中华全科医师杂志
中華全科醫師雜誌
중화전과의사잡지
CHINESE JOURNAL OF GENERAL PRACTITIONERS
2011年
1期
21-26
,共6页
娄培安%陈培培%余加席%张雷%张宁%张盼
婁培安%陳培培%餘加席%張雷%張寧%張盼
루배안%진배배%여가석%장뢰%장저%장반
血压%危险因素%疾病影响状态调查
血壓%危險因素%疾病影響狀態調查
혈압%위험인소%질병영향상태조사
Blood pressure%Risk factors%Sickness impact profile
目的 了解居民正常高值血压的危险因素.方法 于2008年6月至12月,采取整群抽样的方法抽取徐州市4个县区17 500人,利用自行设计的调查表收集被调查人群个人基本情况,并测量其身高、体重、血压,对相关因素进行单因素和多因素非条件logistic回归分析.结果 17 306人完成了调查,总应答率为98.9%.单因素分析显示,地区、性别、年龄、职业、家庭人均年收入、高脂血症史、吸烟、饮酒、吃猪肉、蔬菜摄入量、每天睡眠时间、体重指数、腹型肥胖等13个因素与正常高值血压相关(P<0.05);多因素逐步回归分析显示,地区、性别、年龄、家庭人均年收入、饮酒史、蔬菜摄入量、体重指数、腹部肥胖与正常高值血压相关(P<0.05).结论 年龄增大、饮酒史、体质指数大、腹部肥胖是正常高值血压的危险因素,蔬菜摄入量大是正常高值血压的保护性因素.
目的 瞭解居民正常高值血壓的危險因素.方法 于2008年6月至12月,採取整群抽樣的方法抽取徐州市4箇縣區17 500人,利用自行設計的調查錶收集被調查人群箇人基本情況,併測量其身高、體重、血壓,對相關因素進行單因素和多因素非條件logistic迴歸分析.結果 17 306人完成瞭調查,總應答率為98.9%.單因素分析顯示,地區、性彆、年齡、職業、傢庭人均年收入、高脂血癥史、吸煙、飲酒、喫豬肉、蔬菜攝入量、每天睡眠時間、體重指數、腹型肥胖等13箇因素與正常高值血壓相關(P<0.05);多因素逐步迴歸分析顯示,地區、性彆、年齡、傢庭人均年收入、飲酒史、蔬菜攝入量、體重指數、腹部肥胖與正常高值血壓相關(P<0.05).結論 年齡增大、飲酒史、體質指數大、腹部肥胖是正常高值血壓的危險因素,蔬菜攝入量大是正常高值血壓的保護性因素.
목적 료해거민정상고치혈압적위험인소.방법 우2008년6월지12월,채취정군추양적방법추취서주시4개현구17 500인,이용자행설계적조사표수집피조사인군개인기본정황,병측량기신고、체중、혈압,대상관인소진행단인소화다인소비조건logistic회귀분석.결과 17 306인완성료조사,총응답솔위98.9%.단인소분석현시,지구、성별、년령、직업、가정인균년수입、고지혈증사、흡연、음주、흘저육、소채섭입량、매천수면시간、체중지수、복형비반등13개인소여정상고치혈압상관(P<0.05);다인소축보회귀분석현시,지구、성별、년령、가정인균년수입、음주사、소채섭입량、체중지수、복부비반여정상고치혈압상관(P<0.05).결론 년령증대、음주사、체질지수대、복부비반시정상고치혈압적위험인소,소채섭입량대시정상고치혈압적보호성인소.
Objective To study risk factors for high-normal blood pressure (HNBP) in residents of urban Xuzhou, Jiangsu province, China. Methods A cross-sectional survey was conducted among 17 500 residents in urban area of Xuzhou from June to December 2008 by cluster sampling with self-designed questionnaire to collect their demographic information and measurements of body height, weight and blood pressure. Data were approached to univariate and multivariate non-conditional logistic regression analysis. Results In total, 17 306 residents finished the survey, with an overall response rate of 98.9percent. Results of univariate analysis revealed that 13 variables such as living region, sex, age,occupation, annual average family income, history of dyslipidemia, smoking, alcohol drinking, intake of pork, and vegetables, daily length of sleeping, body mass index (BMI), abdominal obesity, all were related to HNBP ( P < 0. 05 ). Results of multivariate logistic regression analysis showed that living region, sex,age, annual average family income, alcohol drinking, intake of vegetable, BMI, abdominal obesity all associated with HNBP (P<0. 05). Conclusions Older age, history of alcohol drinking, increased BMI,abdominal obesity all are risk factors to prompt occurrence of HNBP, and intake of large amount of vegetables is its protective factor.