations and apply for efficacy claims: a statement from the International Academy on Nutrition and Aging Task Force.

Authors:  M Ferry; N Coley; S Andrieu; C Bonhomme; J P Caubère; M Cesari; J Gautry; I Garcia Sanchez; L Hugonot; L Mansuy; M Pahor; J Pariente; P Ritz; A Salva; J Sijben; R Wieggers; P Ythier-Moury; M Zaïm; J Zetlaoui; B Vellas
Journal:  J Nutr Health Aging       Date:  2013-07       Impact factor: 4.075

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