Socio-demographic predictors of quitting smoking: how important are household factors?

Socio-demographic predictors of quitting smoking: how important are household factors?
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DOI:
10.1111/j.1360-0443.2004.00756.x
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发表时间:
2004-06-01
期刊:
影响因子:
6
通讯作者:
Bartley, M
Bartley, M
中科院分区:
医学1区
文献类型:
--
作者:
Chandola, T;Head, J;Bartley, M

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旨在利用适当的模型,考虑吸烟行为在家庭和地区层面的聚集性,比较英国成年吸烟者队列中不同的戒烟社会人口学预测因素。设计了一项从1991年到2000年的纵向人口代表性英国成年人调查(英国家庭小组调查,BHPS)。在第一波受访者中,约有30%的人表示吸烟。在这些人中,21%的人在10年内戒烟。戒烟者被定义为吸烟者,他们随后将自己描述为至少连续两波(年)的非吸烟者。依赖程度是用目前每天吸烟的数量来衡量的。发现依赖程度是戒烟的最强预测因素,其次是职业社会阶层、社会支持、婚姻状况和家庭中吸烟者的比例。有一些证据表明家庭内的戒烟行为是集群性的--同一家庭的成员有相似的戒烟行为。家庭一级的这种集聚似乎是由与家庭一级有关的机制来解释的。结论除减少烟瘾外,旨在鼓励吸烟者戒烟的政策可能需要考虑与家庭支持和就业关系有关的因素,以鼓励来自所有社会人口群体的吸烟者戒烟。
Aims To compare different socio-demographic predictors of quitting smoking in a cohort representative of adult smokers in the British population using appropriate models that take into account the clustering of smoking behaviours at the household and area levels.Design A longitudinal, population representative survey of British adults (the British Household Panel Survey, BHPS) from 1991 to 2000.Setting and participants At wave 1 of the BHPS, 10264 adults living in 5511 households were interviewed. Around 30% of the wave 1 respondents reported smoking cigarettes. Of these, 21% had quit smoking over a 10-year period.Measurements 'Quitters' (quitting smoking) were defined as smokers who had subsequently described themselves as non-smokers for at least 2 consecutive waves (years) of the BHPS. Degree of dependence was indexed using the number of cigarettes currently smoked per day.Findings Degree of dependence was the strongest predictor of quitting smoking, followed by occupational social class, social support, marital status and the proportion of smokers in the household. There was some evidence of clustering of quitting smoking behaviour within households-members of the same household had similar quitting smoking behaviours. This clustering at the household level appeared to be explained by mechanisms related to the household level. However, there was little evidence for clustering of smoking behaviour within areas.Conclusions In addition to reducing addiction to cigarettes, policies designed to encourage smokers to quit may need to take into account factors related to household support and employment relations, in order to encourage smokers from all socio-demographic groups to quit.