# Association of estimated muscle mass and its changes with all-cause mortality: a Chinese population-based cohort study

**Authors:** Rongxiu Ding, Pan Ding, Chao Lin

PMC · DOI: 10.1186/s12877-026-07008-6 · 2026-01-22

## TL;DR

This study finds that low muscle mass is linked to higher death risk in a Chinese elderly population, with sex-specific patterns.

## Contribution

The study identifies sex-specific associations between muscle mass and mortality and examines changes in muscle mass over time.

## Key findings

- Low skeletal muscle index (SMI) is associated with higher all-cause mortality in females but not in males.
- Participants with persistent low muscle mass had increased mortality risk compared to those with normal muscle mass.
- Maintaining normal muscle mass may confer longevity-related health benefits.

## Abstract

Previous studies have shown an association between low muscle mass (LMM) and all-cause mortality, but sex-specific patterns remain controversial. Moreover, the association between muscle mass changes and all-cause mortality has not been well established. This study aimed to examine the associations of muscle mass and its changes with all-cause mortality.

Data were derived from the Chinese Longitudinal Healthy Longevity Survey (CLHLS) conducted between 2011 and 2014, with follow-up until 2019. A total of 7,051 participants were included (53.8% female; mean age 83.4 ± 11.0 years). Appendicular skeletal muscle mass (ASM) was estimated using anthropometry-based prediction equations incorporating age, sex, calf circumference, height, and weight. Skeletal muscle index (SMI) was calculated as ASM divided by height squared and categorized into quartiles. Muscle mass changes between 2011 and 2014 were classified into four groups according to sex-specific SMI cut-off values for LMM: persistent LMM, LMM to normal, normal to LMM, and persistent normal. Demographic characteristics, lifestyle factors, and health status indicators were adjusted as covariates. Cox proportional hazards models were used to examine the associations of estimated SMI and its changes with all-cause mortality.

During 33,001 person-years of follow-up, 2,417 deaths occurred, including 1,054 (32.4%) among males and 1,363 (35.9%) among females. The association between SMI and all-cause mortality differed by sex, showing an L-shaped pattern in males and an inverse linear pattern in females. After sex stratification, low SMI was associated with a higher risk of all-cause mortality in females (P for interaction < 0.001). Compared with the highest SMI quartile (Q4), the hazard ratios (HRs; 95% confidence intervals [CIs]) for all-cause mortality in the lowest quartile (Q1) were 1.42 (1.13, 1.79) in males and 1.85 (1.45, 2.36) in females. Additionally, participants with persistent LMM had an increased risk of all-cause mortality compared with those with persistently normal muscle mass in both males (HR 1.42, 95%CI: 1.17, 1.74) and females (HR 1.31, 95%CI: 1.04, 1.65).

Low muscle mass may serve as a sensitive indicator of all-cause mortality, and maintaining normal muscle mass may confer longevity-related health benefits.

The online version contains supplementary material available at 10.1186/s12877-026-07008-6.

## Full-text entities

- **Genes:** IGF1 (insulin like growth factor 1) [NCBI Gene 3479] {aka IGF, IGF-I, IGFI, MGF}, CRP (C-reactive protein) [NCBI Gene 1401] {aka PTX1}, IL6 (interleukin 6) [NCBI Gene 3569] {aka BSF-2, BSF2, CDF, HGF, HSF, IFN-beta-2}
- **Diseases:** lipid metabolism disorders (MESH:D052439), emphysema (MESH:D004646), CLHLS (MESH:C562377), metabolic syndrome (MESH:D024821), cognitive impairment (MESH:D003072), PD (MESH:D010300), fatigue (MESH:D005221), hypertension (MESH:D006973), asthma (MESH:D001249), CL (MESH:D002971), muscle weakness (MESH:D018908), muscle (MESH:D019042), cardiovascular disease (MESH:D002318), osteoporosis (MESH:D010024), cachexia (MESH:D002100), fracture (MESH:D050723), inflammation (MESH:D007249), bronchitis (MESH:D001991), VIFs (MESH:D005171), frailty (MESH:D000073496), anxiety (MESH:D001007), diabetes (MESH:D003920), metabolic dysfunction (MESH:D008659), RD (MESH:D000077733), cerebrovascular disease (MESH:D002561), LMM (MESH:C536030), ASM (MESH:D001259), muscle loss (MESH:D009135), stroke (MESH:D020521), weight loss (MESH:D015431), cancer (MESH:D009369), depression (MESH:D003866), pneumonia (MESH:D011014), physical dysfunction (MESH:D059445), function (MESH:D003291), death (MESH:D003643), malnutrition (MESH:D044342), Low muscle (MESH:D009800), falls (MESH:C537863), RCS (MESH:D002313), SMI (MESH:D005207), heart disease (MESH:D006331), disease (MESH:D004194), Impairment in daily (MESH:D020773), Chronic diseases (MESH:D002908), AWGS (MESH:D055948)
- **Chemicals:** alcohol (MESH:D000438), testosterone (MESH:D013739), lipid (MESH:D008055), glucose (MESH:D005947), SMI (-)
- **Species:** Homo sapiens (human, species) [taxon 9606], Allium sativum (garlic, species) [taxon 4682]

## Figures

1 figure with captions in the complete paper: https://tomesphere.com/paper/PMC13014735/full.md

---
Source: https://tomesphere.com/paper/PMC13014735