人体测量指标预测肥胖儿童非酒精性脂肪肝的研究

目的 研究人体测量指标对儿童肥胖伴非酒精性脂肪肝的预测作用,探讨不同指标筛查非酒精性脂肪肝的切点值。方法 选取自2018年6月—2019年12月在西安交通大学第二附属医院小儿内分泌门诊就诊的94例肥胖儿童为研究对象,进一步分为肥胖伴非酒精性脂肪肝组与肥胖不伴非酒精性脂肪肝组,52例正常儿童为对照组。测量身高(H)、体重(W)、腰围(WC)、臀围(HC)和血甘油三酯(TG)、总胆固醇(TC)、高密度脂蛋白胆固醇(HDL-C)、低密度脂蛋白胆固醇(LDL-C);行肝脏B超的检查。计算体质指数(BMI)、腰臀比(WHR)、腰高比(WHtR)、腹部体积指数(AVI)、脂质蓄积指数(LAP)和内脏脂肪指数(VAI)等指标。通过绘制人体测量指标的受试者工作特征曲线(ROC曲线)评估人体测量指标与肥胖儿童非酒精性脂肪肝的相关性,并比较各项人体测量指标的曲线下面积(AUC)确定切点值。结果 肥胖组BMI、WC、WHR、WHtR、AVI、LAP、VAI及TG均高于对照组(t=23.090、21.068、12.547、22.855、17.578、8.159、5.394、6.183,P＜0.001)。肥胖伴非酒精性脂肪肝组BMI、WC、AVI、LAP、VAI均高于肥胖不伴非酒精性脂肪肝组(t=2.180、2.389、2.362、3.643、2.839,P＜0.05)。人体测量指标的ROC曲线下面积按从大到小的顺序依次为 LAP、VAI、 WC、 AVI、 BMI。对肥胖伴非酒精性脂肪肝的联合诊断指标进行筛查效能分析结果显示,LAP+AVI 曲线下面积为0.706(95%CI:0.595~0.817,P＜0.001);AVI+VAI 曲线下面积为0.685(95%CI:0.570~0.800,P＜0.01);BMI+WC 曲线下面积为0.652(95%CI:0.537~0.768,P＜0.05)。联合指标的ROC曲线下面积从大到小为LAP+AVI、AVI+VAI、BMI+WC。结论 LAP联合AVI对儿童肥胖伴非酒精性脂肪肝具有较好的筛查作用。     

不同肥胖指标对中国台湾35～74岁人群高血压的预测价值

目的评价体质指数（BMI）、腰围（WC）、腰臀比（WHR）及腰围身高比（WHtR）对中国台湾35～74岁人群高血压的预测价值。方法摘选台湾某健康体检中心2006年35～74岁人群48753人的健检资料,作各肥胖指标及各肥胖指标不同组合对高血压的受试者工作特征曲线（ROC曲线）,通过比较各个ROC曲线下面积（AUC）评价各肥胖指标对高血压的预测价值。结果不论男女,各肥胖指标及其不同组合对高血压的AUC均大于0.5。与BMI、WC及WHR相比,WHtR对高血压的AUC最大（男性0.686,95%CI：0.679～0.694;女性0.759,95%CI：0.751～0.767）,且差异有统计学意义（均有P〈0.001）。男女相比时,女性WHtR对高血压的AUC大于男性。不同肥胖指标相互组合时,BMI、WC、WHR与WHtR组合对高血压的AUC最大（男性0.693,95%CI：0.686～0.701;女性0.770,95%CI：0.762～0.778）。结论 WHtR能较好反映肥胖对中国台湾35～74岁人群尤其是女性人群高血压的影响,可能是预测高血压的理想肥胖指标。     

南京市成年人体重指数、腰围、腰臀比、腰高比与高血糖关系的随访研究

目的 探讨南京市成年人BMI、腰围(WC)、腰臀比(WHR)和腰高比(WHtR)与高血糖发病危险的关系.方法 2004年7月对南京市3个城区和1个郊县的35岁以上居民开展横断面调查,对无高血糖的人群于2007年7月进行随访.采用多因素logistic回归和受试者工作特征曲线(ROC)评估基线4个肥胖指标对高血糖发生的预测作用.结果 基线调查时无高血糖者共3727名,3年后共随访3031名,随访率为81.3%.高血糖3年累计发病率为6.7%;男女性发病率差异无统计学意义(6.3%vs.7.0%).经多元线性回归分析,BMI、WC、WHR、WHtR平均增加一个单位,随访时空腹血糖值分别增加0.015 mmol/L、0.023 mmol/L、1.923 mmol/L、2.382 mmol/L.随着基线肥胖程度的增加,高血糖的发病危险增加.WHtR≥0.5者发生高血糖的风险,男性(OR=1.998,95%C1:1.231～3.212)和女性(OR=1.832,95%CI:1.157～2.902)均高于其他肥胖指标.4个肥胖指标中,ROC曲线下面积WHtR最大.结论 BMI、WC、WHR和WHtR值的上升均能增加高血糖发病的风险;而WHtR会成为预测高血糖的重要指标.     

Optimal cut-offs of five anthropometric indices and their predictive ability of type 2 diabetes in a nationally representative Kenyan study

BackgroundType 2 diabetes (T2D) is one of the top non-communicable diseases in Kenya and prevention strategies are urgently needed. Intervening to reduce obesity is the most common prevention strategy. However, black populations develop T2D at lower obesity levels and it is unclear which anthropometric cut-offs could provide the best predictive ability for T2D risk. This study, therefore, aimed to determine the optimal anthropometric cut-offs and their predictive ability of T2D in Kenya.MethodsThe study included 2159 participants (59% women) aged 35–70 years from the Kenya STEPwise survey conducted in 2014. Five anthropometric indices were used—body mass index (BMI), waist circumference (WC), waist to hip ratio (WHR), waist to height ratio (WHtR) and waist divided by height^0.5(WHt.5R). Diabetes was defined as a fasting blood glucose of ≥7.0 mmol/l or a previous diagnosis by a health worker. Optimal anthropometric cut-offs and their receiver operating characteristics, such as the area under the curve (AUC), were computed.ResultsOverall, the optimal cut-off for BMI, WC, WHR, WHtR and WHt.5R were 24.8 kg.m⁻², 90 cm, 0.88, 0.54 and 6.9. On disaggregation by sex, the optimal cut-off for BMI, WC, WHR WHtR and WHt.5R was 27.1 kg.m⁻², 87 cm, 0.85, 0.55 and 6.9 in women, and 24.8 kg.m⁻², 91 cm, 0.88, 0.54 and 6.9 in men. Overall, WC (AUC 0.71 (95% confidence interval 0.65, 0.76)) WHtR (AUC 0.71 (0.66, 0.76)) and WHt.5R (AUC 0.70 (0.65,0.75)) had a better predictive ability for T2D than BMI (AUC 0.68 (0.62, 0.73)).ConclusionsWC, WHtR and WHt.5R were better predictors of T2D than BMI and should be used for risk stratification in Kenya. A WC cut-off of 87cm in women and 91cm in men, a WHtR cut-off of 0.54 or a WHt.5R of 6.9 in both men and women should be used to identify individuals at an elevated risk of T2D.     

Waist-hip ratio and waist circumference associated with body mass index in a study with schoolchildren

The objectives of this study were to determine the percentile levels of the anthropometric indices body mass index (BMI), waist-hip ratio (WHR), and waist circumference (WC) and to verify possible correlations among theses indices in schoolchildren registered at the State Institute of Education, Florianópolis, Santa Catarina State, Brazil. A total of 419 children ages 7 to 9 years were investigated: 215 (51.3%) boys and 204 (48.7%) girls. BMI, WHR, and WC were higher for boys than for girls. However, the differences were only statistically significant for WHR and WC. Prevalence rates were 17.9% for overweight and 6.7% for obesity. The anthropometric indices with the highest correlation were BMI and WC (r = 0.87 and p < 0.01). For overweight, BMI and WC also presented the strongest correlation (r = 0.74). For obesity, WHR and WC showed the best correlation (r = 0.54).     

简易体脂参数估测腹内型肥胖的可靠性评价

目的：评价体重指数（BMI）、腰围（WC）、腰臀比（WHR）估测腹内型肥胖的最佳临界点及敏感度、特异度。方法：应用核磁共振（MRI）对690名受试者（男305人，女385人）进行腹内脂肪（VA）测量，同时测量BMI、WC、WHR。以受试者工作特性（ROC）曲线评价简易体脂参数对腹内型肥胖的诊断价值。结果：①经MRI诊断，超重／肥胖者中61．7％，正常体重者中14．2％呈腹内型肥胖（VA≥100cm^2）；②BMI、WC、WHR与腹内脂肪面积呈显著正相关，尤以WC的相关性最好;③简易体脂参数估测腹内脂肪积聚的最佳切割点为BMI：26kg/m^2,WC:90cm,WHR:0.93;④BMI≥28kg/m^2、WC≥95cm时，95％的男性及90％左右的女性呈腹内型肥胖。结论：BMI、WC及WHR都可估测腹内型肥胖，但以腰围的准确率稍高。     

天津市宝坻区老年人体质指数、腰围以及腰围身高比与高血压患病率的关联

  目的   探讨天津市宝坻区60岁及以上老年居民的体质指数(body mass index, BMI)、腰围(waist circumference, WC)以及腰围身高比(waist-to-height ratio, WHtR)与高血压患病率的关联。   方法   本研究对2018年4-5月参加天津市宝坻区口东卫生院体检的老年人(≥60岁)进行问卷调查和体格检查。采用分层分析和logistic回归分析BMI与WC(或WHtR)对高血压的联合作用和交互作用。   结果   共邀请1 692人, 1 417人(83.75%)参与本研究。老年人群的高血压患病率为46.36%、BMI超重和肥胖者占66.50%、WC中心型肥胖者占74.66%、WHtR超重和肥胖者占75.38%。与BMI或WC正常相比, BMI超重(OR=1.65, 95% CI:1.19~2.30)和肥胖(OR=3.41, 95% CI:2.23~5.20)及WC中心型肥胖(OR=1.49, 95% CI:1.00~2.23)均增加高血压的患病风险。BMI联合WC超重/肥胖(OR=2.49, 95% CI:1.78~3.46), 或BMI联合WHtR超重/肥胖(WHtR超重: OR=2.05, 95% CI:1.41~2.99;WHtR肥胖: OR=2.37, 95% CI:1.50~3.76)的患病风险高于后者单独作用的风险(WC超重/肥胖: OR=1.39, 95% CI:0.90~2.15;WHtR超重: OR=1.02, 95% CI:0.62~1.66;WHtR肥胖: OR=1.44, 95% CI:0.55~3.81)。   结论   三项指标中, BMI与高血压患病的关联性最强, 且BMI超重/肥胖增强WC(或WHtR)与高血压的关联, 提示控制BMI相关体重指标在正常范围内有助于预防和控制高血压。     

常用人体测量指标对高血糖的筛查价值探讨

目的探讨体质指数(BMI)、腰围(WC)、腰臀比(WHR)、腰围身高比(WHtR)、腰腿比(WTR)与高血糖的关系及其对高血糖的筛查价值。方法 2010年8月整群抽取在北京世纪坛医院健康体检中心体检的某机关工作人员1280名,测量其身高、体重、腰围、臀围、腿围、血压与空腹血糖及生化指标等。结果①此人群空腹高血糖检出率为40.16%,且随着年龄增长高血糖检出率亦增加;高血糖组的WC、BMI、WHtR、WHR、WTR、SBP、DBP、AST、TC、TG、CRE、UA水平均显著高于血糖正常组,而HDL-C水平低于血糖正常组,同时高血糖组脂肪肝的检出率也显著高于血糖正常组。②对于高血糖,WTR的受试者工作特征曲线(ROC)下面积(AUC)为0.716,高于WHtR(0.690)(P<0.001)、WHR(0.682)(P<0.001)、WC(0.682)(P<0.001)、BMI(0.665)(P<0.001);按性别分层后,在男性中,对于高血糖WTR的AUC(0.648)高于WHtR(0.611)(P<0.001)、WHR(0.614)(P<0.001)、WC(0.598)(P<0.001)和BMI(0.587)(P<0.001);在女性中,WTR对于高血糖的AUC为0.758,低于WHtR(0.774)(P<0.001)和WC(0.761)(P<0.001),但高于BMI(0.738)(P<0.001)和WHR(0.732)(P<0.001);在年龄≥35岁的女性中,WTR对于高血糖的AUC为0.725,高于WHtR(0.716)(P<0.001)、WC(0.705)(P<0.001)、WHR(0.676)(P<0.001)和BMI(0.665)(P<0.001);③在调整年龄和性别后,WTR与高血糖的相关性最强(OR=1.70,95%CI 1.37～2.11,每1 SD增量)。结论该机关工作人员空腹高血糖问题较为严重,WTR比其他4个指标能更好地筛查男性高血糖,在年龄大于35岁的女性中,WTR比其他四个能更好地筛查高血糖。     

农村中老年高血压患者血压水平与身体测量指标的相关性研究

目的 探讨农村社区中老年高血压患者血压水平与肥胖相关身体测量指标的关系.方法 采用横断面调查方法,对连云港农村社区9 991名45 ～75岁原发性高血压患者进行流行病学问卷调查,测量血压,并计算身体测量指标,包括体质指数、腰围、腰臀比、腰围身高比、锥削度指数等.结果 除了女性锥削度指数,舒张压在其他各项肥胖指标四分位数组的分布均呈逐渐升高趋势(均有P＜0.001);多元线性回归分析表明,在调整了年龄、血糖、血脂、吸烟、饮酒等混杂因素后,体质指数、腰围身高比、腰臀比与男性高血压患者的收缩压相关,其中体质指数影响最大(β=1.011,R2=0.052,P=0.002);体质指数、腰围身高比、腰围与女性高血压患者的收缩压相关,以体质指数影响最大(β=0.870,R2=0.040,P＜0.001).各肥胖指标对男女性舒张压影响均有统计学意义(均有P＜0.001),以体质指数影响最大(β=2.001,R2=0.147,P＜0.001).结论 各项肥胖指标均能不同程度的反映农村社区中老年高血压人群的血压水平,其中体质指数与其血压水平关联更为密切.     

Anthropometric indices as screening tools for cardiovascular risk factors in Singaporean women

Previous studies have suggested the need to revise the World Health Organization (WHO) cut-off values for the various indices of obesity and fat distribution in Singapore. The purpose of this study was to delineate cut-off points of body mass index (BMI), waist-hip ratio (WHR), waist circumference (WC), and waist-stature ratio (WSR) as screening tools for cardiovascular risk factors in Singaporean women. Anthropometric indices were measured in a cross sectional survey of 566 subjects (60% Chinese individuals, 28% Malay individuals and 12% Indian individuals). Cardiovascular risk factors were determined by measuring blood pressure, serum lipids, and fasting blood glucose levels. Receiver Operating Characteristic (ROC) curves were constructed to determine cut-off points. Forward logistic regression and area under curves (AUC) were used to determine the best anthropometric index. For at least one cardiovascular risk factor (hypertension, dyslipidaemia and diabetes mellitus), the cut-off points for BMI, WHR, WC and WSR were around 23.6 kg/m(2), 0.80, 77.8 cm and 0.48 for Singaporean females. The AUC of WSR was the highest for all three risk factors in females (0.79 for hypertension, 0.70 for dyslipidaemia, 0.88 for diabetes mellitus). Regression analyses revealed that WSR was independently associated with all risk factors. For Singaporean female adults, the cut-off points were lower than the criteria suggested by the WHO, but were in agreement with those reported for Asians. BMI, WHR, WC and WSR may be used as screening tools for cardiovascular risk factors, of which WSR may be the best anthropometric index.     

Receiver-operating characteristic analyses of body mass index, waist circumference and waist-to-hip ratio for obesity: Screening in young adults in central south of China

BACKGROUND & AIMS: Recent data suggest that current obesity diagnostic criterion based on body mass index (BMI) above 30 in Caucasians may not be appropriate for Asian populations. Our aim was to identify the usefulness of BMI, waist circumference (WC) and waist-to-hip ratio (WHR) in screening for obesity in an Asian population. METHODS: A cross-sectional sample of 1109 males and 879 females aged 20-45-yr were recruited. Height, weight, WC, hip circumference and percentage body fat (PBF) were measured in all subjects. Then receiver-operating characteristic analyses were used to evaluate the performances of the three anthropometric indices. RESULTS: BMI, WC and WHR showed strong positive correlation with PBF (r=0.47-0.75) in both males and females within both age groups. True-positive rates ranged from 82.4% to 94.1% and 68.8% to 86.3% in males and females, respectively. True-negative rates ranged from 64.1% to 84.7% and from 56.9% to 79.0%, respectively. The areas under the curves (AUCs) for WC and BMI were high (0.76-0.92) in both sexes and divided age groups (20-30-yr and 31-45-yr), and those for WHR were a little lower (0.74-0.88). CONCLUSIONS: BMI and WC are two important predictors for obesity in Chinese, and WHR is an alternative.     

Prevalence of overweight and abdominal obesity according to anthropometric parameters and the association with sexual maturation in adolescent schoolchildren

The objective of the present study was to estimate the prevalence of overweight and abdominal obesity in schoolchildren according to anthropometric parameters and sexual maturation. A cross-sectional study was performed in 1,405 children of both genders aged 10-14 years, living in Recife, Pernambuco State, Brazil, in 2007. Body mass index (BMI), waist circumference (WC), and waist-to-height ratio (WHtR) were assessed. Sexual maturation was self-assessed. Early sexual maturation was defined as the chronological age below the median age for the referred stage. Prevalence of overweight was 20.4% (95%CI: 18.3-22.6), and abdominal obesity was 14.9% (95%CI: 13.1-16.9) and 12.6% (95%CI: 10.9-14.4) according to WC and WHtR, respectively. There was a strong positive correlation among BMI, WC, and WHtR (rho ? 0.8; p < 0.001). In both genders, the prevalence of overweight and abdominal obesity was higher in the final stages of sexual maturation (p < 0.05). The high prevalence of overweight requires urgent preventive measures and control. Therefore, the inclusion of sexual maturation for the assessment of nutritional status is recommended.     

不同肥胖指标与MS其他组分患病风险研究

目的分析体质指数(BMI)、腰围(WC)、腰围/身高比值(WHtR)3个肥胖指标与MS及其他组分的相关性。方法选取2008年参加健康体检的延吉市某社区居民,进行问卷调查、血压测量、体格检查及生化指标检测。对资料完整的886例对象按照不同的BMI、WC水平进行分层,比较分析代谢异常组分患病情况。对WHtR指标与MS其他组分异常数量的相关性进行分析,并寻找适合的切点,分析其对MS的患病风险。结果调查对象中肥胖程度比较严重,且各项指标存在性别差异;各项代谢异常患病率均与BMI和WC有关,两者均异常时,各项表示代谢性健康风险的OR值明显高于BMI与WC各单项异常组(P﹤0.01),但仅有腹型肥胖时,其OR值均高于BMI超重而WC正常者;WHtR与代谢异常数量之间存在正相关(r=0.479,P﹤0.01),当WHtR超过0.50时,个体MS患病危险度显著增加(OR:1.564,95%CI:1.046～1.896,P﹤0.01)。结论 BMI和WC异常可增加代谢异常疾病的患病风险,WHtR是较好代表中心性肥胖的指标,在防治MS其他组分时应将体脂增多同时伴有脂肪分布异常者列为重点高危人群。     

5种肥胖指标对不同性别及年龄组高血压的预测效果比较

目的 比较不同肥胖指标对不同性别、年龄人群高血压风险的预测价值。方法 基于深圳市龙华区2018年社区居民健康调查数据,对体质指数（BMI）、腰围（WC）、腰围身高比（WHtR）、腰臀比（WHR）和人体肥胖指数（BAI）共5种肥胖指标进行标准化转换,根据Logistic回归分析所得OR值,比较各肥胖指标与高血压的相关性;根据受试者工作特征曲线（ROC）下面积（AUC）,判断各肥胖指标对高血压的预测价值,进而综合评价各肥胖指标对高血压的预测能力。结果 在调整混杂因素后,WC和WHtR与男性和女性高血压的相关性强于其他肥胖指标。WHtR对于男性和女性高血压的预测能力均强于其他肥胖指标,其AUC及95%CI分别为0.694（0.659~0.728）和0.763（0.732~0.794）,其截断值分别为0.51和0.50;女性中各肥胖指标预测高血压的AUC均大于男性,各肥胖指标对女性高血压有更高的预测价值。对男女进行年龄分层后,在男性中除WHR外各肥胖指标对于青年组（18~44岁）高血压的预测价值优于中年组（45~59岁）和老年组（60~80岁）;在女性中各肥胖指标对于高血压的预测价值随着年龄的增长而降低,依次为青年组>中年组>老年组。结论 在综合考虑性别和年龄后,中心型肥胖指标中的WHtR对高血压的预测能力优于WC、BMI、WHR和BAI。     

Indices of abdominal obesity are better discriminators of cardiovascular risk factors than BMI: a meta-analysis

OBJECTIVE: To determine which simple index of overweight and obesity is the best discriminator of cardiovascular risk factors. STUDY DESIGN AND SETTING: This is a meta-analysis of published literature. MEDLINE was searched. Studies that used receiver-operating characteristics (ROC) curve analysis and published area under the ROC curves (AUC) for overweight and obesity indices with hypertension, type-2 diabetes, and/or dyslipidemia were included. The AUC for each of the four indices, with each risk factor, was pooled using a random-effects model; male and female data were analyzed separately. RESULTS: Ten studies met the inclusion criteria. Body mass index (BMI) was the poorest discriminator for cardiovascular risk factors. Waist-to-height ratio (WHtR) was the best discriminator for hypertension, diabetes, and dyslipidemia in both sexes; its pooled AUC (95% confidence intervals) ranged from 0.67 (0.64, 0.69) to 0.73 (0.70, 0.75) and from 0.68 (0.63, 0.72) to 0.76 (0.70, 0.81) in males and females, respectively. CONCLUSION: Statistical evidence supports the superiority of measures of centralized obesity, especially WHtR, over BMI, for detecting cardiovascular risk factors in both men and women.     

Waist to stature ratio is more strongly associated with cardiovascular risk factors than other simple anthropometric indices

PURPOSE: To determine which is the best anthropometric index among body mass index (BMI), waist circumference (WC), waist to hip ratio (WHR) and waist to stature ratio (WSR) in relation to cardiovascular risk factors. METHODS: A representative sample of 2895 Hong Kong Chinese aged 25 to 74 years received medical examinations in 1995 and 1996. Anthropometric indices and cardiovascular risk factors in blood were measured, and partial correlation and Receiver Operator Characteristic (ROC) curves were used in analysis. RESULTS: Among 11 cardiovascular risk factors in partial correlation analysis, including ties WSR had the highest r in 6 in men, and 5 in women; followed by WC with 4 in men and 6 in women. In ROC analyses of 21 risk factors and health conditions, the area under curve (AUC) of WSR was the largest for most (13 of 21) factors in men and 10 in women; followed by WHR with 14 in women but only 5 in men. The optimal WSR cutoff value was 0.48 for both men and women. CONCLUSIONS: WSR is the best simple anthropometric index in predicting a wide range of cardiovascular risk factors and related health conditions. A simple message that one's waist circumference should not exceed half the stature is recommended for the public.     

肥胖与冠心病关系的Meta分析

目的系统评价肥胖的体表测量指标与冠心病的相关性,为冠心病的预防控制提供参考依据。方法运用RevMan4．2统计软件,对搜集到的肥胖体表测量指标与冠心病关系的国内外文献进行Meta分析。结果体质指数（BMII〉25kg／m2）、腰臀比（WHR：男〉0．90,女〉0．80）与冠心病关系的合并OR值分别为2．49（95％CI：1．80-3．45）,5．14（95％CI：3．76～7．04）;WHR、腰围（Wc）与冠心病关系的加权均数差（WMD）分别为0．03（95％CI：0．02-0．04）,3．82（95％CI：1．09-6．55）;臀嗣（Hc）与冠心病间无相关性。结论BMI≥25kg／m2是冠心病的危险因素,腹部肥胖成为冠心病的重要危险因素。     

Waist circumference as a screening tool for weight management: evaluation using receiver operating characteristic curves for Malay subjects

Body Mass Index (BMI) is the most established anthropometric indicator used for assessment of nutritional status. Other anthropometric indicators which are related closely to BMI are waist hip ratio (WHR) and waist circumference. In this paper, receiver operating characteristics (ROC) curves were constructed to assess the value of waist circumference and waist hip ratio as a screening measure for the need of weight management using BMI as the reference test. Sensitivity and specificity were calculated at several cut-offs. The areas under the ROC curve calculated by comparing waist circumference with BMI were high (0.70 - 0.86) while the areas calculated for WHR were low (0.46 - 0.67). Sensitivities of 0.745 and 0.800 were observed at cut-off points of waist circumference at 90cm and 80cm for males and females respectively, while the false positive rates were 0.233 for males and 0.250 for females. These cut-off points could be considered as a fair trade-off. Therefore it is concluded that waist circumference performed better than WHR as a screening test. It is indicative that waist circumference could be used as a tool in raising awareness of weight management in this population.     

贵阳市减重门诊患者腰围、腰身比与高甘油三酯血症的相关性研究

目的 评价体质指数（body mass index,BMI）、腰围、腰身比和体脂肪率与高甘油三酯血症的关系及其筛检价值。方法 收集2015年2月~12月贵州医科大学附属医院体重管理门诊患者119例。检测身高、体重、腰围、体成分及血脂水平。采用受试者工作特征曲线（receiver operating characteristic curve,ROC）法分析BMI、腰围、腰身比、体脂肪率对甘油三酯超标的筛检率,用曲线下面积（area under curve,AUC）表示。采用多重线性回归分析探讨BMI、腰围、腰身比和体脂率在不同人群中与甘油三酯超标的关系。结果 在女性患者中,腰围和腰身比的AUC高于BMI和体脂肪率（均有P<0.05）;男性患者中,腰身比的AUC最大。在女性和男性中,腰身比和腰围高的患者发生甘油三酯超标的风险均高于腰身比和腰围低的患者（均有P<0.05）。结论 腰围和腰身比对高甘油三酯血症的筛检价值优于体脂肪率和BMI。