Trial reportClinical interventions in aging2024
Development and Validation of Estimation Equations for Appendicular Skeletal Muscle Mass in Chinese Community-Dwelling Older Adults.
Trial report in Clinical interventions in aging, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
5 citing papers in PubMed.
- Machine learning evaluation of the discriminative ability of Castelli Risk Index-I and other non-traditional lipid indices for sarcopenia: a cross-sectional study based on CHARLS.Lipids in health and disease · 2026Article
- Article
- Combined and progressive effect of frailty and sarcopenia on the risk of cardiovascular disease in middle-aged and older adults.Journal of global health · 2025Article
- Associations between sarcopenic obesity and risk of falls: a population-based cohort study among middle-aged and older adults using the CHARLS.BMC public health · 2025Article
- In Reply: Estimating Appendicular Skeletal Muscle Mass in Studies Based on the CHARLS Database.Journal of cachexia, sarcopenia and muscle · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Purpose: This study aimed to establish equations for estimating muscle mass through anthropometric parameters or together with physical function parameters in the community-dwelling older adults, providing a simple way of muscle mass assessment. Methods: In this cross-sectional descriptive study, a total of 1537 older adults were recruited from the community and accepted the measurements of height, weight, upper arm and calf circumferences, grip strength, and walking speed. Body composition including appendicular skeletal muscle mass (ASM) was measured using bioelectrical impedance analysis (BIA). Participants were randomly divided into the development or validation group. Stepwise multiple linear regression was applied to develop equations in the development group. Thereafter, Pearson correlation coefficients, Bland-Altman plots, paired Results: All parameters were significantly correlated with ASM ( Conclusion: The anthropometric equation offers a practical alternative simple and dependable method for estimating ASM in community-dwelling older adults.
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Registered trials
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