Associations between tobacco use patterns and demographic characteristics of sexual minority and heterosexual youth: Results from a nationwide online survey

Sexual and Gender Identity Disparities in Nicotine and Tobacco Use Susceptibility and Prevalence: Disaggregating Emerging Identities Among Adolescents From California, USA

INTRODUCTION

Prior studies report nicotine/tobacco use disparities for sexual and gender minority (SGM) youth but have insufficiently characterized SGM identity diversity.

AIMS AND METHODS

Adolescents (mean age = 15.2) from 11 high schools in Southern California completed surveys in Fall 2021. Ever use of combustible (cigarettes, cigars, hookah) and noncombustible (e-cigarettes, e-hookah, heated tobacco, smokeless/snus, oral nicotine) nicotine/tobacco (among overall sample, n = 3795) and susceptibility to future initiation of cigarettes, e-cigarettes, and flavored non-tobacco oral nicotine (among n = 3331 tobacco-naïve youth) were compared across four gender (male/masculine, female/feminine, transgender male/female, non-binary) and seven sexual (heterosexual, bisexual, pansexual, queer, questioning, gay/lesbian, asexual) identities.

RESULTS

Non-binary (vs. cisgender male) youth had greater prevalence of ever combustible (prevalence ratio [PR] = 2.86, 95% confidence intervals (CI): 1.76 to 4.66) and non-combustible (PR = 1.94, 95% CI: 1.31 to 2.86) nicotine/tobacco use, and susceptibility to future nicotine/tobacco initiation (PR range = 2.32-2.68). Transgender (vs. cisgender male) youth had greater susceptibility to nicotine/tobacco use (PR range = 1.73-1.95), but not greater tobacco use prevalence. There was greater prevalence of non-combustible nicotine/tobacco use (PR range = 1.78-1.97) and susceptibility to nicotine/tobacco initiation (PR range = 1.36-2.18) for all sexual minority (vs. heterosexual) identities, except for asexual. Bisexual (PR = 2.03, 95% CI: 1.30 to 3.16) and queer (PR = 2.87, 95% CI: 1.31 to 6.27) youth had higher ever combustible tobacco use than heterosexual youth. Questioning (vs. heterosexual) youth were more susceptible to future tobacco initiation (PR range = 1.36-2.05) but did not differ in ever use.

CONCLUSIONS

Disparities in nicotine/tobacco use and susceptibility were present with similar effect sizes across most, but not all, SGM identities. Inclusive measurement of SGM identities in research and surveillance may inform more precise tobacco control efforts to reduce disparities.

IMPLICATIONS

Among high school students from Southern California with substantial diversity in sexual and gender identities, there was greater prevalence of tobacco use and susceptibility to future tobacco initiation for most, but not all, sexual and gender minority youth, including those with emerging sexual and gender identities such as non-binary, queer and pansexual. Additionally, findings indicate that tobacco control initiatives targeting youth who are questioning their sexual identities may be particularly important for preventing tobacco use initiation. This study reinforces the importance of measuring diversity within the LGBTQ + community for tobacco use research, and highlights how inclusive measurement can inform more precise tobacco control interventions.

Changes in patterns of youth multiple tobacco and/or e-cigarette product use in the US between 2014 and 2020: a multiple-group latent class analysis

BACKGROUND

Multiple tobacco and e-cigarette product (MTEP) use, the concurrent use of two or more different types of tobacco and/or e-cigarettes products, is common among young people in the US. Changes in patterns of MTEP use among US youth between 2014 and 2020 were identified and the determinants of MTEP use were examined.

METHODS

Four years of repeated cross-sectional data from the US National Youth Tobacco Survey of middle and high school students from grade 6 to 12 (Ntotal=77 402). Multigroup latent class analysis (LCA) was applied to the data series to allow for simultaneous identification of MTEP use patterns between 2014 and 2020. Logistic regression was used to predict class membership on demographic and tobacco-related variables.

FINDINGS

Over the 7-year period, LCA identified three patterns: minimal/non-users (MNU: ~89.8%), mostly occasional e-cigarette and cigarette users (MOEC: ~9%) and polytobacco users (POLY: ~1.2%). From 2014 to 2020, MNU increased from 86.4% to 92% (p<0.05), while MOEC and POLY decreased from 11.2% to 7.9% and from 2.4% to 0.1%, respectively. The probability of regular e-cigarette use increased from 0 to 2.3% among MNU, 6% to 31.9% among MOEC and 29.6% to 67.6% among POLY (p<0.05). In binomial logistic regression, being male, in high school, non-heterosexual, living with someone who uses tobacco at home, having cognitive difficulties, having lower perceptions of tobacco's danger and exposure to tobacco marketing were associated with greater odds of MOEC and POLY than MNU.

CONCLUSIONS

There was an increase in regular e-cigarette use in all three classes, but a corresponding decrease in the proportion of MTEP use. Public health interventions to discourage uptake of e-cigarettes, such as tighter restrictions on marketing to minors, are warranted and there is a need to consider disparities in the determinants of MTEP use.

Multiple Tobacco Product Use Among Youth E-Cigarette Users: National Youth Tobacco Survey, 2020

PURPOSE

Limited information exists on multiple tobacco product use, particularly among youth. This study assessed the prevalence of current youth use of e-cigarettes with other tobacco products and their associated characteristics using 2020 National Youth Tobacco Survey data.

METHODS

Prevalence estimates were calculated for current e-cigarette users, by multiple tobacco product use status and product combination. Demographic characteristics, e-cigarette use behaviors, age at first combustible tobacco use, and tobacco dependence symptoms were compared between current users of both e-cigarettes and combustible tobacco (dual users) and current exclusive e-cigarette users.

RESULTS

In 2020, 61.1% of all current e-cigarette users reported exclusive e-cigarette use, and 38.9% used e-cigarettes with other tobacco products. Among those who used e-cigarettes with other tobacco products, 85.0% used combustible tobacco, with cigarettes being the most commonly used other tobacco product. Compared with current exclusive e-cigarette users, higher proportions of dual users reported the following: frequent e-cigarette use; obtaining e-cigarettes from gas stations, persons other than a family member/friend, vape shops, or the internet; and having any tobacco dependence symptoms. Among dual users, 31.2% reported first combustible product use after e-cigarette initiation, and 34.3% reported first combustible product use prior to e-cigarette initiation.

DISCUSSION

Approximately four in 10 youth current e-cigarette users reported using multiple tobacco products, with a majority using combustible tobacco. Frequent e-cigarette use and tobacco dependence symptoms were more prevalent among dual users of e-cigarettes and combustible tobacco.

Is socioeconomic status related to youth e-cigarette use? Examining family affluence and sexual identity

There is limited evidence about the relationship between socioeconomic status (SES) and youth electronic cigarette use, particularly among sexual minorities. This study investigates whether family affluence is significantly associated with e-cigarette use among youth, including sexual minority youth. Data came from the 2021 National Youth Tobacco Survey (N = 10,515). The prevalence of e-cigarette use for all participants and sexual minority youth (N = 1376) by SES was calculated and ranked according to the Family Affluence Scale. A propensity score weighting method was used to address the imbalance in characteristics among SES groups. The associations of SES with current e-cigarette use and current flavored e-cigarette use were estimated using univariate survey logistic regression for all participants and self-identified sexual minority students. The prevalence of e-cigarette use was similar among socioeconomic groups for all participants and sexual minorities. The propensity score weighting analysis showed no significant association between SES and current e-cigarette use for all participants and sexual minority students. Equally, there was no significant association between SES and current flavored e-cigarette use. Findings suggest that other protective and risk factors might explain youth e-cigarette use more than SES (family affluence scale).

Predictors of Past-Year Health Care Utilization Among Young Men Who Have Sex with Men Using Andersen's Behavioral Model of Health Service Use

Purpose: This study examined factors associated with past-year health care utilization among young gay, bisexual, and other men who have sex with men (YMSM) using Andersen's behavioral model of health service use. Methods: From 2018 to 2020, 751 YMSM (aged 13-18) recruited online and offline for the MyPEEPS mHealth HIV prevention study completed an online survey. Hierarchical logistic regression models assessed associations between past-year health care utilization (i.e., routine checkup) and predisposing (parental education, race/ethnicity, age, and internalized homonegativity), enabling (health literacy, health care facility type, U.S. Census Divisions), and need factors (ever testing for HIV). Results: The sample included 31.8% Hispanic, 23.9% White, and 14.6% Black YMSM; median age was 16. Most (75%) reported past-year health care utilization, often from private doctor's offices (29.1%); 6% reported no regular source of care. In the final regression model, higher odds of past-year health care utilization were found for younger participants (age 13-14, adjusted odds ratio [AOR] = 1.91; 95% confidence interval [CI]: 1.07-3.43; age 15-16 AOR = 1.55; 95% CI: 1.04-2.30; reference: 17-18) and those with increasing health literacy (AOR = 1.71; 95% CI: 1.36-2.16). YMSM with lower parental education had lower odds of past-year health care utilization (AOR = 0.56; 95% CI: 0.38-0.84), as did those relying on urgent care facilities (AOR = 0.60; 95% CI: 0.41-0.87; reference: routine care facilities) and those who identified as Mixed/Other race (AOR = 0.50; 95% CI: 0.28-0.91; reference: White). Conclusions: Findings highlight opportunities to intervene in YMSM's health risk trajectory before age 17 to reduce drop-off in routine health care utilization. Interventions to improve routine health care utilization among YMSM may be strengthened by building resilience (e.g., health literacy) while removing barriers maintained through structural disadvantage, including equity in education. Clinical Trial Registration Number: NCT03167606.

The Influence of Friends on Teen Vaping: A Mixed-Methods Approach

Vaping is popular among adolescents. Previous research has explored sources of information and influence on youth vaping, including marketing, ads, family, peers, social media, and the internet. This research endeavors to expand understanding of peer influence. Our hypothesis is that friends’ influence on teen vapers’ first electronic nicotine delivery systems (ENDS) use varies by demographic variables and awareness of ENDS advertising. In August–October 2017, youth (n = 3174) aged 13–18 completed an online survey to quantify ENDS behaviors and attitudes and were invited to participate in follow-up online research in November-December 2017 to probe qualitative context around perceptions and motivations (n = 76). This analysis focused on the ENDS users, defined as having ever tried any ENDS product, from the survey (n = 1549) and the follow-up research (n = 39). Among survey respondents, friends were the most common source of vapers’ first ENDS product (60%). Most survey respondents tried their first ENDS product while “hanging out with friends” (54%). Among follow-up research participants, the theme of socializing was also prominent. ENDS advertising and marketing through social media had a strong association with friend networks; in fact, the odds of friends as source of the first vaping experience were 2 times higher for those who had seen ENDS ads on social media compared with other types of media. The influence of friends is particularly evident among non-Hispanic Whites, Hispanics/Latinos, those living in urban areas, those living in high-income households, those with higher self-esteem, and those who experiment with vaping. These findings support the premise that peer influence is a primary social influencer and reinforcer for vaping. Being included in a popular activity appears to be a strong driving force.