The Role of Fat-Free Mass in Weight-Related Complications: A Rapid Review and Meta-Analysis

IF 7.6 2区 医学 Q1 ENDOCRINOLOGY & METABOLISM
Obesity Reviews Pub Date : 2026-08-11 Epub Date: 2026-07-21 DOI:10.1111/obr.70202
Tadesse Asmamaw Dejenie, Paul P. Fahey, Haider Mannan, Mohammad Ariya, Evan Atlantis
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引用次数: 0

Abstract

Background

This review synthesized evidence on the association between fat-free mass (FFM) metrics and weight-related metabolic complications in adults with overweight or obesity.

Methods

A systematic search of Medline, Embase, Web of Science, and Google Scholar (inception to October 2024) identified 32 observational studies involving 138,935 participants. Random-effects meta-analyses were conducted for type 2 diabetes (T2DM, 5 studies, n = 41,235), metabolic syndrome (MetS, 3 studies, n = 2832), cardiovascular disease (CVD, 3 studies, n = 8980), and non-alcoholic fatty liver disease (NAFLD, 3 studies, n = 4570). Heterogeneity was assessed using I2. Sensitivity analyses stratification by FFM metric type were performed where feasible.

Results

Low FFM metrics were significantly associated with increased risk of T2DM (pooled RR = 1.46, 95% CI 1.11–1.91), MetS (OR = 4.48, 95% CI 2.18–9.22), CVD (RR = 2.03, 95% CI 1.27–3.26), and NAFLD (RR = 2.24, 95% CI 1.52–3.32). High heterogeneity was observed for T2DM (I2 = 90.9%) and MetS (I2 = 79.8%); however, sex-stratified sensitivity analyses eliminated heterogeneity for T2DM (I2 = 0%). Narrative synthesis of remaining studies generally supported these findings, though associations varied according to FFM metric type.

Conclusions

Low FFM-related metrics were associated with increased risk of major weight-related metabolic complications, although the strength and consistency of associations differed by FFM metric type.

无脂肪质量在体重相关并发症中的作用:快速回顾和荟萃分析。
背景:本综述综合了超重或肥胖成人无脂质量(FFM)指标与体重相关代谢并发症之间关系的证据。方法:系统检索Medline、Embase、Web of Science和谷歌Scholar(创建至2024年10月),确定32项观察性研究,涉及138,935名参与者。对2型糖尿病(T2DM, 5项研究,n = 41,235)、代谢综合征(MetS, 3项研究,n = 2832)、心血管疾病(CVD, 3项研究,n = 8980)和非酒精性脂肪性肝病(NAFLD, 3项研究,n = 4570)进行了随机效应荟萃分析。采用I2评估异质性。在可行的情况下,采用FFM度量类型进行敏感性分析分层。结果:低FFM指标与T2DM(合并RR = 1.46, 95% CI 1.11-1.91)、MetS (OR = 4.48, 95% CI 2.18-9.22)、CVD (RR = 2.03, 95% CI 1.27-3.26)和NAFLD (RR = 2.24, 95% CI 1.52-3.32)的风险增加显著相关。T2DM (I2 = 90.9%)和MetS (I2 = 79.8%)的异质性较高;然而,性别分层敏感性分析消除了T2DM的异质性(I2 = 0%)。剩余研究的叙述性综合总体上支持这些发现,尽管根据FFM度量类型的关联有所不同。结论:低FFM相关指标与主要体重相关代谢并发症的风险增加相关,尽管这种关联的强度和一致性因FFM指标类型而异。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Obesity Reviews
Obesity Reviews 医学-内分泌学与代谢
CiteScore
19.30
自引率
1.10%
发文量
130
审稿时长
1 months
期刊介绍: Obesity Reviews is a monthly journal publishing reviews on all disciplines related to obesity and its comorbidities. This includes basic and behavioral sciences, clinical treatment and outcomes, epidemiology, prevention and public health. The journal should, therefore, appeal to all professionals with an interest in obesity and its comorbidities. Review types may include systematic narrative reviews, quantitative meta-analyses and narrative reviews but all must offer new insights, critical or novel perspectives that will enhance the state of knowledge in the field. The editorial policy is to publish high quality peer-reviewed manuscripts that provide needed new insight into all aspects of obesity and its related comorbidities while minimizing the period between submission and publication.
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