Logistic回归与ROC曲线在甘肃省高校学生人群超重/肥胖筛查中的应用  

Using Logistic Regression and the ROC Curve on College Student Population' Overweight/Obesity Screening in Gansu Province

作　　者：宿荣荣[1] 徐嘉[1] 

机构地区：[1]西北师范大学体育学院,甘肃兰州730070

出　　处：《湖北体育科技》2014年第3期218-220,共3页Hubei Sports Science

摘　　要：探讨Logistic回归与Roc曲线在甘肃省高校学生人群超重/肥胖筛查中的可行性。综合运用Logistic与Roc曲线筛查甘肃省高校学生人群超重/肥胖是可行的,年龄、是否经常吃零食、吃饭速度、是否吃经常吃夜宵、每天静坐时间5个生活方式指标综合预测模型具有较好的预测效果。This paper discussed the feasibility of used Logistic regression and Roc curve in college students overweight/obesity screening in Gansu province. The five lifestyle indicators comprehensive prediction model of age, whether often eat snacks, eat fast, if often eat food taken late at night, and every day sit time five had better prediction effect.

关 键 词：甘肃省 高校学生 超重 肥胖 筛查 LOGISTIC模型 ROC曲线 

分 类 号：G804.49[文化科学—运动人体科学]