Adverse Childhood Experiences, Substance Use, and Self-Reported Substance Use Problems Among Sexual and Gender Diverse Individuals: Moderation by History of Mental Illness.

Recent research has highlighted the alarmingly high rates at which sexual and gender diverse (SGD) individuals experience Adverse Childhood Experiences (ACE). ACE, in turn, are strongly related to mental illness-an important correlate of substance use. The present study explores whether mental illness moderates the relationship between ACE and substance use outcomes among SGD adults. As part of a larger community-based participatory research study, we assessed ACE, self-reported mental illness, and past-year substance use and misuse among a large and diverse sample of SGD community members in South Central Texas (n = 1,282). Multivariate logistic regression models were used to assess relationships between ACE, mental illness, substance use, and substance misuse (DAST > 3). Interaction terms between ACE and history of mental illness were created to assess moderation effects. Cumulative ACE scores were associated with a significantly higher odds of self-reported past year substance use (AOR = 1.43, 95% CI = 1.34-1.54) and substance misuse (AOR = 1.21, 95% CI = 1.11-1.32). History of mental illness was associated with an increased odds of self-reported substance misuse (AOR = 2.07, 95% CI = 1.20-3.55), but not past year substance use. There was a significant interaction of ACE and history of mental illness on the odds of past year substance use (AOR = 0.78, 95% CI = 0.69-0.89), but not for substance misuse. These results provide support for theoretical models linking ACE, mental illness, and substance use among SGD adults. Longitudinal research designs are needed to address temporality of outcomes and test mediation models of trauma, mental illness, and substance use. Future directions for prevention and intervention are discussed. Supplementary Information: The online version contains supplementary material available at 10.1007/s40653-023-00560-y.

Understanding the Experiences of Latinx LGBTQ Texans at the Beginning of the COVID-19 Pandemic.

Marginalized communities have been disproportionately affected by COVID-19, including both racial/ethnic minority and sexual minority populations. To date, there has been little research examining the impact of the COVID-19 pandemic at the intersections of marginalized identities. Furthermore, available national data on COVID-19 outcomes may obscure our understanding of region-specific outcomes, particularly in the U.S. South. Using an intersectional approach, we explore differences in worries over COVID-19, preventative behaviors, and COVID-19 outcomes in the early months of the pandemic in a diverse sample of LGBTQ people (N = 1076) living in Texas. Our findings indicated that LGBTQ Latinx people in Texas reported more COVID-19 related worries and adverse outcomes than non-Latinx LGBTQ people. These findings are in line with previous research that found that the increased risk to Latinx and LGBTQ populations in public health crises is often overlooked and can be attributed to many factors such as socioeconomic status, occupational propensity, disparities in physical health, and barriers to healthcare access. Furthermore, our findings suggest the necessity of utilizing an intersectional approach when examining the disproportionate burden marginalized communities face in public health crises.

Development and psychometric properties of the sexual and gender minority adverse childhood experiences (SGM-ACEs): Effect on sexual and gender minority adult mental health.

BACKGROUND: Research has consistently shown a relationship between adverse childhood experiences (ACEs) and poor mental health outcomes, and recent research shows that sexual and gender minority (SGM) individuals are at increased risk for ACEs. Moreover, SGM individuals may experience unique ACEs. Increased risk for exposure to traditional and SGM-specific ACEs are related to heterosexism. OBJECTIVE: The purpose of this paper is two-fold. First, establish the need for an SGM specific ACEs framework that accounts for exposure to heterosexism. Second, assess the psychometric properties of the SGM-ACEs scale. PARTICIPANTS AND SETTING: Data were collected using a multifaceted sampling strategy. In total, 1725 self-identified SGM Texans completed an online survey about ACEs, SGM-ACEs, mental health diagnoses, and demographic characteristics. RESULTS: The most commonly reported SGM-ACEs were seeing or hearing of other SGM being physical harmed (71.2%), being bullied in school for being SGM (67.9%), and hearing religious leaders say homophobic, biphobic, or transphobic things (60.8%). The EFA showed that 7-items loaded onto a single factor and the CFA indicated a good model fit, with items showing a significant factor loading higher than 0.60. SGM-ACE showed adequate to good psychometric properties and predicted depression (AOR = 1.49, CI = 1.20, 1.86), anxiety (AOR = 1.61, CI = 1.25, 2.00), and PTSD (AOR = 1.97, CI = 1.47, 2.66), when controlling for ACEs and demographic factors. CONCLUSIONS: The 7-item SGM-ACEs measure is a psychometrically sound and unidimensional measure that can be quickly used to assess common adverse childhood experiences related to heterosexism.

Protective factors in preventing delinquency: Caregiver support, caregiver monitoring, and school engagement.

Youth who are potential victims of maltreatment are more likely to commit delinquent acts, which may lead to incarceration. Applying a resiliency framework may shift the focus to positive adaptation. For instance, protective mechanisms promote social, academic, and conduct competencies for at-risk youth. This analysis estimated the protective effects of caregiver perceived support, and caregiver monitoring, and school engagement. It used delinquency as a measure of conduct competence. A latent variable structural equation model was developed using a sample of 1054 youth aged 11-17 who were involved with Child Protective Services. Participants were drawn from the second National Survey for Child and Adolescent Well-Being. Results indicated that perceived support and school engagement reduced minor offenses, and the latter additionally reduced crimes against persons and property. Perceived caregiver monitoring, in contrast, increased minor offenses and crimes against persons. Generally, delinquent acts were associated with lower levels of the protective mechanisms, which, in turn, led to future delinquent acts. Results highlight the important role schools play as a resource for at-risk youth. Additionally, caregiver monitoring may better serve as a protective mechanism when youth voluntarily offer information. Strengths and limitations are discussed.

How often were you traumatized? Reconceptualizing adverse childhood experiences for sexual and gender minorities.

INTRODUCTION: The manifold consequences of adverse childhood experiences (ACEs) are well-documented. Recent research has demonstrated that sexual and gender minorities (SGMs) typically encounter ACEs more often than cisgender heterosexual individuals. Given the higher exposure rate, the measurement of frequency of exposure to traumatic events may be relevant for SGMs. METHODS: We changed the response options of the ACEs index from dichotomous to a five-point Likert scale that described frequency of exposure. As part of a larger community-based participatory research study, the Likert ACEs measure was distributed to a large and diverse sample of SGM participants in San Antonio. RESULTS: A cross-validation design demonstrated that the Likert ACEs scores outperformed the traditional ACEs index in predicting self-reported anxiety and post-traumatic stress disorder. Half of the SGMs in this sample experienced 3 or more ACEs, compared to only 10% of Americans in a nationally representative sample. LIMITATIONS: These analyses were based on retrospective self-report data instead of structured clinical interviews. Since only the Likert ACEs was administered, we had to assume that any response other than "never" on Likert ACEs corresponded to "yes" on the ACEs Index. CONCLUSIONS: Future research may assess the utility of the Likert ACEs approach with other minoritized or intersectional populations. For clinical practitioners, these results suggest that a better way to measure ACEs for SGMs is to ask them how often they were exposed, rather than asking whether they were exposed.

Test of a clinical model of poor physical health and suicide: The role of depression, psychosocial stress, interpersonal conflict, and panic.

BACKGROUND: This study employed a structural equation model to examine the relationships between poor physical health, suicide, depression, psychosocial stress, interpersonal conflict, and panic. METHODS: The sample consisted of a large, archived set of mental health treatment-seeking adults who completed a behavioral outcome questionnaire prior to beginning treatment. RESULTS: Results supported the extant literature indicating that poor physical health, depression, psychosocial stress, interpersonal conflict, and panic impose increased risk for suicidal ideation, with depression demonstrating the highest risk for increased suicidal ideation. The results also supported the hypotheses that depression, psychosocial stress, interpersonal conflict, and panic would mediate the association between poor physical health and suicidal ideation. Although no a priori hypotheses were made regarding relationships among the 15 physical illnesses examined, results indicated that HIV/AIDS had the strongest correlation with depression and the weakest correlation with interpersonal conflict. LIMITATIONS: Firstly, the study sample was primarily Caucasian, limiting its generalizability. Secondly, causal inferences should be interpreted with caution, due to the quasi-experimental design. Thirdly, these data were self-reported, which create response biases since suicidal ideation is stigmatized. CONCLUSIONS: These findings highlight the importance of considering interpersonal factors as potential mediators in the relationship between poor physical health, mental illness, and suicide. Clinically, the impact of an active major depressive episode on an individual who is struggling with a serious physical illness may be strongly predictive of suicidal ideation.

Do Comorbid Oppositional Symptoms Predict ADHD Behavioral Treatment Outcomes?

Parent management training (PMT) is considered a best-practice for treating childhood ADHD. However, the magnitude of change in response to PMT differs across individuals. This study examined comorbid oppositional symptoms as a predictor of ADHD treatment outcomes. We predicted children with more severe baseline oppositionality would exhibit greater improvements in externalizing behaviors overall, including core ADHD symptoms. Participants consisted of 67 children aged 7-10 diagnosed with ADHD-Combined Type. Participants and their families received a manualized ten-session intervention, Family Skills Training for ADHD-Related Symptoms (Family STARS), combining PMT with a simultaneously occurring child skills training intervention. Pre- and post-treatment parent and teacher rating scales were collected to assess changes in ADHD and oppositional symptoms. Results demonstrated that children with more severe ratings of oppositional behaviors achieved commensurate ADHD symptom outcomes compared to those with less severe oppositionality. Implications are discussed with regard to the utilization of ADHD impairment-specific treatment targets.

A Hierarchical Rater Model for Longitudinal Data.

Research studies in psychology and education often seek to detect changes or growth in an outcome over a duration of time. This research provides a solution to those interested in estimating latent traits from psychological measures that rely on human raters. Rater effects potentially degrade the quality of scores in constructed response and performance assessments. We develop an extension of the hierarchical rater model (HRM), which yields estimates of latent traits that have been corrected for individual rater bias and variability, for ratings that come from longitudinal designs. The parameterization, called the longitudinal HRM (L-HRM), includes an autoregressive time series process to permit serial dependence between latent traits at adjacent timepoints, as well as a parameter for overall growth. We evaluate and demonstrate the feasibility and performance of the L-HRM using simulation studies. Parameter recovery results reveal predictable amounts and patterns of bias and error for most parameters across conditions. An application to ratings from a study of character strength demonstrates the model. We discuss limitations and future research directions to improve the L-HRM.