Evidence map›Paper›PMID 42887371›Full record

ArticleDrug and alcohol dependence2026

Sociodemographic and intersecting sociodemographic subgroups in relation to US adult tobacco use trajectories over a 10-year period: Analysis of Population Assessment of Tobacco and Health (PATH) data.

Yan Wang, Shriya Thakkar, Katelyn F Romm, Y Tony Yang, Carla J Berg

Abstract read
In one paragraph

Article in Drug and alcohol dependence, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Yan WangDepartment of Prevention and Community Health, Milken Institute School of Public Health, George Washington University, 950 New Hampshire Ave NW, Washington, DC 20052, USA; George Washington Cancer Center, George Washington University, 800 22nd St NW, #7000C, Washington, DC 20052, USA. Electronic address: yanwang20@gwu.edu.
Shriya ThakkarDepartment of Prevention and Community Health, Milken Institute School of Public Health, George Washington University, 950 New Hampshire Ave NW, Washington, DC 20052, USA.
Katelyn F RommTSET Health Promotion Research Center, 655 Research Parkway, Suite 400, Oklahoma City, OK 73104, USA; Department of Pediatrics, College of Medicine, University of Oklahoma Health Sciences, 655 Research Parkway, Suite 400, Oklahoma City, OK 73104, USA. Electronic address: katelyn-romm@ou.edu.
Y Tony YangCenter for Health Policy and Media Engagement, School of Nursing, George Washington University, 1919 Pennsylvania Ave NW #500, Washington, DC 20006, USA. Electronic address: ytyang@gwu.edu.
Carla J BergDepartment of Prevention and Community Health, Milken Institute School of Public Health, George Washington University, 950 New Hampshire Ave NW, Washington, DC 20052, USA; George Washington Cancer Center, George Washington University, 800 22nd St NW, #7000C, Washington, DC 20052, USA. Electronic address: carlaberg@gwu.edu.

Funding

Tobacco use trajectories and related mechanisms among US adults and youth representing minority and intersecting minority identitiesR21CA292195 · NCI · GEORGE WASHINGTON UNIVERSITY · PI Carla J Berg, Yan Wang · 2025 to 2026
$415k
NCI NIH HHS R21 CA292195
6 · The paper itself

Abstract

introductionLimited research has assessed tobacco use trajectories among subpopulations, particularly those representing intersecting minority identities, across adulthood. This study assessed tobacco use trajectories over 10 years among sociodemographic subgroups of US adults.

methodsWe analyzed 7 waves of data (2013-2022) from the Population Assessment of Tobacco and Health (PATH). General growth mixture modeling assessed trajectories of any past-month use of cigarettes, e-cigarettes, cigars, hookah, and smokeless tobacco. Multivariable multinomial logistic regression assessed sociodemographics and sociodemographic interactions in relation to trajectory.

resultsFour trajectories were identified: "consistently low" (68.0% of participants) with low prevalence over time (0.7%-2.7 "consistently high" (21.6%) with 95-99% using at each wave; "medium increasing" (4.5%) which increased from 23% using at W1-60% at W7; and "steep decreasing" (5.9%) which decreased from 88% using at W1-6% at W7. Factors associated with being in the latter 3 trajectories vs. "consistently low" included being younger, male, sexual minority (SM), Black, and less educated. Factors associated with "steep decreasing" or "consistently high" vs. "medium increasing" included being older and White vs. Black; being male, non-Hispanic, and less educated was also associated with "consistently high". Factors associated with "consistently high" vs. "steep decreasing" included being older, non-Hispanic, and less educated. Significant interactions indicated certain intersecting identities (e.g., female and SM, SM and Black, Black/another race and Hispanic) more likely showed the latter 3 trajectories.

conclusionTobacco prevention and intervention efforts must attend to sociodemographic profiles of adults at greatest risk for persistent or escalating tobacco use.

Indexed as

AgeEducationEthnicityGrowth mixture modelingRaceSexSexual orientationTobacco use

Identifiers

PMID42887371
PMCPMC13691646

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