期刊
NUTRIENTS
卷 8, 期 8, 页码 -出版社
MDPI
DOI: 10.3390/nu8080484
关键词
dietary patterns; elderly; sociodemographic factors; general population
资金
- French National Research Agency [ANR-14-CE20-0003]
- French Ministry of Health (DGS)
- French Institute for Health Surveillance (InVS)
- National Institute for Prevention and Health Education (INPES)
- Foundation for Medical Research (FRM)
- National Institute for Health and Medical Research (INSERM)
- National Institute for Agricultural Research (INRA)
- National Conservatory of Arts and Crafts (CNAM)
- University of Paris 13
- Agence Nationale de la Recherche (ANR) [ANR-14-CE20-0003] Funding Source: Agence Nationale de la Recherche (ANR)
This cross-sectional analysis provides up-to-date information about dietary patterns (DP) and their sociodemographic correlates in European elderly individuals. We studied 6686 enrollees aged 65+ (55% women) in the ongoing French population-based NutriNet-Sante e-cohort. Diet was assessed via three 24 h records. The sex-specific correlates of factor analysis derived DP were identified with multivariable linear regression. Using 22 pre-defined food groups, three DP were extracted. The healthy DP (fruit, vegetables, grains, nuts, fish) was positively associated with education, living alone, and being a former smoker (women), and negatively associated with being overweight, current smoker (men), age 75+ years, having hypertension, and obesity (women). The western DP (meat, appetizers, cheese, alcohol) was positively associated with BMI (men) and being a former/current smoker; it was negatively associated with age 75+ years (women) and living alone. The traditional DP (bread, potatoes, milk, vegetables, butter, stock) was positively associated with age and negatively associated with being a former/current smoker, education (men), and residing in an urban/semi-urban area. The findings support the diversity of DP among the elderly, highlighting sex-specific differences. The healthy DP explained the largest amount of variance in intake. Future studies could replicate the models in longitudinal and international contexts.
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