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OBJECTIVE: To analyze the association between dietary patterns and the 12-year risk of frailty and its components in community-dwelling elderly French adults. DESIGN: A prospective cohort study. SETTING: The Bordeaux sample of the Three-City Study. PARTICIPANTS: A total of 972 initially nonfrail nondemented participants (336 men and 636 women) aged 73 years on average, re-examined at least once over 12 years. MEASUREMENTS: Five sex-specific dietary clusters were previously derived at baseline. Frailty incident to the baseline visit was defined as having at least three out of the following 5 criteria: unintentional weight loss, exhaustion, low energy expenditure, slowness, and muscle weakness. Multivariate Cox proportional hazard models were used to assess the association between dietary clusters and the risk of frailty and its components. RESULTS: In total, 78 men for 3719 person-years and 221 women for 7027 person-years became frail over the follow-up. In multivariate analyses, men in the "pasta" pattern and women in the "biscuits and snacking" pattern had a significantly higher risk of frailty compared with those in the "healthy" pattern [hazard ratio (HR) 2.2; 95% confidence interval (CI) 1.1-4.4 and HR 1.8; 95% CI 1.2-2.8, respectively; P = .09 and P = .13 for the global test of significance of risk difference across clusters, respectively]. In men, "biscuits and snacking" and "pasta" patterns were significantly associated with higher risk for muscle weakness (HR 3.3; 95% CI 1.6-7.0 and HR 2.1; 95% CI 1.2-3.7, respectively; P = .003 for global test). CONCLUSIONS: This 12-year prospective population-based study suggests that some particular unhealthy dietary patterns may increase the risk of frailty in older adults.

More information Original publication

DOI

10.1016/j.jamda.2016.09.014

Type

Journal article

Publication Date

2017-02-01T00:00:00+00:00

Volume

18

Pages

169 - 175

Total pages

6

Keywords

Frailty, dietary cluster, older adult, prospective study, Aged, Diet, Feeding Behavior, Female, Frail Elderly, Geriatric Assessment, Humans, Male, Proportional Hazards Models, Prospective Studies, Risk Assessment