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.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.