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]复旦大学附属上海市第五人民医院内分泌科,200240
出 处:《中国综合临床》2016年第9期791-793,共3页Clinical Medicine of China
摘 要:目的:探讨人体肥胖指数( BAI)预判糖、脂、尿酸代谢异常患病风险的价值。方法将居住在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名,女3026名,使用Medcale软件比较不同性别研究对象BMI、腰围、腰臀比、BAI预判糖脂尿酸代谢异常的ROC曲线下面积。结果(1)受试者工作特征曲线分析显示,在男性人群中,BMI、腰围、腰臀比和BAI预判血糖代谢异常的曲线下面积( AUC)分别为0.553、0.556、0.538、0.540( P均<0.05),4者比较差异无统计学意义( P 均>0.05);在女性人群中,腰围、腰臀比、BAI 预判血糖代谢异常的 AUC 分别为0.523、0.523、0.535( P 均<0.05), BMI 预判血糖代谢异常的 AUC 为0.513( P>0.05),低于 BAI ( P<0.05)。(2)BMI、腰围、腰臀比和BAI预判脂代谢异常的AUC男性分别为0.641、0.626、0.563、0.588(P均<0.05),女性分别为0.617、0.613、0.597、0.587(P均<0.05),男性和女性BMI、腰围的AUC均高于BAI(P均<0.05)。(3) BMI、腰围、腰臀比和 BAI 预判高尿酸血症的 AUC 男性分别为0.685、0.665、0.609、0.577( P均<0.05),女性分别为0.730、0.708、0.656、0.649( P均<0.05),男性和女性BMI、腰围的AUC均高于BAI( P均<0.05)。结论 BAI预判代谢性疾病有一定价值,但不及BMI与腰围。Objective To discuss the value of body adiposity index( BAI) in the prediction of the risk of dysglycemia,dyslipidemia and hyperuricemia.Methods Five thousand and thirty residents as the participants from Jinshan New Area and nearby of Jinshan,Shanghai were enrolled,including 2004 males and 3026 females. The receiver operating characteristic curve( ROC) was drew to predict dysglycemia,dyslipidemia and hyperurice-mia by body mass index( BMI) ,waist circumference( WC) ,waist-hip ratio( WHR) and BAI in different gender groups.Medcale soft was used to compare the area under the curve.Results According to the ROC analysis,in males the area under curve in the prediction of dysglycemia of BMI,WC,WHR and BAI was 0.553,0.556,0. 538,0.540(P〈0.05),and 0.513,0.523,0.523,0.535 in females(P〈0.05).The area under curve in the predic-tion of dyslipidemia of BMI,WC,WHR and BAI was 0.641,0.626,0.563,0.588(P〈0.05) in males and 0.617, 0.613,0.597,0.587(P〈0.05) in females.The area under curve in the prediction of hyperuricemia of BMI,WC, WHR and BAI was 0.685,0.665,0.609,0.577(P〈0.05) in males and 0.730,0.708,0.656,0.649(P〈0.05) in females,and BMI, WC of AUC were higher than BAI both in males and females(P〈0.05).Conclusion BAI could be a predictor for the risk of metabolic disease,but less than BMI and WC.
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:216.73.216.28