中华健康管理学杂志
中華健康管理學雜誌
중화건강관이학잡지
CHINESE JOURNAL OF HEALTH MANAGEMENT
2010年
6期
366-370
,共5页
王卉呈%崔娟%杨正雄%翟屹%赵文华
王卉呈%崔娟%楊正雄%翟屹%趙文華
왕훼정%최연%양정웅%적흘%조문화
预测%慢性病%评价研究
預測%慢性病%評價研究
예측%만성병%평개연구
Forecasting%Chronic diseases%Evaluation studies
目的 建立一个能够综合反映个体肥胖程度的指标,为慢病高危人群的筛查提供有力的工具.方法 应用2002年中国居民营养与健康状况调查资料,通过分析体重指数和腰围与相关慢性病指标的相关程度初步建立慢病风险指数,应用受试者工作特征曲线(ROC曲线)确定慢病风险指数的切点,并比较慢病风险指数、体重指数和腰围对慢性病的预测效率,进而分析慢病风险指数与体重指数和腰围预测慢病的一致性及不同慢病风险指数水平下相关慢性病的患病风险.结果 初步建立的慢病风险指数公式为慢病风险指数=体质指数+3.5腰围,ROC曲线分析显示慢病风险指数切点为300,并且慢病风险指数比体重指数和腰围有更高的筛查效率.慢病风险指数与体重指数、腰围分别有很高的一致性(P<0.05).与慢病风险指数小于300组人群相比,慢病风险指数每增加20单位,相应慢病患病危险也大幅增长.结论 慢病风险指数对相关慢性病有较好的筛查效率,能够综合反映个体的肥胖程度,可以作为高危人群筛查的参考值.
目的 建立一箇能夠綜閤反映箇體肥胖程度的指標,為慢病高危人群的篩查提供有力的工具.方法 應用2002年中國居民營養與健康狀況調查資料,通過分析體重指數和腰圍與相關慢性病指標的相關程度初步建立慢病風險指數,應用受試者工作特徵麯線(ROC麯線)確定慢病風險指數的切點,併比較慢病風險指數、體重指數和腰圍對慢性病的預測效率,進而分析慢病風險指數與體重指數和腰圍預測慢病的一緻性及不同慢病風險指數水平下相關慢性病的患病風險.結果 初步建立的慢病風險指數公式為慢病風險指數=體質指數+3.5腰圍,ROC麯線分析顯示慢病風險指數切點為300,併且慢病風險指數比體重指數和腰圍有更高的篩查效率.慢病風險指數與體重指數、腰圍分彆有很高的一緻性(P<0.05).與慢病風險指數小于300組人群相比,慢病風險指數每增加20單位,相應慢病患病危險也大幅增長.結論 慢病風險指數對相關慢性病有較好的篩查效率,能夠綜閤反映箇體的肥胖程度,可以作為高危人群篩查的參攷值.
목적 건립일개능구종합반영개체비반정도적지표,위만병고위인군적사사제공유력적공구.방법 응용2002년중국거민영양여건강상황조사자료,통과분석체중지수화요위여상관만성병지표적상관정도초보건립만병풍험지수,응용수시자공작특정곡선(ROC곡선)학정만병풍험지수적절점,병비교만병풍험지수、체중지수화요위대만성병적예측효솔,진이분석만병풍험지수여체중지수화요위예측만병적일치성급불동만병풍험지수수평하상관만성병적환병풍험.결과 초보건립적만병풍험지수공식위만병풍험지수=체질지수+3.5요위,ROC곡선분석현시만병풍험지수절점위300,병차만병풍험지수비체중지수화요위유경고적사사효솔.만병풍험지수여체중지수、요위분별유흔고적일치성(P<0.05).여만병풍험지수소우300조인군상비,만병풍험지수매증가20단위,상응만병환병위험야대폭증장.결론 만병풍험지수대상관만성병유교호적사사효솔,능구종합반영개체적비반정도,가이작위고위인군사사적삼고치.
Objectives To develop a measurement for obesity assessment which could be used as a simple tool of risk screening. Methods The data of National Nutrition and Health Survey ( 2002 ) were used to analyze the relationship between body mass index ( BMI ), waist circumference (WC) and chronic diseases, based on which chronic disease index ( CRI ) was established. Receiver operating characteristic curve (ROC) was used to determine the cut-off of CRI and to compare the predictive effectiveness of CRI,BMI and WC on chronic diseases. The kappa test was chosen to estimate the consistency of different cut-off of CRI with BMI and WC. The odds ratios of chronic diseases in different cut-offs of CRI were calculated by multiple Logistic regression analysis. Results CRI was calculated as CRI = BMI + 3.5 WC. In ROC curve,the cut-off of CRI was 300. The predictive effectiveness of CRI was higher than that of BMI and WC. CRI at 300 showed the best consistency with 24 kg/m2 BMI and 85 cm WC (P <0. 05 ). In comparison with CRI <300,the risk of chronic diseases was significantly increased with an increase of 20 U CRI. Conclusion CRI shows good predietive effectiveness and could be used to identify those with higher risk of chronic diseases.