Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA.
Department of Sociology, University of California-Riverside, Riverside, CA 92521, USA.
Int J Environ Res Public Health. 2019 Sep 2;16(17):3200. doi: 10.3390/ijerph16173200.
(1) Background: Smoking restrictions have been shown to be associated with reduced smoking, but there are a number of gaps in the literature surrounding the relationship between smoke-free policies and cessation, including the extent to which this association may be modified by sociodemographic characteristics. (2) Methods: We analyzed data from the Tobacco Use Supplement to the Current Population Survey, 2003-2015, to explore whether multiple measures of smoking restrictions were associated with cessation across population subgroups. We examined area-based measures of exposure to smoke-free laws, as well as self-reported exposure to workplace smoke-free policies. We used age-stratified, fixed effects logistic regression models to assess the impact of each smoke-free measure on 90-day cessation. Effect modification by gender, education, family income, and race/ethnicity was examined using interaction terms. (3) Results: Coverage by workplace smoke-free laws and self-reported workplace smoke-free policies was associated with higher odds of cessation among respondents ages 40-54. Family income modified the association between smoke-free workplace laws and cessation for women ages 25-39 (the change in the probability of cessation associated with coverage was most pronounced among lower-income women). (4) Conclusions: Heterogeneous associations between policies and cessation suggest that smoke-free policies may have important implications for health equity.
(1) 背景:吸烟限制已被证明与吸烟减少有关,但在无烟政策与戒烟之间的关系方面,文献中存在许多空白,包括这种关联可能因社会人口特征而发生变化的程度。(2) 方法:我们分析了 2003-2015 年“当前人口调查的烟草使用补充调查”的数据,以探讨多种吸烟限制措施是否与人群亚组的戒烟有关。我们考察了暴露于无烟法律的基于区域的措施,以及自我报告的工作场所无烟政策的暴露。我们使用年龄分层固定效应逻辑回归模型来评估每个无烟措施对 90 天戒烟的影响。使用交互项来检验性别、教育、家庭收入和种族/民族的作用修饰。(3) 结果:工作场所无烟法律和自我报告的工作场所无烟政策的覆盖率与 40-54 岁受访者的戒烟几率较高有关。家庭收入修改了无烟工作场所法律与 25-39 岁女性戒烟之间的关联(与覆盖率相关的戒烟概率的变化在低收入女性中最为明显)。(4) 结论:政策与戒烟之间的异质关联表明,无烟政策可能对健康公平产生重要影响。