Mental Health and Mental Health Care Utilization Across Political Affiliation in U.S. Adults.

In the past decade, depression has become more visible in the public conversation; depression has also become bound in national divides. We sought to assess (1) whether positive screen for depression is associated with political party affiliation and (2) whether use of mental health care varies by political affiliation. Positive screen for depression did not differ significantly for Republicans versus Democrats in Spring 2023. However, Republicans were less likely to have received treatment for their mental health in the past 12 months. Depression is a bipartisan issue, and improving access to mental health care could be a priority that unites political groups during the upcoming election season.

Area-level credit scores and symptoms of depression and anxiety in adults.

Area-level credit scores may capture aspects of a neighborhood's resources and history that may affect population mental health beyond income and other demographic determinants. Using a sample of 511,363 adults in 1,438 Pennsylvania ZIP codes who completed the COVID-19 Trends and Impact Survey, we assessed the relationship between area-level VantageScores (nine categories from <675 to ≥850) and individual mental health. We estimate odds and predicted probability of depression and anxiety symptoms, adjusting for demographics and median household income. Given a history of discrimination and unequal access to the benefits of assets, we assess whether the relationship between area credit scores and individual mental health was different for different gender, age, race and ethnicity, and education groups. Persons who lived in ZIP codes with average credit scores of 700-725 reported 1.31 (95% CI 1.13, 1.52) and 1.22 (95% CI 1.07, 1.40) times the odds of frequent feelings of depression and anxiety symptoms, respectively, relative to persons living in ZIP codes with an average area level credit score ≥850. This translated to a difference of 2.8 and 2.5 percentage points in the predicted probability of symptoms of depression and anxiety, respectively, for persons living in lower versus higher area credit score ZIP codes. Stratified models appeared to show differences in the association of depression and anxiety with credit scores across demographic groups, but tests of interaction did not show significant differences between most groups. Findings suggest that area credit scores may capture assets that shape mental health over and above income and other demographic determinants.

Generalized anxiety disorder in low-resourced adults: a nationally representative, longitudinal cohort study across the COVID-19 pandemic.

The burden of generalized anxiety disorder (GAD) accrued disproportionately over the COVID-19 pandemic to low-resource populations. Using a longitudinal, nationally representative study of U.S. adults, we used generalized estimating equations (GEE) to estimate the burden of positive screen for GAD (GAD-7 ≥10) over time. The final sample included 1270 adults ≥18 who completed the CLIMB (COVID-19 and Life Stressors Impact on Mental Health and Well-being) study, collected in Spring 2020, 2021, and 2022. The national prevalence of positive screen for GAD decreased from 24.4% in 2020 to 21.3% in 2022 (p<0.05). Across the COVID-19 pandemic, factors associated with increased odds of positive screen for GAD were: lower income (OR:2.06 [95%CI: 1.17,3.63] for ≤$19,999 relative to ≥$75,000), younger age (OR:2.55 [95% CI:1.67,3.89] for ages 18-39 relative to ≥60 years), and having contracted COVID-19 (OR:1.54 [95%CI:1.12,2.14]). Experiencing stressors was associated with 14% increased odds of positive screen for GAD for each additional stressor. The 2020 stressors most strongly associated with positive screen for GAD in 2022 were job loss and difficulties paying rent. Efforts to address the stressors affecting groups with the highest burden of anxiety post-pandemic may help to mitigate poor mental health exacerbated during the COVID-19 pandemic.

Income or Job Loss and Psychological Distress During the COVID-19 Pandemic.

Importance: Given the expiration of expanded unemployment and other benefits during the COVID-19 pandemic, it is important to understand the association between pandemic income or job loss and long-term implications on mental health. Objective: To evaluate the association between income or job loss due to the COVID-19 pandemic and later psychological distress. Design, Setting, and Participants: This cohort study used 5 waves of nationally representative, longitudinal survey data (September 16, 2019, through September 18, 2022) from the Pew Research Center's American Trends Panel. Doubly robust propensity score-weighted quasi-Poisson models were used to estimate the association of self or household income or job loss during the early phase of the COVID-19 pandemic with later psychological distress, while controlling for pre-income loss characteristics (demographics, finances, and psychological distress). The study sample comprised US working-age adults (aged 18-64 years) who had not experienced income or job loss due to the COVID-19 pandemic by March 24, 2020. Exposure: Participant-reported self or household income or job loss (ie, reduced hours or demand for work) due to the COVID19 pandemic between March 24, 2020, and August 16, 2020. Main Outcome and Measures: Psychological distress was measured using a composite scale of 0 to 15 based on participants' reported frequency of feeling depressed, on edge, sleepless, lonely, and hopeless in the past week in March 2020, February 2021, and September 2022. Results: Of 1392 working-age adults (survey weighted 52.7% male and 47.7% aged 30-49 years) who had not reported income or job loss before March 24, 2020, a survey weighted 35.7% reported job or income loss between March 24 and August 16, 2020. Early-phase pandemic income or job loss was associated with higher distress in February 2021 (estimated ratio, 1.09; 95% CI, 1.01-1.18; P = .03) and September 2022 (estimated ratio, 1.11; 95% CI, 1.02-1.22; P = .02) among participants who experienced job or income loss between March 24 and August 16, 2020, compared with the propensity score-weighted mean in the group who did not experience income loss. Conclusions and Relevance: These small but significant within-person associations between early-phase pandemic household income or job loss and psychological distress up to 29 months later suggest that policies are needed to support people with income or job loss to help mitigate the long-term adverse mental health outcomes of economic disruption.

Financial strain, schooling modality and mental health of US adults living with children during the COVID-19 pandemic.

BACKGROUND: The COVID-19 pandemic upended contexts for families; relatively little work has studied the influence of rapidly changing contexts on the mental health of parents. We aimed to assess the relation between financial strain and schooling modality with the mental health of adults living with school-age children across the pandemic. METHODS: Using a large, national sample from the COVID-19 Trends and Impact Surveys (N=1 485 072 responses from November 2020 through June 2022), we used weighted multiple logistic regression with interactions for school semester to estimate changes in the association of frequent feelings of depression and anxiety, respectively, with financial strain and schooling modality, controlling for demographics and state, across time. RESULTS: In all time periods, financial strain was associated with reporting frequent feelings of depression and anxiety, respectively. The association grew over time (p<0.001) from adjusted OR (aOR) 2.25 (95% CI 2.19, 2.32)/aOR 2.63 (95% CI 2.54, 2.73) in Autumn 2020 to aOR 3.11 (95% CI 3.01, 3.22)/aOR 3.79 (95% CI 3.64, 3.95) in Spring 2022. Living with children in fully online versus in-person schooling was associated with frequent feelings of anxiety and depression symptoms in all time periods, and increased from aOR 1.08 (1.05, 1.11)/aOR 1.06 (1.02, 1.10) in Autumn 2020 to aOR 1.20 (1.10, 1.32)/aOR 1.28 (1.16, 1.42) in Spring 2022. CONCLUSION: Associations between financial strain and online-only schooling with poor mental health increased during the COVID-19 pandemic. Policies to support parents in the face of external stressors, such as economic instability and school closures, may improve overall population mental health.

Depression and assets during the COVID-19 pandemic: A longitudinal study of mental health across income and savings groups.

The prevalence of depression in U.S. adults during the COVID-19 pandemic has been high overall and particularly high among persons with fewer assets. Building on previous work on assets and mental health, we document the burden of depression in groups based on income and savings during the first two years of the COVID-19 pandemic. Using a nationally representative, longitudinal panel study of U.S. adults (N = 1,271) collected in April-May 2020 (T1), April-May 2021 (T2), and April-May 2022 (T3), we estimated the adjusted odds of reporting probable depression at any time during the COVID-19 pandemic with generalized estimating equations (GEE). We explored probable depression-defined as a score of ≥10 on the Patient Health Questionnaire-9 (PHQ-9)-by four asset groups, defined by median income (≥$65,000) and savings (≥$20,000) categories. The prevalence of probable depression was consistently high in Spring 2020, Spring 2021, and Spring 2022 with 27.9% of U.S. adults reporting probable depression in Spring 2022. We found that there were four distinct asset groups that experienced different depression trajectories over the COVID-19 pandemic. Low income-low savings asset groups had the highest level of probable depression across time, reporting 3.7 times the odds (95% CI: 2.6, 5.3) of probable depression at any time relative to high income-high savings asset groups. While probable depression stayed relatively stable across time for most groups, the low income-low savings group reported significantly higher levels of probable depression at T2, compared to T1, and the high income-low savings group reported significantly higher levels of probable depression at T3 than T1. The weighted average of probable depression across time was 42.9% for low income-low savings groups, 24.3% for high income-low savings groups, 19.4% for low income-high savings groups, and 14.0% for high income-high savings groups. Efforts to ameliorate both savings and income may be necessary to mitigate the mental health consequences of pandemics.

Regional variation in financial hardship among US veterans during the COVID-19 pandemic.

Geographic variation in hardship, especially health-related hardship, was identified prior to and during the pandemic, but we do not know whether this variation is consistent among Veterans Health Administration (VHA)-enrolled veterans, who reported markedly high rates of financial hardship during the pandemic, despite general and veteran-specific federal policy efforts aimed at reducing hardship. In a nationwide, regionally stratified sample of VHA-enrolled veterans, we examined whether the prevalence of financial hardship during the pandemic varied by US Census region. We found veterans in the South, compared with those in other census regions, reported higher rates of severe-to-extreme financial strain, using up all or most of their savings, being unable to pay for necessities, being contacted by collections, and changing their employment due to the kind of work they could perform. Regional variation in veteran financial hardship demonstrates a need for further research about the role and interaction of federal and state financial-assistance policies in shaping risks for financial hardship as well as potential opportunities to mitigate risks among veterans and reduce variation across regions.

Mental Health and U.S. Attitudes Toward Social Determinants of Health Policies.

INTRODUCTION: Research has suggested that individual health may influence policy attitudes, yet the relationship between mental health and policy support is understudied. Clarifying this relationship may help inform policies that can improve the population mental health. To address this gap, this study measures national support for 5 social determinants of health policy priorities and their relation to mental health and political affiliation. METHODS: This study assessed support for 5 policy priorities related to the social determinants of health using a nationally representative survey of US adults (n=2,430) conducted in March-April 2023. Logistic regression was used to estimate the predicted probability of identifying each priority as important, test differences in support by self-rated mental health, and evaluate whether partisanship modified these relationships. Analyses were conducted in 2023. RESULTS: The majority of US adults, across partisan identities, supported 5 policy priorities related to improving the economy (84%), healthcare affordability (77%), improving K-12 education (76%), housing affordability (68%), and childcare affordability (61%). Worse mental health predicted significantly greater support for addressing housing affordability (73.9% vs 66.2%), and partisanship modified the relationship between mental health and support for improving the economy, improving K-12 education, and housing affordability. CONCLUSIONS: In 2023, there was substantial bipartisan support for federal policy action to address the social determinants of health, and worse mental health was related to greater policy support, particularly among Democrats. Federal policymakers have a broad consensus to take action to address the social determinants of health, which may improve the population mental health.

An Asset Framework to Guide Nonhealth Policy for Population Health.

This JAMA Forum discusses 3 types of assets (financial, physical, and social) that unlock access to resources and shape population health.

Experience of Personal Loss Due to Drug Overdose Among US Adults.

Importance: Since 1999, over 1 million people have died of a drug overdose in the US. However, little is known about the bereaved, meaning their family, friends, and acquaintances, and their views on the importance of addiction as a policy priority. Objectives: To quantify the scope of the drug overdose crisis in terms of personal overdose loss (ie, knowing someone who died of a drug overdose) and to assess the policy implications of this loss. Design, Setting, and Participants: This cross-sectional study used data from a nationally representative survey of US adults (age ≥18 years), the fourth wave of the COVID-19 and Life Stressors Impact on Mental Health and Well-Being (CLIMB) study, which was conducted from March to April 2023. Main Outcomes and Measures: Respondents reported whether they knew someone who died of a drug overdose and the nature of their relationship with the decedent(s). They also reported their political party affiliation and rated the importance of addiction as a policy issue. Logistic regression models estimated the associations between sociodemographic characteristics and political party affiliation and the probability of experiencing a personal overdose loss and between the experience of overdose loss and the perceived salience of addiction as a policy issue. Survey weights adjusted for sampling design and nonresponse. Results: Of the 7802 panelists invited to participate, 2479 completed the survey (31.8% response rate); 153 were excluded because they did not know whether they knew someone who died of a drug overdose, resulting in a final analytic sample of 2326 (51.4% female; mean [SD] age, 48.12 [0.48] years). Of these respondents, 32.0% (95% CI, 28.8%-34.3%) reported any personal overdose loss, translating to 82.7 million US adults. A total of 18.9% (95% CI, 17.1%-20.8%) of all respondents, translating to 48.9 million US adults, reported having a family member or close friend die of drug overdose. Personal overdose loss was more prevalent among groups with lower income (<$30 000: 39.9%; ≥$100 000: 26.0%). The experience of overdose loss did not differ across political party groups (Democrat: 29.0%; Republican: 33.0%; independent or none: 34.2%). Experiencing overdose loss was associated with a greater odds of viewing addiction as an extremely or very important policy issue (adjusted odds ratio, 1.37; 95% CI, 1.09-1.72) after adjustment for sociodemographic and geographic characteristics and political party affiliation. Conclusions and Relevance: This cross-sectional study found that 32% of US adults reported knowing someone who died of a drug overdose and that personal overdose loss was associated with greater odds of endorsing addiction as an important policy issue. The findings suggest that mobilization of this group may be an avenue to facilitate greater policy change.

Unmet need for mental health care is common across insurance market segments in the United States.

A substantial proportion of individuals with depression in the United States do not receive treatment. While access challenges for mental health care have been documented, few recent estimates of unmet mental health needs across insurance market segments exist. Using nationally representative survey data with participant-reported depression symptom severity and mental health care use collected in Spring 2023, we assessed access to mental health care among individuals with similar levels of depression symptom severity with commercial, Medicare, Medicaid, and no insurance. Among individuals who reported symptoms consistent with moderately severe to severe depression, 37.8% did not have a diagnosis for depression (41.0%, 28.1%, 33.6%, and 56.3% with commercial, Medicare, Medicaid, and no insurance), 51.9% did not see a mental health specialist (49.7%, 51.7%, 44.9%, and 91.8%), and 32.4% avoided mental health care due to affordability in the past 12 months (30.2%, 34.0%, 21.1%, and 54.8%). There was substantial unmet need for mental health treatment in all insurance market segments, but especially among individuals without insurance.

Assets and depression in U.S. adults during the COVID-19 pandemic: a systematic review.

PURPOSE: Mental health is shaped by social and economic contexts, which were altered during the COVID-19 pandemic. No study has systematically reviewed the literature on the relation between different assets and depression during the COVID-19 pandemic. METHODS: We conducted a systematic review of the literature on financial (e.g. income/savings), physical (e.g., home ownership), and social (e.g., marital status, educational attainment) assets and depression in U.S. adults. For each asset type, we created binary comparisons to report on the direction of the relationship and described if each study reported insignificant, positive, negative, or mixed associations. RESULTS: Among the 41 articles identified, we found that income was the most studied asset (n=34), followed by education (n=25), marital status (n=18), home ownership (n=5), and savings (n=4). 88%, 100%, and 100% of articles reported a significant association of higher income, home ownership, and higher savings, respectively, with less depression. The association between marital status and education with depression was more nuanced: 72% (13 of 18) studies showed that unmarried persons had greater risk of depression than married or cohabitating persons and 52% (13 of 25) of studies reported no significant difference in depression across educational groups. CONCLUSION: This work adds to the literature a deeper understanding of how different assets relate to depression. In the context of largescale traumatic events, policies that maintain and protect access to social, physical, and financial assets may help to protect mental health.

Pandemic stressors and mental health indicators in eight countries.

PURPOSE: The Covid-19 pandemic has exacted a significant physical, financial, social, and emotional toll on populations throughout the world. This study aimed to document the association between pandemic stressors and mental health during the pandemic across countries that differ in cultural, geographic, economic, and demographic factors. METHODS: We administered an online survey randomly in Brazil, China, Germany, Egypt, India, Indonesia, Nigeria, and the United States from September 2020 to November 2020. This survey included questions on Covid-19-related stressors as well as the Patient Health Questionnaire-2 and the Primary Care PTSD Checklist to screen for depression and post-traumatic stress disorder (PTSD) symptoms, respectively. We performed bivariable and multivariable regression analyses to assess the prevalence and odds ratios of overall depression symptoms and probable PTSD and in relation to stressors across countries. RESULTS: Among 8754 respondents, 28.9% (95% CI 27.5-30.0%) experienced depression symptoms, and 5.1% (95% CI 4.5-6.0%) experienced probable PTSD. The highest prevalence of depression symptoms was in Egypt (41.3%, 95% CI 37.6-45.0%) and lowest in the United States (24.9%, 95% CI 22.3-27.7%). The highest prevalence of probable PTSD was in Brazil (7.3%, 95% CI 5.6-9.4%) and the lowest in China (1.2%, 95% CI 0.7-2.0%). Overall, experiencing six or more Covid-19-related stressors was associated with both depression symptoms (OR 1.90, 95% CI 1.46-2.48) and probable PTSD (OR 13.8, 95% CI 9.66-19.6). CONCLUSION: The association between pandemic related stressors and the burden of adverse mental health indicators early in the Covid-19 pandemic transcended geographic, economic, cultural, and demographic differences between countries. The short-term and long-term impacts of the pandemic on mental health should be incorporated in efforts to tackle the consequences of Covid-19.

Trends in Telepsychiatry and In-Person Psychiatric Care for Depression in an Academic Health System, 2017-2022.

OBJECTIVE: The authors aimed to assess differences in appointment completion rates between telepsychiatry and in-person outpatient psychiatric care for patients with depression in an academic health system. METHODS: Electronic health records of encounters for patients (ages ≥10) with a depression diagnosis and at least one scheduled outpatient psychiatric appointment (N=586,266 appointments; November 2017-October 2022) were assessed for appointment volume and completion of telepsychiatry versus in-person sessions. RESULTS: Telepsychiatry became the dominant care modality after the onset of the COVID-19 pandemic, although the number of telepsychiatry and in-person appointments nearly converged by October 2022. Logistic regression showed that telepsychiatry appointments (July 2020-October 2022) were more likely (OR=1.30, 95% CI=1.27-1.34) to be completed than in-person appointments. CONCLUSIONS: Telepsychiatry appointments were less likely to be canceled or missed than in-person appointments, suggesting that telepsychiatry improved efficiency and continuity of care. As in-person operations resume following the pandemic, maintaining telepsychiatry services may optimize hospital-level and patient outcomes.

Symptoms of Posttraumatic Stress During the COVID-19 Pandemic in the Governmental Public Health Workforce and General Population.

We aimed to estimate the prevalence of COVID-19-related posttraumatic stress symptoms (PTSS) in the governmental public health workforce and in US adults, assess differences in reporting PTSS within subgroups, and evaluate whether frontline workers reported higher levels of PTSS than persons in other jobs. We used data from 2 nationally representative studies: the 2021 Public Health Workforce Interests and Needs Survey (PH WINS) and the COVID-19 and Life Stressors Impact on Mental Health and Well-being (CLIMB) study. Our study found that the state and local governmental public health workforce was more likely to report PTSS than the general adult population. Almost a quarter of public health agency employees (24.7%) and 21.1% of adults reported at least 3 symptoms of posttraumatic stress. Differences in levels of PTSS appeared within demographic groups for both samples. Personal care and service frontline workers had 4.3 times the odds of reporting symptoms of posttraumatic stress than non-frontline workers.

Evolution of Depression and Anxiety During the COVID-19 Pandemic and Across Demographic Groups in a Large Sample of U.S. Adults.

Introduction: This study aimed to document the trends of feelings of depression and anxiety over the course of the COVID-19 pandemic within and across age, gender, education, and employment groups. Methods: Using a large, national, serial cross-sectional sample of adults in the U.S. collected through the COVID-19 Trends and Impact Survey conducted in partnership with Facebook, we examined trends in feelings of depression and anxiety from April 2020 through June 2022 (N=21,359,165). Results: Over time, differences in feelings of anxiety and depression widened for educational attainment, stayed consistent between employment groups, and narrowed for female versus male and age groups. The odds of frequent feelings of anxiety or depression were significantly lower in the studied final quarter (April-June 2022) than in the studied first quarter (October-December 2020) for the overall population (p<0.001). In April-June 2022, younger persons reported 6-7 times the odds (AOR for depression=6.07; 95% CI=5.72, 6.43 and AOR for anxiety=6.69; 95% CI=6.33, 7.07), nonbinary persons reported 5 times the odds (AOR for depression=5.35, 95% CI=4.89, 5.86 and AOR for anxiety=5.35, 95% CI=4.9, 5.85), persons with a high school degree reported 2 times the odds (AOR for depression=2.07, 95% CI=1.92, 2.22 and AOR for anxiety=1.68, 95% CI=1.57, 1.8), and persons who were not employed reported 1.3-1.5 times the odds (AOR for depression=1.46, 95% CI=1.42, 1.51 and AOR for anxiety=1.34, 95% CI=1.3, 1.38) of frequent feelings depression and anxiety, respectively, than counterparts who were older, were male, had graduate degrees, or were employed. Conclusions: The risk factors most highly associated with poor mental health 2 years into the pandemic were young age, nonbinary gender, and low educational attainment.

The Potential Influence of AI on Population Mental Health.

The integration of artificial intelligence (AI) into everyday life has galvanized a global conversation on the possibilities and perils of AI on human health. In particular, there is a growing need to anticipate and address the potential impact of widely accessible, enhanced, and conversational AI on mental health. We propose 3 considerations to frame how AI may influence population mental health: through the advancement of mental health care; by altering social and economic contexts; and through the policies that shape the adoption, use, and potential abuse of AI-enhanced tools.

Depression and PTSD among Houston Residents who Experienced Hurricane Harvey and COVID-19: Implications for Urban Areas Affected by Multiple Disasters.

Little is known about the combined impact of the COVID-19 pandemic and other major disasters on mental health. Hurricane Harvey hit the Gulf Coast in 2017, resulting in substantial costs, significant levels of displacement, and approximately 100 deaths, and was followed in 2020 by the COVID-19 pandemic. We randomly sampled 1167 Houstonians from 88 designated super-neighborhoods and surveyed them about their demographics, event-specific traumas and stressors, and symptoms of current depression and post-traumatic stress disorder (PTSD). We estimated the prevalence of depression (5.8%) and PTSD (12.6%) more than three years after Hurricane Harvey, and assessed the relative influence of event-specific stressors and traumas on current mental health. Overall, we observed evidence for two key findings that are salient for residents of urban environments in the context of multiple disasters. First, stressors were primary influences on depression, whereas both stressors and traumas influenced PTSD. Second, the influences of stressors and traumas on depression and PTSD symptoms faded with time.

Financial strain and depression in the U.S.: a scoping review.

While the association between assets and depression has been established, less is known about the link between financial strain and depression. Given rising financial strain and economic inequity due to the COVID-19 pandemic, understanding the role that financial strain plays in shaping population depression in the United States is particularly salient. We conducted a scoping review of the peer-reviewed literature on financial strain and depression published from inception through January 19, 2023, in Embase, Medline via PubMed, and PsycINFO, PsycArticles, SocINDEX, and EconLit via Ebsco. We searched, reviewed, and synthesized the literature on longitudinal studies on financial strain and depression conducted in the United States. Four thousand and four unique citations were screened for eligibility. Fifty-eight longitudinal, quantitative articles on adults in the United States were included in the review. Eighty-three percent of articles (n = 48) reported a significant, positive association between financial strain and depression. Eight articles reported mixed results, featuring non-significant associations for some sub-groups and significant associations for others, one article was unclear, and one article reported no significant association between financial strain and depression. Five articles featured interventions to reduce depressive symptoms. Effective interventions included coping mechanisms to improve one's financial situation (e.g., mechanisms to assist in finding employment), to modify cognitive behavior (e.g., reframing mindset), and to engage support (e.g., engaging social and community support). Successful interventions were tailored to participants, were group-based (e.g., they included family members or other job seekers), and occurred over multiple sessions. While depression was defined consistently, financial strain was defined variably. Gaps in the literature included studies featuring Asian populations in the United States and interventions to reduce financial strain. There is a consistent, positive association between financial strain and depression in the United States. More research is needed to identify and test interventions that mitigate the ill effects of financial strain on population's mental health.

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.