Tadesse Asmamaw Dejenie, Paul P. Fahey, Haider Mannan, Mohammad Ariya, Evan Atlantis
{"title":"The Role of Fat-Free Mass in Weight-Related Complications: A Rapid Review and Meta-Analysis","authors":"Tadesse Asmamaw Dejenie, Paul P. Fahey, Haider Mannan, Mohammad Ariya, Evan Atlantis","doi":"10.1111/obr.70202","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Background</h3>\n \n <p>This review synthesized evidence on the association between fat-free mass (FFM) metrics and weight-related metabolic complications in adults with overweight or obesity.</p>\n </section>\n \n <section>\n \n <h3> Methods</h3>\n \n <p>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, <i>n</i> = 41,235), metabolic syndrome (MetS, 3 studies, <i>n</i> = 2832), cardiovascular disease (CVD, 3 studies, <i>n</i> = 8980), and non-alcoholic fatty liver disease (NAFLD, 3 studies, <i>n</i> = 4570). Heterogeneity was assessed using I<sup>2</sup>. Sensitivity analyses stratification by FFM metric type were performed where feasible.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>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 (<i>I</i><sup>2</sup> = 90.9%) and MetS (<i>I</i><sup>2</sup> = 79.8%); however, sex-stratified sensitivity analyses eliminated heterogeneity for T2DM (<i>I</i><sup>2</sup> = 0%). Narrative synthesis of remaining studies generally supported these findings, though associations varied according to FFM metric type.</p>\n </section>\n \n <section>\n \n <h3> Conclusions</h3>\n \n <p>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.</p>\n </section>\n </div>","PeriodicalId":216,"journal":{"name":"Obesity Reviews","volume":"27 9","pages":""},"PeriodicalIF":7.6000,"publicationDate":"2026-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/obr.70202","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Obesity Reviews","FirstCategoryId":"3","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/obr.70202","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/7/21 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"ENDOCRINOLOGY & METABOLISM","Score":null,"Total":0}
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.
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.