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April 26, 2026Aging MedicineOpen Access

Predictive Model Development and Validation for Low Appendicular Skeletal Muscle Mass in Chinese Older Adults

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Authors

MCMinmin ChenHuadong Hospital XWXiaoqing WuHuadong Hospital YDYanping DuHuadong Hospital

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Implication

Randomized trial develops a predictive model for identifying low appendicular skeletal muscle mass in older adults, suggesting practical screening methods.

Key Points

This study aimed to create and validate a predictive model for identifying low appendicular skeletal muscle mass in older adults.
Body composition assessed using DXA in the development group and BIA in the validation group.
Multivariable binary logistic regression analysis was used to develop the predictive model.
External validation with an independent cohort to confirm model accuracy.
A predictive model with an AUC of 0.808; sensitivity of 88.7% and specificity of 43.4% in males; 83.6% and 44.3% in females.
Prevalence of low appendicular skeletal muscle mass was 74.0% in males and 58.2% in females.
Participants categorized into risk groups, with 28.9% of males and 9.2% of females in the low-risk category.

Cite This Study

Chen et al. (2026) studied this question.

synapsesocial.com/papers/69edadd94a46254e215b566d https://doi.org/10.1002/agm2.70079

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Implication

Randomized trial develops a predictive model for identifying low appendicular skeletal muscle mass in older adults, suggesting practical screening methods.

Predictive Model Development and Validation for Low Appendicular Skeletal Muscle Mass in Chinese Older Adults

Discussion

Member takes

Implication

Key Points

Cite This Study

Predictive Model Development and Validation for Low Appendicular Skeletal Muscle Mass in Chinese Older Adults

Discussion

Member takes

Implication

Key Points

Cite This Study

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