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
2期
78-80
,共3页
陈培培%娄培安%余加席%张雷%张宁%林敬德
陳培培%婁培安%餘加席%張雷%張寧%林敬德
진배배%루배안%여가석%장뢰%장저%림경덕
糖尿病%危险因素%回归分析
糖尿病%危險因素%迴歸分析
당뇨병%위험인소%회귀분석
Diabetes mellitus%Risk factors%Regression analysis
目的 探讨徐州市人群糖尿病发生的危险因素.方法 采取多阶段随机整群抽样的方法 ,选择具有代表性的样本,共调查15岁以上常驻居民24369名,利用自行设计的调查表收集被调查人群个人基本情况,测量身高、体重、血压、空腹血糖,采用单因素和多因素非条件Logistic回归分析方法 处理资料.结果 单因素分析显示,地区、年龄、文化程度、职业、经济收入、高血压病、冠心病、脑卒中史、高血压家族史、冠心病家族史、脑卒中家族史、糖尿病家族史、吸烟史、睡眠质量、体重指数、腹部肥胖、腰臀比可能与糖尿病有关(P<0.05):多因素逐步回归分析显示,年龄、高血压病史、糖尿病家族史、睡眠质量差、体重指数大、腹部肥胖、腰臀比大是糖尿病的危险因素(χ~2分别为179.610、4.957、32.721、14.630、7.624、4.432、4.387,P均<0.05).结论 开展糖尿病相关知识宣传,提高国民健康意识的同时,应重点教育居民改变不良生活方式,有针对性的开展超重、腹型肥胖、有高血压病史、糖尿病家族史等高危人群的筛查及干预工作,从而有效的控制或降低人群的行为危险因素,降低糖尿病的发病率.
目的 探討徐州市人群糖尿病髮生的危險因素.方法 採取多階段隨機整群抽樣的方法 ,選擇具有代錶性的樣本,共調查15歲以上常駐居民24369名,利用自行設計的調查錶收集被調查人群箇人基本情況,測量身高、體重、血壓、空腹血糖,採用單因素和多因素非條件Logistic迴歸分析方法 處理資料.結果 單因素分析顯示,地區、年齡、文化程度、職業、經濟收入、高血壓病、冠心病、腦卒中史、高血壓傢族史、冠心病傢族史、腦卒中傢族史、糖尿病傢族史、吸煙史、睡眠質量、體重指數、腹部肥胖、腰臀比可能與糖尿病有關(P<0.05):多因素逐步迴歸分析顯示,年齡、高血壓病史、糖尿病傢族史、睡眠質量差、體重指數大、腹部肥胖、腰臀比大是糖尿病的危險因素(χ~2分彆為179.610、4.957、32.721、14.630、7.624、4.432、4.387,P均<0.05).結論 開展糖尿病相關知識宣傳,提高國民健康意識的同時,應重點教育居民改變不良生活方式,有針對性的開展超重、腹型肥胖、有高血壓病史、糖尿病傢族史等高危人群的篩查及榦預工作,從而有效的控製或降低人群的行為危險因素,降低糖尿病的髮病率.
목적 탐토서주시인군당뇨병발생적위험인소.방법 채취다계단수궤정군추양적방법 ,선택구유대표성적양본,공조사15세이상상주거민24369명,이용자행설계적조사표수집피조사인군개인기본정황,측량신고、체중、혈압、공복혈당,채용단인소화다인소비조건Logistic회귀분석방법 처리자료.결과 단인소분석현시,지구、년령、문화정도、직업、경제수입、고혈압병、관심병、뇌졸중사、고혈압가족사、관심병가족사、뇌졸중가족사、당뇨병가족사、흡연사、수면질량、체중지수、복부비반、요둔비가능여당뇨병유관(P<0.05):다인소축보회귀분석현시,년령、고혈압병사、당뇨병가족사、수면질량차、체중지수대、복부비반、요둔비대시당뇨병적위험인소(χ~2분별위179.610、4.957、32.721、14.630、7.624、4.432、4.387,P균<0.05).결론 개전당뇨병상관지식선전,제고국민건강의식적동시,응중점교육거민개변불량생활방식,유침대성적개전초중、복형비반、유고혈압병사、당뇨병가족사등고위인군적사사급간예공작,종이유효적공제혹강저인군적행위위험인소,강저당뇨병적발병솔.
Objective To study the risk factors of diabetes mellitus in Xuzhou city.Methods A survey study was conducted by using multi-stage random cluster sampling, total of 24 369 residents aged ≥15 were selected.A self-designed questionnaire was used, and height, body weight, blood pressure, and fasting blood glucose were measured.Single factor and multivariate non-conditional Logistic regression analysis were used for data analysis.Results In single factor analysis, living region, age, educational level, occupation, marriage status, income, hypertension, coronary heart disease, stroke, family history of diseases (including hypertension, coronary heart disease, stroke, diabetes ) , current smoking, sleep quality, occupational labor intensity,body mass index,abdominal obesity,and waist-hip ratio were related to diabetes (all P<0.05).Results from the multivariable stepwise analysis showed that age, hypertension, family history of diabetes, sleep quality,body mass index,abdominal obesity,and waist-hip ratio were risk factors of diabetes mellitus (Chi -square values were 179.610,4.957,32.721,14.630,7.624,4.432, and 4.387, respectively; all P < 0.05).Conclusion Diabetes mellitus screening and behavioral intervention should be used in high-risk populations to effectively control or reduce the incidence of diabetes.