论文部分内容阅读
目的:在体质指数(BMI)<25kg/m2的人群中找到能有效评价代谢风险聚集的最佳指标。方法:2007年4～8月期间入选了北京社区18～95岁BMI<25kg/m2的居民(男性1881例,女性3101例),进行了身高、体重、腰围、臀围的测量及血压、空腹血糖、TC、TG的检测。代谢危险因素定义如下:①血压升高:收缩压≥130mmHg(1mmHg=0·133kPa)和(或)舒张压≥85mmHg,或已经接受相应治疗,或此前已经诊断为高血压;②空腹血糖升高:空腹血糖>5.6mmol/L,或已经接受相应治疗,或此前已经诊断为糖尿病;③TG水平升高:>1.7mmol/L,或已经接受相应治疗;④HDL-C水平降低:男性<0.9mmol/L,女性<1.0mmol/L,或已经接受相应治疗。使用相关分析、线性回归模型及ROC曲线分析对各种人体测量指数与代谢危险因素的关系进行分析。结果:所有人体测量指数均与代谢危险因素正相关。对于男性人群,要检出2个以上代谢危险因素的聚集,腰臀比、腰围身高比、腰围均较BMI有相对高的ROC曲线下面积(AUC),腰围、腰臀比和腰围身高比之间的AUC无显著性差异。而对于女性人群,4个体质指数的AUC之间均无显著性差异。结论:非肥胖人群中,中心性肥胖指标适宜作为评价男性代谢危险因素聚集的敏感指标,而对于女性人群,BMI和中心性肥胖指标均可用于检出代谢危险因素。
OBJECTIVES: To find the best indicator of aggregation of metabolic risk in a population with a body mass index (BMI) <25 kg / m2. METHODS: From April to August 2007, residents (1881 males and 3101 females) with BMI <25 kg / m2 aged 18-95 years were enrolled in the Beijing community. Height, weight, waist circumference and hip circumference were measured. Blood pressure, Blood glucose, TC, TG detection. Metabolic risk factors are defined as follows: ① elevated blood pressure: systolic blood pressure ≥ 130mmHg (1mmHg = 0.133kPa) and (or) diastolic blood pressure ≥ 85mmHg, or have been treated accordingly, or had been diagnosed with hypertension; ② fasting blood glucose : Fasting blood glucose> 5.6mmol / L, or have received the appropriate treatment, or had been diagnosed with diabetes; ③ TG levels increased:> 1.7mmol / L, or have been receiving appropriate treatment; ④ HDL-C levels decreased: L, women <1.0mmol / L, or have received the appropriate treatment. The relationship between various anthropometric indices and metabolic risk factors was analyzed using correlation analysis, linear regression model and ROC curve analysis. Results: All anthropometric indices were positively correlated with metabolic risk factors. For the male population, the area under the ROC curve (AUC), waist circumference, waist-to-hip ratio, and waist circumference to body mass ratio, waist-to-hip ratio, waist circumference ratio, Between the AUC no significant difference. For the female population, there was no significant difference in AUC between the four body mass index. Conclusion: In non-obese population, the central obesity index is suitable as a sensitive index to evaluate the aggregation of male metabolic risk factors. For female population, BMI and central obesity index can be used to detect metabolic risk factors.