Mental health condition indicators and e-cigarette use among sexual minority youth

Perspectives of Sexual and Gender Minority Youth on Anti-Vaping Messages in Social Media

INTRODUCTION

Sexual and gender minority (SGM) youth have higher rates of nicotine vaping than other youth in the United States. While social media can be effective in reaching youth and discouraging vaping, informed cultural tailoring is necessary to ensure effective messaging to SGM youth. This study aimed to understand SGM youth perspectives on anti-vaping social media messages and tailoring approaches.

AIMS AND METHODS

In-depth, qualitative videoconference interviews were conducted from February to July 2022 with 34 SGM youth recruited in the United States via social media ads. The interview guide addressed participants' beliefs about vaping, the context of vaping, perspectives on tailoring messages, and responses to examples of social media anti-vaping messages. Coding and thematic analysis followed a team-based approach.

RESULTS

SGM youth perspectives fell into four categories-representation and diversity, facts and evidence, empowering messages, and source credibility. Participants stressed the importance of accurate, genuine representation of SGM youth in messages, but also noted that more overt representation may be seen as tokenizing. Participants recommended partnering with known LGBTQ + influencers who can promote or share anti-vaping messages on social media platforms. They also recommended using culturally tailored language, including statistics specific to SGM youth, and invoking themes of empowerment to improve the relevance, reach, and effectiveness of anti-vaping campaigns.

CONCLUSIONS

Findings can inform future efforts to develop anti-vaping messages for SGM youth with effective reach through social media. Nuanced perspectives on SGM representation in messages suggest a careful approach to tailoring. Concerns around inauthenticity may be minimized by ensuring SGM youth are included in message development and dissemination.

IMPLICATIONS

This study describes the importance of being attentive to the tailoring preferences among the current generation of SGM youth. Findings will inform social media-based messaging strategies that discourage nicotine vaping tailored for SGM youth in health campaign material design and evaluation, ensuring that tailored messages are designed in ways that avoid unintended consequences. The study also describes methods for effectively engaging SGM youth in research to improve the relevance of health education materials for this population and increase reach, which in turn can lead to a reduction in vaping practices among SGM youth.

Measuring cigarette and e-cigarette use over time among LGBT+ youth and young adults using a repeat cross-sectional survey, 2022-2024

INTRODUCTION

LGBT+ individuals in the U.S. use tobacco products more than their heterosexual and cisgender peers. Although existing literature identifies this trend, more research using recent, national data from a large sample is needed to better examine trends over time.

METHODS

A repeat cross-sectional survey of approximately n=300 youth and young adults aged 15-24 was fielded weekly from October of 2022 to June of 2024, resulting in a total sample of N=25,675. This sample was used to examine cigarette and e-cigarette use over time among LGBT+ and non-LGBT+ youth and young adults. Cigarette and e-cigarette use was also examined by specific sexual orientation and gender identity, using the aggregated sample.

RESULTS

From October 2022 - June 2024, cigarette and e-cigarette use were consistently higher among LGBT+ youth and young adults, compared to their cisgender and heterosexual peers. Compared to heterosexual young people, gay/lesbian and bisexual young people reported higher cigarette and e-cigarette use. Male-identifying individuals reported the highest cigarette use while, female young people reported the highest e-cigarette use. Transgender and gender diverse individuals reported lower cigarette and e-cigarette use than cisgender young people.

CONCLUSIONS

Tobacco use disparities persist among LGBT+ youth and young adults. Sexual minority respondents showed elevated risk of tobacco use, while gender minority youth saw lower rates of tobacco use, although prevalence remains high. Future research should continue to investigate LGBT+ tobacco use using national surveillance methods. Effective programs for tobacco prevention and cessation are necessary to advance health equity among LGBT+ youth and young adults.

IMPLICATIONS

This study finds persistently elevated tobacco use among LGBT+ youth and young adults over a two-year period, highlighting the importance of continued tobacco use surveillance, as well as the development of programmatic interventions to reduce LGBT+ tobacco use. These analyses also inform future work further investigating differences in tobacco use by sexual orientation and gender identity among young people. This work provides a call to action to focus efforts on reducing tobacco use among LGBT+ youth, improving the long-term health of this population and increasing health equity.

Patterns of Tobacco and Cannabis Use Among Sexual Minority Females and Males From PATH Wave 5: The Role of Sociodemographic and Psychosocial Correlates

INTRODUCTION

Although sexual minority (SM; vs heterosexual) individuals display higher rates of tobacco and cannabis use, limited research has examined sociodemographic and psychosocial correlates of single and co-use among this population.

METHODS

Participants were SM-identifying female (N = 2419; Mage = 27.80; 50.0% racial/ethnic minority) and male (N = 1142; Mage = 30.34; 46.1% racial/ethnic minority) adults from Wave 5 of the Population Assessment of Tobacco and Health study. Multinomial logistic regressions examined sociodemographic (ie, sexual identity, age, race/ethnicity, education, income) and psychosocial (ie, alcohol use, mental health, substance use) correlates of single and co-use (ie, no use [referent], tobacco-only, cannabis-only, co-use), controlling for state cannabis legalization, among SM females and males, separately.

RESULTS

The proportions of SM females reporting no use, tobacco-only, cannabis-only, and co-use were 37.9%, 24.0%, 10.5%, and 27.6%, respectively. Among males, 40.6%, 27.8%, 10.1%, and 21.5% reported no use, tobacco-only, cannabis-only, and co-use, respectively. Among females and males, substance use problems were associated with all 3 use groups (vs no use); past-month alcohol use was associated with cannabis-only and co-use; and mental health symptoms were associated with co-use (and cannabis-only in males). Sociodemographic correlates among females were: tobacco-only-identifying as bisexual (vs lesbian), White (vs Black), older, lower education, and lower income; cannabis-only-bisexual, other race (vs White); and co-use-White (vs Hispanic), lower education, and lower income. Among males, sociodemographic correlates were: tobacco-only-older, lower education, and lower income; cannabis-only-Black (vs White) and higher income.

CONCLUSIONS

Public health efforts to reduce tobacco and cannabis use among SM adults should target single versus co-use patterns and their corresponding sociodemographic, mental health, and substance use profiles.

Social media and e-cigarette use: The mediating role of mental health conditions

BACKGROUND

In recent years, youth social media use, youth e-cigarette use, and youth mental health conditions have become major public health concerns. We examined the role of mental health condition indicators in the link between youth social media use and e-cigarette use.

METHODS

We used data from the 2022 National Youth Tobacco Survey (N = 23,445) to measure social media use by time spent, anxiety and depression symptoms by the Patient Health Questionnaire-4, and past-30-day e-cigarette use. We applied the potential outcomes framework to examine the relationship between social media use and e-cigarette use mediated by mental health condition indicators.

RESULTS

Mental health condition indicators mediated the relationship between social media use and e-cigarette use in a dose-response manner, with higher levels of social media use associated with higher odds of e-cigarette use. With mental health condition indicators as a mediator, those who used social media for 4+ hours/day or 3-4 h/day had significantly higher odds of e-cigarette use than those who used social media sometimes or never. In the sex-stratified analysis, we found that very often social media use was associated with higher odds of e-cigarette use for both males and females, compared to sometimes users (OR = 1.53, 95 % CI [1.18,1.96] for males; OR = 2.27, 95 % CI [1.76,2.92] for females).

LIMITATIONS

Anxiety and depression symptoms were self-reported.

CONCLUSIONS

This study shows that anxiety and depression symptoms mediate the relationship between social media and e-cigarette use among youth and support the growing concern that frequent social media use may negatively affect youth health.

Disparities in Electronic Cigarette Use: A Narrative Review

The prevalence of electronic cigarette use has been declared an epidemic by the U.S. Surgeon General in 2018, particularly among youth aged 18-24 years old. Little is known about the differential use of e-cigarettes by different groups. PubMed, Cochrane, and Google Scholar were used to find relevant articles. A total of 77 articles were included. The extant literature reveals disparities in e-cigarette use by race/ethnicity and sexuality/gender. There are conflicting conclusions regarding disparities by socioeconomic status.

Beyond the label: current evidence and future directions for the interrelationship between electronic cigarettes and mental health

Electronic cigarette use has dramatically increased over the last decade. With this recent technological development and wide range of constituents in various products, putative adverse effects on the brain and body have been largely unexplored. Here, we review current evidence linking electronic nicotine cigarette use with potential health consequences and provide evidence supporting an association between drug use and depression in humans. We also examine the biological effects of individual constituents in electronic cigarette aerosols, which include labeled ingredients, such as propylene glycol, vegetable glycerin, nicotine, and flavorants, as well as unlabeled ingredients found in the aerosols, such as carbonyls and heavy metals. Lastly, we examine the effects of electronic cigarette use on endogenous metabolism via changes in cytochrome P450 enzymes, which can thereby impact therapeutic outcomes. While the current evidence offers insight into the potential effects of electronic cigarette use on biological processes, further studies are necessary to determine the long-term clinical relevance of aerosol inhalation.