ArticleNutrients2016
Nutrient Patterns and Their Food Sources in Older Persons from France and Quebec: Dietary and Lifestyle Characteristics.
Article in Nutrients, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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Who cites it
25 citing papers in PubMed.
- Nutritional Risk Factors Model of Community-Dwelling Older People in Poland-Pilot Study.Nutrients · 2025Article
- Factors associated with a healthy diet and willingness to change dietary behavior in older adults at increased risk of dementia.Journal of Alzheimer's disease : JAD · 2025Article
- Article
- Dietary amino acid profile and risk of hypertension: findings from the Ravansar cohort study.BMC nutrition · 2024Article
- Development and validation of an occurrence-based healthy dietary diversity (ORCHID) score easy to operationalise in dietary prevention interventions in older adults: a French study.The British journal of nutrition · 2024Article
- Article
- The association between dietary amino acid profile and the risk of type 2 diabetes: Ravansar non-communicable disease cohort study.BMC public health · 2023Article
- Article
- Serum ω-3 Fatty Acids and Cognitive Domains in Community-Dwelling Older Adults from the NuAge Study: Exploring the Associations with Other Fatty Acids and Sex.The Journal of nutrition · 2022Article
- Development and application of the sodium index to estimate and assess sodium intake for Korean adults.Nutrition research and practice · 2022Article
- Social Factors of Dietary Risk Behavior in Older German Adults: Results of a Multivariable Analysis.Nutrients · 2022Article
- Prevalence and Sociodemographic Factors Associated with Overweight and Obesity among Adults in Poland: A 2019/2020 Nationwide Cross-Sectional Survey.International journal of environmental research and public health · 2022Article
- Beyond the Individual -A Scoping Review and Bibliometric Mapping of Ecological Determinants of Eating Behavior in Older Adults.Public health reviews · 2022Article
- Dietary Patterns, Their Nutrients, and Associations with Socio-Demographic and Lifestyle Factors in Older New Zealand Adults.Nutrients · 2020Article
- Diet-derived nutrient patterns and components of metabolic syndrome: a cross-sectional community- based study.BMC endocrine disorders · 2020Article
- Article
- Nutrient Patterns, Cognitive Function, and Decline in Older Persons: Results from the Three-City and NuAge Studies.Nutrients · 2019Article
- Dietary Nutrient Patterns and Prostate Cancer Risk: A Case-Control Study from IranAsian Pacific journal of cancer prevention : APJCP · 2019Article
- Dietary patterns among French-speaking men residing in Montreal, Canada.Preventive medicine reports · 2019Article
- Estimation model for habitual 24-hour urinary-sodium excretion using simple questionnaires from normotensive Koreans.PloS one · 2018Article
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Authors and funding
10 authors.
Funding
Abstract
backgroundDietary and nutrient patterns have been linked to health outcomes related to aging. Food intake is influenced by environmental and genetic factors. The aim of the present study was to compare nutrient patterns across two elderly populations sharing a common ancestral cultural background, but living in different environments.
methodsThe diet quality, lifestyle and socioeconomic characteristics of participants from the Three-City Study (3C, France, n = 1712) and the Québec Longitudinal Study on Nutrition and Successful Aging (NuAge, Quebec, Canada, n = 1596) were analyzed. Nutrient patterns and their food sources were identified in the two samples using principal component analysis. Diet quality was compared across sample-specific patterns by describing weekly food intake and associations with the Canadian Healthy Eating Index (C-HEI).
resultsThree nutrient patterns were retained in each study: a healthy, a Western and a more traditional pattern. These patterns accounted for 50.1% and 53.5% of the total variance in 3C and NuAge, respectively. Higher education and non-physical occupations over lifetime were associated with healthy patterns in both studies. Other characteristics such as living alone, having a body mass index lower than 25 and being an ex-smoker were associated with the healthy pattern in NuAge. No association between these characteristics and the nutrient patterns was noted in 3C. The healthy and Western patterns from each sample also showed an inverse association with C-HEI.
conclusionThe two healthy patterns showed important similarities: adequate food variety, consumption of healthy foods and associations with common sociodemographic factors. This work highlights that nutrient patterns derived using a posteriori methods may be useful to compare the nutritional quality of the diet of distinct populations.
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