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人体测量指标与中小学生胰岛素抵抗的相关性研究
引用本文:齐茵琳,王军伟,王亚亭.人体测量指标与中小学生胰岛素抵抗的相关性研究[J].中国儿童保健杂志,2016,24(4):431-433.
作者姓名:齐茵琳  王军伟  王亚亭
作者单位:1.安徽医科大学第一附属医院儿科,安徽 合肥 230022;2.浙江省天台县人民医院急诊科,浙江 台州 317200
基金项目:浙江省医药卫生科技项目(2013ZHA019)
摘    要:目的 了解体质指数(BMI)、腰围、腰臀比(WHR)及脂肪率与中小学生胰岛素抵抗的相关性。方法 测量247例中小学生身高、体重、腰围、臀围、脂肪率(%BF),计算BMI、WHR,测量其空腹血糖(FBG)及空腹胰岛素(FIN),通过稳态模型法(HOMA)计算胰岛素抵抗(IR)指数(HOMA-IR),评价胰岛素敏感性;通过ROC曲线下面积评价各项指标对IR的预测效能,并计算出相应指标的特异度及灵敏度,两者同时最大的点作为各项指标的切点。结果 ROC曲线下面积、切点分别为:BMI 0.771、27.45,WHR 0.681、0.923,腰围0.777、86.5 cm,%BF 0.66%、26.85%。结论 腰围、BMI、WHR、脂肪率均可作为预测IR的参考指标,腰围和BMI为最佳指标。

关 键 词:体质指数    腰围    腰臀比    脂肪率    胰岛素抵抗    儿童  
收稿时间:2015-02-15

Association of anthropometrical indices and insulin resistance in primary and middle school students.
QI Yin-lin,WANG Jun-wei,WANG Ya-ting..Association of anthropometrical indices and insulin resistance in primary and middle school students.[J].Chinese Journal of Child Health Care,2016,24(4):431-433.
Authors:QI Yin-lin  WANG Jun-wei  WANG Ya-ting
Institution:1.The First Affiliated Hospital of Anhui Medical University,Hefei,Anhui 230022,China;2.The People's Hospital of Tiantai,Taizhou,Zhejiang 317200,China
Abstract:Objective To study the correlation between body mass index (BMI),waist circumference(WC),waist-hip ratio(WHR),percent body fat (%BF) and insulin resistance(IR) in primary and middle school students. Methods Height,weight,waist circumference,hip circumference,%BF,the fasting blood glucose (FBG) and fasting insulin (FIN) of 247 cases of schoolchildren were measured,and BMI and WHR were calculated.HOMA-IR index was calculated and receiver operating characteristic (ROC) analysis was used to find the optimal cutoff of HOMA-IR for the indicators. Results The area under the ROC curve and the optimal cutoff for BMI were 0.771,27.45,and for waist-to-hip ratio 0.681,0.923,and for waist circumference,0.777 cm,86.5 cm,and for fat rate were 0.66%,26.85%,respectively. Conclusions Waist circumference,BMI,waist hip ratio,%BF can be used as a reference index to predict the IR.Waist circumference and BMI is the best prediction index of IR.
Keywords:body mass index  waist circumference  waist-hip ratio  percent body fat  insulin resistance  schoolchildren  
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