The power (and limits) of the therapeutic relationship: Working alliance, psychiatric distress, and the role of trait emotional intelligence.

OBJECTIVE: The working alliance between therapists and patients is an important factor in the psychotherapy processes. Trait emotional intelligence has also been found to be malleable in treatment and to play a significant role in patient outcomes. The present study investigated how the relationship between measured working alliance and patient symptoms may differ depending on changes in patient trait emotional intelligence capacities. METHODS: One hundred twenty-nine adults at a community mental health clinic completed self-report measures at the beginning of treatment, as well as 8 months into treatment. Hierarchical linear regressions were computed to assess the interaction of working alliance and trait emotional intelligence scores on patient symptom scores. Simple slope tests were used to probe significant interactions. RESULTS: Trait emotional intelligence served as a significant moderator on the relationship between working alliance and patient symptoms. Specifically, the relationship between working alliance and patient symptoms was only significant for participants who reported an improvement in trait emotional intelligence over the course of treatment. CONCLUSION: Results demonstrate that the impact of working alliance on patient symptom outcomes depended on patient improvement in trait emotional intelligence capacities. Such findings emphasize the importance of investigating the nuanced individual factors that impact the ways in which working alliance relates to treatment outcomes.

Education is protective against depressive symptoms in the context of COVID-19.

OBJECTIVE: This study assessed current education stage (ie, undergraduate, graduate) as protective against depressive symptoms among a low socioeconomic status (SES) student population in a public university, in the context of COVID-19-related stressors. PARTICIPANTS: Participants were students at The City University of New York (CUNY) during the Spring 2020. METHODS: Demographic data, symptom severity, and current educational stage were collected via an online university-wide survey between April 8, 2020 and May 2, 2020. RESULTS: The prevalence of probable depression was lower amongst persons who reported being currently in a more advanced educational stage compared to people currently in a lower educational stage. COVID-19-related stressor exposure was the largest predictor of depressive symptoms, followed by demographics and current education stage. CONCLUSIONS: Current education stage is related to depressive symptoms during COVID-19. Pandemic-related educational disruptions and shifts to remote learning may limit educational achievement for low-SES student populations creating further threats to these students' health.

Depression and Anxiety During the COVID-19 Pandemic in an Urban, Low-Income Public University Sample.

Mental health disparities in the aftermath of national disasters and the protective role of socioeconomic status are both well documented. We assessed the prevalence of depression and anxiety symptoms among underresourced public university students during the COVID-19 pandemic in New York City. Between April 8, 2020, and May 2, 2020, adult students (N = 1,821) across the CUNY system completed an online survey examining COVID-19-related stressors and mental health and sociodemographic factors. Using multivariable logistical regression to assess the association between COVID-19-related stressors and depression and anxiety symptoms, we found a high prevalence and severity of depression and anxiety symptoms. We also observed that more exposure to COVID-19-related stressors was associated with increased depressive (27.0%, 41.4%, and 63.1% for low-, medium-, and high-level stressors, respectively) and anxiety symptoms (19.3%, 34.6%, 52.2%). In addition, the degree of exposure to COVID-19-related stressors served as an important predictor of depression and anxiety symptoms. Compared to high levels of stressors, the odds of depression were 0.2, 95% CI [0.2, 0.3] for low- and 0.4, 95% CI [0.3, 0.5] for medium-level stressors; for anxiety, the odds were 0.2, 95% CI [0.2, 0.3] for low and 0.05, 95% CI [0.4, 0.6] for medium stressors. Finally, household savings of less than $5,000 increased the risk of anxiety but not depression symptoms, OR = 1.3, 95% CI [1.0,1.6]. Together, these findings tell a devastating story of psychological distress among students from lower socioeconomic groups living in the COVID-19 epicenter of the U.S. pandemic.