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3373名居民吸烟现况及影响因素调查
引用本文:何晓雨,孙佳英,刘朔,王玲玲,赵明静,王笑歌.3373名居民吸烟现况及影响因素调查[J].中华全科医师杂志,2012,11(3):213-214.
作者姓名:何晓雨  孙佳英  刘朔  王玲玲  赵明静  王笑歌
作者单位:中国医科大学附属第四医院呼吸科, 沈阳,110032
基金项目:国家科技支撑计划课题,中华医学会基金,辽宁省教育厅基金
摘    要:2008年11月至2009年9月,对沈阳市两个区3373名就业者进行吸烟问卷调查及肺功能检测,对可能为影响因素的11个变量采用logistic回归模型进行单因素及多因素分析,并对吸烟所致疾病的认知情况做X2检验。总吸烟率为50.7%(1710/3373),其中男性86.8%(1458/1680),女性14.9%(252/1693)。可能的影响因素排序为:饮酒史、T作环境及多种基础疾病;而女性、大学以上学历、超重及50岁以上为可能的保护因素。调查者中有2478人参与了吸烟导致疾病的认知调查,吸烟815人,不吸烟1663人,两者对于吸烟导致慢性阻塞性肺疾病、哮喘、胎儿畸形、恶性肿瘤、流产、婴幼儿生长受限、死胎及心肌梗死的认知差异有统计学意义。

关 键 词:吸烟  因素分析

Survey on smoking status and risk factors in residents
HE Xiao-yu , SUN Jia-ying , LIU Shuo , WANG Ling-ling , ZHAO Ming-jing , WANG Xiao-ge.Survey on smoking status and risk factors in residents[J].Chinese JOurnal of General Practitioners,2012,11(3):213-214.
Authors:HE Xiao-yu  SUN Jia-ying  LIU Shuo  WANG Ling-ling  ZHAO Ming-jing  WANG Xiao-ge
Institution:.( Department of Respiratory Medicine, the Fourth Affiliated Hospital of China Medical University, Shenyang 110032, China)
Abstract:A survey on smoking status and risk factors was conducted among 3373 residents in two districts of Shen yang city during November 2008 and September 2009; the puhnonary function tests were also performed for all subjects. A logistical regression model was used to evaluate the risk factors of smoking, and the knowledge about diseases caused by smoking was evaluated by cbi-square test. The overall smoking rate was 50. 7 % ( 1710/3373 ) ; 86. 8 % ( 1458/1680 ) for males 9% ( 252/1693 ) for females. The risk factors of smoking ( P 〈 0. 05 ) in order of OR value were as follows : drinking, work environment and underlying diseases ; the protective factors were : female, educational level, overweight ( BMI/〉 24 ) and old age. The survey on knowledge of smoking-related disease was conducted in 2478 residents including 815 smokers and 1663 non-smokers. The awareness levels about whether smoking can cause COPD, asthma, birth defects, malignant tumor, abortion, growth retardation, fetal death and myocardial infarction were significantly different between smokers and non-smokers.
Keywords:Smoking  Factor analysis  statistical
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