Differences in Tobacco Product Use by Sexual Orientation and Violence Factors Among United States Youth

Sexual Identity Differences in Tobacco (Re)Uptake: Testing Mediation by Internalizing and Externalizing Symptoms

INTRODUCTION

Tobacco use among gay, lesbian, and bisexual individuals is disproportionately higher than among heterosexual individuals. Identifying the mechanisms behind these differences can inform prevention and cessation efforts aimed at advancing health equity. Internalizing and externalizing symptoms as mediators of tobacco (re)uptake among sexual minority individuals was examined.

METHODS

Waves 4 and 5 of the Population Assessment of Tobacco and Health (2016-2019) study were analyzed in 2022. Adolescents aged ≥14 and adults years not using tobacco at Wave 4 (n=21,676) were included. Wave 4 sexual identity was categorized as heterosexual, gay/lesbian, bisexual, or something else. Associations of sexual identity with (re)uptake of cigarette use, E-cigarette use, and polytobacco use at Wave 5 were assessed, along with possible mediation of these associations by Wave 4‒internalizing and ‒externalizing symptoms.

RESULTS

Internalizing and externalizing symptoms predicted tobacco (re)uptake regardless of sexual identity, particularly for female individuals. Gay/lesbian females (AOR=2.26; 95% CI=1.14, 4.48) and bisexual females (AOR=1.36; 95% CI=1.06, 1.74) had greater odds of E-cigarette (re)uptake than heterosexual females. High internalizing and externalizing symptoms accounted for over one third of the difference in E-cigarette (re)uptake among bisexual compared with that among heterosexual females. Males who reported sexual identity as something-else had lower odds of cigarette (re)uptake than heterosexual males (AOR=0.19; 95% CI=0.06, 0.66); this association was not mediated by internalizing and externalizing symptoms.

CONCLUSIONS

Internalizing and externalizing symptoms uniquely contribute to E-cigarette (re)uptake among bisexual females. Strategies that reduce sexual minority stressors and resulting psychological distress may help to reduce tobacco use disparities.

The Influence of COVID-19 Pandemic on the Frequent Use of E-Cigarettes and Its Association with Substance Use and Mental Health Symptoms

BACKGROUND

Although several studies examined the association between e-cigarettes, substance use, and mental health conditions, there is limited research on whether COVID-19-related stress and health outcomes, mental health symptoms, and substance use differ by the frequency of e-cigarette use during the COVID-19 pandemic. We assessed the association of past 30-day frequent use of e-cigarettes with alcohol, cannabis, anxiety/depression, and COVID-19 impact.

METHODS

We conducted a national online cross-sectional survey among a random sample of US adults aged 18 years or older (N = 5065) between 13 May 2021, and 9 January 2022. A multinomial logistic regression analysis was performed to assess the study aims.

RESULTS

Of the participants, 7.17% reported once to several times per month (OSTPM), 6.95% reported once to several times per week (OSTPW), and 6.57% reported every day to several times per day (ESTPD) use of e-cigarettes in the past month. Alcohol and cannabis use ESTPD and once to several times per week/month (OSTPW/M) were associated with a higher likelihood of e-cigarette use ESTPD and OSTPW/M, respectively. Anxiety/depression was associated with e-cigarette use ESTPD and OSTPW. Individuals who considered social distancing to be stressful were more likely to use e-cigarettes ESTPD and OSTPW/M compared to those that considered social distancing as not stressful.

CONCLUSION

Individuals who engaged in the frequent use of alcohol or cannabis, had depression/anxiety, and considered social distancing to be stressful were more likely to engage in frequent e-cigarette use. Improving efforts geared toward reducing the use of substances may help decrease the health risks associated with e-cigarette use.

Intersectionality of Sexual Orientation With Race and Ethnicity and Associations With E-Cigarette Use Status Among U.S. Youth

INTRODUCTION

Although structural discrimination against sexual and racial/ethnicity minorities is a putative risk factor for youth tobacco use, understanding health disparities in youth E-cigarette use at the intersection of sexual orientation, race, and ethnicity is still lacking. This study aims to examine the differences in E-cigarette use prevalence among U.S. youth at the intersections of sexual orientation with race and ethnicity.

METHODS

E-cigarette use status (never, experimental, or current use) was analyzed among 38,510 U.S. youth using a pooled data set from the Youth Risk Behavior Surveillance System 2015-2019. The weighted E-cigarette use status between youth at the intersections of sexual orientation with race and ethnicity was reported, stratified by sex. Multivariable multinomial regression adjusting for relevant covariates was further conducted. Data analyses were performed in April 2022.

RESULTS

After controlling for other covariates, the RRR of current E-cigarette use compared with never use between lesbian Black girls (and heterosexual Black girls) was higher than between lesbian White girls (and heterosexual White girls) (adjusted RRR=6.99; 95% CI=2.21, 22.14). The RRR of current E-cigarette use compared with never use between lesbian other race/multiracial girls (and heterosexual other race/multi-racial girls) was higher than between lesbian White girls (and heterosexual White girls) (adjusted RRR=3.60; 95% CI=1.06, 12.26).

CONCLUSIONS

This study has shown that sexual minority Black girls were more likely to currently use E-cigarettes than heterosexual Black girls. Future studies should examine the underlying reasons for current E-cigarette use among girls with intersectional identities, including race and sexual orientation.

Machine learning analysis of non-marital sexual violence in India

BACKGROUND

Machine learning techniques can explore low prevalence data to offer insight into identification of factors associated with non-marital sexual violence (NMSV). NMSV in India is a health and human rights concern that disproportionately affects adolescents, is under-reported, and not well understood or addressed in the country.

METHODS

We applied machine learning methods to retrospective cross-sectional data from India's nationally-representative National Family Health Survey 4, a demographic and health study conducted in 2015-16, which offers 4000+ variables as potential independent variables. We used Least Absolute Shrinkage and Selection Operator (lasso) or L-1 regularized logistic regression models as well as L-2 regularized logistic regression or ridge models; we conducted an iterative thematic analysis (ITA) of variables generated from a series of regularized models.

FINDINGS

Thematic analysis of regularized models highlight that past exposure to violence was most predictive of NMSV, followed by geography, sexual behavior, and poor sexual and reproductive health knowledge. After these, indicators largely related to resources and autonomy (e.g., access to health services, and income generating) were associated with NMSV. Exploratory analysis with the subsample of never married adolescents 15-19 years old, a population with higher representation of recent NMSV, further emphasized the role of wealth and mobility as key correlates of NMSV, along with poor HIV knowledge, tobacco use, higher fertility preferences, and attitudes accepting of marital violence.

INTERPRETATION

Findings indicate the validity of machine learning with iterative theme analysis (ITA) to identify factors associated with violence. Findings were consistent with prior work demonstrating associations between NMSV and other violence experiences, but also showed novel correlates such as lower SRH knowledge and service utilization and, for girls, norms and preferences suggesting more restrictive gender norms. Sexual and reproductive health, gender equity and safety focused interventions are important for addressing NMSV in India, particularly for adolescents.