title: Association between Indices of Body Composition and Abnormal Metabolic Phenotype in Normal-Weight Chinese Adults.
abstract: We aimed to determine the association of indices of body composition with abnormal metabolic phenotype, and to examine whether the strength of association was differentially distributed in different age groups in normal-weight Chinese adults. A total of 3015 normal-weight adults from a survey of Chinese people encompassing health and basic physiological parameters was included in this cross-sectional study. We investigated the association of body composition measured by bioelectrical impedance analysis and conventional body indices with metabolically unhealthy normal-weight (MUHNW) adults, divided by age groups and gender. Associations were assessed by multiple logistic regression analysis. We found abnormal metabolism in lean Chinese adults to be associated with higher adiposity indices (body mass index, BMI), waist circumference, and percentage body fat), lower skeletal muscle %, and body water %. Body composition was differentially distributed in age groups within the metabolically healthy normal weight (MHNW)/MUHNW groups. The impact of factors related to MUHNW shows a decreasing trend with advancing age in females and disparities of factors (BMI, body fat %, skeletal muscle %, and body water %) associated with the MUHNW phenotype in the elderly was noticed. Those factors remained unchanged in males throughout the age range, while the association of BMI, body fat %, skeletal muscle %, and body water % to MUHNW attenuated and grip strength emerged as a protective factor in elderly females. These results suggest that increased adiposity and decreased skeletal muscle mass are associated with unfavorable metabolic traits in normal-weight Chinese adults, and that MUHNW is independent of BMI, while increased waist circumference appears to be indicative of an abnormal metabolic phenotype in elderly females.
authors.affiliation: Department of Epidemiology and Biostatistics, School of Public Health, Capital Medical University, No. 10, Xitoutiao, You'anmen Wai, Fengtai District, Beijing 100069, China. passport2@126.com.
authors.forename: Lili
authors.initials: L
authors.lastname: Xia
authors.affiliation: China-Japan Friendship Hospital, Cherry Garden East Street, Chaoyang District, Beijing 100029, China. fionarab@163.com.
authors.forename: Fen
authors.initials: F
authors.lastname: Dong
authors.affiliation: Department of Chronic Disease, Beijing Fangshan District Center for Disease Prevention and Control, Yuehua North Street, Fangshan District, Beijing 102446, China. gonghaiyinglb@126.com.
authors.forename: Haiying
authors.initials: H
authors.lastname: Gong
authors.affiliation: China-Japan Friendship Hospital, Cherry Garden East Street, Chaoyang District, Beijing 100029, China. xgdfirst@163.com.
authors.forename: Guodong
authors.initials: G
authors.lastname: Xu
authors.affiliation: Birth Defects Monitoring Center, West China Second University Hospital, People South Road, Wuhou District, Chengdu 610041, China. wangkehope@126.com.
authors.forename: Ke
authors.initials: K
authors.lastname: Wang
authors.affiliation: Department of Epidemiology and Biostatistics, School of Public Health, Capital Medical University, No. 10, Xitoutiao, You'anmen Wai, Fengtai District, Beijing 100069, China. liufen05@ccmu.edu.cn.
authors.forename: Fen
authors.initials: F
authors.lastname: Liu
authors.affiliation: Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, No. 3, Dongdan, Dongcheng District, Beijing 100005, China. panli1716@163.com.
authors.forename: Li
authors.initials: L
authors.lastname: Pan
authors.affiliation: Department of Epidemiology and Biostatistics, School of Public Health, Capital Medical University, No. 10, Xitoutiao, You'anmen Wai, Fengtai District, Beijing 100069, China. zlilyepi@ccmu.edu.cn.
authors.forename: Ling
authors.initials: L
authors.lastname: Zhang
authors.affiliation: Department of Epidemiology and Biostatistics, School of Public Health, Capital Medical University, No. 10, Xitoutiao, You'anmen Wai, Fengtai District, Beijing 100069, China. Yanyx100@163.com.
authors.forename: Yuxiang
authors.initials: Y
authors.lastname: Yan
authors.affiliation: Departments of Medicine and Physiology, University of Toronto, Toronto, ON M5S 1A8, Canada. herbert.gaisano@utoronto.ca.
authors.forename: Herbert
authors.initials: H
authors.lastname: Gaisano
authors.affiliation: Department of Epidemiology and Biostatistics, School of Public Health, Capital Medical University, No. 10, Xitoutiao, You'anmen Wai, Fengtai District, Beijing 100069, China. yanhework@126.com.
authors.forename: Yan
authors.initials: Y
authors.lastname: He
authors.affiliation: Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, No. 3, Dongdan, Dongcheng District, Beijing 100005, China. guangliang_shan@hotmail.com.
authors.forename: Guangliang
authors.initials: G
authors.lastname: Shan
mesh_terms: D050154:Adiposity; D000293:Adolescent; D000328:Adult; D000368:Aged; D044466:Asian People; D001823:Body Composition; D015992:Body Mass Index; D002681:China / Q000208:ethnology; D003430:Cross-Sectional Studies; D017097:Electric Impedance; D005260:Female; D006801:Humans; D008297:Male; D024821:Metabolic Syndrome / Q000453:epidemiology / Q000378:metabolism*; D008875:Middle Aged; D018482:Muscle, Skeletal / Q000378:metabolism; D009765:Obesity / Q000453:epidemiology / Q000378:metabolism*; D010641:Phenotype; D055105:Waist Circumference; D055815:Young Adult
keywords: body composition; body fat; metabolically unhealthy normal-weight; metabolism; skeletal muscle