Examining the prevalence of nicotine vaping and association of major depressive episodes among adolescents and young adults by disability type in 2021.

BACKGROUND: Nicotine vaping is more prevalent among U.S. adults with disabilities compared to those without disabilities. However, less is known about nicotine vaping among adolescents (12-17 years) and young adults (18-25 years) by disability status. METHODS: Using data from a sample of 24,722 adolescents and young adults (AYAs) from the 2021 National Survey on Drug Use and Health, we conducted descriptive and multivariable analyses to estimate the national prevalence of nicotine vaping by disability type and examined major depressive episodes (MDEs) as a risk factor for nicotine vaping. RESULTS: A greater proportion of AYAs with disabilities engaged in past-month nicotine vaping compared to those without a disability (13.9 % vs 9.6 %, p = 0.0001). Also, when MDE was excluded from the model, AYAs with any disability had higher odds of nicotine vaping (AOR = 1.41; 95 % CI 1.15, 1.74) than those without a disability. However, disability status was no longer significant when MDE was included (AOR = 1.16; 95 % CI 0.91, 1.46) in the model. CONCLUSIONS: The higher prevalence of nicotine vaping among AYAs with disabilities suggests that tailored messages may be needed to communicate health risks and adverse outcomes of e-cigarette use. Also, MDE is associated with nicotine vaping among AYA populations. This information can be helpful to school nurses, counselors, and mental health professionals in their screening of major depression as a risk factor for e-cigarette use.

Tobacco Use, Dependence, and Age of Initiation among Youths with Cognitive Disability.

OBJECTIVES: To examine the prevalence of tobacco use by product type among youths with cognitive disability; the prevalence of tobacco dependence among youths with cognitive disability; and the relationship between age of tobacco use initiation and cognitive disability. STUDY DESIGN: This cross-sectional study analyzed data from the 2019 National Youth Tobacco Survey (NYTS). Participants were a nationally representative sample of 19 018 students in grades 6-12. Estimates were calculated for ever use, current use, age of tobacco use initiation, and tobacco dependence. Associations between use patterns and cognitive disability status were examined using bivariate analyses and multivariable logistic regression. RESULTS: Compared with youths without cognitive disability, youths with cognitive disability had significantly greater odds of ever using any tobacco product (aOR, 1.49; 95% CI, 1.31-1.70), currently using any tobacco product (aOR, 1.41; 95% CI, 1.26-1.58), and currently using electronic cigarettes (e-cigarettes), cigarettes, cigars, hookahs, roll-your-own cigarettes, and heated tobacco products, specifically. They had higher prevalence and odds of reporting younger age of tobacco use initiation (aOR, 1.25; 95% CI, 1.10-1.43). Higher prevalence and odds of tobacco dependence were also observed among youths with cognitive disability compared with youths without cognitive disability (P < .001). CONCLUSIONS: These findings reinforce the importance of developing early primary prevention efforts to reduce or delay tobacco use among adolescents with cognitive disability. They also suggest the need to address co-occurring disorders during tobacco cessation programs with this high-risk group.

Tobacco use disparities and disability among US college students.

ObjectiveTo describe the prevalence of tobacco use among a nationally representative sample of college students with disabilities. Participants: Analyses were conducted on a sample of 6189 college students. Methods: Data from the 2017 National Survey on Drug Use and Health were analyzed for ever use, past-month, past-year use of tobacco products, and nicotine dependence. Regression models were conducted to examine the association between tobacco use and disability. Results: Prevalence of tobacco use was higher for students with disabilities. Odds of current tobacco use were higher for students with disabilities (adjusted odds ratio = 1.77) compared to those without disabilities. Students with disabilities also had greater odds of nicotine dependence. Conclusions: The prevalence of tobacco use and nicotine dependence was higher among students with disabilities compared to nondisabled students. As more students with disabilities enroll in postsecondary institutions, services must be provided to these students who are at increased risk for tobacco use.

Association Between Electronic Cigarette Marketing Near Schools and E-cigarette Use Among Youth.

PURPOSE: Electronic cigarettes (e-cigarettes) are now the most popular tobacco product among youth. Little is known about the relationship between exposure to e-cigarette marketing at the point-of-sale and youth e-cigarette use. METHODS: Research staff collected data on e-cigarette availability and promotion in tobacco retailers within a half-mile of 41 schools participating in the 2014 New Jersey Youth Tobacco Survey. These data were linked with participant responses from the New Jersey Youth Tobacco Survey (n = 3,909) and log-Poisson regression models estimated adjusted prevalence ratios for ever and past-month e-cigarette use. RESULTS: Nearly a quarter of high school students in New Jersey have tried e-cigarettes (24.1%) and 12.1% were past-month users. Prevalence was highest among males, non-Hispanic whites, and students who have used other tobacco products. After controlling for covariates and the clustered nature of the data, e-cigarette retailer density around schools was positively associated with ever and past-month use of e-cigarettes (p < .05). E-cigarette advertising volume significantly increased the probability of being a past-month e-cigarette user (adjusted prevalence ratio: 1.03, p = .031). CONCLUSIONS: This study suggests that the point-of-sale environment around schools may contribute to e-cigarette use among youth. Policy efforts to restrict tobacco promotion at the point-of-sale may play a role in reducing the use of e-cigarettes.