Skeletal muscle mass is a strong predictor of cardiorespiratory fitness in the Chinese population with obesity

作者全名："Ren, Zhengyun; Fu, Luo; Feng, Zhonghui; Song, Zhiheng; Liu, Yanjun; Zhang, Tongtong; Wu, Nianwei"

作者地址："[Ren, Zhengyun] Southwest Jiaotong Univ, Coll Med, Chengdu, Peoples R China; [Ren, Zhengyun; Fu, Luo; Feng, Zhonghui; Liu, Yanjun; Zhang, Tongtong] Southwest Jiaotong Univ, Peoples Hosp Chengdu 3, Ctr Gastrointestinal & Minimally Invas Surg, Dept Gen Surg,Affiliated Hosp, Chengdu, Sichuan, Peoples R China; [Ren, Zhengyun; Fu, Luo; Feng, Zhonghui; Liu, Yanjun; Zhang, Tongtong] Chongqing Med Univ, Affiliated Hosp Chengdu 2, Chengdu, Sichuan, Peoples R China; [Ren, Zhengyun; Feng, Zhonghui; Zhang, Tongtong] Southwest Jiaotong Univ, Peoples Hosp Chengdu 3, Med Res Ctr, Affiliated Hosp, Chengdu, Sichuan, Peoples R China; [Song, Zhiheng] Suzhou Univ Sci & Technol, Sch Chem & Life Sci, Suzhou, Jiangsu, Peoples R China; [Liu, Yanjun; Zhang, Tongtong; Wu, Nianwei] Third Peoples Hosp Chengdu, 82 Qinglong St, Chengdu 610031, Sichuan Provinc, Peoples R China"

通信作者："Liu, YJ; Zhang, TT (通讯作者)，Southwest Jiaotong Univ, Peoples Hosp Chengdu 3, Ctr Gastrointestinal & Minimally Invas Surg, Dept Gen Surg,Affiliated Hosp, Chengdu, Sichuan, Peoples R China.; Zhang, TT (通讯作者)，Southwest Jiaotong Univ, Peoples Hosp Chengdu 3, Med Res Ctr, Affiliated Hosp, Chengdu, Sichuan, Peoples R China.; Liu, YJ; Zhang, TT; Wu, NW (通讯作者)，Third Peoples Hosp Chengdu, 82 Qinglong St, Chengdu 610031, Sichuan Provinc, Peoples R China."

来源：NUTRITION METABOLISM AND CARDIOVASCULAR DISEASES

ESI学科分类：CLINICAL MEDICINE

WOS号：WOS:001058115400001

JCR分区：Q2

影响因子：3.3

年份：2023

卷号：33

期号：7

开始页：1407

结束页：1414

文献类型：Article

关键词：Skeletal muscle mass; Maximal oxygen uptake; VO(2)max; Cardiorespiratory fitness

摘要："Background and aims: Although skeletal muscle is well-known as physiologically related to VO(2)max, the independent predictive value of skeletal muscle mass (SMM) VO(2)max in people with obesity has not been studied. This study aims to determine the relationships between maximal oxygen uptake (VO(2)max) and SMM in the Chinese population with obesity. Methods and results: Overall, 409 participants with obesity were included in this cross-sectional study. A maximal and graded exercise testing measured VO(2)max, and body compositions were measured by bioelectrical impedance analysis. Subsequently, correlation coefficients and stepwise multiple linear regression analyses were used to determine the relationships between VO(2)max and body compositions. SMM was found to have a significant correlation with VO(2)max (r Z 0.290, P < 0.001) after adjusting for sex, age, body mass index (BMI), waist-to-hip ratio, and percent body fat (PBF). In previous studies, BMI was widely recognized as a strong predictor of VO(2)max. This study revealed surprising results: after SMM was controlled, the correlation between BMI and VO(2)max was reduced (from r Z 0.381, P < 0.001 to r Z 0.191, P < 0.001). SMM was found the most important independent predictor. In the regression model, the variance of VO(2)max was explained by the SMM which accounted for 27.4%. Conclusions: In summary, SMM is a stronger independent predictor of cardiorespiratory fitness in the Chinese population with obesity than sex, age, BMI, waist-to-hip ratio, and PBF. (c) 2023 The Italian Diabetes Society, the Italian Society for the Study of Atherosclerosis, the Italian Society of Human Nutrition and the Department of Clinical Medicine and Surgery, Federico II University. Published by Elsevier B.V. All rights reserved."

基金机构：National Natural Science Foundation of China [20PJ211]; Science and Technology Project of the Health Planning Committee of Sichuan [2021-YF05-00843-SN]; Science and Technology Department of Chengdu; Chengdu High-level Key Clinical Specialty Construction Project; [82170887]

基金资助正文："This work was supported by the National Natural Science Foundation of China (82170887) , Science and Technology Project of the Health Planning Committee of Sichuan (20PJ211) , Science and Technology Department of Chengdu (2021-YF05-00843-SN) and Chengdu High-level Key Clinical Specialty Construction Project."