Evidence map›Paper›PMID 42726194›Full record

ArticleHormones (Athens, Greece)2026

Association of body composition with all-cause mortality among U.S. adults with osteoporosis or osteopenia: a population-based study.

Keju Wang, Xuefei Li, Hao Wan, Peng Tian, Chang Lu, Xiaotong Zhang, Xiaolin Ding

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Article in Hormones (Athens, Greece), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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7 authors.

Keju Wang *Department of Orthopedics, The Second Affiliated Hospital of Shandong First Medical University, Taian, China.
Xuefei Li *Department of Orthopedics, The Second Affiliated Hospital of Shandong First Medical University, Taian, China.
Hao WanDepartment of Orthopedics, The Second Affiliated Hospital of Shandong First Medical University, Taian, China.
Peng TianDepartment of Orthopedics, The Second Affiliated Hospital of Shandong First Medical University, Taian, China.
Chang LuDepartment of Orthopedics, The Second Affiliated Hospital of Shandong First Medical University, Taian, China.
Xiaotong ZhangDepartment of Orthopedics, The Second Affiliated Hospital of Shandong First Medical University, Taian, China.
Xiaolin DingDepartment of Orthopedics, The Second Affiliated Hospital of Shandong First Medical University, Taian, China. Ankle163@163.com.ORCID http://orcid.org/0009-0008-1714-6141

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAdults with osteopenia or osteoporosis have increased risks of adverse outcomes; however, mortality risk varies substantially and may be influenced by body composition. Evidence for the joint impact of low muscle mass and percentage-based adiposity in this population remains limited.

objectivesTo examine the independent and combined associations of low muscle mass and obesity with all-cause mortality among U.S. adults with osteopenia or osteoporosis and to characterize the dose-response relationship between total fat mass and mortality.

methodsWe performed a retrospective cohort analysis of NHANES cycles with concurrent whole-body DXA (appendicular lean mass and total fat mass) and site-specific BMD assessments (1999-2006, 2013-2014, and 2017-2018). Eligible participants with osteopenia or osteoporosis and mortality linkage were included (unweighted n = 3,918). Low muscle mass (LMM) was defined by DXA-derived appendicular lean mass index (ALMI; men < 7.0 kg/m², women < 5.5 kg/m²), while obesity was operationally defined by DXA body fat percentage (FM%; men > 30%, women > 42%) instead of body mass index (BMI). Survey-weighted Cox models and restricted cubic splines were utilized.

resultsOver a median follow-up of 14.8 years, 1,095 deaths occurred. In fully adjusted models, low muscle mass was associated with higher mortality (HR = 1.59, 95% CI: 1.30-1.95). Jointly, both low muscle mass alone (HR = 1.70, 95% CI: 1.30-2.23) and low muscle mass with obesity (HR = 1.45, 95% CI: 1.13-1.87) were associated with higher mortality compared with the normal phenotype, whereas obesity alone was not; notably, the isolated low muscle mass phenotype exhibited a higher point estimate than the combined phenotype. For total fat mass, with Q1 as reference, intermediate quartiles exhibited significantly lower risk (Q2: HR = 0.71, 95% CI: 0.57-0.88; Q3: HR = 0.68, 95% CI: 0.54-0.87), while Q4 showed a similar but non-significant downward trend (HR = 0.64, 95% CI: 0.50-1.03).

conclusionsAmong U.S. adults with osteopenia or osteoporosis, low muscle mass was a robust predictor of all-cause mortality. Adiposity defined by body fat percentage was not independently associated with mortality, and fat mass demonstrated a nonlinear pattern with the lowest risk at intermediate levels. These findings support incorporating muscle assessment and refined adiposity measures into risk stratification beyond BMD alone. CLINICAL

trial registrationNot applicable.

Indexed as

Body compositionLow muscle massMortalityNHANESObesityOsteopeniaOsteoporosis

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.