总质量和区域脂肪肌肉质量比与心脏代谢风险之间的性别特异性关联:中国国民健康调查的结果。

IF 4.4 2区 医学 Q1 NUTRITION & DIETETICS
Zhiming Lu, Yaoda Hu, Xingming Chen, Qiong Ou, Yawen Liu, Tan Xu, Ji Tu, Ang Li, Binbin Lin, Qihang Liu, Tianshu Xi, Weihao Wang, Haibo Huang, Da Xu, Zhili Chen, Zichao Wang, Huijing He, Guangliang Shan
{"title":"总质量和区域脂肪肌肉质量比与心脏代谢风险之间的性别特异性关联:中国国民健康调查的结果。","authors":"Zhiming Lu, Yaoda Hu, Xingming Chen, Qiong Ou, Yawen Liu, Tan Xu, Ji Tu, Ang Li, Binbin Lin, Qihang Liu, Tianshu Xi, Weihao Wang, Haibo Huang, Da Xu, Zhili Chen, Zichao Wang, Huijing He, Guangliang Shan","doi":"10.1186/s12937-024-01007-2","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>The fat-to-muscle mass ratio (FMR), integrating the antagonistic effects of fat and muscle mass, has been suggested as a valuable indicator to assess cardiometabolic health independent of overall adiposity. However, the specific associations of total and regional FMR with cardiometabolic risk are poorly understood. We aimed to examine sex-specific associations of total and regional FMR with single and clustered cardiometabolic risk factors (CRFs).</p><p><strong>Methods: </strong>13,505 participants aged 20 years and above were included in the cross-sectional study. Fat mass and muscle mass were assessed using a bioelectrical impedance analysis device. FMR was estimated as fat mass divided by muscle mass in corresponding body parts (whole body, arm, leg, and trunk). Clustered CRFs was defined as the presence of two or more risk factors, including hypertension, elevated blood glucose, dyslipidemia, insulin resistance (IR), and hyperuricemia. IR was assessed by the triglyceride glucose (TyG) index. Multivariable logistic regression models were applied to explore the associations of FMR in the whole body and body parts with single and clustered CRFs.</p><p><strong>Results: </strong>The odds ratios (ORs) increased significantly for all single and clustered CRFs with the per quartile increase of total and regional FMR in both sexes (P for trend < 0.001), following adjustment for confounders. Among the regional parts, FMRs of the legs presented the strongest associations for clustered CRFs in both men and women, with adjusted OR of 8.54 (95% confidence interval (CI): 7.12-10.24) and 4.92 (95% CI: 4.24-5.71), respectively. Significant interactions (P for interaction < 0.05) were identified between age and FMRs across different body parts, as well as between BMI status and FMRs in different regions for clustered CRFs. Restricted cubic splines revealed significant non-linear relationships between FMRs of different body parts and clustered CRFs in both sexes (P for nonlinear < 0.05).</p><p><strong>Conclusions: </strong>FMRs in the whole body and different regions were significantly associated with single and clustered CRFs in the general Chinese population. The association between FMR and clustered CRFs was more pronounced in youngers than in the elderly.</p>","PeriodicalId":19203,"journal":{"name":"Nutrition Journal","volume":"23 1","pages":"104"},"PeriodicalIF":4.4000,"publicationDate":"2024-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11385979/pdf/","citationCount":"0","resultStr":"{\"title\":\"Sex-specific associations between total and regional Fat-to-muscle Mass ratio and cardiometabolic risk: findings from the China National Health Survey.\",\"authors\":\"Zhiming Lu, Yaoda Hu, Xingming Chen, Qiong Ou, Yawen Liu, Tan Xu, Ji Tu, Ang Li, Binbin Lin, Qihang Liu, Tianshu Xi, Weihao Wang, Haibo Huang, Da Xu, Zhili Chen, Zichao Wang, Huijing He, Guangliang Shan\",\"doi\":\"10.1186/s12937-024-01007-2\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>The fat-to-muscle mass ratio (FMR), integrating the antagonistic effects of fat and muscle mass, has been suggested as a valuable indicator to assess cardiometabolic health independent of overall adiposity. However, the specific associations of total and regional FMR with cardiometabolic risk are poorly understood. We aimed to examine sex-specific associations of total and regional FMR with single and clustered cardiometabolic risk factors (CRFs).</p><p><strong>Methods: </strong>13,505 participants aged 20 years and above were included in the cross-sectional study. Fat mass and muscle mass were assessed using a bioelectrical impedance analysis device. FMR was estimated as fat mass divided by muscle mass in corresponding body parts (whole body, arm, leg, and trunk). Clustered CRFs was defined as the presence of two or more risk factors, including hypertension, elevated blood glucose, dyslipidemia, insulin resistance (IR), and hyperuricemia. IR was assessed by the triglyceride glucose (TyG) index. Multivariable logistic regression models were applied to explore the associations of FMR in the whole body and body parts with single and clustered CRFs.</p><p><strong>Results: </strong>The odds ratios (ORs) increased significantly for all single and clustered CRFs with the per quartile increase of total and regional FMR in both sexes (P for trend < 0.001), following adjustment for confounders. Among the regional parts, FMRs of the legs presented the strongest associations for clustered CRFs in both men and women, with adjusted OR of 8.54 (95% confidence interval (CI): 7.12-10.24) and 4.92 (95% CI: 4.24-5.71), respectively. Significant interactions (P for interaction < 0.05) were identified between age and FMRs across different body parts, as well as between BMI status and FMRs in different regions for clustered CRFs. Restricted cubic splines revealed significant non-linear relationships between FMRs of different body parts and clustered CRFs in both sexes (P for nonlinear < 0.05).</p><p><strong>Conclusions: </strong>FMRs in the whole body and different regions were significantly associated with single and clustered CRFs in the general Chinese population. The association between FMR and clustered CRFs was more pronounced in youngers than in the elderly.</p>\",\"PeriodicalId\":19203,\"journal\":{\"name\":\"Nutrition Journal\",\"volume\":\"23 1\",\"pages\":\"104\"},\"PeriodicalIF\":4.4000,\"publicationDate\":\"2024-09-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11385979/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Nutrition Journal\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1186/s12937-024-01007-2\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"NUTRITION & DIETETICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nutrition Journal","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1186/s12937-024-01007-2","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"NUTRITION & DIETETICS","Score":null,"Total":0}
引用次数: 0

摘要

背景:脂肪-肌肉质量比(FMR)综合了脂肪和肌肉质量的拮抗作用,被认为是评估心脏代谢健康的一个有价值的指标,而不受总体脂肪含量的影响。然而,人们对总肌肉重量比和区域肌肉重量比与心脏代谢风险之间的具体关系知之甚少。我们的目的是研究总脂肪量和区域脂肪量与单一和聚类心脏代谢风险因素(CRFs)的性别特异性关联。使用生物电阻抗分析装置对脂肪量和肌肉量进行评估。FMR以相应身体部位(全身、手臂、腿部和躯干)的脂肪量除以肌肉量来估算。集群 CRFs 的定义是存在两个或两个以上的风险因素,包括高血压、血糖升高、血脂异常、胰岛素抵抗(IR)和高尿酸血症。胰岛素抵抗通过甘油三酯葡萄糖(TyG)指数进行评估。应用多变量逻辑回归模型探讨了全身和身体部位的 FMR 与单个和集群 CRFs 的关系:结果:所有单一和集群 CRFs 的几率比(ORs)都随着男女总 FMR 和区域 FMR 每四分位数的增加而显著增加(P 为趋势结论):在中国普通人群中,全身和不同区域的FMR与单一和聚集性CRF显著相关。与老年人相比,年轻人的全身和不同区域的全血细胞比容与聚集性 CRF 之间的关系更为明显。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Sex-specific associations between total and regional Fat-to-muscle Mass ratio and cardiometabolic risk: findings from the China National Health Survey.

Background: The fat-to-muscle mass ratio (FMR), integrating the antagonistic effects of fat and muscle mass, has been suggested as a valuable indicator to assess cardiometabolic health independent of overall adiposity. However, the specific associations of total and regional FMR with cardiometabolic risk are poorly understood. We aimed to examine sex-specific associations of total and regional FMR with single and clustered cardiometabolic risk factors (CRFs).

Methods: 13,505 participants aged 20 years and above were included in the cross-sectional study. Fat mass and muscle mass were assessed using a bioelectrical impedance analysis device. FMR was estimated as fat mass divided by muscle mass in corresponding body parts (whole body, arm, leg, and trunk). Clustered CRFs was defined as the presence of two or more risk factors, including hypertension, elevated blood glucose, dyslipidemia, insulin resistance (IR), and hyperuricemia. IR was assessed by the triglyceride glucose (TyG) index. Multivariable logistic regression models were applied to explore the associations of FMR in the whole body and body parts with single and clustered CRFs.

Results: The odds ratios (ORs) increased significantly for all single and clustered CRFs with the per quartile increase of total and regional FMR in both sexes (P for trend < 0.001), following adjustment for confounders. Among the regional parts, FMRs of the legs presented the strongest associations for clustered CRFs in both men and women, with adjusted OR of 8.54 (95% confidence interval (CI): 7.12-10.24) and 4.92 (95% CI: 4.24-5.71), respectively. Significant interactions (P for interaction < 0.05) were identified between age and FMRs across different body parts, as well as between BMI status and FMRs in different regions for clustered CRFs. Restricted cubic splines revealed significant non-linear relationships between FMRs of different body parts and clustered CRFs in both sexes (P for nonlinear < 0.05).

Conclusions: FMRs in the whole body and different regions were significantly associated with single and clustered CRFs in the general Chinese population. The association between FMR and clustered CRFs was more pronounced in youngers than in the elderly.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Nutrition Journal
Nutrition Journal NUTRITION & DIETETICS-
CiteScore
9.80
自引率
0.00%
发文量
68
审稿时长
4-8 weeks
期刊介绍: Nutrition Journal publishes surveillance, epidemiologic, and intervention research that sheds light on i) influences (e.g., familial, environmental) on eating patterns; ii) associations between eating patterns and health, and iii) strategies to improve eating patterns among populations. The journal also welcomes manuscripts reporting on the psychometric properties (e.g., validity, reliability) and feasibility of methods (e.g., for assessing dietary intake) for human nutrition research. In addition, study protocols for controlled trials and cohort studies, with an emphasis on methods for assessing dietary exposures and outcomes as well as intervention components, will be considered. Manuscripts that consider eating patterns holistically, as opposed to solely reductionist approaches that focus on specific dietary components in isolation, are encouraged. Also encouraged are papers that take a holistic or systems perspective in attempting to understand possible compensatory and differential effects of nutrition interventions. The journal does not consider animal studies. In addition to the influence of eating patterns for human health, we also invite research providing insights into the environmental sustainability of dietary practices. Again, a holistic perspective is encouraged, for example, through the consideration of how eating patterns might maximize both human and planetary health.
×
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:481959085
Book学术官方微信