中华临床营养杂志
中華臨床營養雜誌
중화림상영양잡지
Chinese Journal of Clinical Nutrition
2015年
4期
229-233
,共5页
蒋建家%张雅萍%林振忠%牟伦盼%孙炳庆%苏劲波
蔣建傢%張雅萍%林振忠%牟倫盼%孫炳慶%囌勁波
장건가%장아평%림진충%모륜반%손병경%소경파
腰围身高比%代谢综合征%切点
腰圍身高比%代謝綜閤徵%切點
요위신고비%대사종합정%절점
Waist-to-height ratio%Metabolic syndrome%Cut-off point
目的 研究腰围身高比与代谢综合征的关系,寻找腰围身高比预测代谢综合征的最佳切点.方法 采用横断面调查方法,纳入2012年1月至2014年6月在福建医科大学附属泉州第一医院进行体检的343名人员,体检项目包括腰围、身高、体质量、血压、实验室检查(包括空腹血糖、口服葡萄糖耐量试验2h血糖、三酰甘油、高密度脂蛋白胆固醇)、CT测定腹腔内脂肪面积.通过受试者工作特征(ROC)曲线分析得到腰围身高比预测代谢综合征的最佳切点.结果 343名体检者中共检出195例代谢综合征患者,总患病率为56.8%,其中男性患病率为70.2%(127/181),女性患病率为42.0% (68/162).在ROC曲线分析中,男性腰围身高比预测代谢综合征的曲线下面积为0.664,女性为0.673,男性及女性腰围身高比预测代谢综合征的最佳切点值分别为0.543 0(敏感度为88.2%,特异度为44.4%)和0.568 3(敏感度为86.8%,特异度为46.8%).结论 泉州地区人群腰围身高比预测代谢综合征的最佳切点值男性为0.543 0,女性为0.568 3.
目的 研究腰圍身高比與代謝綜閤徵的關繫,尋找腰圍身高比預測代謝綜閤徵的最佳切點.方法 採用橫斷麵調查方法,納入2012年1月至2014年6月在福建醫科大學附屬泉州第一醫院進行體檢的343名人員,體檢項目包括腰圍、身高、體質量、血壓、實驗室檢查(包括空腹血糖、口服葡萄糖耐量試驗2h血糖、三酰甘油、高密度脂蛋白膽固醇)、CT測定腹腔內脂肪麵積.通過受試者工作特徵(ROC)麯線分析得到腰圍身高比預測代謝綜閤徵的最佳切點.結果 343名體檢者中共檢齣195例代謝綜閤徵患者,總患病率為56.8%,其中男性患病率為70.2%(127/181),女性患病率為42.0% (68/162).在ROC麯線分析中,男性腰圍身高比預測代謝綜閤徵的麯線下麵積為0.664,女性為0.673,男性及女性腰圍身高比預測代謝綜閤徵的最佳切點值分彆為0.543 0(敏感度為88.2%,特異度為44.4%)和0.568 3(敏感度為86.8%,特異度為46.8%).結論 泉州地區人群腰圍身高比預測代謝綜閤徵的最佳切點值男性為0.543 0,女性為0.568 3.
목적 연구요위신고비여대사종합정적관계,심조요위신고비예측대사종합정적최가절점.방법 채용횡단면조사방법,납입2012년1월지2014년6월재복건의과대학부속천주제일의원진행체검적343명인원,체검항목포괄요위、신고、체질량、혈압、실험실검사(포괄공복혈당、구복포도당내량시험2h혈당、삼선감유、고밀도지단백담고순)、CT측정복강내지방면적.통과수시자공작특정(ROC)곡선분석득도요위신고비예측대사종합정적최가절점.결과 343명체검자중공검출195례대사종합정환자,총환병솔위56.8%,기중남성환병솔위70.2%(127/181),녀성환병솔위42.0% (68/162).재ROC곡선분석중,남성요위신고비예측대사종합정적곡선하면적위0.664,녀성위0.673,남성급녀성요위신고비예측대사종합정적최가절점치분별위0.543 0(민감도위88.2%,특이도위44.4%)화0.568 3(민감도위86.8%,특이도위46.8%).결론 천주지구인군요위신고비예측대사종합정적최가절점치남성위0.543 0,녀성위0.568 3.
Objective To investigate the relationship between waist-to-height ratio and metabolic syndrome,in order to identify the optimal cut-off point of waist-to-height ratio for predicting metabolic syndrome.Methods In this cross-sectional study,we recruited 343 people who received physical examination in First Hospital of Quanzhou between January 2012 and June 2014,and collected the information of their waist circumference,height,weight,blood pressure,laboratory test results (including fasting blood glucose,2-hour glucose after oral glucose tolerance test,triglyceride,high-density lipoprotein cholesterol) and visceral fat area assessed by computed tomography.Then a receiver operating characteristic (ROC) curve analysis was used to estimate the optimal cut-off points of waist-to-height ratio for the prediction of metabolic syndrome.Results Among the 343 people,there were 195 metabolic syndrome patients,the prevalence rate was 56.8%,which was 70.2% in men (127/181) and 42.0% in women (68/162).In ROC curve analysis,the area under the curve of waist-to-height ratio for the prediction of metabolic syndrome was 0.664 for men,and 0.673 for women.The optimal cut-off point of waist-to-height ratio for predicting metabolic syndrome was 0.543 0 (sensitivity 88.2%,specificity 44.4%) for men,and 0.568 3 (sensitivity 86.8%,specificity 46.8%).Conclusion The optimal cut-off point of waist-to-height ratio for predicting metabolic syndrome in Quanzhou population is 0.543 0 for men and 0.568 3 for women.