Association Between Fat-Free Mass and Mortality : A Systematic Review and Meta-Analysis

Background Body composition is a major determinant of health, yet the role of fat-free mass, a key component of body composition, in mortality remains unclear. Methods A PRISMA-guided systematic review and meta-analysis (PROSPERO: 321722) of observational cohort studies in community-dwelling adults was conducted. PubMed was searched from inception to 25 October 2025, and Web of Science and Embase were searched from inception to 31 July 2025. Eligible studies assessed fat-free mass using computed tomography, dual-energy X-ray absorptiometry (DXA), bioelectrical impedance analysis (BIA) or anthropometry. Studies involving hospitalized participants were excluded. Maximally adjusted effect estimates were pooled using random-effects models to calculate summary risk ratios (RRs) and 95% confidence intervals (CIs). Publication bias was assessed using graphical and statistical methods; influence analyses evaluated robustness; E-values quantified potential unmeasured confounding; and meta-regression explored between-study heterogeneity. Results Of 7741 screened records, 49 studies met the inclusion criteria (1 149 807 participants; 83 798 deaths). Low versus high fat-free mass was associated with higher all-cause mortality (RR: 1.42, 95% CI: 1.30–1.55). Trim-and-fill analysis indicated publication bias (adjusted RR: 1.31, 95% CI: 1.20–1.44). Sensitivity analyses confirmed robustness (leave-one-out RR range: 1.39–1.43; E-value: 2.19). Associations were consistent across age (pdifference; within-study = 0.133), geographic region (pdifference = 0.983) and cause of death (pdifference for cardiovascular diseases; within-study = 0.240, pdifference for cancer; within-study = 0.136). Effect sizes varied by sex (men RR: 1.56, 95% CI: 1.32–1.85; women RR: 1.25, 95% CI: 1.11–1.39; pdifference < 0.0001) and measurement method: strongest for calf circumference (RR: 2.19, 95% CI: 1.50–3.20), moderate for DXA (RR: 1.52, 95% CI: 1.29–1.79) and weakest for BIA (RR: 1.23, 95% CI: 1.07–1.41). Conclusions Low fat-free mass is associated with a 42% higher risk of all-cause mortality in community-dwelling adults. Routinely assessing fat-free mass provides clinical value in identifying high-risk individuals and informing preventive care strategies.

Authors

Institutions

Publication Details

Journal
EPub Bayreuth (University of Bayreuth)
Published
2026-07-17
DOI
https://doi.org/10.15495/epub_ubt_00009491
Primary Topic
Body Composition Measurement Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Association Between Fat-Free Mass and Mortality : A Systematic Review and Meta-Analysis

Volker Alt, Carmen Jochem, Hansjörg Baurecht, Patricia Fromherz et al.
EPub Bayreuth (University of Bayreuth)
Body Composition Measurement Techniques
article

Association Between Fat-Free Mass and Mortality : A Systematic Review and Meta-Analysis

Volker Alt, Carmen Jochem, Hansjörg Baurecht, Patricia Fromherz, Michael F. Leitzmann, Anja M. Sedlmeier, Vaerlie L. Haas
article en

Abstract

Background Body composition is a major determinant of health, yet the role of fat-free mass, a key component of body composition, in mortality remains unclear. Methods A PRISMA-guided systematic review and meta-analysis (PROSPERO: 321722) of observational cohort studies in community-dwelling adults was conducted. PubMed was searched from inception to 25 October 2025, and Web of Science and Embase were searched from inception to 31 July 2025. Eligible studies assessed fat-free mass using computed tomography, dual-energy X-ray absorptiometry (DXA), bioelectrical impedance analysis (BIA) or anthropometry. Studies involving hospitalized participants were excluded. Maximally adjusted effect estimates were pooled using random-effects models to calculate summary risk ratios (RRs) and 95% confidence intervals (CIs). Publication bias was assessed using graphical and statistical methods; influence analyses evaluated robustness; E-values quantified potential unmeasured confounding; and meta-regression explored between-study heterogeneity. Results Of 7741 screened records, 49 studies met the inclusion criteria (1 149 807 participants; 83 798 deaths). Low versus high fat-free mass was associated with higher all-cause mortality (RR: 1.42, 95% CI: 1.30–1.55). Trim-and-fill analysis indicated publication bias (adjusted RR: 1.31, 95% CI: 1.20–1.44). Sensitivity analyses confirmed robustness (leave-one-out RR range: 1.39–1.43; E-value: 2.19). Associations were consistent across age (pdifference; within-study = 0.133), geographic region (pdifference = 0.983) and cause of death (pdifference for cardiovascular diseases; within-study = 0.240, pdifference for cancer; within-study = 0.136). Effect sizes varied by sex (men RR: 1.56, 95% CI: 1.32–1.85; women RR: 1.25, 95% CI: 1.11–1.39; pdifference < 0.0001) and measurement method: strongest for calf circumference (RR: 2.19, 95% CI: 1.50–3.20), moderate for DXA (RR: 1.52, 95% CI: 1.29–1.79) and weakest for BIA (RR: 1.23, 95% CI: 1.07–1.41). Conclusions Low fat-free mass is associated with a 42% higher risk of all-cause mortality in community-dwelling adults. Routinely assessing fat-free mass provides clinical value in identifying high-risk individuals and informing preventive care strategies.

EPub Bayreuth (University of Bayreuth)
University of Bayreuth (DE)
Good health and well-being
Openalex Percentile: Top 9%
Body Composition Measurement Techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.