Comparison of the value of body measurement indicators in screening for metabolic syndrome
LI Jiawen1, XIONG Xiaomei1, WANG Yushan2
1. School of Health Management, Xinjiang Medical University, Urumqi, Xinjiang 830054, China; 2. People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, Xinjiang 830001, China
Abstract：Objective To explore the value of body measurement indicators in screening for metabolic syndrome (MS), so as to provide the basis for early detection and prevention of MS. Methods The individuals who were 18 years old or above and underwent physical examinations at a tertiary hospital of Xinjiang Uygur Autonomous Region were selected using the convenience sampling method. Demographic information, lifestyle, waist circumference (WC) and blood biochemical indicators were collected through questionnaire surveys, physical examinations and laboratory tests. The associations of WC, waist-to-hip ratio (WHR), waist-to-height ratio (WHtR), body roundness index (BRI), abdominal volume index (AVI), lipid accumulation product (LAP) and visceral adiposity index (VAI) with MS were analyzed using a multivariable logistic regression model. The screening values of these body measurement indicators for MS were assessed by receiver operating characteristic (ROC) curves. Results A total of 37 921 individuals were recruited, including 20 666 males (54.50%) and 17 255 females (45.50%), and had a median age of 41.00 (interquartile range, 20.00) years. There were 7 988 cases of MS, with a detection rate of 21.06%. Multivariable logistic regression analysis showed that WC, WHR, LAP and VAI were statistically associated with MS (all P<0.05), and the risk of MS increased with the levels of these indicators (all Ptrend<0.05), after adjusting for confounding factors (gender, age, lifestyle, etc.). The area under the ROC curve (AUC) of LAP for screening MS was the highest among single indicators, at 0.930 (95%CI: 0.927-0.933), and the optimal cut-off value was 43.13, Youden's index was 0.720, the sensitivity was 88.01%, and the specificity was 84.04%. The combined indicators of WC×VAI for screening MS had the highest AUC, which was 0.937 (95%CI: 0.935-0.939), and the optimal cut-off value was 0.17, Youden's index was 0.730, the sensitivity was 91.88%, and the specificity was 81.07%. The DeLong test showed that the AUC of WC×VAI for screening MS was higher than that of WC, WHR, LAP and VAI, respectively (all P<0.05). Conclusion The value of combining WC and VAI for screening MS is higher than other body measurement indicators.
李佳文, 熊小梅, 王育珊. 身体测量指标筛查代谢综合征的效果比较[J]. 预防医学, 2025, 37(2): 163-167,172.
LI Jiawen, XIONG Xiaomei, WANG Yushan. Comparison of the value of body measurement indicators in screening for metabolic syndrome. Preventive Medicine, 2025, 37(2): 163-167,172.
[1] CUI F,BLACH S,MANZENGO M C,et al.Global reporting of progress towards elimination of hepatitis B and hepatitis C[J].Lancet Gastroenterol Hepatol,2023,8(4):332-342. [2] 白峻竹,游姝萌,张馨,等.2006—2020年中国丙型病毒性肝炎发病趋势及年龄-时期-队列分析[J].现代预防医学,2024,51(14):2497-2500. BAI J Z,YOU S M,ZHANG X,et al.Incidence trends and age-period-cohort analyses of hepatitis C in China,2006-2020[J].Mod Prev Med,2024,51(14):2497-2500.(in Chinese) [3] 龚韩湘,吴泽墉,伍宝玲,等.我国吸毒人群丙型肝炎病毒感染情况的系统评价[J].中国慢性病预防与控制,2017,25(8):625-628. GONG H X,WU Z Y,WU B L,et al.Hepatitis C virus infection among drug users in china:a systematic review[J].Chin J Prev Contr Chron Dis,2017,25(8):625-628.(in Chinese) [4] 甄华. 2012—2021年云南省边境县(市)血源及性传播疾病时空分布特征分析[D].长春:吉林大学,2024. ZHEN H.Analysis of spatiotemporal distribution characteristics of sexually transmitted and blood-borne infections in border area of Yunnan Province from 2012 to 2021[D].Changchun:Jilin University,2024.(in Chinese) [5] 中国疾病预防控制中心性病艾滋病预防控制中心.全国艾滋病哨点监测实施方案操作手册[Z].2017. The STD/AIDS Prevention and Control Center,Chinese Center for Disease Control and Prevention.Operation Manual for the Implementation Plan of National AIDS Sentinel Surveillance[Z].2017.(in Chinese) [6] 王宇,邢文革,刘中夫,等.丙型肝炎病毒感染的实验室检测方法及策略[J].临床肝胆病杂志,2024,40(4):672-678. WANG Y,XING W G,LIU Z F,et al.Advances in laboratory testing methods and strategies for hepatitis C virus infection[J].J Clin Hepatol,2024,40(4):672-678.(in Chinese) [7] 秦其荣,项可霞,高媛,等.马鞍山市2016—2018年吸毒人群艾滋病哨点监测结果分析[J].中国公共卫生,2021,37(8):1209-1213. QIN Q R,XIANG K X,GAO Y,et al.Prevalence of HIV infection and sexually transmitted diseases and their associates among drug users in Ma'anshan City,2016-2018:sentinel surveillance data analysis[J].Chin J Public Health,2021,37(8):1209-1213.(in Chinese) [8] 葛琳,李东民,李培龙,等.2010—2015年中国艾滋病哨点监测人群HIV、梅毒和HCV感染状况分析[J].疾病监测,2017,32(2):111-117. GE L,LI D M,LI P L,et al.Population specific sentinel surveillance for HIV infection, syphilis and HCV infection in China, during 2010-2015[J].Dis Surveill,2017,32(2):111-117.(in Chinese) [9] 吴振强,刘效峰,王娜,等.上海市宝山区2010—2016年吸毒人群HIV、丙肝和梅毒感染情况及影响因素分析[J].上海预防医学,2018,30(3):223-228. WU Z Q,LIU X F,WANG N,et al.Seroprevalence of human immunodeficiency virus,hepatitis C virus,and syphilis infection and their influencing factors among drug users in Baoshan District of Shanghai from 2010 to 2016[J].Shanghai J Prev Med,2018,30(3):223-228.(in Chinese) [10] 刘迎男,杨景元,李慧,等.内蒙古自治区吸毒人群丙型肝炎和梅毒感染分析[J].预防医学,2022,34(11):1125-1131. LIU Y N,YANG J Y,LI H,et al.Prevalence of hepatitis C and syphilis infections among drug users in Inner Mongolia Autonomous Region[J].China Prev Med J,2022,34(11):1125-1131.(in Chinese) [11] 李文军,李慧,杨景元,等.2008—2022年赤峰市丙型病毒性肝炎发病的年龄、时期、队列趋势分析[J].预防医学,2024,36(6):514-517. LI W J,LI H,YANG J Y,et al.Trends in age-,period- and cohort-specific incidence of hepatitis C in Chifeng City from 2008 to 2022[J].China Prev Med J,2024,36(6):514-517.(in Chinese) [12] 王娜,刘效峰,施大庆,等.上海市734例强制戒毒人员丙型病毒性肝炎感染影响因素和基因分型研究[J].中华疾病控制杂志,2018,22(4):330-334. WANG N,LIU X F,SHI D Q,et al.Study on influencing factors and genotypes of hepatitis C virus infection among 734 drug users in Shanghai compulsory detoxification center[J].Chin J Dis Control Prev,2018,22(4):330-334.(in Chinese) [13] 杨跃诚,张韵秋,叶润华,等.2011—2019年德宏傣族景颇族自治州吸毒人员HCV新发感染率及其影响因素[J].中国艾滋病性病,2022,28(7):801-805. YANG Y C,ZHANG Y Q,YE R H,et al.The incidence and risk factors of HCV infection among drug users in Dehong Dai and Jingpo Autonomous Prefectures,2011-2019[J].Chin J AIDS STD,2022,28(7):801-805.(in Chinese) [14] ARTENIE A,STONE J,FRASER H,et al.Incidence of HIV and hepatitis C virus among people who inject drugs,and associations with age and sex or gender: a global systematic review and meta-analysis[J].Lancet Gastroenterol Hepatol,2023,8(6):533-552.
