ArticleNutrients2022
Association of Eating Behavior, Nutritional Risk, and Frailty with Sarcopenia in Taiwanese Rural Community-Dwelling Elders: A Cross-Sectional Study.
Article in Nutrients, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 9 citations in OpenAlex.
- Development and validation of a sarcopenia risk prediction model for community-dwelling older adults.BMC public health · 2025Article
- Large-scale web-based survey on eating behaviour in the Japanese general population using a dietary behaviour questionnaire.Diabetes, obesity & metabolism · 2025Article
- Evaluation of Dietary Guideline Adherence and Risk of Sarcopenia in Elder Taiwanese.Food science & nutrition · 2025Article
- Meat-Egg-Dairy Consumption and Frailty among Chinese Older Adults: Exploring Rural/Urban and Gender Differences.Nutrients · 2024Article
- Identification and Characterization of Genomic Predictors of Sarcopenia and Sarcopenic Obesity Using UK Biobank Data.Nutrients · 2023Article
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Authors and funding
4 authors at 3 institutions in 1 country.
Funding
Abstract
This cross-sectional study assessed the association of eating behavior, nutritional risk, and frailty with sarcopenia in 208 community-dwelling individuals aged ≥65 years who were recruited from random rural community care centers in Chiayi County, Taiwan. The participants’ eating behavior was categorized into six categories. The gait speed (GS), grip strength, and appendicular skeletal muscle mass (ASM) were assessed based on these three parameters, which revealed that 50.9% of the participants had sarcopenia. In an adjusted model, water intake (odds ratio (OR) = 0.99, p = 0.044), dairy product intake (OR = 0.42, p = 0.049), body mass index (BMI) (OR = 0.77, p = 0.019), and marital status with widowed (OR = 0.31, p = 0.005) were significantly associated with sarcopenia. After eight steps of eliminating the least significant independent variable, age (p = 0.002), sex (p = 0.000), marital status with widowed (p = 0.001), water intake (p < 0.018), dairy product intake (p < 0.019), and BMI (p = 0.005) were found to be indispensable predictors of sarcopenia. The logistic regression model with these six indispensable variables had a predictive value of 75.8%. Longitudinal analyses are warranted to examine whether eating behavior is a risk factor for sarcopenia onset.
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