Persons living with HIV (PLWH) are significantly more likely to die by suicide compared to the general population. This is the first study to examine the impact of posttraumatic stress disorder (PTSD), major depressive disorder (MDD), insomnia, and substance use disorders on suicidal ideation/behavior among PLWH using electronic medical record (EMR) data. We also evaluated the mutual influence of interactions between PTSD and substance use disorders on suicide risk, consistent with the substance abuse, violence exposure, and HIV/AIDS “SAVA” syndemic model. Participants (n = 2336) were HIV+ individuals recruited through the Center for AIDS Research (CFAR). Participants provided informed consent for extraction of their EMR. As hypothesized, univariate analyses revealed that PTSD, MDD, insomnia, alcohol and other substance use disorders (cocaine abuse and cocaine dependence, opioid abuse and dependence, cannabis abuse, other psychoactive substance abuse and dependence, and polysubstance use disorder) were each positively associated with suicidal ideation/behavior. Also as hypothesized, a multivariable analysis found that alcohol and cocaine dependence, MDD, and PTSD were significant predictors of suicidal ideation/behavior. Contrary to hypotheses, none of the interactions between PTSD and substance use disorders were significantly associated with suicidal ideation/behavior.

Background: Prior research has demonstrated the efficacy of internet-based cognitive behavioral therapy (ICBT) for social anxiety disorder (SAD). However, it is unclear how shame influences the efficacy of this treatment. Objective: This study aimed to investigate the role shame played in the ICBT treatment process for participants with SAD. Methods: A total of 104 Chinese participants (73 females; age: mean 24.92, SD 4.59 years) were randomly assigned to self-help ICBT, guided ICBT, or wait list control groups. For the guided ICBT group, half of the participants were assigned to the group at a time due to resource constraints. This led to a time difference among the three groups. Participants were assessed before and immediately after the intervention using the Social Interaction Anxiety Scale (SIAS), Social Phobia Scale (SPS), and Experience of Shame Scale (ESS). Results: Participants’ social anxiety symptoms (self-help: differences between pre- and posttreatment SIAS=−12.71; Cohen d=1.01; 95% CI 9.08 to 16.32; P<.001 and differences between pre- and posttreatment SPS=11.13; Cohen d=0.89; 95% CI 6.98 to 15.28; P<.001; guided: SIAS=19.45; Cohen d=1.20; 95% CI 14.67 to 24.24; P<.001 and SPS=13.45; Cohen d=0.96; 95% CI 8.26 to 18.64; P<.001) and shame proneness (self-help: differences between pre- and posttreatment ESS=7.34; Cohen d=0.75; 95% CI 3.99 to 10.69; P<.001 and guided: differences between pre- and posttreatment ESS=9.97; Cohen d=0.88; 95% CI 5.36 to 14.57; P<.001) in both the self-help and guided ICBT groups reduced significantly after treatment, with no significant differences between the two intervention groups. Across all the ICBT sessions, the only significant predictors of reductions in shame proneness were the average number of words participants wrote in the exposure module (β=.222; SE 0.175; t96=2.317; P=.02) and gender (β=−.33; SE 0.002; t77=−3.13; P=.002). We also found a mediation effect, wherein reductions in shame fully mediated the relationship between the average number of words participants wrote in the exposure module and reductions in social anxiety symptoms (SIAS: β=−.0049; SE 0.0016; 95% CI −0.0085 to −0.0019 and SPS: β=−.0039; SE 0.0015; 95% CI −0.0075 to −0.0012). Conclusions: The findings of this study suggest that participants’ engagement in the exposure module in ICBT alleviates social anxiety symptoms by reducing the levels of shame proneness. Our study provides a new perspective for understanding the role of shame in the treatment of social anxiety. The possible mechanisms of the mediation effect and clinical implications are discussed. Trial Registration: Chinese Clinical Trial Registry ChiCTR1900021952; http://www.chictr.org.cn/showproj.aspx?proj=36977

Artificial intelligence (AI) can identify patients at highest risk for suicide using medical records, but an algorithm is useful only if it is accurately interpreted. This study sought to learn how clinicians interpret information from AI algorithms.

Much research has examined the interplay of depression and self-esteem in an effort to determine whether depression causes self-esteem (scar model), or vice versa (vulnerability model). In the current longitudinal study (N = 2,318), we tested whether neuroticism served as a confounding variable that accounted for the association of depression and self-esteem, using both cross-lag models and latent growth models. We found neuroticism accounted for the majority of covariance between depression and self-esteem, to the degree that the scar and vulnerability models appear to be inadequate explanations for the relation between depression and self-esteem. Alternatively, neuroticism appears to be a viable cause of both depression and self-esteem and could explain prior work linking the two constructs over time.

Persons living with HIV (PLWH) are significantly more likely to meet criteria for a psychiatric disorder compared to the general population. To our knowledge there are no prior studies that report rates of psychiatric diagnosis documentation in electronic medical records (EMRs) of PLWH. The goal for this study was to report the rates of a variety of psychiatric diagnoses among PLWH in electronic medical records. Participants (n = 2,336) were enrolled in the Center for AIDS Research (CFAR) Longitudinal Database study at the University of Pennsylvania, Philadelphia, PA. Diagnostic codes were extracted from the EMR for depressive disorders, alcohol and substance use disorders, PTSD, sleep disorders, and adjustment disorders and were compared to rates from national epidemiological studies. Rates of Major Depressive Disorder in the EMR were comparable to prior reports on HIV-infected samples. In contrast, rates of PTSD, substance use disorders, alcohol use disorders, adjustment disorders and insomnia from the EMR were all markedly lower compared to national estimates for HIV-infected samples. While clinicians appropriately documented evidence of Major Depressive Disorder, other psychiatric comorbidities were largely overlooked. These findings suggest a potential bias in how clinicians either detect or document psychiatric disorders in PLWH.