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.

Understanding the Mental Health Impact of the COVID-19 Pandemic Among Individuals With Chronic Illness.

People with chronic illnesses are vulnerable to stress and psychopathology during population-level disasters, as a subset of individuals with disabilities. We aimed to examine the relationships between chronic illness, cumulative and specific stressors, and probable depression, probable anxiety, and post-traumatic stress in an under-resourced urban population in New York City during the COVID-19 pandemic. Using cross-sectional survey data collected in April 2020, we utilized bivariate chi-square analyses and multivariable logistic regression models to estimate differences in and adjusted odds of stressor endorsement and diagnostic prevalence between people with and without chronic illness. We also assessed effect modification of the relationship between stressor exposure and psychopathology by chronic illness status. Compared to people without chronic illness, those who reported having a chronic illness experienced increased odds of probable depression, probable anxiety, and post-traumatic stress. They were also more likely to report high cumulative COVID-19-related stress exposure, death of someone close to them due to coronavirus or COVID-19, family problems, feeling alone, supply shortages, and financial problems. Chronic illness was found to be an effect modifier in the relationship between the death of someone close due to coronavirus or COVID-19 and probable depression and between household job loss and probable anxiety.

Correlates of long-COVID-19: the role of demographics, chronic illness, and psychiatric diagnosis in an urban sample.

Long-COVID-19 symptoms are an emerging public health issue. This study sought to investigate demographics, chronic illness, and probable psychiatric diagnoses as correlates for long-COVID-19 in an urban adult sample. Self-report Qualtrics surveys were sent to students across City University of New York (CUNY) campuses in New York City in Winter 2021-2022. Binary logistic regressions were used to assess the relation of a range of factors with endorsement of long-COVID-19. Results demonstrated that Latinx participants endorsed higher odds of long-COVID-19, as compared to non-Latinx white participants. Participants who endorsed having a prior chronic illness and those who met the cut-off for probable psychiatric diagnoses all endorsed higher odds of long-COVID-19. Long-COVID-19 may be more likely among specific subpopulations and among persons with other ongoing physical and mental illness.

Perceived Coping Mitigates Anxiety Symptoms in the Context of COVID-19 Stress in an Urban University Student Sample.

Perceived coping and its two subprocesses, trauma-focused coping (finding meaning in the details and memory of a potential trauma or stressor) and forward-focused coping (focusing on planning for the future) have been shown to be important in the context of potentially traumatic events. The COVID-19 pandemic and its associated stressors have negatively impacted population mental health, and preliminary investigations have demonstrated the importance of perceived abilities to cope during the pandemic. The current study sought to examine the potentially moderating role of each subprocess on the relationship between stress and anxiety symptoms in a low-income student sample during COVID-19 (N = 2364). We computed two hierarchical multiple linear regressions to assess for significant interactions between stress and perceived coping subprocess scores on anxiety outcomes. Our results demonstrated that both trauma-focused coping and forward-focused coping served as effect modifiers in the relationship between COVID-19related stress and anxiety. Such findings highlight the importance of interventions that incorporate both forms of coping for low-income students during a chronic stressor.

Examining the role of material and social assets on mental health in the context of COVID-19 among an urban public university sample.

OBJECTIVE: Material and social stressors are both well-documented contributors to the onset of psychiatric symptoms. This relationship has not yet been investigated within the context of the ongoing coronavirus disease 2019 (COVID-19) pandemic, and within low-income and racially/ethnically diverse urban student populations, who are facing increased stress. METHOD: Via an online survey, this study assessed material and social stressors and symptom endorsements for depression, anxiety, and posttraumatic stress (PTS), within a public university student sample at two time points, April 8 through May 2, 2020; n = 2,925; and July 9 through July 31, 2020; n = 1,073; during the pandemic. RESULTS: Multivariate regression analyses assessed the relationship between each diagnostic symptom category and stressor category scores. Analyses yielded stronger associations for total social stressor score and probable anxiety (ß = .695, SE = .046, p < .001 in April, ß = .730, SE = .085, p < .001 in July), probable depression (ß = .655, SE = .045, p < .001 in April, ß = .676, SE = .080, p < .001 in July) and probable PTS (ß = .587, SE = .045, p < .001 in April, ß = .687, SE = .083, p < .001 in July), compared with total material stressor scores, total material and social stressor scores. CONCLUSION: Such findings highlight the burden of both stressor types, but particularly social stress, on psychological health for underresourced students, and emphasize the need for targeted interventions that increase social assets. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

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.

The capacity to adapt: Documenting the relationship between stressors and probable depression, anxiety, and posttraumatic stress at two time points during the COVID-19 pandemic.

BACKGROUND: Psychological adaptability, or the reduction of psychiatric symptoms in the context of ongoing stressors, is well-documented. The present study assessed relationships between COVID-19 related stressors and depression, anxiety, and post-traumatic stress (PTS) during April and July 2020. METHODS: Prevalence of, and changes in, symptom severity levels in April vs. July were measured with ANOVA F-tests. Logistic regressions were used to assess the odds of probable diagnosis. RESULTS: Symptom distributions skewed lower in July, as compared to April for all three diagnostic categories. From April to July, prevalence of probable anxiety and depression decreased across all levels of stress, prevalence of PTS increased for high stress, and decreased for medium and low stress levels. In July, only high stress related to higher odds of probable diagnoses, as compared to April when both medium and high stress did. LIMITATIONS: Due to use of cross-sectional self-report data, the present findings could not establish causality between variables, and provide probable, rather than clinical, diagnoses. CONCLUSION: Findings emphasize adaptability phenomena during COVID-19 and highlight the nuanced impact of ongoing stress.

Risk factors for increased alcohol consumption among young adults during COVID-19.

Objective: This study explored correlates of increased alcohol use among a predominantly low-socioeconomic status student population at two time points during the COVID-19 pandemic.Participants: Participants were students enrolled in at least one course at a City University of New York (CUNY) campus.Methods: Demographic characteristics, stressor endorsements, probable diagnoses, and alcohol use endorsement, were collected via self-report surveys in April and July 2020. Frequencies and multivariable logistic regressions were computed to assess for prevalence and odds of increased alcohol consumption.Results: High cumulative stress was significantly related to increased alcohol use in both April and July 2020. A greater number of specific stressors was associated with increased alcohol use in April as compared to July. Probable diagnoses of depression and anxiety were associated with higher odds of alcohol consumption at both time points.Conclusion: Findings highlight the importance of stress and mental health on increases in alcohol use for public university students.

A multilevel approach to social support as a determinant of mental health during COVID-19.

The COVID-19 pandemic has detrimentally affected the mental health of lower income communities. We sought to investigate the relationship among multilevel social support, specifically individual-, network-, and neighborhood-level social supports, COVID-19-related stressors, and probable diagnoses of depression, anxiety, and posttraumatic stress (PTS), within a racially diverse and predominantly low-socioeconomic status population. We used multiple logistic regressions to assess the odds of diagnosis for high versus low social support and stressor levels. Participants who endorsed high levels of stress had significantly higher odds of probable diagnoses. Participants who endorsed low individual-level social support had higher odds of probable depression and anxiety. Those who endorsed low neighborhood-level social support had higher odds of probable depression and probable PTS. Network-level social support was not significantly associated with the health indicators of interest. Results indicate the importance of both individual- and neighborhood-level support to protect mental health during COVID-19.

Suicidal ideation during COVID-19: The contribution of unique and cumulative stressors.

The link between large-scale disasters and population-level risk of suicide remains unclear. The present study sought to investigate suicidal ideation (SI) in relation to COVID-19 related stress, including material and social stress, in a predominantly low-SES ethno-racially diverse sample in New York City during a peak in COVID-19 cases in April 2020. Using binary logistic regressions of data collected with self-report surveys, we found that individuals who identified as Asian, as well as those with high total, material, and social stress levels, and persons without access to primary care providers had significantly higher adjusted odds of SI. These results indicate the specific burden faced by Asian participants due to increases in targeted racism, the importance of cumulative stress and specific stressor type, as well as the role of healthcare access on SI during the pandemic. Such findings suggest the need for specific interventions that target individuals who may be at higher risk of suicide after large-scale traumatic events and during the ongoing pandemic.

Long-COVID and comorbid depression and anxiety two years into the COVID-19 pandemic.

Long-COVID, or the persistence of COVID-19 symptoms for months after initial infection, has been shown to impact the lives of those affected. The current study sought to investigate the relationships between long-COVID, COVID-19 related stress, depression, anxiety, and comorbid depression and anxiety outcomes. Data were collected in Winter 2021-2022 from a population of adults enrolled in at least one course across multiple City University of New York (CUNY) campuses. Frequencies and chi-square tests were computed to assess for demographics and relationships to probable diagnoses of depression and anxiety, and binary logistic regressions were computed to assess for the odds of probable comorbid depression and anxiety based on demographics, stressors, and long-COVID. Women participants reported higher odds of probable depression outcomes, and stressor levels were significant correlates of probable anxiety outcomes. Women participants, 3.2 [1.5-6.9], as compared to men, lower-SES participants, 2.16 [1.1-4.2], as compared to higher-SES participants, participants with higher COVID-19 related stress levels, 4.8 [2.0-12.0], as compared to those with low levels, and participants with long-COVID, 3.7 [1.9-7.0], as compared to those without, all had higher odds of probable comorbid depression and anxiety. Findings highlight the importance of social location, stress, and long-COVID, in tandem, as correlates of psychological health during the shifting pandemic.

Development and validation of the Brief-Mentalized Affectivity Scale: Evidence from cross-sectional online data and an urban community-based mental health clinic.

OBJECTIVE: To develop and validate the Brief-Mentalized Affectivity scale (B-MAS), a shorter version of the Mentalized Affectivity Scale (MAS). METHODS: In Study 1 (N = 978), participants from Amazon's Mechanical Turk were administered a battery of questionnaires including the B-MAS and traditional emotion regulation measures. In Study 2 (N = 230), clients from a community clinic completed a separate battery of measures, including the B-MAS, and personality and emotion regulation measures. RESULTS: There were four main findings: (1) the B-MAS is a psychometrically robust measure of emotion regulation and mentalization; (2) scores on the B-MAS are highly predictive of many clinical diagnoses; (3) scores on the B-MAS are just as or more predictive of wellbeing than traditional emotional regulation measures; and (4) as observed in an urban clinic with a diverse population, the B-MAS is useful clinically, especially because of its brevity. CONCLUSION: The B-MAS contributes to the expanding scope of research on emotion regulation and has valuable clinical applications.

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.

Depression and Anxiety Subgroups Across Alcohol Use Disorder and Substance Use in a National Epidemiologic Study.

Objective: The high prevalence of alcohol/substance use among individuals with psychiatric disorders elucidates the import of investigations into associations between types and severity of psychiatric symptoms and alcohol/substance use. This study examined the likelihood of alcohol use disorder and substance use among individuals with varying depression and anxiety symptoms and severity thereof. Differences across sex were also examined.Methods: Using data from the National Epidemiological Survey on Alcohol and Related Conditions, a nationally representative sample from the United States (N = 43,093), separate logistic regressions estimated the odds of lifetime alcohol use disorder, depressant, stimulant, hallucinogen, and comorbid substance use across psychiatric symptom clusters controlling for age, sex, and ethnicity.Results: Symptom severity was a more important correlate of alcohol use disorder and substance use than symptom type. In particular, the odds ratio of lifetime use of depressants, stimulants, hallucinogens, or any combination of these types of substances were higher for individuals with either severe depression or severe depression and anxiety relative to a healthy control. Moreover, the odds of having a diagnosis of lifetime alcohol use disorder were higher for individuals with severe symptoms of depression, anxiety, and both depression and anxiety, relative to healthy individuals. Those with mild depression were more likely to engage in substance use than individuals with anxiety alone. Patterns of association among males and females were highly consistent.Conclusions: The findings highlight an enhanced risk of alcohol and substance use among individuals with severe depression and/or anxiety symptoms above what is seen among individuals with less severe symptomatology. In addition, this study shows a unique risk posed by the presence of depression on substance use. This study offers a framework for future studies to examine the causal mechanisms explaining the connection between psychiatric symptoms and alcohol/substance use.

The contribution of financial well-being, social support, and trait emotional intelligence on psychological distress.

OBJECTIVES: While financial deprivation, social isolation, and low emotional intelligence (EI) have been separately identified as important predictors of mental illness, no research has assessed the contribution of these factors together in understanding early markers of severe psychological distress. This information can have key implications for the development of comprehensive interventions and psychological treatment programmes. This study investigated the shared and unique contribution of financial well-being, social support, and trait EI on different types of psychological distress. DESIGN: A total of 309 patients seeking psychological treatment at an outpatient mental health clinic in the United States provided consent to participate in this study. Patients responded to online questionnaires corresponding to symptomatology, demographic characteristics, and psychometric assessments. METHODS: Hierarchical linear regressions identified the common and unique role of each set of variables in predicting nine different symptom clusters of psychological distress. RESULTS: Financial well-being, social support, and trait EI were negatively related to the majority of symptom clusters, together explaining between 20% and 53% of the variance. Whereas financial well-being and social support uniquely captured a significant amount of the variance in all outcomes, trait EI, most notably the well-being and self-control dimensions, captured the most. CONCLUSIONS: The results highlight the importance of all factors in understanding variations in mental health among help-seeking urban individuals. Furthermore, the results identify well-being and self-control as emotional facets to consider in therapeutic programmes in as much as to mitigate the risk of severe psychological distress within this population. PRACTITIONER POINTS: Together, financial well-being, social support, and trait emotional intelligence (EI) can help prevent psychological distress in help-seeking urban individuals. Perceived social support and social contact differentially contributed to improved symptoms of psychological distress. Studies should examine the impact of targeting well-being and self-control in psychological treatment. The correlational nature of this study highlights the need to replicate findings via experimental or longitudinal designs.

Inattention, emotion dysregulation and impairment among urban, diverse adults seeking psychological treatment.

Emotion dysregulation is commonly reported among adults with Attention-Deficit/Hyperactivity Disorder. This study examined whether inattention and/or hyperactivity/impulsivity directly affect functional impairment, or whether they do so indirectly by decreasing emotion regulation capabilities. An ethnically, racially and socioeconomically diverse sample of clients seeking treatment at a low-fee outpatient mental health clinic were recruited [N = 177, male n = 59, 33.3%, mean (SD) age = 28.54 (8.41) years]. Participants completed measures of inattention, hyperactivity/impulsivity, emotion regulation and impairment at intake. Inattention was more strongly related to emotion regulation and impairment than hyperactivity/impulsivity. Hayes' PROCESS was used to test for significant indirect effects. More severe inattention was associated with less emotional clarity, which in turn was associated with worse Interpersonal Relationship difficulties; more severe inattention was associated with less access to emotion regulation strategies and poorer emotional clarity, which in turn were associated with greater Symptom Distress; and inattention was directly associated with impairment at school and work. In addition to treating inattention, clinicians should focus on emotion regulation deficits. Specifically, working with individuals to improve identification and labeling of emotions, develop strategies to reduce the intensity of their negative emotions, and feel more confident that they have these tools at their disposable may help to reduce impairment.

Latent comorbid depression and anxiety symptoms across sex and race/ethnic subgroupings in a national epidemiologic study.

The heterogeneity of mood and anxiety disorders has been widely documented and epidemiologic studies have found different prevalence rates for psychiatric disorders across subgroups (i.e. sex and race/ethnic). The current study compares the latent class structure across sex and race/ethnic groups to determine group differences in these latent class configurations. This study utilized data from the National Epidemiologic Survey on Alcohol and Related Conditions (NESARC), a nationally representative sample from the United States (N = 43,093). First, latent class analyses (LCAs) were used to assess subtypes of symptoms of depression and anxiety that characterize a latent class structure for the population represented by NESARC. Second, group LCAs were conducted across sex and race/ethnicity to compare the latent class structure across these groups. The results suggest a 7-class model is the best fit for the population as well as for the male, non-Hispanic White, and Black subgroups. Females fit best an 11-class model, Hispanics a 5-class model and Asian and American Indian subgroups a 4-class model. These results indicate that subgroups of sex and race/ethnicity do not share the same latent construct for symptoms of anxiety and depression. Understanding the variability in the presentation of comorbid mood and anxiety across subgroups has the potential to inform person-centered approaches to care as well as targeted and multicultural interventions to improve population health.

Adverse Childhood Events and the Risk for New-Onset Depression and Post-Traumatic Stress Disorder Among U.S. National Guard Soldiers.

This article examines the relationship between childhood adversity and postdeployment new-onset psychopathology among a sample of U.S. National Guard personnel deployed during Operation Iraqi Freedom and Operation Enduring Freedom with no history of post-traumatic stress disorder (PTSD) or depression. We recruited a sample of 991 Ohio Army National Guard soldiers and conducted structured interviews to assess traumatic event exposure, a history of childhood adversity, and postdeployment depression, and PTSD, consistent with the Diagnostic and Statistical Manual of Mental Disorders-Fourth Edition. We assessed childhood adversity by using questions from the Childhood Adverse Events Survey. In multivariable logistic models, a history of any childhood adversity was significantly associated with new-onset depression, but not PTSD, postdeployment. This finding suggests that a history of childhood adversity is predisposing for new-onset depression, among U.S. National Guard soldiers who were deployed with no prior history of PTSD or depression. This highlights the centrality of childhood experience for the production of mental health among soldiers.

Developing the new Columbia core curriculum: a case study in managing radical curriculum change.

Curricular change is essential for maintaining vibrant, timely, and relevant educational programming. However, major renewal of a long-standing curriculum at an established university presents many challenges for leaders, faculty, staff, and students. We present a case study of a dramatic curriculum renewal of one of the nation's largest Master of Public Health degree programs: Columbia University's Mailman School of Public Health. We discuss context, motivation for change, the administrative structure established to support the process, data sources to inform our steps, the project timeline, methods for engaging the school community, and the extensive planning that was devoted to evaluation and communication efforts. We highlight key features that we believe are essential for successful curricular change.

Preventing brain disorders: a framework for action.

INTRODUCTION: Prevention efforts have greatly reduced the prevalence of many communicable and non-communicable diseases worldwide. In contrast, prevention strategies for mental disorders remain in their infancy. This paper provides a summary of the key issues surrounding mental disorder prevention and proposes a framework for how to catalyze action in the area. MATERIALS AND METHODS: Three core assumptions guide this work (1) the onset of mental disorders is often preventable, (2) among those individuals with a mental disorder, the trajectory of health and functioning can be shaped by external resources, and (3) many specific and generic risk and protective factors for mental disorders are associated with specific stages of the life course. CONCLUSION: We propose that the adoption of a life course approach to prevention can be clarifying and motivating for both research and practice.