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曾伟, 黄晓波, 贾勇, 魏咏兰, 王琼, 鹿茸, 夏劲节. 不同肥胖指标对糖尿病风险预测效果分析[J]. 中国公共卫生, 2010, 26(9): 1095-1097. DOI: 10.11847/zgggws2010-26-09-06
引用本文: 曾伟, 黄晓波, 贾勇, 魏咏兰, 王琼, 鹿茸, 夏劲节. 不同肥胖指标对糖尿病风险预测效果分析[J]. 中国公共卫生, 2010, 26(9): 1095-1097. DOI: 10.11847/zgggws2010-26-09-06
ZENG Wei, HUANG Xiao-bo, JIA Yong, . Predictive value of obesity indicators to diabetes risk[J]. Chinese Journal of Public Health, 2010, 26(9): 1095-1097. DOI: 10.11847/zgggws2010-26-09-06
Citation: ZENG Wei, HUANG Xiao-bo, JIA Yong, . Predictive value of obesity indicators to diabetes risk[J]. Chinese Journal of Public Health, 2010, 26(9): 1095-1097. DOI: 10.11847/zgggws2010-26-09-06

不同肥胖指标对糖尿病风险预测效果分析

Predictive value of obesity indicators to diabetes risk

  • 摘要: 目的 探讨体质指数(BMI)、腰围(WC)、腰臀比(WHR)、腰围身高比(WHtR)4种肥胖指标对预测糖尿病风险的效果.方法 利用四川成都市2008年调查5 205名40~70岁人群数据,分析4种指标及身高的相关关系;应用受试者特性曲线(ROC)、Logistic回归分析比较4个指标对糖尿病的预测效果.结果 WHtR与腰围相关性最高(男性r=0.938 4,女性r=0.956 2,P<0.05);4个指标中,ROC曲线下面积男性WHR最大,女性WHtR最大(男性c=0.641 5,女性c=0.669 2);Logistic回归分析中,男性WHR,女性WC预测价值最佳(男性OR=3.107,女性OR=2.684),调整4个指标交互作用后,BMI结合WC、WHR、WHtR并不能明显提高模型预测效果.结论 本研究人群糖尿病风险模型中,男性选择WHR作为肥胖评定指标,最佳切点为0.90,女性选择WC作为肥胖评定指标,最佳切点为83 cm,但在不同地区和人群的应用需要进一步研究.

     

    Abstract: Objective To evaluate the predictive values of body mass index(BMI),waist circum ference(WC),waist/hipratio(WHR),and waistheight ratio(WHRt) to diabetes risk.Methods Data came form the 2008 Chengdu Diabetes Survey,a population based cross sectional study,and 5205 residents aged 40-70 years were enrolled.Results WHRt showed positive correlation with WC(r=0.9384 in male,r=0.9526 in female,P < 0.05).WHR in male and WC in female showed low corre lation with height(r=0.0278 in male,r=0.029 4 in female,P > 0.05).WHR in male and WHtR in female were found to have the large stareas under the ROC curve relative to diabetes(c=0.641 5 in male,c=0.669 2 in female).Logistic reg ression analysis showed that WHR in male and WC in female were the best predictors related to obesity among the 4 de liberated indexes to diabetes risk(odds ratioOR=3.107 in male,OR=2.684 in femle).After controling the in teraction of 4 indexes,BMI combined with WC,WHR or WHRt could not improve the predictive value in the model.Conclusion The results suggest that WHR in male and WC in female are the best predictors related to obesity among the 4 evaluation indicators.The best cut off points of WHR in male and WC in female are 0.90 and 83 centmieter,respectively,and the application of the predictors in defferent a reaor population needs to be researched.

     

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