Exploring the Potential for Smoke-Free Laws to Reduce Smoking Disparities by Sexual Orientation in the USA

被引:0
|
作者
Titus, Andrea R. [1 ]
Gamarel, Kristi E. [2 ]
Thrasher, James F. [3 ,4 ]
Elliott, Michael R. [5 ,6 ]
Fleischer, Nancy L. [1 ]
机构
[1] Univ Michigan, Epidemiol, Sch Publ Hlth, Ann Arbor, MI 48109 USA
[2] Univ Michigan, Hlth Behav & Hlth Educ, Sch Publ Hlth, Ann Arbor, MI USA
[3] Univ South Carolina, Hlth Promot Educ & Behav, Arnold Sch Publ Hlth, Columbia, SC USA
[4] Natl Inst Publ Hlth, Ctr Populat Hlth Res, Tobacco Res, Cuernavaca, Morelos, Mexico
[5] Univ Michigan, Biostat, Sch Publ Hlth, Ann Arbor, MI USA
[6] Univ Michigan, Survey Res Ctr, Inst Social Res, Ann Arbor, MI USA
基金
美国国家卫生研究院;
关键词
Tobacco; Sexual and gender minorities; Cigarette smoking; Policy; Health disparities; CIGARETTE-SMOKING; TOBACCO USE; MINORITY; GENDER; POLICIES; HEALTH; IMPACT; BARS; GAY;
D O I
10.1007/s12529-022-10099-1
中图分类号
B849 [应用心理学];
学科分类号
040203 ;
摘要
Background We examined associations between smoke-free laws and smoking outcomes in a nationally representative sample of US adults, including exploring whether these associations differed for heterosexual and sexual minority (SM) adults. Methods We constructed county-level variables representing the percent of the population covered by state-, county-, or city-level smoke-free laws in workplaces and hospitality venues. We combined this information with restricted individual-level adult data with masked county identifiers from the National Health Interview Survey (NHIS), 2013-2018. We used modified Poisson regression to explore associations between each type of smoke-free law and the prevalence ratio (PR) of current smoking, and we used linear regression to explore associations with smoking intensity (mean cigarettes per day). We assessed interactions between smoke-free laws and SM status on the additive scale to determine whether associations were different for SM and heterosexual adults. Results In adjusted models without interaction terms, smoke-free laws in hospitality venues were associated with lower prevalence of current smoking (PR = 0.93, 95% confidence interval (CI) = 0.89, 0.98). Both types of smoke-free laws were associated with lower mean cigarettes per day (workplace law change in mean = - 0.50, 95% CI = - 0.89, - 0.12; hospitality law change in mean = - 0.72, 95% CI = - 1.14,-0.30). We did not observe any statistically significant interactions by SM status, though statistical power was limited. Conclusions We did not find evidence that smoke-free laws were differentially associated with smoking outcomes for heterosexual and SM adults. Additional studies are needed to further explore the potential for tobacco control policies to address the elevated risk of smoking in SM communities.
引用
收藏
页码:448 / 454
页数:7
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