Prescription opioid misuse among heterosexual versus lesbian, gay, and bisexual military veterans: Evidence from the 2015-2017 national survey of drug use and health

Opioid and benzodiazepine misuse in the United States: The impact of socio-demographic characteristics

BACKGROUND AND OBJECTIVES

In 2021, drug overdose deaths in the United States reached a new record of 107,622. Misuse of opioids and benzodiazepines accounts for a large portion of drug overdose deaths. However, the effects of socio-demographic characteristics on misuse of opioids and benzodiazepines are not evident. Thus, this study examines the socio-demographic characteristics associated with misuse of opioids and benzodiazepines among adults in the United States.

METHODS

Data from 2015-2019 National Survey on Drug Use and Health was utilized in the multinomial logistic regression analysis and included 202,935 adults ages ≥18 years.

RESULTS

During 2015-2019, 3.3% of the adults misused opioids, 1.2% misused benzodiazepines, and 0.9% misused both drugs in the preceding year of the survey. Those who were younger, bisexual, non-Hispanic White, had a history of delinquency in the past year, had alcohol dependence/abuse, marijuana dependence/abuse, nicotine dependence and use, and experienced major depressive episodes were more likely to misuse opioids, benzodiazepines, or both.

CONCLUSION AND SCIENTIFIC SIGNIFICANCE

A large portion of US adults are misusing opioids, benzodiazepines, and both drugs. Specifically, bisexual individuals experience higher odds of opioid misuse, benzodiazepine misuse and misuse of both drugs compared with heterosexuals, while males are experiencing lower odds of benzodiazepine misuse compared with females. Individuals aged 26-49 experience the highest odds of opioid misuse, though misuse of both drugs was higher among the 18-25 age group. Findings underscore the use of targeted preventive measures to reduce misuse of these drugs among at-risk populations identified in this study.

Relationship Between Pain and LGBT Status Among Veterans in Care in a Retrospective Cross-Sectional Cohort

Background

Pain assessment is performed in many healthcare systems, such as the Veterans Health Administration, but prior studies have not assessed whether pain screening varies in sexual and gender minority populations that include individuals who identify as lesbian, gay, bisexual, and/or transgender (LGBT).

Objective

The purpose of this study was to evaluate pain screening and reported pain of LGBT Veterans compared to non-LGBT Veterans.

Methods

Using a retrospective cross-sectional cohort, data from the Corporate Data Warehouse, a national repository with clinical/administrative data, were analyzed. Veterans were classified as LGBT using natural language processing. We used a robust Poisson model to examine the association between LGBT status and binary outcomes of pain screening, any pain, and persistent pain within one year of entry in the cohort. All models were adjusted for demographics, mental health, substance use, musculoskeletal disorder(s), and number of clinic visits.

Results

There were 1,149,486 Veterans (218,154 (19%) classified as LGBT) in our study. Among LGBT Veterans, 94% were screened for pain compared to 89% among those not classified as LGBT (non-LGBT) Veterans. In adjusted models, LGBT Veterans' probability of being screened for pain compared to non-LGBT Veterans was 2.5% higher (95% CI 2.3%, 2.6%); risk of any pain was 2.1% lower (95% CI 1.6%, 2.6%); and there was no significant difference between LGBT and non-LGBT Veterans in persistent pain (RR = 1.00, 95% CI (0.99, 1.01), p = 0.88).

Conclusions

In a nationwide sample, LGBT Veterans were more likely to be screened for pain but had lower self-reported pain scores, though adjusted differences were small. It was notable that transgender and Black Veterans reported the greatest pain. Reasons for these findings require further investigation.

Costs of (In)visibility: Issues of Disclosure and Data for Health Equity Research with Sexual and Gender Minority Veterans

Sexual and gender minority (SGM) veterans experience numerous disparities in health conditions, behavioral risks, and social adversities compared with non-SGM veterans. Although survey data have illuminated these differences, SGM veterans remain largely invisible in administrative data such as electronic health records due to lack of sexual orientation and gender identity information. Administrative data hold promise for propelling SGM health equity research, but several issues must be addressed, including weighing the benefits and threats of visibility for SGM people in data sets that are tied to receipt of services.

Assessing Enacted Sexual Stigma toward Gay and Bisexual Men in the Military: The Enacted Sexual Stigma Experiences Scale in Military Service

Gay and bisexual military servicemembers experience disproportionately high rates of victimization due to enacted sexual stigma (ESS). This study formulated a new scale, called the Enacted Sexual Stigma Experiences Scale in Military Service (ESSESiMS) for gay and bisexual servicemembers, and examined its psychometric propensities. The five-item ESSESiMS was first developed based on the results of focus group interviews with 12 participants. A total of 399 gay and bisexual men who have experience of the military service participated in the study. Exploratory factor analysis (EFA) was implemented to determine the factor structure of the ESSESiMS; the internal consistency and concurrent validity of the ESSESiMS was also examined. The EFA results indicate that the ESSESiMS should have a single-item structure. The ESSESiMS exhibited acceptable internal consistency and concurrent validity. Incidents of ESS in the ESSESiMS were significantly associated with perceived sexual stigma outside the military service and with higher levels of depression, loneliness, and suicidal ideation. The results of our study supported the psychometric properties of the newly developed ESSESiMS for assessing the experiences of ESS among gay and bisexual servicemembers in Taiwan. Experiences of ESS toward gay and bisexual servicemembers were common; ESS was significantly associated with adverse mental health outcomes.

The State of the Research on Opioid Outcomes Among Lesbian, Gay, Bisexual, Transgender, Queer, and Other Sexuality- and Gender-Diverse Populations: A Scoping Review

Purpose: Research on opioid misuse, opioid use disorder (OUD), and overdose (i.e., opioid outcomes) among lesbian, gay, bisexual, transgender, queer, and other populations within the LGBTQ umbrella (LGBTQ+) remains sparse. The purpose of this scoping review was to characterize the state of the research on opioid outcomes among LGBTQ+ populations, and identify gaps in the extant literature and areas for future research. Methods: We conducted a scoping review of peer-reviewed, English language articles published between 2011 and 2020 that examined opioid outcomes among LGBTQ+ populations in the CINAHL, Embase, PubMed, and PsycINFO databases. We extracted data from articles that focused on opioid outcomes within their specific aims or purpose. We include a general summary for articles that secondarily described opioid outcomes among LGBTQ+ populations. Results: Of 113 published studies that examined opioid outcomes among LGBTQ+ populations, 10% (n = 11) were specifically designed to focus on this topic. Across studies, bisexual populations, particularly women, were at highest risk for opioid misuse and OUD. Few studies examined opioid outcomes by more than one dimension of sexual orientation (n = 3, 27%), race and/or ethnicity (n = 3, 27%), or age (n = 5, 45%). Only two included transgender or gender diverse samples; only one explicitly measured gender identity. Conclusions: Future research is needed to understand the impact of the opioid epidemic on LGBTQ+ people, particularly transgender and other gender diverse individuals, and the intersectional role of race, ethnicity, and age in opioid disparities among LGBTQ+ individuals. Additional research could contribute to the development of much-needed affirming OUD treatment and other services for LGBTQ+ people.

Disparities in Mental Health and Health Risk Behaviors for LGBT Veteran Subgroups in a National U.S. Survey

Purpose: This study examined differences in mental health and health risk behaviors across sexual orientation and gender identity among U.S. veterans. Methods: Veterans were recruited through targeted social media advertising, community organizations, and listservs to complete an online survey (N = 1062). Generalized linear regression was used to evaluate differences in outcomes between subgroups, which included cisgender heterosexual men and women, lesbian women, gay men, bisexual men and women, transgender men and women, and veterans with other gender identities. Results: Transgender men and women reported a significantly higher prevalence of lifetime suicide plans and attempts compared to all other subgroups within the respective genders. Beyond this finding, patterns of all outcomes varied by gender. Compared to other subgroups of men, transgender men reported higher prevalence of posttraumatic stress disorder, whereas cisgender gay men reported higher prevalence of lifetime cocaine use and positive human immunodeficiency virus (HIV) status. Within the women subgroups, all LGBT subgroups reported higher prevalence of lifetime smoking and past-year marijuana use compared to heterosexual women. Cisgender lesbian women also reported higher prevalence of past-month heavy episodic drinking, and cisgender bisexual women reported higher prevalence of lifetime cocaine and stimulant use compared to other groups. Conclusion: Transgender women and men reported significantly higher prevalence of lifetime suicide plans and attempts than other groups, highlighting this as an area in need of urgent public health attention. Other disparity patterns indicated the importance of examining subgroups within the LGBT veteran community.

Health disparities among millennial veterans by sexual orientation

The objective of this study was to examine sexual orientation-based disparities in six self-reported health outcomes among millennial aged military veterans. We collected data using The Millennial Veteran Health Study, a cross-sectional internet-based survey with extensive quality control measures. The survey was fielded April through December 2020 and targeted millennial aged veterans across the United States. A total of 680 eligible respondents completed the survey. We assessed six binary health outcomes: alcohol use, marijuana use, frequent chronic pain, opioid misuse, high psychological distress, and fair or poor health status. Using logistic regression adjusted for a range of demographic, socioeconomic, and military-based covariates, we find that bisexual veterans consistently report worse health than straight veterans for all six health outcomes tested. Results for gay or lesbian, compared to straight veterans, were less consistent. Sensitivity models with continuous outcomes, and stratified by gender, found similar results. These results have implications for improving the health of bisexual individuals, including addressing discrimination, belonging, and social identity, particularly in institutional settings that have traditionally heteronormative and masculine cultures such as the military.

Health Behavior Differences Between Male and Female U.S. Military Personnel by Sexual Orientation: The Importance of Disaggregating Lesbian, Gay, and Bisexual Groups

INTRODUCTION

The aims of the study are to identify health-related behaviors associated with sexual orientation among active duty military personnel and to compare those behaviors when lesbian, gay, and bisexual (LGB) groups are aggregated and disaggregated.

MATERIALS AND METHODS

We used public data from the 2015 Health-Related Behavior Survey of Active Duty Military Personnel. Binomial logistic regression analyses were used to examine differences between and within heterosexual, same-sex, and bisexual groups as predicted by the following correlates: demographic characteristics, physical activity, substance use, probable mood disorders, unwanted sexual contact, physical abuse, suicidal behaviors, and sexually transmitted infection (STI).

RESULTS

In univariate analyses, rates of lifetime unwanted sexual contact and lifetime suicidal ideation were significantly higher for bisexual females compared to other groups. The results of regression analyses differed depending on whether LGB groups were aggregated or disaggregated. Aggregated LGB versus heterosexual model found significant differences with respect to unwanted sexual contact, lifetime suicide attempt, STI, smoking, and marijuana use. Disaggregated models found different patterns of significant correlates, e.g., correlates comparing gays to heterosexual males were STI, sexual contact, lifetime suicide attempt, and age; correlates comparing lesbians to heterosexual females were heavy drinking, probable post-traumatic stress disorder, ever used marijuana, lifetime suicide attempt, lifetime physical abuse, and smoking.

CONCLUSION

The findings are consistent with those of previous research showing highest risk for suicidal behaviors and substance abuse among bisexual individuals. We recommend that future studies and clinical care consider LGB sexual identities as heterogeneous groups; otherwise, risks for adverse health behaviors may be overlooked.

Disparities in Prescription Opioid Misuse Affecting Sexual Minority Adults Are Attenuated by Depression and Suicidal Ideation

Purpose: Heightened rates of prescription opioid misuse have been observed among sexual minority (SM) compared with heterosexual populations. In addition, depression and suicidal ideation are risk factors for misuse, and they are also elevated among SM populations. The purpose of this analysis was to examine whether depression and suicidal ideation attenuate disparities in prescription opioid misuse among SM adults. Methods: Data came from a publicly available, nationally representative data set, the National Survey on Drug Use and Health, 2015-2018. Among adults, survey-weighted logistic regression was used to assess the relationship between sexual orientation and past-year opioid misuse adjusting for demographics and either past-year major depressive episode or suicidal ideation. Probabilities of prescription opioid misuse were also assessed under counterfactual rates of depression and suicidal ideation. Analyses were stratified by sex. Results: Among participants in the analytic sample (N = 169,759; SM = 11,268), 9254 (5.5%) reported past-year prescription opioid misuse. The overall rate of opioid misuse decreased from 6.2% in 2015 to 4.6% in 2018. The association between sexual orientation and opioid misuse was attenuated downward for gay men, lesbian women, and bisexual individuals (men and women) after adjusting for either major depressive episode or suicidal ideation, but opioid misuse remained higher among most SM groups. In addition, rates of opioid misuse were found to be lower in counterfactual analyses with a nearly 2.5- and 4-fold decrease in depression and suicidal ideation among gay men and bisexual women, respectively. Conclusion: Efforts to reduce disparities in depression and suicidal ideation affecting SM individuals may reduce disparities in prescription opioid misuse affecting this population.

Disparities in the prevalence of cigarette smoking among bisexual people: a systematic review, meta-analysis and meta-regression

OBJECTIVE

To review the bisexual-specific prevalence and likelihood of cigarette smoking relative to lesbian/gay and heterosexual individuals.

DATA SOURCES

We searched MEDLINE, PsycInfo, CINAHL, Scopus and LGBT Life databases (from 1995 to September 2019) for studies reporting cigarette smoking among bisexuals versus their comparators.

STUDY SELECTION

Observational, quantitative, peer-reviewed studies providing estimates for lifetime, past 30 days or current cigarette smoking among bisexuals and any of the two comparators were selected.

DATA EXTRACTION

Data on sexual orientation groups, cigarette smoking, sample type and mechanism, data collection mode, country and median year, as well as gender and age groups were extracted.

DATA SYNTHESIS

Random-effects meta-analysis was used to estimate the pooled OR (95% CIs) of cigarette smoking. Meta-regression was used to examine the difference in the prevalence of cigarette smoking by study and sample characteristics. Of 4663 unduplicated records, 47 unique studies were included (14, 23 and 22 studies on lifetime, past 30 days and current cigarette smoking, respectively). Compared with lesbians/gays and heterosexuals, bisexuals were 1.25 (1.15 to 1.37) and 2.18 (1.84 to 2.59) times more likely to report lifetime smoking, 1.17 (1.08 to 1.27) and 2.49 (2.20 to 2.83) times more likely to report past 30 days smoking and 1.19 (1.00 to 1.43) and 2.26 (1.97 to 2.59) times more likely to report current smoking. Gender was a significant covariate in the meta-regression models.

CONCLUSIONS

Cigarette smoking was more prevalent among bisexuals than lesbians/gays and heterosexuals, with the estimates showing a greater magnitude among bisexual women relative to all other sexual orientation/gender subgroups.