中华内科杂志
中華內科雜誌
중화내과잡지
CHINESE JOURNAL OF INTERNAL MEDICINE
2012年
9期
683-686
,共4页
井源%董砚虎%韩婷%张磊%王娜%朱娅梅%徐美华
井源%董硯虎%韓婷%張磊%王娜%硃婭梅%徐美華
정원%동연호%한정%장뢰%왕나%주아매%서미화
糖尿病%高血压%脂代谢障碍%腰围身高比值
糖尿病%高血壓%脂代謝障礙%腰圍身高比值
당뇨병%고혈압%지대사장애%요위신고비치
Diabetes mellitus%Hypertension%Lipid metabolism disorders%Waist to stature ratio
目的 探讨和评价青岛地区人群腰围身高比值(WSR)与高血压、糖尿病、脂代谢异常等心血管疾病危险因素的关系.方法 选取青岛地区糖尿病流行病学调查数据库中资料完整的汉族成年人共30 712例,分析BMI、腰围、WSR、腰臀比(WHR)和臀围与血糖、血压、血脂的相关关系；ROC曲线分析比较5个指标对糖尿病、高血压和脂代谢异常的预测价值并判断最佳切点；多因素logistic逐步回归分析比较5个指标对高血压、糖尿病、脂代谢异常风险的预测价值.结果 (1)各人体测量学指标均与血压、血糖、血脂密切相关,并无性别差异(P ＜0.001)；(2)WSR的AUCRoc最大,最佳切点是0.52；(3)多因素调整后,WSR≥0.52的糖尿病、高血压、脂代谢异常的OR值最大.结论(1)青岛地区人群中,人体测量学指标与血压、糖脂代谢关系密切,可作为预测、评估人群患病风险的简易指标；(2)WSR是该地区人群评价心血管风险最佳的人体测量学指标,预测多重心血管危险因素聚集的最佳切点为0.52.
目的 探討和評價青島地區人群腰圍身高比值(WSR)與高血壓、糖尿病、脂代謝異常等心血管疾病危險因素的關繫.方法 選取青島地區糖尿病流行病學調查數據庫中資料完整的漢族成年人共30 712例,分析BMI、腰圍、WSR、腰臀比(WHR)和臀圍與血糖、血壓、血脂的相關關繫；ROC麯線分析比較5箇指標對糖尿病、高血壓和脂代謝異常的預測價值併判斷最佳切點；多因素logistic逐步迴歸分析比較5箇指標對高血壓、糖尿病、脂代謝異常風險的預測價值.結果 (1)各人體測量學指標均與血壓、血糖、血脂密切相關,併無性彆差異(P ＜0.001)；(2)WSR的AUCRoc最大,最佳切點是0.52；(3)多因素調整後,WSR≥0.52的糖尿病、高血壓、脂代謝異常的OR值最大.結論(1)青島地區人群中,人體測量學指標與血壓、糖脂代謝關繫密切,可作為預測、評估人群患病風險的簡易指標；(2)WSR是該地區人群評價心血管風險最佳的人體測量學指標,預測多重心血管危險因素聚集的最佳切點為0.52.
목적 탐토화평개청도지구인군요위신고비치(WSR)여고혈압、당뇨병、지대사이상등심혈관질병위험인소적관계.방법 선취청도지구당뇨병류행병학조사수거고중자료완정적한족성년인공30 712례,분석BMI、요위、WSR、요둔비(WHR)화둔위여혈당、혈압、혈지적상관관계；ROC곡선분석비교5개지표대당뇨병、고혈압화지대사이상적예측개치병판단최가절점；다인소logistic축보회귀분석비교5개지표대고혈압、당뇨병、지대사이상풍험적예측개치.결과 (1)각인체측량학지표균여혈압、혈당、혈지밀절상관,병무성별차이(P ＜0.001)；(2)WSR적AUCRoc최대,최가절점시0.52；(3)다인소조정후,WSR≥0.52적당뇨병、고혈압、지대사이상적OR치최대.결론(1)청도지구인군중,인체측량학지표여혈압、당지대사관계밀절,가작위예측、평고인군환병풍험적간역지표；(2)WSR시해지구인군평개심혈관풍험최가적인체측량학지표,예측다중심혈관위험인소취집적최가절점위0.52.
Objective To evaluate the relationship between waist to stature ratio (WSR) and hypertension,diabetes,dyslipidemia in Qingdao. Methods Data were collected from a 2001 - 2007 Qingdao area diabetes survey,population-based cross-sectional study,and 30 712 Chinese adults aged ＞ 18 years old were enrolled.Correlation analysis of BMI,WSR,hip circumference,waist circumference,waist to hip ratio (WHR) with blood glucose,blood pressure,blood lipid were conducted.ROC curve analysis in diabetes,bypertension,dyslipidemia and multivariate logistic regression analysis were also conducted.Results Anthropometric indicators were related with hypertension,diabetes and dyslipidemia in both men and women.Comparing with other anthropometric indicators,WSR was found to have the largest area under the ROC curve and the best cut-off point of WSR was 0.52.Multivariate logistic regression analysis showed that, after controlling age, disease history, physical activity, sex, the diabetes hypertension and dyslipidemia risk OR of WSR≥0.52 were largest.Conclusions Anthropometric indicators intimately related with cardiovascular risk factors in Qingdao region,and may predict and evaluate the risk of cardiovascular disease.WSR may be the best index for predicting cardiovascular risk factors in Qingdao area.The optimal WSR cut off point for identifying cardiovascular risk factors clustering is 0.52.
