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Association between dietary patterns and sarcopenia among community-dwelling older adults in five provinces of China

A cross-sectional study

Bibliographic Data

ID22082176
AuthorsRongchang Pu, Ran Pu (Chinese Center For Disease Control and Prevention), Shanshan Jia (0000-0003-4363-8576, Chinese Center For Disease Control and Prevention), Xiaona Zhang (0000-0002-8643-3792, Chinese Center For Disease Control and Prevention), Qingqing Man (0009-0002-0450-5201, Chinese Center For Disease Control and Prevention), Dongmei Yu (0000-0003-2150-2010, Chinese Center For Disease Control and Prevention), Shuya Cai (Chinese Center For Disease Control and Prevention), Pengkun Song (0000-0003-2332-7500, Chinese Center For Disease Control and Prevention, corresponding author), Jian Zhang (0000-0001-7681-8747, Chinese Center For Disease Control and Prevention, corresponding author)
Year2025
Volume13
Pages1556033-1556033
Publication date2025-02-28
Open AccessYes
TypeARTICLE
VenueFrontiers in Public Health (JOURNAL)
Journal identifiersISSN: 2296-2565 • E-ISSN: 2296-2565
PublisherFrontiers Media SA (PUBLISHER • CH)
DOI10.3389/fpubh.2025.1556033
PMID40093723
OpenAlexW4408042709
LanguageEN
Citations received1
References cited45

Background Sarcopenia is prevalent in older adults and not only severely affects their health, but also brings a greater economic burden on the patient’s family as well as society. High-quality diet is one of influencing factors of sarcopenia, particularly important for muscle mass and function. This study aims to examine the dietary patterns of community-dwelling older adults in a typical region of China and explore the relationship between these dietary patterns and sarcopenia. Methods We used data of the Nutrition and Health Follow-up Study of the Chinese Population in 2021. Food frequency questionnaires were used to obtain food items intake frequency during the last year. Appendicular skeletal muscle mass (ASM), muscle strength and physical performance were assessed according to the Asian Sarcopenia Working Group (AWGS2019) criteria. Exploratory factor analysis was used to identify dietary patterns. Logistic regression models were used to examine the association between dietary patterns and sarcopenia. Results A total of 1,967 participants over the age of 65 were included in the study, and the prevalence of sarcopenia was 17.0%. According to the factor loadings of all of the 18 food groups, three dietary patterns were identified. These dietary patterns include the diversified dietary pattern, which is mainly characterized by the intake of soybeans, fungi and algae, animal meat, fruits, and legumes; the traditional dietary pattern, which is mainly defined by the consumption of rice, pork, poultry, vegetables, and aquatic products; and the wheat-based dietary pattern, which is mainly characterized by the intake of wheat, tubers, and other cereals. The diversified dietary pattern (OR = 0.54, p < 0.05) and the traditional dietary pattern (OR = 0.51, p < 0.05) were linked to a lower risk of developing sarcopenia, whereas the wheat-based dietary pattern (OR = 3.54, p < 0.05) was associated with a higher risk of sarcopenia. All three dietary patterns exhibited significantly correlated with muscle mass, grip strength, and physical performance ( p < 0.05). Conclusion Dietary patterns are associated with sarcopenia in community-dwelling older adults in China. Adopting a healthy and sensible balanced diet and avoiding a single dietary preference may reduce the risk of sarcopenia in older adults

Biology · China · Cross-sectional study · Dietary Reference Intake · Environmental health · Geography · Logistic regression · Muscle mass · Nutrient · Population · Refined grains · Sarcopenia · Body Composition Measurement Techniques · Medicine · Nutrition and Health in Aging · Nutritional Studies and Diet · Ecology · Food Science · Gerontology · Internal Medicine

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Citations per year1
Citation span2025 - 2025 (1)
Highly citedNo

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