Are sexual minority adults differentially exposed to smoke-free laws and televised anti-tobacco media campaigns compared to the general US population? A descriptive analysis.
Are sexual minority adults differentially exposed to smoke-free laws and televised anti-tobacco media campaigns compared to the general US population? A descriptive analysis.
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DOI：
10.1136/tobaccocontrol-2020-055893
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发表时间：
2021-12
期刊：
影响因子：
5.2
通讯作者：
Fleischer NL
中科院分区：
文献类型：
--
作者：
Titus AR;Gamarel KE;Thrasher JF;Emery SL;Elliott MR;Fleischer NL
Sexual minority (gay, lesbian, and bisexual) adults are at higher risk of smoking compared to heterosexual individuals, yet little is known about how the tobacco control policy landscape interacts with sexual orientation smoking disparities. We conducted a descriptive analysis to explore differential exposure to smoke-free laws and televised anti-tobacco media using two sources of national data: Census data on same-sex couple households/all households and data on sexual minority adults/all adults from the National Health Interview Survey (NHIS). We combined this information with variables representing the proportion of individuals in each county covered by smoke-free laws (2013–2017), and average county-level exposure to televised anti-tobacco media campaigns (2013–2015). We compared average coverage levels for sexual minority populations to average coverage levels for the broader U.S. population. Between 2013 and 2017, same-sex couple households/sexual minority adults lived in counties with higher levels of smoke-free law coverage compared to all U.S. households/adults for workplaces (Census: 71.3% v. 68.0%; NHIS: 70.7% v. 67.9%) and hospitality venues (Census: 82.3% v. 77.0%; NHIS: 80.5% v. 77.2%). There were no consistent differences in exposures to anti-tobacco media campaigns across datasets. Sexual minority adults may be more likely to live in areas with smoke-free laws, compared to the general population. Findings point to the need to examine other potential drivers of smoking in sexual minority populations.
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