摘要
目的 探究中国核心家庭中的成人现在吸烟者家庭健康功能、抑郁状况与烟草依赖的关系。方法 以核心家庭中≥18岁的现在吸烟者为研究对象,调查人口学、家庭健康功能、抑郁水平及烟草依赖状况。采用二分类logistic回归分析模型分析烟草依赖的影响因素,采用结构方程模型分析家庭健康功能、抑郁状况与烟草依赖的关系。结果 纳入的707例现在吸烟者,以轻度烟草依赖为主640例,占90.5%,重度烟草依赖者67例,占9.5%。logistic回归分析模型分析显示,已婚、第1次吸烟年龄<18岁、过去12个月每天饮酒、抑郁水平高、缺乏家庭外部社会支持与重度烟草依赖存在关联(均有P<0.05)。结构方程模型显示,家庭健康资源可能通过影响抑郁水平间接影响烟草依赖状况(β=-0.246,P<0.001)。结论 家庭健康功能既与烟草依赖直接相关,也可能通过抑郁水平间接影响烟草依赖状况。
Objective To explore the relationships between family health, depression, and nicotine dependence in adult smokers in China. Methods Smokers in nuclear families aged over 18 years were selected to explore demographic characteristics, family health, depression level, and nicotine dependence status. The binary logistic regression was performed to analyze the influencing factors of nicotine dependence. And the relationships between family health, depression, and nicotine dependence were analyzed by binary logistic regression and structural equation modeling. Results A total of 707 smokers were collected. And 640(90.5%) smokers were had mild nicotine dependence, while 67(9.5%) were with severe nicotine dependence. Logistic regression showed that being married, starting smoking at a young age(under 18 years), daily drinking, depression, poor family external social support were all associated with severe nicotine dependence(all P<0.05). Structural equation model showed that family health resources could indirectly influence nicotine dependence by affecting depression(β=-0.246, P<0.001). Conclusion Family health was directly related to nicotine dependence and may also indirectly influence it through depression level.
作者
闵鹤葳
吴一波
孙昕霙
MIN He-wei;WU Yi-bo;SUN Xin-ying(Department of Social Medicine and Health Education,School of Public Health,Peking University,Beijing 100191,China;Key Research Base of Philosophy and Social Sciences-Health Culture Research Center,Shaanxi 712046,China)
出处
《中华疾病控制杂志》
CAS
CSCD
北大核心
2023年第3期294-299,共6页
Chinese Journal of Disease Control & Prevention
基金
2022年陕西省社会科学基金年度项目(2020M090)。
关键词
烟草依赖
家庭健康功能
抑郁
Tabacco dependence
Family health fuction
Depression