ArticleThe journal of nutrition, health & aging2026
Dietary patterns and longitudinal frailty progression in older Chinese adults: a nationwide cohort study.
Article in The journal of nutrition, health & aging, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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Who cites it
2 citing papers in PubMed.
- Network Analysis of Food Intake Patterns and Frailty Dimensions in Chinese Older Adults: A National Cross-Sectional Study.Nutrients · 2026Article
- Joint association of a healthy low-carbohydrate diet and frailty with the risk of incident Alzheimer's disease and vascular dementia: a prospective cohort study.Frontiers in public health · 2026Article
Corrections and comments
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Authors and funding
5 authors.
Funding
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Abstract
objectivesTo examine the longitudinal associations between adherence to multiple healthy dietary patterns and frailty progression among older Chinese adults, and to determine whether these associations differ across population subgroups.
designProspective cohort study. SETTINGS AND
participantsA total of 1,374 community-dwelling older adults from the China Health and Nutrition Survey (CHNS), 2004-2011. MEASUREMENTS: Frailty was repeatedly assessed using a 27-item frailty index. Adherence to eight dietary patterns was evaluated, including the Planetary Health Diet Index (PHDI), Alternative Healthy Eating Index (AHEI), Dietary Approaches to Stop Hypertension (DASH), Alternative Mediterranean Diet (aMED) score, American Cancer Society 2020 diet score (ACS2020), healthful plant-based diet index (hPDI), low-carbohydrate diet score (LCD), and Chinese Healthy Eating Index (CHEI). Linear mixed-effects models were used to examine associations between dietary patterns and longitudinal frailty progression, with subgroup analyses to assess population differences.
resultsHigher adherence to AHEI, DASH, aMED, hPDI, LCD, and CHEI showed significant inverse dose-response associations with frailty progression (all p for trend <0.05), whereas no significant associations were observed for PHDI or ACS2020 (p for trend = 0.728 and 0.653, respectively). No effect modification was observed by age, sex, BMI, or baseline frailty level (all p for interaction >0.05). However, significant interactions were observed by geographical region for PHDI and hPDI, and by urbanization level for PHDI, AHEI, and ACS2020 (all p for interaction <0.05).
conclusionThese findings support the role of high-quality dietary patterns in slowing frailty progression, with associations varying across geographical regions and levels of urbanization.
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