Associations of sexual identity change and identity-attraction discordance with symptomatic alcohol and other drug use.

PURPOSE: National studies examining alcohol and other drug use by sexual orientation have been primarily cross-sectional. Understanding changes in sexual orientation over time may further elucidate the mechanisms behind sexual orientation differences in alcohol and other drug use. This national longitudinal study examines changes in sexual orientation across four waves (2013-2019), and the associations with symptomatic alcohol and other drug use. METHODS: Data from Waves 1 through 5 of the Population Assessment of Tobacco and Health (PATH) study were used to examine associations of sexual identity change/stability and sexual identity-attraction discordance/concordance from baseline to follow-up with symptomatic substance use at follow-up. We examined four outcomes: any symptomatic substance use, symptomatic alcohol use, symptomatic other drug use, and symptomatic alcohol + other drug use. Mixed effects logistic regression models were used and all analyses were weighted and stratified by sex. RESULTS: In models adjusting for potential confounders, greater likelihood of symptomatic alcohol and other drug use outcomes was found among males and females experiencing a change from a heterosexual to sexual minority identity and among females with new or consistent sexual identity-attraction discordance. CONCLUSION: These findings highlight important sex differences and suggest that the period of transitioning to a sexual minority identity is a particularly vulnerable period for symptomatic alcohol and other drug use. For females, incongruent sexual identity and attraction is also a risk factor. Interventions that assist individuals during this transitional period and during a time when identity and attraction are incongruent, may reduce symptomatic substance use during this period.

Ethnic Discrimination, Sexual Orientation Discrimination, and DSM-5 Alcohol Use Disorder Among U.S. Latino or Hispanic Adults.

We aimed to assess the probability of past-year DSM-5 alcohol use disorder (AUD) and past-year moderate-to-severe DSM-5 AUD as a function of past-year ethnic discrimination among U.S. Latino/Hispanic adults and as a function of past-year discrimination types among Latino/Hispanic sexual minorities (SM). We used data from the 2012-2013 National Epidemiological Survey on Alcohol and Related Conditions-III (n = 36,309 U.S. adults aged ≥18 years). Our sample consisted of 6,954 Latino/Hispanic adults. Multivariable logistic regression analyses estimated the association of past-year ethnic discrimination with past-year AUD and past-year moderate-to-severe AUD among the overall Latino/Hispanic population. We tested the association between discrimination types (i.e. none, ethnic or sexual orientation discrimination, both) with AUD and moderate-to-severe AUD among Latino/Hispanic SM adults. Among Latino/Hispanic adults, 13.4% met criteria for past-year AUD and 6.4% met criteria for past-year moderate-to-severe AUD. Ethnic discrimination was significantly associated with AUD (AOR = 1.09, 95% CI = 1.07-1.12) and moderate-to-severe AUD (AOR = 1.10, 95% CI = 1.06-1.13). Latino/Hispanic SMs who experienced both ethnic and sexual orientation discrimination were more likely to meet criteria for AUD (AOR = 3.44, 95% CI = 1.97-6.03) and moderate-to-severe AUD (AOR = 2.69, 95% CI = 1.25-5.82) compared to those who did not experience discrimination. Discrimination is a risk factor for AUD and moderate-to-severe AUD among Latino/Hispanic overall and SM populations.

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.

Sexual identity differences in biomarkers of tobacco exposure among women in a national sample.

BACKGROUND: Sexual minority women are consistently at increased risk for tobacco use compared to heterosexual women. Neither biomarkers of nicotine exposure nor biomarkers of tobacco toxicant exposure have been examined by sexual identity. METHODS: This study used interview and biomarker data from women in the biomarker core sample of Wave 1 of the Population Assessment of Tobacco and Health (PATH) study (2013-2014; n = 4930). We examined associations of sexual identity with nicotine exposure (measured with urinary cotinine and TNE-2) and with tobacco-specific nitrosamines (measured with urinary NNAL). Multivariable regression modeling was used to examine these associations among the full biomarker core sample, among past 30-day tobacco users, and among exclusive established cigarette users before and after controlling for tobacco use quantity and intensity. RESULTS: In the full biomarker sample of women, prior to adjusting for tobacco use quantity and intensity, bisexual women had significantly higher cotinine, TNE-2, and NNAL levels compared to heterosexual women. Among exclusive established cigarette users, gay/lesbian women had significantly higher NNAL compared to heterosexual women prior to adjusting for tobacco quantity and intensity. No differences by sexual identity were found after adjusting for tobacco use quantity and intensity. CONCLUSIONS: This is the first study to demonstrate differences in biological markers of tobacco exposure by sexual identity among women in the U.S. This has important public health implications as greater exposure to both nicotine and to tobacco-specific nitrosamines are strongly linked to cancer risk.

Assessment of Changes in Alcohol and Marijuana Abstinence, Co-Use, and Use Disorders Among US Young Adults From 2002 to 2018.

Importance: Recent information on the trends in past-year alcohol abstinence and marijuana abstinence, co-use of alcohol and marijuana, alcohol use disorder, and marijuana use disorder among US young adults is limited. Objectives: To assess national changes over time in past-year alcohol and marijuana abstinence, co-use, alcohol use disorder, and marijuana use disorder among US young adults as a function of college status (2002-2018) and identify the covariates associated with abstinence, co-use, and marijuana use disorder in more recent cohorts (2015-2018). Design, Setting, and Participants: This study examined cross-sectional survey data collected in US households annually between 2002 and 2018 as part of the National Survey on Drug Use and Health. The survey used an independent, multistage area probability sample for all states to produce nationally representative estimates. The sample included 182 722 US young adults aged 18 to 22 years. The weighted screening and weighted full interview response rates were consistently above 80% and 70%, respectively. Main Outcomes and Measures: Measures included past-year abstinence, alcohol use, marijuana use, co-use, alcohol use disorder, marijuana use disorder, prescription drug use, prescription drug misuse, prescription drug use disorder, and other drug use disorders based on Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition (DSM-IV) criteria. Results: The weighted sample comprised 51.1% males. Between 2002 and 2018, there was an annual increase in past-year alcohol abstinence among young adults (college students: 0.54%; 95% CI, 0.44%-0.64%; non-college students: 0.33%; 95% CI, 0.24%-0.43%). There was an annual increase in marijuana use from 2002 to 2018 (college: 0.46%; 95% CI, 0.37%-0.55%; non-college: 0.49%; 95% CI, 0.40%-0.59%) without an increase in marijuana use disorder for all young adults. Past-year alcohol use disorder decreased annually (college: 0.66%; 95% CI, 0.60%-0.74%; non-college: 0.61%; 95% CI, 0.55%-0.69%), while co-use of alcohol and marijuana increased annually between 2002 and 2018 among all young adults (college: 0.60%; 95% CI, 0.51%-0.68%; non-college: 0.56%; 95% CI, 0.48%-0.63%). Young adults who reported co-use of alcohol and marijuana or met criteria for alcohol use disorder and/or marijuana use disorder accounted for 82.9% of young adults with prescription drug use disorder and 85.1% of those with illicit drug use disorder. More than three-fourths of those with both alcohol use disorder and marijuana use disorder reported past-year prescription drug use (78.2%) and illicit drug use (77.7%); 62.2% reported prescription drug misuse. Conclusions and Relevance: The findings of this study suggest that US colleges and communities should create and maintain supportive resources for young adults as the substance use landscape changes, specifically as alcohol abstinence, marijuana use, and co-use increase. Interventions for polysubstance use, alcohol use disorder, and marijuana use disorder may provide valuable opportunities for clinicians to screen for prescription drug misuse.

The downside of tobacco control? Smoking and self-stigma: A systematic review.

OBJECTIVE: Little is known about the consequences of tobacco smoking stigma on smokers and how smokers may internalize smoking-related stigma. This review summarizes existing literature on tobacco smoking self-stigma, investigating to what extent smokers are aware of negative stereotypes, agree with them and apply them to themselves. METHODS: We carried out a systematic search of Pubmed/Web of Science/PsycInfo databases for articles related to smoking self-stigma through June 2013. Reference lists and citations of included studies were also checked and experts were contacted. After screening articles for inclusion/exclusion criteria we performed a quality assessment and summarized findings according to the stages of self-stigma as conceptualized in Corrigan's progressive model of self-stigma (aware, agree, apply and harm). Initial searches yielded 570 articles. RESULTS: Thirty of these articles (18 qualitative and 12 quantitative studies) met criteria for our review. Awareness of smoking stigma was virtually universal across studies. Coping strategies for smoking stigma and the degree to which individuals who smoke internalized this stigma varied both within and across studies. There was considerable variation in positive, negative, and non-significant consequences associated with smoking self-stigma. Limited evidence was found for subgroup differences in smoking-related stigma. CONCLUSION: While there is some evidence that smoking self-stigma leads to reductions in smoking, this review also identified significant negative consequences of smoking self-stigma. Future research should assess the factors related to differences in how individuals respond to smoking stigma. Public health strategies which limit the stigmatization of smokers may be warranted.