13 research outputs found

    Positive and Negative Self-Conscious Emotion and Transmission Risk Following HIV Diagnosis.

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    While negative emotions are associated with risk behaviors and risk avoidance among people with HIV, emerging evidence indicates that negative self-conscious emotions, those evoked by self-reflection or self-evaluation (e.g., shame, guilt, and embarrassment), may differentially influence health-risk behaviors by producing avoidance or, conversely, pro-social behaviors. Positive emotions are associated with beneficial health behaviors, and may account for inconsistent findings related to negative self-conscious emotions. Using multinomial logistic regression, we tested whether positive emotion moderated the relationships between negative emotion and negative self-conscious emotions and level of condomless sex risk: (1) seroconcordant; (2) serodiscordant with undetectable viral load; and (3) serodiscordant with detectable viral load [potentially amplified transmission (PAT)] among people recently diagnosed with HIV (n = 276). While positive emotion did not moderate the relationship between negative emotion and condomless sex, it did moderate the relationship between negative self-conscious emotion and PAT (AOR = 0.60; 95% CI 0.41, 0.87); high negative self-conscious and high positive emotion were associated with lower PAT risk. Acknowledgment of both positive and negative self-conscious emotion may reduce transmission risk behavior among people with HIV

    Differences in mental health symptom severity and care engagement among transgender and gender diverse individuals: Findings from a large community health center.

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    Mental health disparities among transgender and gender diverse (TGD) populations have been documented. However, few studies have assessed differences in mental health symptom severity, substance use behavior severity, and engagement in care across TGD subgroups. Using data from the electronic health record of a community health center specializing in sexual and gender minority health, we compared the (1) severity of self-reported depression, anxiety, alcohol use, and other substance use symptoms; (2) likelihood of meeting clinical thresholds for these disorders; and (3) number of behavioral health and substance use appointments attended among cisgender, transgender, and non-binary patients. Participants were 29,988 patients aged ≥18 who attended a medical appointment between 2015 and 2018. Depression symptom severity (F = 200.6, p < .001), anxiety symptom severity (F = 102.8, p < .001), alcohol use (F = 58.8, p < .001), and substance use (F = 49.6, p < .001) differed significantly by gender. Relative to cisgender and transgender individuals, non-binary individuals are at elevated risk for depression, anxiety, and substance use disorders. Gender was also associated with differences in the number of behavioral health (χ2 = 51.5, p < .001) and substance use appointments (χ2 = 39.3, p < .001) attended. Engagement in treatment among certain gender groups is poor; cisgender women and non-binary patients assigned male at birth were the least likely to have attended a behavioral health appointment, whereas transgender men and cisgender women had attended the lowest number of substance use appointments. These data demonstrate the importance of (1) assessing gender diversity and (2) addressing the barriers that prevent TGD patients from receiving affirming care

    Importance of substance use and violence in psychosocial syndemics among women with and at-risk for HIV

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    Women in the U.S. continue to be affected by HIV through heterosexual contact. Sexual risk behaviors among women have been associated with a syndemic, or a mutually reinforcing set of conditions, including childhood sexual abuse, depression, substance use, violence and financial hardship. Baseline data from a cohort of women with and at-risk for HIV (N=620; 52% HIV+), were analyzed with Poisson regression to assess evidence for additive, independent and interactive effects among syndemic conditions in relation to reported sexual risk behaviors (e.g., unprotected and transactional sex) over the past 6 months, controlling for age and HIV-status. The number of syndemic conditions was incrementally associated with more types of sexual risk behaviors. For example, women with all five syndemic conditions reported 72% more types of risk behaviors over 6 months, as compared to women without any syndemic conditions. Compared to women with no syndemic conditions, women with three syndemic conditions reported 34% more and women with one syndemic condition reported 13% more types of risk behaviors. Endorsing substance use in the past 6 months, reporting childhood sexual abuse, and experiencing violence as an adult were independently associated with 49%, 12%, and 8% more types of risk behaviors respectively compared to women without these conditions. Endorsing both substance use and violence was associated with 27% more types of risk behaviors. These associations were not moderated by HIV-status. Understanding specific relationships and interactions are needed to more effectively prioritize limited resources in addressing the psychosocial syndemic associated with sexual risk behavior among women with and at-risk for HIV. Our results identify interrelated psychosocial factors that could be targeted by intervention studies aiming to reduce high-risk sex in this population

    Co-occurring psychosocial problems predict HIV status and increased health care costs and utilization among sexual minority men

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    Sexual orientation related health disparities are well documented. Sexual minority men appear to be at risk for mental health problems due to the stress they experience in establishing and maintaining a minority sexual identity. These mental health issues may combine synergistically and lead to higher medical costs to society. We examine whether sexual minority specific syndemic indicators were associated with higher health care costs, health care utilization, or the risk of being HIV-infected. Health care consumers at a community health center (N = 1211) completed a brief screening questionnaire collected over 12 months. Self-reported data were linked with participants' clinical billing records. Adjusted logistic regression models identified that four syndemic indicators (suicidality, substance use, childhood sexual abuse, and intimate partner violence) were each significantly related to each other. Multiple syndemics significantly predicted higher medical care utilization and cost, and were associated with 2.5 times the risk of being HIV-infected (OR 2.49, 95% CI 1.45-4.25). Syndemic indicators did not significantly predict the number of mental health visits or costs per patient. These results confirm and extend earlier findings by relating syndemics to health services use and costs for sexual minority men
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