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Dietary Patterns Derived by Hybrid Clustering Method in Older People: Association with Cognition, Mood, and Self-Rated Health

https://doi.org/10.1016/j.jada.2008.06.437Get rights and content

Abstract

Background

Several nutritional factors, including dietary fatty acids, antioxidants, and folates, have been related to pathological brain aging. Dietary patterns that represent a combination of foods may better predict disease risk than single foods or nutrients.

Objective

To identify dietary patterns by a mixed clustering method and to analyze their relationship with cognitive function, depressive symptoms, and self-rated health in older people.

Design

Cross-sectional population-based study.

Subjects/setting

Subjects included 1,724 elderly community dwellers living in Bordeaux, France from 2001 to 2002.

Statistical analysis

Cluster analysis, combining hybrid clustering, and research for stable groups during the k-means step on mean number of weekly servings of 20 predetermined food groups, separately in men and women.

Results

Five dietary clusters were identified in each sex. A “healthy” cluster characterized by higher consumption of fish in men (n=157; 24.3%) and fruits and vegetables in women (n=267; 24.8%) had significantly lower mean number of errors to Mini Mental State score after adjustment for socio-demographic variables (β=−0.11; 95% confidence interval [CI], −0.22 to −0.004 in men; β=−0.13; 95% CI, −0.22 to −0.04 in women). The same cluster was associated with borderline significance with lower depressive symptoms in women (β=−0.16; 95% CI, −0.33 to 0.007). Men in the “pasta eaters” cluster (n=136; 21%) had higher depressive symptoms (β=0.26; 95% CI, 0.06 to 0.46) and higher risk to report poor health (polytomous regression, odds ratio [OR]=1.91; 95% CI, 1.21 to 3.01) than the “healthy” cluster. Women in the “biscuits and snacking” cluster (n=162; 15%) had greater risk of poor perceived health (OR=1.69; 95% CI, 1.15 to 2.48) compared to “healthy” eaters. Additional adjustment for body mass index and medication use strengthened these associations.

Conclusions

Sex-specific dietary patterns derived by hybrid clustering method are associated with fewer cognitive and depressive symptoms and better perceived health in older people.

Section snippets

Participants

The study was conducted among participants in the Three-City study, a large ongoing prospective cohort study of vascular risk factors for dementia that included 9,294 community dwellers in Bordeaux (n=2,104), Dijon (n=4,931), and Montpellier (n=2,259), France, at baseline in 1999 to 2000. To be eligible for recruitment into the Three-City study, individuals had to be living in one of these three French cities, aged 65 years or older, and not institutionalized. Methods of the study and baseline

Dietary Clusters

After exclusion of 66 individuals with at least two missing dietary data and six with missing sociodemographic information, the sample consisted of 1,724 participants (647 men and 1,077 women). Five dietary clusters in men (Table 1) and five in women (Table 2) were identified.

Among both men and women, the first cluster labeled “small eaters” (31% of participants) did not represent a particular food group. It was characterized by a slightly lower mean number of servings per week than the overall

Discussion

Using an innovative approach with a mixed clustering strategy, we identified five dietary patterns that differed between older men and women. A “healthy” dietary pattern characterized by higher consumption of fish in men and fruits and vegetables in women was related to better cognitive performance and self-rated health in both sexes, and less depressive symptoms in women.

Nutritional data are difficult to cluster into stable nonoverlapping groups because of small food consumption differences

C. Samieri is a doctorate student, M.-A. Jutand is a lecturer, C. Féart is a research fellow, L. Letenneur is a researcher, and P. Barberger-Gateau is an associate professor and head of “Nutritional epidemiology” team, INSERM, U897, Bordeaux, France; and University Victor Segalen Bordeaux 2, Bordeaux, France.

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    C. Samieri is a doctorate student, M.-A. Jutand is a lecturer, C. Féart is a research fellow, L. Letenneur is a researcher, and P. Barberger-Gateau is an associate professor and head of “Nutritional epidemiology” team, INSERM, U897, Bordeaux, France; and University Victor Segalen Bordeaux 2, Bordeaux, France.

    L. Capuron is a researcher, Psynugen, UMR INRA-UB2 1286, CNRS-UB2 5226, Institut François Magendie, Bordeaux, France.

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