Associations of Quantity Smoked and Socioeconomic Status With Smoke-Free Homes and Cars Among Daily Smokers.

Annie Pelekanakis, Jennifer L O'Loughlin, Katerina Maximova, Annie Montreuil, Jodi Kalubi, Erika N Dugas, Marie-Pierre Sylvestre
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引用次数: 2

Abstract

Introduction: An association between socioeconomic status (SES) and smoke-free private spaces among smokers could be due to heavier smoking among low SES smokers. We assessed whether quantity smoked or SES are independently associated with smoke-free homes or cars in daily smokers.

Method: Data were drawn from a cross-sectional telephone survey (2011-2012) of 750 daily smokers age ≥18 years in Quebec, Canada (45% response). Multivariable logistic regression was used to model the independent association between (a) number of cigarettes smoked per day, and (b) each of educational attainment, annual household income, or active employment status and smoke-free homes or cars.

Results: Participants were 41.0 years old on average, 57% were female. Median (IQR) number of cigarettes smoked per day was 14 (10, 20). Forty-eight percent of participants reported smoke-free homes; 34% reported smoke-free cars. Quantity smoked was strongly associated with both smoke-free homes and cars. Income and education (but not actively employed) were associated with smoke-free homes. None of the SES indicators were associated with smoke-free cars.

Conclusions: Interventions targeting smokers to promote smoke-free homes and cars should incorporate components to help smokers reduce quantity smoked or preferably, to quit. Interventions targeting smoke-free homes will also need to address SES inequalities by education and income. Our data suggest that reduction in quantity smoked may help smokers reduce SHS exposure in cars, but that an inequality lens may not be relevant.

每日吸烟者中吸烟数量和社会经济地位与无烟家庭和汽车的关系。
引言:吸烟者的社会经济地位(SES)与无烟私人空间之间的关联可能是由于低SES吸烟者的吸烟量较大。我们评估了每日吸烟者的吸烟量或SES是否与无烟家庭或无烟汽车独立相关。方法:数据来自一项横断面电话调查(2011-2012),调查对象为加拿大魁北克省750名年龄≥18岁的每日吸烟者(45%的回复率)。采用多变量logistic回归对(a)每天吸烟数量和(b)教育程度、家庭年收入或积极就业状况与无烟住房或无烟汽车之间的独立关联进行建模。结果:参与者平均年龄41.0岁,女性占57%。每天吸烟的中位数(IQR)为14(10,20)。48%的参与者报告了无烟家庭;34%的人报告了无烟汽车。吸烟的数量与无烟家庭和无烟汽车密切相关。收入和教育(但不包括积极就业)与无烟家庭有关。没有一项SES指标与无烟汽车有关。结论:针对吸烟者促进无烟家庭和无烟汽车的干预措施应包括帮助吸烟者减少吸烟量或最好戒烟的成分。针对无烟家庭的干预措施还需要通过教育和收入来解决社会经济地位不平等问题。我们的数据表明,减少吸烟量可能有助于吸烟者减少在汽车中接触二手烟,但这种不平等现象可能并不相关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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