Department of Psychiatry and Behavioral Sciences, Medical University of South Carolina (MUSC), Charleston, SC, USA.
Department of Public Health Sciences, MUSC, Charleston, SC, USA; Hollings Cancer Center, MUSC, Charleston, SC, USA.
Prev Med. 2017 Dec;105:319-325. doi: 10.1016/j.ypmed.2017.10.001. Epub 2017 Oct 5.
Tobacco control policies are effective in promoting quit attempts and increase the likelihood that smokers use evidence-based cessation treatments (e.g., nicotine replacement therapies (NRT), non-NRT medications, behavioral treatment, and/or quitlines). However, what is less clear is how these policies might differentially impact different groups of smokers, perhaps in some cases even widening disparities in the use of evidence-based tobacco dependence treatments. This paper examined how different state-level tobacco control policies impact the use of evidence-based cessation treatments by race/ethnicity, gender, socio-economic status (SES), age, and smoking history. Participants included 9110 adult smokers reporting a past-year quit attempt within the 2010-2011 Tobacco Use Supplement to the Current Population Survey. Lasso regression modeling was used to identify a subset of interactions between tobacco policies and individual smoker characteristics that predicted use of evidence-based cessation treatment. Significant interactions were fitted via participant-weighted generalized linear models to determine effect sizes and relations to each cessation treatment outcome. Results highlighted that various state level tobacco control policies differentially impacted the reported use of both prescription and non-prescription stop smoking medications by race/ethnicity, age, and SES. The relationship between state level tobacco control policies and the use of behavioral treatments and quitlines did not differ by smoker characteristics. In sum, tobacco control policies differentially impact the use of FDA approved stop smoking medications across different race/ethnicity, age, and SES groups. Understanding such effects can help to target interventions to ensure equal access to evidence-based tobacco dependence treatments.
烟草控制政策在促进戒烟尝试和增加吸烟者使用基于证据的戒烟治疗(如尼古丁替代疗法(NRT)、非 NRT 药物、行为治疗和/或戒烟热线)的可能性方面非常有效。然而,不太清楚的是这些政策如何可能对不同的吸烟者群体产生不同的影响,在某些情况下,甚至可能扩大基于证据的烟草依赖治疗的使用差距。本文研究了不同的州级烟草控制政策如何影响不同种族/族裔、性别、社会经济地位(SES)、年龄和吸烟史的吸烟者使用基于证据的戒烟治疗的情况。参与者包括 9110 名在 2010-2011 年烟草使用补充调查中报告过去一年戒烟尝试的成年吸烟者。使用套索回归模型确定了烟草政策与个体吸烟者特征之间相互作用的子集,这些相互作用预测了基于证据的戒烟治疗的使用。通过参与者加权广义线性模型拟合显著的相互作用,以确定效应大小和与每种戒烟治疗结果的关系。结果突出表明,各种州级烟草控制政策对处方和非处方戒烟药物的使用因种族/族裔、年龄和 SES 而异。州级烟草控制政策与行为治疗和戒烟热线使用之间的关系不因吸烟者特征而异。总之,烟草控制政策在不同的种族/族裔、年龄和 SES 群体中对 FDA 批准的戒烟药物的使用产生了不同的影响。了解这些影响有助于针对干预措施,确保公平获得基于证据的烟草依赖治疗。