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目的 根据广东省人群体质指数 (BMI)、腰围及腰臀围比 (WHR)的分布特征、及其与糖尿病、高血压患病风险的关系 ,评价和探讨广东省人群的肥胖诊断标准。方法 利用 1998年广东省糖尿病流行病学调查中 1175 7例抽样人群相关数据 ,分析BMI、腰围及WHR的人群分布特征 ,寻找适合广东人群的诊断切点 ,并分析其对高血压、糖尿病患病危险的预测价值。结果 ①男女人群的BMI、腰围和WHR均呈正偏态分布 ,女性BMI、腰围和WHR的 75 %位数接近WHO所推荐的 2 5 ( 2 4 2 0kg/m2 )、80 ( 79 43cm)和 0 85 ( 0 87) ;男性人群则分别为 2 4 3 1,84 67和 0 90 ,WHO所推荐的男性腰围 >94、WHR >1 0标准相当于男性人群的 95 %位数。②依据WHO推荐的标准 ,调查人群中 ,BMI≥ 2 5kg/m2 男女分别占19 0 4%和 18 84%;男性腰围 >94cm仅占 4 75 %,女性腰围 >80cm占 2 2 81%;男性WHR >1 0占 0 79%,女性WHR >0 85则占 3 2 77%。③两性人群BMI、腰围和WHR三者间呈显著的线性相关 ;男性腰围 >94cm、WHR >1 0与BMI≥ 2 5kg/m2 的诊断一直性Kappa值分别为 0 2 92和 0 0 41,明显低于女性腰围 ( >80cm)、WHR( >1 0 )与BMI(≥ 2 5kg/m2 )的Kappa值 (分别为 0 60 3和 0 2 93 )。④男性人群中 ,如以腰围 >85cm、WHR >0 9为切点 ,两
Objective To evaluate and discuss the diagnostic criteria of obesity among Guangdong population based on the distribution characteristics of body mass index (BMI), waist circumference and waist-hip ratio (WHR), and their relationship with the risk of diabetes mellitus and hypertension in Guangdong province. Methods According to the data of 1175 people sampled from 775 samples in Guangdong epidemiological survey of diabetes in 1998, the population distribution characteristics of BMI, waist circumference and WHR were analyzed to find out the diagnostic cut-point suitable for Guangdong population and to analyze the influence on hypertension, diabetes mellitus Dangerous predictive value. Results ① The BMI, waist circumference and WHR of men and women were positively skewed. The 75% of the women’s BMI, waist circumference and WHR were close to the WHO recommended 25 (22400kg / m2), 80 (7943cm) and 0 85 (0 87). The male population was respectively 2 4 3 1,84 67 and 0 90. The WHO recommended men’s waist circumference> 94. The WHR> 10 standard corresponded to 95% of the male population. ② According to the criteria recommended by the WHO, men and women with BMI ≥ 25 kg / m2 accounted for 19 0 4% and 18 84%, respectively; those with waist circumference> 94 cm only accounted for 4 75% and those with waist circumference> 80 cm accounted for 21 81% WHR> 10 accounted for 0 79%, women WHR> 0 85 accounted for 3277%. (3) There was a significant linear correlation between BMI, waist circumference and WHR in both sexes. The diagnostic Kappa values of diagnosis of male with waist circumference> 94cm, WHR> 10 and BMI≥25kg / m2 were 0 2 92 and 0 0 41 respectively Was lower than the Kappa values for female waist circumference (> 80 cm), WHR (> 10) and BMI (≥ 25 kg / m2) (0 60 3 and 0 2 93, respectively). ④ male population, such as the waist circumference> 85cm, WHR> 0 9 as the cut-off point, two