Patient Characteristics Associated with Receiving Gender-Affirming Hormone Therapy in the Veterans Health Administration.

Purpose: This study aimed to examine patient characteristics associated with receipt of gender-affirming hormone therapy in the Veterans Health Administration (VHA). Methods: This cross-sectional study included a national cohort of 9555 transgender and gender diverse (TGD) patients with TGD-related diagnosis codes who received care in the VHA from 2006 to 2018. Logistic regression models were used to determine the association of health conditions and documented social stressors with receipt of gender affirming hormone therapy. Results: Of the 9555 TGD patients, 57.4% received gender-affirming hormone therapy in the VHA. In fully adjusted models, patients who had following characteristics were less likely to obtain gender-affirming hormones in the VHA: Black, non-Hispanic versus white (adjusted odds ratio [aOR]: 0.61; 95% confidence interval [CI]: 0.52-0.72), living in the Northeast versus the West (aOR: 0.72; 95% CI: 0.62-0.84), a documented drug use disorder (aOR: 0.56; 95% CI: 0.47-0.68), ≥3 versus no comorbidities (aOR: 0.44; 95% CI: 0.34-0.57), and ≥3 versus no social stressors (aOR: 0.42; 95% CI: 0.30-0.58; all p<0.001). Younger patients aged 21-29 years were almost 3 times more likely to receive gender affirming hormone therapy in the VHA than those aged ≥60 (aOR: 2.98; 95% CI: 2.55-3.47; p<0.001). Conclusion: TGD individuals who were older, Black, non-Hispanic, and had more comorbidities and documented social stressors were less likely to receive gender-affirming hormone therapy in the VHA. Further understanding of patient preferences in addition to clinician- and site-level determinants that may impact access to gender-affirming hormone therapy for TGD individuals in the VHA is needed.

Sex, gender diversity, and brain structure in early adolescence.

There remains little consensus about the relationship between sex and brain structure, particularly in early adolescence. Moreover, few pediatric neuroimaging studies have analyzed both sex and gender as variables of interest-many of which included small sample sizes and relied on binary definitions of gender. The current study examined gender diversity with a continuous felt-gender score and categorized sex based on X and Y allele frequency in a large sample of children ages 9-11 years old (N = 7195). Then, a statistical model-building approach was employed to determine whether gender diversity and sex independently or jointly relate to brain morphology, including subcortical volume, cortical thickness, gyrification, and white matter microstructure. Additional sensitivity analyses found that male versus female differences in gyrification and white matter were largely accounted for by total brain volume, rather than sex per se. The model with sex, but not gender diversity, was the best-fitting model in 60.1% of gray matter regions and 61.9% of white matter regions after adjusting for brain volume. The proportion of variance accounted for by sex was negligible to small in all cases. While models including felt-gender explained a greater amount of variance in a few regions, the felt-gender score alone was not a significant predictor on its own for any white or gray matter regions examined. Overall, these findings demonstrate that at ages 9-11 years old, sex accounts for a small proportion of variance in brain structure, while gender diversity is not directly associated with neurostructural diversity.

Non-affirmation minority stress, internalized transphobia, and subjective cognitive decline among transgender and gender diverse veterans aged 45 years and older.

OBJECTIVES: To examine the associations of two measures of minority stress, non-affirmation minority stress and internalized transphobia, with subjective cognitive decline (SCD) among transgender and gender diverse (TGD) veterans. METHOD: We administered a cross-sectional survey from September 2022 to July 2023 to TGD veterans. The final analytic sample included 3,152 TGD veterans aged ≥45 years. We used a generalized linear model with quasi-Poisson distribution to calculate prevalence ratios (PR) and 95% confidence intervals (CIs) measuring the relationship between non-affirmation minority stress and internalized transphobia and past-year SCD. RESULTS: The mean age was 61.3 years (SD = 9.7) and the majority (70%) identified as trans women or women. Overall, 27.2% (n = 857) reported SCD. Adjusted models revealed that TGD veterans who reported experiencing non-affirmation minority stress or internalized transphobia had greater risk of past-year SCD compared to those who did not report either stressor (aPR: 1.09, 95% CI: 1.04-1.15; aPR: 1.19, 95% CI: 1.12-1.27). CONCLUSION: Our findings demonstrate that proximal and distal processes of stigma are associated with SCD among TGD veterans and underscore the need for addressing multiple types of discrimination. Above all, these results indicate the lasting sequelae of transphobia and need for systemic changes to prioritize the safety and welfare of TGD people.

Effects of cannabis use on cigarette smoking cessation in LGBTQ+ individuals.

OBJECTIVE: Sexual and gender minority individuals are more likely to use tobacco and cannabis and have lower cigarette cessation. This study examined cannabis use associations with daily cigarettes smoked in sexual and gender minority individuals before and during a quit attempt. METHOD: Participants included dual smoking same-sex/gender couples from California that were willing to make a quit attempt (individual n = 205, 68.3% female sex). Participants reported baseline past 30-day cannabis use and number of cigarettes smoked and cannabis use (yes/no) during 35 nightly surveys. Individuals with current cannabis use reported baseline cannabis use and/or nightly survey cannabis use. Multilevel linear models predicted number of cigarettes smoked by cannabis use. RESULTS: Number of cigarettes decreased from before to during a quit attempt, but this decrease was smaller in individuals with current cannabis use compared to no current cannabis use (p < .001). In individuals with current cannabis use, number of cigarettes smoked was greater on days with cannabis use (p < .001). Furthermore, cannabis use that day increased overall number of cigarettes in those with relatively high overall cannabis use but only during a quit attempt in those with relatively low cannabis use (Within-Subject Cannabis Use × Between-Subject Cannabis Use × Quit Attempt interaction; p < .001). CONCLUSIONS: Sexual and gender minority individuals with cannabis and cigarette use may have a harder time quitting smoking than those who do not use cannabis. For those with cannabis use, guidance on not using cannabis during a quit attempt may improve cigarette cessation outcomes. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Causes of Death of Transgender and Gender Diverse Veterans.

INTRODUCTION: Transgender and gender diverse (TGD) veterans face numerous challenges due to stigma and marginalization, which have a significant impact on their health and well-being. However, there is insufficient data on cause-specific mortality in TGD veteran populations in the U.S. The purpose of this study was to describe the leading causes of death in a sample of TGD veterans who received care from the Veterans Health Administration. METHODS: A secondary data analysis was conducted using Veterans Health Administration electronic health record data matched with death certificate records from the National Death Index from October 1, 1999 to December 31, 2019. Using record axis codes from National Death Index data, the 25 most frequent underlying and all causes of death were summarized. RESULTS: Deaths occurred in 1,415 TGD veterans. Ranking by any mention on the death certificate, mental and behavioral disorders due to psychoactive substance use (17.2%), conduction disorders and cardiac dysrhythmias (15.3%), chronic obstructive pulmonary disease (15.1%), diabetes mellitus (13.9%), and chronic ischemic heart disease (13.3%) were the top five causes of death. Three distinct methods of suicide appeared as the 7th (firearms), 17th (self-poisoning), and 24th (hanging) underlying causes of death for TGD veterans. CONCLUSIONS: Targeted prevention efforts or interventions to reduce the frequency and severity of causes of death, particularly mental and behavioral health disorders and metabolic disorders, could prevent premature mortality among TGD adults.

Limitations of Sexual Orientation and Gender Identity Information as Reported in the National Violent Death Reporting System.

The National Violent Death Reporting System (NVDRS) is a Centers for Disease Control and Prevention (CDC) restricted-access database detailing precipitating circumstances to U.S. violent deaths. In 2013 and 2015, the CDC added codes denoting sexual orientation and gender identity (SOGI) and sex of partner. In the past decade, researchers have leveraged NVDRS data to document SOGI-related patterns and characteristics of violent death including suicide. Yet, there are substantial limitations to NVDRS SOGI information that should be considered in responsible reporting by researchers and informed assessment by reviewers. In this perspective, we summarize some of these challenges and offer recommendations for using NVDRS SOGI data responsibly.

Which veterans with PTSD are most likely to report being told of their diagnosis?

Veterans who do not know about their posttraumatic stress disorder (PTSD) diagnosis experience a fundamental barrier to accessing effective treatment. Little is known about the characteristics that influence veterans' PTSD diagnosis knowledge (i.e., report of being told they have a PTSD diagnosis by a healthcare provider). Veterans who met probable and provisional criteria for PTSD on the self-report PTSD checklist for DSM-5 were identified from the Comparative Health Assessment Interview Research Study (n = 2335). Weighted logistic regression was performed to identify demographic variables, clinical characteristics, and social determinants of health (e.g., economic instability, homelessness, healthcare coverage) associated with PTSD diagnosis knowledge among post-9/11 veterans. Approximately 62% of veterans with probable and provisional PTSD had PTSD diagnosis knowledge. Predictors with the strongest associations included another mental health diagnosis (OR = 6.10, CI95:4.58,8.12) and having Veterans Affairs (VA) healthcare coverage (OR = 2.63, CI95:1.97,3.51). Veterans with combat or sexual trauma were more likely to have PTSD diagnosis knowledge than those with different trauma types. Results suggest veterans with VA healthcare coverage and military-related trauma are more likely to be informed by a healthcare professional about a PTSD diagnosis. Further research is needed to improve PTSD diagnosis knowledge for those with non-military-related trauma and those without VA healthcare coverage.

Factors associated with receipt of minimally adequate psychotherapy for PTSD at the Veterans Health Administration.

BACKGROUND: Despite Veterans Health Administration (VHA) efforts, many Veterans do not receive minimally adequate psychotherapy (MAP) for posttraumatic stress disorder (PTSD). It is important to understand factors associated with receipt of PTSD MAP (at least eight sessions) so that we may tailor efforts to increase treatment utilization for those who experience the greatest barriers to care. METHODS: Participants were 2008 post-9/11 Veterans who participated in a nationwide survey and had a PTSD diagnosis documented in the VHA electronic health record (EHR) before 2018. Participants self-reported sociodemographic information and trauma history. Service utilization data (e.g., PTSD MAP) were obtained from EHR. Logistic regression was used to model factors associated with PTSD MAP. RESULTS: Only 24% of Veterans (n = 479) received PTSD MAP. Veterans who reported that they were not employed and had reported history of military sexual trauma were more likely to have received PTSD MAP. CONCLUSIONS: Understanding and addressing barriers to PTSD care for Veterans who are employed could help improve PTSD treatment utilization for this group.

Patient Experiences and Provider Perspectives on Accessing Gender-Affirming Surgical Services in the Veterans Health Administration.

BACKGROUND: Transgender and gender diverse (TGD) veterans have a greater prevalence of suicide morbidity and mortality than cisgender veterans. Gender-affirming surgery (GAS) has been shown to improve mental health for TGD veterans. In 2021, the Veterans Health Administration (VHA) announced the initiation of a rulemaking process to cover GAS for TGD patients. OBJECTIVE: This study explores patients' and providers' perspectives about access to GAS and other gender-affirming medical interventions not offered in the VHA including barriers, facilitators, and clinical and policy recommendations. PARTICIPANTS: TGD patients (n = 30) and VHA providers (n = 22). APPROACH: Semi-structured telephone interviews conducted from August 2019 through January 2020. Two TGD analysts used conventional and directed content analysis to code transcribed data. KEY RESULTS: VHA policy exclusions were the most cited barrier to GAS. Additional barriers included finding information about GAS, traveling long distances to non-VHA surgeons, out-of-pocket expenses, post-surgery home care, and psychological challenges related to the procedure. Factors facilitating access included surgical care information from peers and VHA providers coordinating care with non-VHA GAS providers. Pre- and post-operative care through the VHA also facilitated receiving surgery; however, patients and providers indicated that knowledge of these services is not widespread. Respondents recommended disseminating information about GAS-related care and resources to patients and providers to help patients navigate care. Additional recommendations included expanding access to TGD mental health specialists and establishing referrals to non-VHA GAS providers through transgender care coordinators. Finally, transfeminine patients expressed the importance of facial GAS and hair removal. CONCLUSIONS: A policy change to include GAS in the VHA medical benefits package will allow the largest integrated healthcare system in the United States to provide evidence-based GAS services to TGD patients. For robust and consistent policy implementation, the VHA must better disseminate information about VHA-provided GAS-related care to TGD patients and providers while building capacity for GAS delivery.

Identifying suicide documentation in clinical notes through zero-shot learning.

Background and Aims: In deep learning, a major difficulty in identifying suicidality and its risk factors in clinical notes is the lack of training samples given the small number of true positive instances among the number of patients screened. This paper describes a novel methodology that identifies suicidality in clinical notes by addressing this data sparsity issue through zero-shot learning. Our general aim was to develop a tool that leveraged zero-shot learning to effectively identify suicidality documentation in all types of clinical notes. Methods: US Veterans Affairs clinical notes served as data. The training data set label was determined using diagnostic codes of suicide attempt and self-harm. We used a base string associated with the target label of suicidality to provide auxiliary information by narrowing the positive training cases to those containing the base string. We trained a deep neural network by mapping the training documents' contents to a semantic space. For comparison, we trained another deep neural network using the identical training data set labels, and bag-of-words features. Results: The zero-shot learning model outperformed the baseline model in terms of area under the curve, sensitivity, specificity, and positive predictive value at multiple probability thresholds. In applying a 0.90 probability threshold, the methodology identified notes documenting suicidality but not associated with a relevant ICD-10-CM code, with 94% accuracy. Conclusion: This method can effectively identify suicidality without manual annotation.

Association between Services to Address Adverse Social Determinants of Health and Suicide Mortality among Veterans with Indicators of Housing Instability, Unemployment, and Justice Involvement.

Suicide among Veterans continues to be a priority issue addressed by the U.S. Department of Veterans Affairs (VA). In addition to a variety of services specifically intended to prevent suicide, VA also offers a number of services to address Veterans' social determinants of health (SDH), several of which may be associated with elevated risk for suicide. For the present study, we assessed whether participation in services to address adverse SDH is associated with a reduction in risk of suicide mortality among Veterans using secondary data from VA datasets (1/1/2014-12/31/2019) for Veterans with an indicator of housing instability, unemployment, or justice involvement. Logistic regressions modeled suicide mortality; use of services to address SDH was the primary predictor. There was not a statistically significant association between services use and suicide mortality; significant correlates included race other than African American, low or no compensation related to disability incurred during military service, and suicidal ideation/attempt during observation period. Suicide is a complex outcome, difficult to predict, and likely the result of many factors; while there is not a consistent association between services use related to adverse SDH and suicide mortality, providers should intervene with Veterans who do not engage in SDH-focused services but have risk factors for suicide mortality.

Sex, gender diversity, and brain structure in children ages 9 to 11 years old.

There remains little consensus about the relationship between sex and brain structure, particularly in childhood. Moreover, few pediatric neuroimaging studies have analyzed both sex and gender as variables of interest - many of which included small sample sizes and relied on binary definitions of gender. The current study examined gender diversity with a continuous felt-gender score and categorized sex based on X and Y allele frequency in a large sample of children ages 9-11 years-old (N=7693). Then, a statistical model-building approach was employed to determine whether gender diversity and sex independently or jointly relate to brain morphology, including subcortical volume, cortical thickness, gyrification, and white matter microstructure. The model with sex, but not gender diversity, was the best-fitting model in 75% of gray matter regions and 79% of white matter regions examined. The addition of gender to the sex model explained significantly more variance than sex alone with regard to bilateral cerebellum volume, left precentral cortical thickness, as well as gyrification in the right superior frontal gyrus, right parahippocampal gyrus, and several regions in the left parietal lobe. For mean diffusivity in the left uncinate fasciculus, the model with sex, gender, and their interaction captured the most variance. Nonetheless, the magnitude of variance accounted for by sex was small in all cases and felt-gender score was not a significant predictor on its own for any white or gray matter regions examined. Overall, these findings demonstrate that at ages 9-11 years-old, sex accounts for a small proportion of variance in brain structure, while gender diversity is not directly associated with neurostructural diversity.

Sexual Orientation and Disclosure of Suicidal Thoughts Before Suicide Mortality.

INTRODUCTION: Disclosure of suicidal thoughts and behaviors represents an opportunity to intervene before suicide mortality, representing a cornerstone for suicide prevention. Sexual minority (e.g., lesbian/gay, bisexual) people experience sharply elevated suicide risk, yet there is scant research on patterns of disclosure of suicidal thoughts and behaviors before suicide that might uncover missed opportunities for suicide prevention. Thus, authors leveraged postmortem suicide data to evaluate associations among sexual orientation, sex, and disclosure of suicidal thoughts and behaviors in the month preceding death. METHODS: Data on suicides from the 2013-2019 National Violent Death Reporting System (N=155,516) were classified for sexual orientation and denoted disclosure of suicidal thoughts and behaviors and to whom suicidal thoughts and behaviors were disclosed in the month preceding death. Logistic regression models stratified by sex and adjusted for sociodemographic covariates assessed the associations between sexual orientation and suicidal thoughts and behaviors disclosure. Analyses were conducted from October 2022 to February 2023. RESULTS: Among females, sexual minority decedents were 65% more likely to disclose suicidal thoughts and behaviors than heterosexual decedents (95% CI=37%, 99%, p<0.001). No difference in suicidal thoughts and behaviors disclosure was observed between sexual minority and heterosexual men. Of decedents who disclosed suicidal thoughts and behaviors, one in five sexual minority decedents disclosed to a friend/colleague, whereas fewer than 5% disclosed to a healthcare professional. Among sexual minority females, younger age, intimate partner problems, and physical health problems were positively associated with disclosing suicidal thoughts and behaviors. CONCLUSIONS: These findings suggest that reducing suicide mortality in sexual minority populations will require considering contexts beyond the healthcare system, including engaging peer networks. Gatekeeper training for suicide prevention may be an especially promising approach for reducing suicide among sexual minority women.

Barriers and Facilitators to Gender-affirming Hormone Therapy in the Veterans Health Administration.

BACKGROUND: In 2011, the Veterans Health Administration (VHA) established a policy for the delivery of transition-related services, including gender-affirming hormone therapy (GAHT), for transgender and gender diverse (TGD) patients. In the decade since this policy's implementation, limited research has investigated barriers and facilitators of VHA's provision of this evidence-based therapy that can improve life satisfaction among TGD patients. PURPOSE: This study provides a qualitative summary of barriers and facilitators to GAHT at the individual (e.g., knowledge, coping mechanisms), interpersonal (e.g., interactions with other individuals or groups), and structural (e.g., gender norms, policies) levels. METHODS: Transgender and gender diverse patients (n = 30) and VHA healthcare providers (n = 22) completed semi-structured, in-depth interviews in 2019 regarding barriers and facilitators to GAHT access and recommendations for overcoming perceived barriers. Two analysts used content analysis to code and analyze transcribed interview data and employed the Sexual and Gender Minority Health Disparities Research Framework to organize themes into multiple levels. RESULTS: Facilitators included having GAHT offered through primary care or TGD specialty clinics and knowledgeable providers, with patients adding supportive social networks and self-advocacy. Several barriers were identified, including a lack of providers trained or willing to prescribe GAHT, patient dissatisfaction with prescribing practices, and anticipated or enacted stigma. To overcome barriers, participants recommended increasing provider capacity, providing opportunities for continual education, and enhancing communication around VHA policy and training. CONCLUSIONS: Multi-level system improvements within and outside the VHA are needed to ensure equitable and efficient access to GAHT.

Veterans Health Administration (VHA) policy mandates the provision of several gender-affirming health services, including gender-affirming hormone therapy (GAHT). GAHT can improve quality of life among transgender and gender diverse (TGD) patients by more closely aligning their physical self with their internal sense of self. We conducted interviews with 30 TGD patients and 22 VHA healthcare providers to gather their perspectives on barriers and facilitators to GAHT in the VHA. Findings revealed that facilitators of GAHT access included information sharing through social networks and relying on providers in primary care or specialized TGD health clinics for prescribing, while barriers included a shortage of trained providers and patient dissatisfaction with prescribing practices. Anticipating or experiencing stigma from providers and other patients was also identified as a barrier to GAHT. To overcome barriers, participants recommended increasing provider capacity, offering continuous education on GAHT prescribing, and improving communication about VHA policies and training. Comprehensive improvements at various levels, both within and outside the VHA, are necessary to improve access to this important evidence-based treatment for TGD patients.

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.

Opioid and High-Risk Prescribing Among Racial and Ethnic Minority Veterans.

INTRODUCTION: The purpose of this study is to compare opioid prescribing and high-risk prescribing by race and ethnicity in a national cohort of U.S. veterans. METHODS: A cross-sectional analysis of veteran characteristics and healthcare use was performed on electronic health record data for 2018 Veterans Health Administration users and enrollees in 2022. RESULTS: Overall, 14.8% received an opioid prescription. The adjusted odds of being prescribed an opioid were lower for all race/ethnicity groups than for non-Hispanic White veterans, except for non-Hispanic multiracial (AOR=1.03; 95% CI=0.999, 1.05) and non-Hispanic American Indian/Alaska Native (AOR=1.06; 95% CI=1.03, 1.09) veterans. The odds of any day of overlapping opioid prescriptions (i.e., opioid overlap) were lower for all race/ethnicity groups than for the non-Hispanic White group, except for the non-Hispanic American Indian/Alaska Native group (AOR=1.01; 95% CI=0.96, 1.07). Similarly, all race/ethnicity groups had lower odds of any day of daily dose >120 morphine milligram equivalents than the non-Hispanic White group, except for the non-Hispanic multiracial (AOR=0.96; 95% CI=0.87, 1.07) and non-Hispanic American Indian/Alaska Native (AOR=1.06; 95% CI=0.96, 1.17) groups. Non-Hispanic Asian veterans had the lowest odds for any day of opioid overlap (AOR=0.54; 95% CI=0.50, 0.57) and daily dose >120 morphine milligram equivalents (AOR=0.43; 95% CI=0.36, 0.52). For any day of opioid-benzodiazepine overlap, all races/ethnicities had lower odds than non-Hispanic White. Non-Hispanic Black/African American (AOR=0.71; 95% CI=0.70, 0.72) and non-Hispanic Asian (AOR=0.73; 95% CI=0.68, 0.77) veterans had the lowest odds of any day of opioid-benzodiazepine overlap. CONCLUSIONS: Non-Hispanic White and non-Hispanic American Indian/Alaska Native veterans had the greatest likelihood to receive an opioid prescription. When an opioid was prescribed, high-risk prescribing was more common in White and American Indian/Alaska Native veterans than in all other racial/ethnic groups. As the nation's largest integrated healthcare system, the Veterans Health Administration can develop and test interventions to achieve health equity for patients experiencing pain.

Insights for Conducting Large-Scale Surveys with Veterans Who Have Experienced Homelessness.

Surveys of underserved patient populations are needed to guide quality improvement efforts but are challenging to implement. The goal of this study was to describe recruitment and response to a national survey of Veterans with homeless experience (VHE). We randomly selected 14,340 potential participants from 26 U.S. Department of Veterans Affairs (VA) facilities. A survey contract organization verified/updated addresses from VA administrative data with a commercial address database, then attempted to recruit VHE through 4 mailings, telephone follow-up, and a $10 incentive. We used mixed-effects logistic regressions to test for differences in survey response by patient characteristics. The response rate was 40.2% (n=5,766). Addresses from VA data elicited a higher response rate than addresses from commercial sources (46.9% vs 31.2%, p<.001). Residential addresses elicited a higher response rate than business addresses (43.8% vs 26.2%, p<.001). Compared to non-respondents, respondents were older, less likely to have mental health, drug, or alcohol conditions, and had fewer VA housing and emergency service visits. Collectively, our results indicated a national mailed survey approach is feasible and successful for reaching VA patients who have recently experienced homelessness. These findings offer insight into how health systems can obtain perspectives of socially disadvantaged groups.

Relationship of social determinants of health with symptom severity among Veterans and non-Veterans with probable posttraumatic stress disorder or depression.

PURPOSE: Social determinants of health (SDoH) refer to the conditions in the environments in which people live that affect health outcomes and risks. SDoH may provide proximal, actionable targets for interventions. This study examined how SDoH are associated with posttraumatic stress disorder (PTSD) and depression symptoms among Veterans and non-Veterans with probable PTSD or depression. METHODS: Four multiple regressions were conducted. Two multiple regressions with Veterans examined the impact of SDoH on PTSD symptoms and on depression symptoms. Two multiple regressions with non-Veterans examined the impact of SDoH on PTSD symptoms and on depression symptoms. Independent variables included demographic characteristics, adverse experiences (in childhood and adulthood), and SDoH (discrimination, education, employment, economic instability, homelessness, justice involvement, and social support). Correlates that were statistically significant (p < 0.05) and clinically meaningful (rpart >|0.10|) were interpreted. RESULTS: For Veterans, lower social support (rpart = - 0.14) and unemployment (rpart = 0.12) were associated with greater PTSD symptoms. Among non-Veterans, greater economic instability (rpart = 0.19) was associated with greater PTSD symptoms. In the depression models, lower social support (rpart = - 0.23) and greater economic instability (rpart = 0.12) were associated with greater depression for Veterans, while only lower social support was associated with greater depression for non-Veterans (rpart = - 0.14). CONCLUSION: Among Veterans and non-Veterans with probable PTSD or depression, SDoH were associated with PTSD and depression symptoms, particularly social support, economic instability, and employment. Beyond direct treatment of mental health symptoms, addressing social support and economic factors such as instability and employment in the context of PTSD and depression are potential intervention targets that would benefit from future research.

Adverse Childhood Experiences Among Lesbian, Gay, Bisexual, and Queer Veterans.

INTRODUCTION: Adverse childhood experiences portend vulnerability to numerous physical and mental health concerns across the lifespan. Separate bodies of work suggest that both lesbian, gay, bisexual, and queer individuals and military veterans are more likely to report adverse childhood experiences than their non-lesbian, gay, bisexual, and queer and non-veteran counterparts, respectively. Although lesbian, gay, bisexual, and queer veterans experience health disparities compared with non-lesbian, gay, bisexual, and queer veterans, the prevalence of adverse childhood experiences among individuals with both lesbian, gay, bisexual, and queer and veteran identities is yet unknown. METHODS: Participants were U.S. military veterans (N=14,461) from 18 states that included Sexual Orientation and Gender Identity and adverse childhood experiences modules in the 2019 and 2020 Behavioral Risk Factor Surveillance System survey. Multivariable logistic regression was used to determine the odds of adverse childhood experiences reported by lesbian, gay, bisexual, and queer veterans compared with those reported by non-lesbian, gay, bisexual, and queer veterans. Analyses were conducted in 2023. RESULTS: While accounting for sociodemographic factors, lesbian, gay, bisexual, and queer veterans were more likely to report living with someone who experienced mental illness (AOR=2.17, 95% CI=1.35, 3.51), emotional abuse (AOR=1.58, 95% CI=1.11, 2.25), and sexual abuse (AOR=2.21, 95% CI=1.29, 3.76) than non-lesbian, gay, bisexual, and queer veterans. CONCLUSIONS: With past work indicating that childhood abuse experiences are especially predictive of adverse health in adulthood, these findings suggest that a higher prevalence of adverse childhood experiences among lesbian, gay, bisexual, and queer veterans may contribute to health disparities among this population.

Alcohol use and treatment utilization in a national sample of veterans and nonveterans.

BACKGROUND: Research comparing prevalence of alcohol use problems and alcohol treatment utilization between veterans and nonveterans is lacking. Whether predictors of alcohol use problems and alcohol treatment utilization differ in veterans vs. nonveterans is also unclear. METHODS: Using survey data from national samples of post-9/11 veterans and nonveterans (N = 17,298; 13,451 veterans, 3847 nonveterans), we investigated associations between veteran status and 1) alcohol consumption, 2) need for intensive alcohol treatment, and 3) past-year and lifetime alcohol treatment utilization. We also investigated associations between predictors and these three outcomes in separate models for veterans and nonveterans. Predictors included age, gender, racial/ethnic identity, sexual orientation, marital status, education, health coverage, financial difficulty, social support, adverse childhood experiences (ACEs), and adult sexual trauma. RESULTS: Population weighted regression models demonstrated that veterans reported modestly higher alcohol consumption than nonveterans, but were not significantly more likely to need intensive alcohol treatment. Veterans and nonveterans did not differ in past-year alcohol treatment utilization, but veterans were 2.8 times more likely to utilize lifetime treatment than nonveterans. We found several differences between veterans and nonveterans in associations between predictors and outcomes. For veterans, being male, having higher financial difficulty, and lower social support were associated with need for intensive treatment, but for nonveterans, only ACEs were associated with need for intensive treatment. CONCLUSIONS: Veterans may benefit from interventions with social and financial support to reduce alcohol problems. These findings can help to identify veterans and nonveterans who are more likely to need treatment.