Dataset Information

Co-occurring vulnerabilities and menthol use in U.S. young adult cigarette smokers: Findings from Wave 1 of the PATH Study, 2013-2014.

ABSTRACT: This study incorporates intersectionality theory to address potential effects of age on other documented risk factors for current smoking and menthol cigarette use in young adults aged 18-34 using Wave 1 of the Population Assessment of Tobacco and Health (PATH) Study (2013-2014). We explored known correlates of current cigarette and menthol cigarette smoking and interaction analyses by age group (18-24 vs. 25-34), accounting for survey weighting. Use of non-cigarette tobacco products and e-cigarettes was characterized among current cigarette smokers. Young adults experience multiple vulnerabilities to smoking beyond age and some of these known risk factors for smoking place those aged 18-24 at different risk of cigarette smoking compared to their 25-34?year old counterparts. These include lower odds of cigarette smoking by age for sex (female; AOR?=?0.62 in those aged 18-24 vs. 0.72 in those aged 25-34) and Hispanic ethnicity (vs. White; AOR?=?0.77 vs. 0.45), and higher odds of smoking among past 30-day alcohol users aged 18-24 vs. 25-34 (AOR?=?1.62 vs. 1.32). Correlations between lower education and smoking were nearly two-fold higher in 25-34 than 18-24?year olds. Having any medical comorbidity had opposite effects on current smoking by age (18-24 positive correlation, AOR?=?1.17; 25-34 negative correlation, AOR?=?0.84). Lower education was correlated with menthol cigarette use among young adult smokers. This study suggests that higher smoking prevalence among young adults is associated with the intersection of multiple vulnerabilities to smoking.

SUBMITTER: Villanti AC

PROVIDER: S-EPMC6397770 | biostudies-literature | 2018 Dec

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Co-occurring vulnerabilities and menthol use in U.S. young adult cigarette smokers: Findings from Wave 1 of the PATH Study, 2013-2014.

Villanti Andrea C AC Gaalema Diann E DE Tidey Jennifer W JW Kurti Allison N AN Sigmon Stacey C SC Higgins Stephen T ST

Preventive medicine 20180608

This study incorporates intersectionality theory to address potential effects of age on other documented risk factors for current smoking and menthol cigarette use in young adults aged 18-34 using Wave 1 of the Population Assessment of Tobacco and Health (PATH) Study (2013-2014). We explored known correlates of current cigarette and menthol cigarette smoking and interaction analyses by age group (18-24 vs. 25-34), accounting for survey weighting. Use of non-cigarette tobacco products and e-cigar ...[more]

PMID: 29890187

Similar Datasets

Project description:IntroductionTo study the association between health care utilization and menthol cigarette use and whether the association differed between African American (AA) and non-AA smokers.MethodsWe analyzed the three most recent 2005, 2010, and 2015 National Health Interview Survey Cancer Control Supplements. After incorporating propensity score weights adjusting for observed differences between menthol and non-menthol users, we estimated Zero-Inflated Poisson models on hospital nights, emergency department visits, doctor visits, and home visits as a function of menthol use status and other covariates separately for current cigarette smokers and recent quitters (former smokers quitting cigarette smoking ≤ 4 years).ResultsAlthough current menthol smokers smoked fewer cigarettes per day than current non-menthol smokers, they did not differ from current non-menthol smokers in health care utilization. Among recent quitters, those who used to smoke menthol cigarettes had higher odds of having hospital nights than those who used to smoke non-menthol cigarettes. However, we did not find any significant association between menthol use and other health care utilization-emergency department visits, doctor visits, and home visits-among recent quitters. Moreover, compared with non-AA recent quitters, AA recent quitters had higher odds of having home visits, but fewer home visits, if they used to smoke menthol cigarettes.ConclusionMenthol use was associated with greater hospitalization among recent quitters, and the association between home visits and menthol use differed between AA and non-AA recent quitters.ImplicationsThis is the first study that used econometric models to study the association between health care utilization and menthol cigarette use and examine whether the association differed between AA and non-AA smokers. Our study found health care utilization did not differ by menthol use status for current smokers, although current menthol smokers smoked fewer cigarettes per day than current non-menthol smokers. However, we found menthol use was associated with higher odds of having hospital nights for recent quitters. We also found AA recent quitters had a different association between home visits and menthol use compared with non-AA recent quitters.

Project description:BackgroundPolycyclic aromatic hydrocarbons (PAHs) are environmental pollutants formed from incomplete combustion of organic matter; some PAHs are carcinogens. Smoking, diet, and other activities contribute to exposure to PAHs. Exposure data to PAHs among combustible tobacco product users (e.g. cigarette smokers) exist; however, among non-combustible tobacco products users (e.g., e-cigarette users), such data are rather limited.ObjectivesWe sought to evaluate exposure to PAHs among participants in Wave 1 (2013-2014) of the Population Assessment of Tobacco and Health (PATH) Study based on the type of tobacco product (combustible vs non-combustible), and frequency and intensity of product use.MethodsWe quantified seven PAH urinary biomarkers in 11,519 PATH Study participants. From self-reported information, we categorized 8327 participants based on their use of tobacco products as never-tobacco user (never user, n = 1700), exclusive current established combustible products user (combustible products user, n = 5767), and exclusive current established non-combustible products user (non-combustible products user, n = 860). We further classified tobacco users as exclusive cigarette user (cigarette user, n = 3964), exclusive smokeless product user (SLT user, n = 509), and exclusive e-cigarette user (e-cigarette user, n = 280). Last, we categorized frequency of product use (everyday vs some days) and time since use (last hour, within 3 days, over 3 days). We calculated geometric mean (GM) concentrations, and evaluated associations between tobacco product user categories and PAH biomarkers concentrations.ResultsCombustible products users had significantly higher GMs of all biomarkers than non-combustible products users and never users; non-combustible products users had significantly higher GMs than never users for four of seven biomarkers. For all biomarkers examined, cigarette users had the highest GMs compared to other tobacco-product users. Interestingly, GMs of 2-hydroxyfluorene, 3-hydroxyfluorene and ∑2,3-hydroxyphenanthrene were significantly higher in SLT users than in e-cigarette users; 3-hydroxyfluorene and 1-hydroxypyrene were also significantly higher in e-cigarette and SLT users than in never users. Everyday cigarette and SLT users had significantly higher GMs for most biomarkers than some days' users; cigarette and SLT users who used the product in the last hour had significantly higher GMs of most biomarkers than other occasional cigarette or SLT users respectively. By contrast, everyday e-cigarette users' GMs of most biomarkers did not differ significantly from those in some days' e-cigarette users; we did not observe clear trends by time of last use among e-cigarette users.ConclusionsUsers of tobacco products had higher PAH urinary biomarker concentrations compared to never users, and concentrations differed by type and frequency of tobacco product use.

Dataset Information

Co-occurring vulnerabilities and menthol use in U.S. young adult cigarette smokers: Findings from Wave 1 of the PATH Study, 2013-2014.

Publications

Co-occurring vulnerabilities and menthol use in U.S. young adult cigarette smokers: Findings from Wave 1 of the PATH Study, 2013-2014.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets