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

IF 2.5
Keju Wang, Xuefei Li, Hao Wan, Peng Tian, Chang Lu, Xiaotong Zhang, Xiaolin Ding
{"title":"Association of body composition with all-cause mortality among U.S. adults with osteoporosis or osteopenia: a population-based study.","authors":"Keju Wang, Xuefei Li, Hao Wan, Peng Tian, Chang Lu, Xiaotong Zhang, Xiaolin Ding","doi":"10.1007/s42000-026-00825-9","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Adults 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.</p><p><strong>Objectives: </strong>To 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.</p><p><strong>Methods: </strong>We 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.</p><p><strong>Results: </strong>Over 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).</p><p><strong>Conclusions: </strong>Among 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.</p><p><strong>Clinical trial registration: </strong>Not applicable.</p>","PeriodicalId":520640,"journal":{"name":"Hormones (Athens, Greece)","volume":" ","pages":""},"PeriodicalIF":2.5000,"publicationDate":"2026-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Hormones (Athens, Greece)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/s42000-026-00825-9","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Background: Adults 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.

Objectives: To 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.

Methods: We 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.

Results: Over 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).

Conclusions: Among 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 registration: Not applicable.

美国成人骨质疏松或骨质减少患者的身体成分与全因死亡率的关系:一项基于人群的研究
背景:成人骨质减少或骨质疏松症的不良后果风险增加;然而,死亡风险差别很大,并可能受到身体构成的影响。在这一人群中,低肌肉量和基于百分比的肥胖对关节的影响的证据仍然有限。目的:研究美国成人骨质疏松或骨质疏松患者中低肌肉量和肥胖与全因死亡率的独立和联合关联,并表征总脂肪量和死亡率之间的剂量反应关系。方法:我们对NHANES周期进行回顾性队列分析,同时进行全身DXA(阑尾瘦质量和总脂肪质量)和部位特异性BMD评估(1999-2006年、2013-2014年和2017-2018年)。纳入了骨质减少或骨质疏松与死亡率相关的合格参与者(未加权n = 3,918)。低肌肉质量(LMM)由dxa衍生的阑尾瘦质量指数(ALMI,男性30%,女性> 42%)而不是身体质量指数(BMI)定义。采用调查加权Cox模型和受限三次样条。结果:在14.8年的中位随访中,发生了1095例死亡。在完全调整的模型中,低肌肉质量与较高的死亡率相关(HR = 1.59, 95% CI: 1.30-1.95)。与正常表型相比,单独低肌肉质量(HR = 1.70, 95% CI: 1.30-2.23)和低肌肉质量合并肥胖(HR = 1.45, 95% CI: 1.13-1.87)与更高的死亡率相关,而单独肥胖则无关;值得注意的是,分离的低肌肉质量表型比组合表型表现出更高的点估计。对于总脂肪量,以Q1为参照,中间四分位数的风险显著降低(Q2: HR = 0.71, 95% CI: 0.57-0.88; Q3: HR = 0.68, 95% CI: 0.54-0.87),而Q4显示类似但不显著的下降趋势(HR = 0.64, 95% CI: 0.50-1.03)。结论:在美国成人骨质减少或骨质疏松症患者中,低肌肉质量是全因死亡率的有力预测因子。由体脂百分比定义的肥胖与死亡率没有独立的关系,脂肪量表现出非线性模式,在中间水平时风险最低。这些发现支持将肌肉评估和精确的肥胖测量纳入风险分层,而不仅仅是BMD。临床试验注册:不适用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信
小红书