检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
机构地区:[1]复旦大学附属金山医院内分泌代谢科,上海201508 [2]复旦大学附属第五人民医院内分泌代谢科
出 处:《中国综合临床》2015年第1期54-56,共3页Clinical Medicine of China
摘 要:目的比较体质量指数(BMI)、腰围(WC)与腰臀比(WHR)对预测糖脂代谢异常患病风险的不同,确定最佳的预测指标。方法上海市金山区金山新城及附近小区的志愿者居民作为研究对象,纳入人数5030名,其中男2004例,女3026名,分别以BMI、WC、WHR为评判标准将男女人群分为肥胖组和非肥胖组。分析比较BMI、WC、WHR预测糖脂代谢异常受试者工作特征曲线(ROC)下面积。结果BMI组的曲线下面积最大,男性为0.641(P〈0.05),女性为0.617(P〈0.05),在男性中的切点为24.67,女性中的为23.88,WC组的与之相当,男性中的切点为88.50cm,女性中的为84.50cm,WHR组的稍小,男女呈一致性;在男性人群中BMI(切点为26.01)、WC(切点为88.50cm)和WHR(切点为0.89)预测血糖代谢异常均有一定价值,且三者比较差异无统计学意义。在女性人群中,WC、WHR预测血糖代谢异常价值较弱,曲线下面积比较差异无统计学意义,BMI预测血糖代谢异常没有价值,曲线下面积仅为0.513(P〉0.05)。结论BMI是预测脂代谢异常最佳的指标。BMI、WC和WHR预测糖代谢异常有性别差异,BMI预测女性糖代谢异常没有价值。Objective To investigate the clinical significant and the difference of predicting the risk of dysglycemia and dyslipidemia by body mass index (BMIL), waist circumference (WC) and waist-to-hip ratio (WHR) in order to look for the best predicting index. Methods Five thousand and thirty residents were participated to this study who were from Jinshan New Area and nearby of Jinshan, Shanghai, including 2004 males and 3026 females. They were divided into obesity group and non-obesity group based on the index of BMI, WC and WHR respectively. The ROC was made based on the above indies in different gender groups. Results The ROC area of BMI was the biggest with 0. 641 (P 〈 0. 05 ) for male and O. 617 (P 〈 0. 05) for female. The cut off value was 24. 67 or 23.88 based on the male or the female. The same trend was seen in terms of WC with 88.5 cm for the male and 84. 5 cm for the female. The small cut off value was seen in terms of WHR and there was no significant between male and female. Among male people, the cut off values was 26. 01 in terms of BMI and 88.5 cm in terms of WC ,0. 89 cm in terms of WHR. Among the female people,there was the less predicting significant in terms of WC or WHR. The area under the curve had no significant differences, and the BMI predicted abnormal blood glucose of no value, the area under the curve is only 0. 513 (P 〉 0.05 ). Conclusion BMI is proved the best predictor for the risk of dyslipidemia. There are significant among BMI, WC and WHR in terms of predicting dysglycemia in different gender. BMI is proved without significant regarding of predicting dysglycemia in females.
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:3.21.168.253