南方医科大学学报
南方醫科大學學報
남방의과대학학보
JOURNAL OF SOUTHERN MEDICAL UNIVERSITY
2014年
12期
1794-1798
,共5页
徐新毅%邱素均%安胜利%靳安民%闵少雄
徐新毅%邱素均%安勝利%靳安民%閔少雄
서신의%구소균%안성리%근안민%민소웅
下腰痛%危险因素%病例-对照研究
下腰痛%危險因素%病例-對照研究
하요통%위험인소%병례-대조연구
low back pain%risk factor%case-control study
目的:分析社区人群非特异性下腰痛的危险因素。方法采用病例-对照研究方法,以问卷调查的方式进行评价,项目包括年龄、性别、体质量、婚姻、教育程度、收入、职业、劳动强度、吸烟、饮酒和社会心理等,以人员中出现下腰痛的为病例组,无下腰痛的为对照组。数据用Logistic回归模型进行分析。结果共调查社区人群1747例,398人为病例组,1126人为对照组。下腰痛的危险因素中性别的危险性最高(OR=3.5522),其次是教育程度(OR=1.958)、劳动强度(OR=1.956)、婚姻(OR=1.612)、是否接触振动源(OR=1.491)、BMI(OR=1.127)、年龄(OR=1.060)。结论人群的性别、教育程度、劳动强度、婚姻、接触振动源、BMI为下腰痛发生的常见危险因素,业余运动以及心理状况可能有一定保护作用。
目的:分析社區人群非特異性下腰痛的危險因素。方法採用病例-對照研究方法,以問捲調查的方式進行評價,項目包括年齡、性彆、體質量、婚姻、教育程度、收入、職業、勞動彊度、吸煙、飲酒和社會心理等,以人員中齣現下腰痛的為病例組,無下腰痛的為對照組。數據用Logistic迴歸模型進行分析。結果共調查社區人群1747例,398人為病例組,1126人為對照組。下腰痛的危險因素中性彆的危險性最高(OR=3.5522),其次是教育程度(OR=1.958)、勞動彊度(OR=1.956)、婚姻(OR=1.612)、是否接觸振動源(OR=1.491)、BMI(OR=1.127)、年齡(OR=1.060)。結論人群的性彆、教育程度、勞動彊度、婚姻、接觸振動源、BMI為下腰痛髮生的常見危險因素,業餘運動以及心理狀況可能有一定保護作用。
목적:분석사구인군비특이성하요통적위험인소。방법채용병례-대조연구방법,이문권조사적방식진행평개,항목포괄년령、성별、체질량、혼인、교육정도、수입、직업、노동강도、흡연、음주화사회심리등,이인원중출현하요통적위병례조,무하요통적위대조조。수거용Logistic회귀모형진행분석。결과공조사사구인군1747례,398인위병례조,1126인위대조조。하요통적위험인소중성별적위험성최고(OR=3.5522),기차시교육정도(OR=1.958)、노동강도(OR=1.956)、혼인(OR=1.612)、시부접촉진동원(OR=1.491)、BMI(OR=1.127)、년령(OR=1.060)。결론인군적성별、교육정도、노동강도、혼인、접촉진동원、BMI위하요통발생적상견위험인소,업여운동이급심리상황가능유일정보호작용。
Objective To analyze the risk factors of nonspecific low back pain in community populations. Methods Two community populations were investigated using questionnaires in this case-control study. The questionnaire was designed to collect data including age, gender, body weight, marriage, education, income, occupation, labor intensity, smoking, alcohol drinking and social mental status. The subjects with low back pain constituted the case group and those without low back pain served as the control group, and the data was analyzed by a Logistic regression model. Results A total of 1747 community residents participated in this survey, among whom 398 subjects had low back pain and 1126 subjects without low back pain were selected as the control group. Of all the latent risk factors of low back pain in Logistic regression model, gender was the most relevant factor (OR=3.5522) followed by education (OR=1.958), labor intensity (OR=1.956), marital status (OR=1.612), vibration source exposure (OR=1.491), BMI (OR=1.127) and age (OR=1.060). Conclusion Gender, education, labor intensity, marriage, vibration source exposure and BMI are risk factors of nonspecific low back pain in community populations, and exercises and mental status can be protective factors against low back pain.