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.

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) 2022 APA, all rights reserved).

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.

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 [edited for blind review] 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 were associated with higher odds of probable depression outcomes, and stressor levels were significant for 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.

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.

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.