Disparities in cigarette, e-cigarette, cigar, and smokeless tobacco use at the intersection of multiple social identities in the U.S. adult population. Results from the TUS-CPS 2018-2019 survey.

<bold>Introduction: </bold>Sociodemographic disparities in tobacco use are prevalent and persistent in the US. Nevertheless, few studies have examined disparities in tobacco use from an intersectionality perspective. We developed a visualization tool to identify disparities in cigarette, e-cigarette, cigar, and smokeless tobacco use at the intersection of multiple social identities.<bold>Methods: </bold>We used the 2018-2019 Tobacco Use Supplement to the Current Population Survey (TUS-CPS) to estimate the prevalence of tobacco product use at the intersection of age (18-34, 35-54, 55+ years), sex (male, female), race/ethnicity (Non-Hispanic [NH] White, NH Black, Hispanic, NH Other), and annual household income (<$50,000, $50,000-$99,999, ≥$100,000). Estimates accounted for the complex survey design.<bold>Results: </bold>For cigarettes, the most defining characteristic was income, with the highest prevalence among low-income NH White male adults aged 35-54 years (30.7%) and low-income NH White female adults aged 35-54 years (29.7%). For e-cigarettes, the most defining characteristic was age, with adults 18-34 years old having the highest prevalence. High prevalence groups for cigars included young- and middle-aged NH Black and NH White males, while NH White males had the highest prevalence of smokeless tobacco use.<bold>Conclusions: </bold>Our intersectionality visualization tool is helpful to uncover complex patterns of tobacco use, facilitating the identification of high-risk groups.<bold>Implications: </bold>We created a visualization tool to identify disparities in cigarette, e-cigarette, cigar, and smokeless tobacco use at the intersection of age, sex, race/ethnicity, and income. Our visualization tool helps uncover complex patterns of tobacco use, facilitating the identification of high-risk population groups that would otherwise be masked. These results can be used to implement tobacco control policies targeted at factors that promote or sustain tobacco use disparities. [ABSTRACT FROM AUTHOR]