Background Research indicates that tailored programming for sexual and gender minority (SGM; e.g., lesbian, gay, bisexual, transgender, queer) people, compared to non-tailored programming, is effective for reducing the disproportionate health burden SGM people experience relative to the general population. However, the availability of SGM-tailored programming is often over-reported and inconsistent across behavioral health (i.e., substance use and mental health) facilities in the United States (U.S.). Methods Using panel analysis, the National Survey of Substance Abuse Treatment Services (N-SSATS), and the National Mental Health Services Survey (N-MHSS), this study examines structural stigma and government funding as two structural determinants affecting the availability of SGM-tailored programming in the U.S. Results Results indicated that from 2010 to 2020, reductions in structural stigma (i.e., increases in state-level supportive SGM policies) were positively associated with increases in the proportion of substance use treatment facilities offering SGM-tailored programming. This effect was significant after controlling for over-reporting of SGM-tailored programming and time- and state-specific heterogeneity. On average, the effect of reduced structural stigma resulted in approximately two new SGM-tailored programs in the short term and about 31 new SGM-tailored programs in the long term across U.S. substance use treatment facilities. Structural stigma did not predict the availability of SGM-tailored programming in mental health treatment facilities. Government funding was not significant in either data set. However, without correcting for over-reporting, government funding became a significant predictor of the availability of SGM-tailored programming at substance use treatment facilities. Conclusions Because SGM-tailored programming facilitates access to healthcare and the current study found longitudinal associations between structural stigma and the availability of SGM-tailored programming in substance use treatment facilities, our findings support claims that reducing structural stigma increases access to behavioral health treatment specifically and healthcare generally among SGM people. This study’s findings also indicate the importance of correcting for over-reporting of SGM-tailored programming, raising concerns about how respondents perceive the N-SSATS and N-MHSS questions about SGM-tailored programming. Implications for future research using the N-SSATS and N-MHSS data and for public health policy are discussed.
Psychosocial stressors (e.g., minority stressors, trauma exposure) profoundly impact sexual minority women’s (SMW’s) risk of alcohol and other drug (AOD) use. However, research has not examined whether there are distinct typologies (i.e., patterns) of psychosocial stressors and whether these vary based on sociodemographic characteristics or are differentially associated with AOD outcomes (e.g., alcohol dependence) among SMW. This study aimed to identify latent classes of SMW reporting distinct typologies of psychosocial stressors and examine predictors and outcomes of latent classes of psychosocial stressors among SMW. Participants included a community sample of 602 SMW ( Mage = 39.9, SD = 14.0; 74.0% lesbian; 37.4% White, 36.6% Black, 22.3% Latinx; 26.6% annual income ≤$14,999). Latent class analysis was used to identify typologies of psychosocial stressors. Regression analyses were employed to examine sociodemographic predictors and AOD outcomes of class membership. Three classes of psychosocial stressors emerged. Participants in Class 1 were likely to report relatively low adversity. SMW in Class 2, who reported childhood physical abuse (CPA), severe childhood sexual abuse, and adult physical assault, were vulnerable to discrimination and stigma consciousness. A distinct subgroup of SMW (Class 3) was at heightened risk of CPA, adult sexual assault (ASA), and stigma consciousness. Older SMW, Black SMW, and SMW with lower social support were more likely to be in classes characterized by higher adversity. Older SMW were at disproportionate risk of CPA and ASA. Different combinations of psychosocial stressors were uniquely associated with AOD outcomes. Findings underscore the importance of considering within-group heterogeneity in SMW’s differential risk of psychosocial stressors and AOD outcomes. Routine screening of psychosocial stressors across several dimensions, brief interventions targeting AOD outcomes, and policies mitigating structural drivers of SMW’s increased risk of trauma and minority stressors may be especially important for older SMW, Black SMW, and SMW who lack social support.
Past research suggests that attachment insecurity is associated with negative responses to support receipt. However, we propose that social support is evaluated more favorably when it is tailored to a support recipient’s relationship-specific (RS) attachment toward their support provider. In three pre-registered studies, we tested whether people have a relative preference for support strategies that match their RS attachment needs. Consistent with hypotheses, we found that greater RS attachment anxiety was associated with a stronger relative preference for emotion-laden support that affirms one’s relationship (safe strategies) over pragmatic support that de-emphasizes the emotional significance of stressors (soft strategies). Also consistent with hypotheses, greater RS attachment avoidance was associated with a stronger preference for soft strategies over safe strategies, especially when RS attachment anxiety was low. We conclude that people prefer social support matched to their RS attachment orientations and provide recommendations for future research.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.