Year : 2018 | Volume
: 131 | Issue : 4 | Page : 379--388
Associations between Body Composition Indices and Metabolic Disorders in Chinese Adults: A Cross-Sectional Observational Study
Rong Zhang1, Sheng-Yong Dong2, Fei Wang3, Cong Ma3, Xiao-Lan Zhao4, Qiang Zeng3, Ao Fei5
1 International Medical Center, Health Management Institute, Chinese PLA General Hospital, Beijing 100853; Department of Cardiology, Chinese Navy General Hospital, Beijing 100048, China
2 Department of Healthcare, Agency for Offices Administration of PLA, Beijing 100048, China
3 International Medical Center, Health Management Institute, Chinese PLA General Hospital, Beijing 100853, China
4 Department of Health Management Center, Health Management Institute, Southwest Hospital, The Third Military Medical University, Chongqing 400038, China
5 Navy Institutional Organization, Beijing 100841, China
Background: Obesity induces dyslipidemia, hypertension, glucose intolerance, and inflammatory state, which results in atherogenic processes, diabetes, and cardiovascular disease. We usually use body composition indices, such as body mass index (BMI), body fat percentage (BFP), waist circumference-height ratio (WHtR), and waist-hip ratio (WHR) to reflect the obesity. The aim of this large population-based cross-sectional study was to investigate the associations between body composition indices and metabolic parameters in Chinese adults.
Methods: A total of 12,018 Chinese adults were included. Body composition indices, such as BMI, BFP, WHtR, and WHR, and metabolic parameters, such as systolic blood pressure (SBP), diastolic blood pressure (DBP), total cholesterol (TC), triglyceride (TG), low-density lipoprotein-cholesterol (LDL-C), high-density lipoprotein-cholesterol (HDL-C), fasting blood glucose (FBG), 2 h postprandial blood glucose (2h PBG), glycosylated hemoglobin (HbA1c), fasting insulin (FINS), insulin resistance index (HOMA-IR), high-sensitivity C-reactive protein (hs-CRP), and white blood cell count (WBC), were measured and analyzed. All analyses were stratified by gender.
Results: All body composition indices and metabolic parameters except 2h PBG differed significantly between males and females (all P < 0.001). BMI was positively associated with SBP, DBP, LDL-C, TC, TG, FBG, 2h PBG, HbA1c, FINS, HOMA-IR, hs-CRP, and WBC, and inversely associated with HDL-C; similar relationships were identified between the metabolic parameters and BFP, WHtR, and WHR. In the multivariate analysis, the odds of impaired glucose regulation, dyslipidemia, insulin resistance, and increased hs-CRP were 1.36, 1.92, 3.44, and 1.27 times greater in the overweight group than those in the normal weight group, respectively, and 1.66, 3.26, 7.53, and 1.70 times greater in the obese group than those in the normal weight group, respectively. The odds of dyslipidemia and hs-CRP were 1.29 and 1.38 times greater in the BFP ≥28.0% group than in the BFP <28.0% group, respectively. The odds of dyslipidemia, HOMA-IR, and hs-CRP were 1.55, 1.26, and 1.48 times greater in the WHtR ≥0.96 group than in the WHtR <0.96 group, respectively. Among males, the odds of HOMA-IR were 1.46 times greater in the WHR ≥0.54 group than in the WHR <0.54 group. Similar results were observed in females.
Conclusions: This study identified positive associations between all evaluated body composition indices and metabolic parameters in Chinese adults. Among the body composition indices, BMI predicted four of the five evaluated metabolic disorders in both gender groups.
Prof. Qiang Zeng
Health Management Institute, Chinese PLA General Hospital, 28 Fuxing Road, Beijing 100853
|How to cite this article:|
Zhang R, Dong SY, Wang F, Ma C, Zhao XL, Zeng Q, Fei A. Associations between Body Composition Indices and Metabolic Disorders in Chinese Adults: A Cross-Sectional Observational Study.Chin Med J 2018;131:379-388
|How to cite this URL:|
Zhang R, Dong SY, Wang F, Ma C, Zhao XL, Zeng Q, Fei A. Associations between Body Composition Indices and Metabolic Disorders in Chinese Adults: A Cross-Sectional Observational Study. Chin Med J [serial online] 2018 [cited 2018 Aug 14 ];131:379-388
Available from: http://www.cmj.org/article.asp?issn=0366-6999;year=2018;volume=131;issue=4;spage=379;epage=388;aulast=Zhang;type=0