BACKGROUND: Although prior studies have established the association of asthma with smoking and obesity, literature on difference-in-differences analyses involving sexual identity is sparse. Therefore, this study aimed to examine the between and within sexual identity-group differences in asthma prevalence among individuals who smoke and are obese. METHODS: We aggregated the 2017-2019 National Survey on Drug Use and Health data on adults (N 5 128,319) to perform weighted multivariable logistic regression analysis and marginal estimates and marginsplot to determine asthma prevalence by sexual identity and the status of smoking and obesity. RESULTS: About 66% of the study population reported having asthma. Among the individuals with asthma, 42% were obese, 10% were daily cigarette smokers, and 6% identified as bisexual persons. Lesbian/gay daily smokers (86%) or former smokers (75%) had a higher probability of having asthma than bisexual (daily smokers 5 78% vs former smokers 5 72%) and heterosexual (daily smokers 5 68% vs former smokers 5 65%) persons. Within each sexual identity subgroup, daily smokers (68-86%) had the highest probability of asthma. Obese bisexual (73%) or lesbian/gay (72%) persons had higher probabilities of having asthma than heterosexual persons (69%). Obese (73%) or overweight (72%) bisexual (compared to normal weight 5 70% or underweight 5 51%) and obese (69%) or overweight (65%) heterosexual (compared to normal weight 5 62% or underweight 5 57%) persons had the highest probabilities of having asthma within their groups, whereas overweight persons (overweight 5 81% vs underweight 5 79%, normal weight 5 78%, and obese 5 72%) had the highest probabilities within lesbian/ gay persons. CONCLUSIONS: Smoking and obesity show heightened odds for asthma, with significant odds for sexual minorities in asthma diagnosis relative to heterosexuals. These findings provide formative information for future longitudinal and experimental studies to explore these mechanisms of asthma risks among sexual and gender minorities.
<abstract><sec> <title>Background</title> <p>Suicide is a leading but preventable cause of death and is preceded by domains of thoughts, plans, and attempts. We assessed the prevalence of suicidality domains and determined the association of suicidality domains with sexual identity, mental health disorder symptoms, and sociodemographic characteristics.</p> </sec><sec> <title>Methods</title> <p>We used the 2019 National Survey on Drug Use and Health (NSDUH) data to perform weighted multivariable logistic regression and margins analyses to examine between and within-group differences in suicidality by sexual identity among adults aged ≥ 18 years.</p> </sec><sec> <title>Results</title> <p>About 4.89%, 1.37%, and 0.56% of the population experienced suicidal thoughts, plans, and attempts, respectively. Those aged 18–25 years old had a higher odds of suicidality compared to those aged 26 years or older. Compared to those who reported having no alcohol use dependence, illicit drug use dependence, and major depressive episodes (MDEs), those who reported alcohol use dependence, illicit drug use dependence, and MDE had higher odds of suicidal thoughts, plans, and attempts. Between all sexual identity groups, bisexuals who experienced MDEs had the highest probability of having suicidal thoughts while lesbians and gays who experienced MDE showed a higher probability of suicidal plans and attempts compared to heterosexuals. Within each sexual identity group, the probability of having suicidal thoughts, suicidal plans, and suicidal attempts was higher for those who had experienced MDEs compared to those who had not experienced MDEs.</p> </sec><sec> <title>Conclusion</title> <p>Substance use disorder and MDE symptoms were associated with increased suicidality, especially among young adults and sexual minority people. This disparity underscores the need for tailored interventions and policies to enhance the provision of prompt mental health screening, diagnosis, and linkage to care for mental health services, particularly among the most vulnerable in the population.</p> </sec></abstract>
Background Sexually transmitted disease (STD) cases are rising in the USA, especially among sexual and gender minorities, despite the availability of numerous STD prevention programs. We examined the differences in STD prevalence among sexual and gender minority subgroups with major depressive episode symptoms and substance use dependence. Methods We combined 2017, 2018, and 2019 National Survey on Drug Use and Health (NSDUH) public-use data on adults (N = 127,584) to conduct weighted multivariable logistic regression and margins analyses. Results Approximately 2.05% of the population reported having STDs. The population that had major depressive episode symptoms (AOR = 1.70, 95% CI = 1.46, 1.99), alcohol use dependence (AOR = 1.79, 95% CI = 1.49, 2.16), illicit drug use other than marijuana use dependence (AOR = 2.25, 95% CI = 1.73, 2.92), or marijuana use dependence (AOR = 1.90, 95% CI = 1.57, 2.31) had higher odds of contracting STDs compared to their counterparts. Lesbian/gay (AOR = 2.81, 95% CI = 2.24, 3.54) and bisexual (AOR = 1.95, 95% CI = 1.60, 2.37) individuals had higher odds of contracting STDs. Lesbians/gays with major depressive episode symptoms, alcohol use dependence, or illicit drug use other than marijuana use dependence had the highest probability of having STDs, compared to bisexuals and heterosexuals with major depressive episode symptoms, alcohol use, or illicit drug use other than marijuana use dependence. Bisexuals with marijuana use dependence had the highest probability of STD contraction compared to their lesbian/gay and heterosexual counterparts. Within each sexual identity subgroup, the probability of having STDs was higher for individuals with major depressive episode symptoms, or dependence on alcohol use, illicit drug use other than marijuana use, or marijuana use compared to their counterparts. Conclusion Major depressive episode symptoms, substance use dependence, and sexual and gender minority status had higher risks for STD diagnosis, particularly for sexual and gender minorities with major depressive episode symptoms or substance use dependence. Tailored interventions based on major depressive episode symptoms and substance use dependence may reduce the prevalence of STD, especially among sexual and gender minorities.
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