No retraction, correction or concern found when last checked on Oct 21, 2026.
Follow-up Survey of US Adult Reports of Mental Health, Substance Use, and Suicidal Ideation During the COVID-19 Pandemic, September 2020
Mark É. Czeisler, Rashon I. Lane, Joshua F. Wiley and 3 more (opens in a new tab)
JAMA Network Open · 2021
doi:10.1001/jamanetworkopen.2020.37665 (opens in a new tab)
Abstract
Continuity-corrected McNemar tests were used to assess longitudinal differences in adverse mental health symptom prevalences among respondents who completed surveys in June 2020 and September 2020.All calculations were performed in Python version 3.7.8(Python Software Foundation) and R version 4.0.2(The R Project for Statistical Computing) using the R survey package version 3.29.P values were 2-sided, and statistical significance was set at P < .05.Detailed methods
Full text
From PubMed Central, U.S. National Library of Medicine, as current on Oct 21, 2026. Paragraph numbers are ours, so an answer can point at one.
Introduction
Adverse mental health symptoms among US adults were more prevalent during the early phase (April-June 2020) of the coronavirus disease 2019 (COVID-19) pandemic compared with prepandemic estimates (eg, 3-fold increased prevalences of anxiety and depression symptoms, 2-fold increased prevalence of suicidal ideation)., In June 2020, 2238 (40.9%) of 5470 US adults reported adverse mental or behavioral health symptoms. During this time, the prevalence of symptoms was lower in adults aged 65 years or older (141 of 933 [15.1%]) than in young adults aged 18 to 24 years (547 of 731 [74.9%]; P <.001). Given suggestions that acute increases in the prevalence of adverse mental health symptoms may represent a transient response to mass trauma, we sought to determine whether these patterns persisted in September 2020 and to examine disproportionately affected demographic groups.
Methods
In this survey study from August 28 to September 6, 2020, US adults aged 18 years or older completed 139-item internet-based surveys through Qualtrics for The COVID-19 Outbreak Public Evaluation (COPE) Initiative. Surveys were administered to an online respondent panel maintained by Qualtrics, a commercial survey company with networks of participant pools. Respondents reported demographic characteristics and completed questions assessing attitudes, behaviors, and beliefs about COVID-19, mitigation measures, and mental and behavioral health. When possible, brief, validated instruments were used or adapted.
Demographic quota sampling and survey weighting were used to make the sample representative of the US population by age, sex, and race/ethnicity, and weighted values are presented. Participants reported symptoms of anxiety and depression, COVID-19−related trauma- and stressor-related disorders, starting or increasing substance use to cope with pandemic-related stress, or having seriously considered suicide within 30 days. The Monash University Human Research Ethics Committee approved the study protocol, and participants provided informed consent electronically. The article followed the American Association for Public Opinion Research (AAPOR) reporting guideline.
Multivariable Poisson regressions with robust standard errors were used to estimate adjusted prevalence ratios (aPRs) and 95% CIs for any adverse mental or behavioral health symptom with the following factors: sex, age, sexual orientation, race/ethnicity, Census region, urban/rural residence, and unpaid caregiver status. Separate models were run for the following collinear factors: disability status, insomnia symptoms, prior psychiatric diagnosis (anxiety, depression, posttraumatic stress disorder, or a substance use disorder), and age-excluded employment status. Age was not adjusted for in the model that included employment status to avoid collinearity between these variables. Continuity-corrected McNemar tests were used to assess longitudinal differences in adverse mental health symptom prevalences among respondents who completed surveys in June 2020 and September 2020. All calculations were performed in Python version 3.7.8 (Python Software Foundation) and R version 4.0.2 (The R Project for Statistical Computing) using the R survey package version 3.29. P values were 2-sided, and statistical significance was set at P <.05. Detailed methods describing the recruitment process, survey, screening tools, and analyses can be found in the eAppendix in the Supplement.
Results
Overall, 5285 of 11 953 potential participants (44.2%) completed September 2020 surveys; 5186 of these respondents (98.1%) met secondary screening criteria and were analyzed (1155 [22.3%] were recontacted after April 2020; 1605 [30.9%] were recontacted after June 2020; 2426 [46.8%] were first-time respondents). Overall, 1710 (33.0%) reported anxiety or depression symptoms, 1536 (29.6%) reported COVID-19–related trauma- and stressor-related disorder symptoms, 781 (15.1%) reported increased substance use, 618 (11.9%) reported having seriously considered trying to kill themselves in August, and 2237 (43.1%) reported at least 1 of these symptoms (Table 1).
Adverse mental or behavioral health symptoms were more prevalent among adults younger than 65 years vs adults aged 65 years or older (eg, 18-24 years, aPR, 3.56 [95% CI, 3.04-4.18]) and among multigenerational caregivers vs noncaregivers (aPR, 1.93 [95% CI, 1.78-2.08]) and respondents with prior psychiatric diagnoses vs those with no prior diagnoses (aPR, 1.98 [95% CI, 1.83-2.15]) (Table 2). Prevalence of adverse mental or behavioral health symptoms was also higher among respondents with disabilities or insomnia symptoms vs those without, caregivers for adults vs noncaregivers, essential workers and unemployed respondents vs nonessential workers, and respondents who were lesbian, gay, or bisexual vs heterosexual. Among respondents who were recontacted after June 2020, prevalence of adverse mental health symptoms did not differ significantly between June 2020 and September 2020.
Discussion
In a later phase of the COVID-19 pandemic (September 2020), the prevalence of adverse mental health symptoms among US adults remained elevated compared with prepandemic estimates., This finding contradicts the notion that adverse mental health symptoms were transient, self-limiting responses. Despite increased COVID-19–related morbidity and mortality risk, adverse mental health symptoms among older adults remained less prevalent.,,, Although quota sampling and survey weighting were used, internet-based survey samples are limited and may not fully represent the 2020 US population. Nonetheless, evidence of sustained adverse mental health symptoms among more than 5000 community-dwelling US adults highlights the need to promote preventive behaviors, expand mental health care access, and integrate medical and behavioral health services to mitigate the mental health effects of COVID-19.
References 6
- 1.
- 2.
- 3.
- 4.
Wortham JM, Lee JT, Althomsons S, Characteristics of persons who died with COVID-19: United States, February 12-May 18, 2020. MMWR Morb Mortal Wkly Rep. 2020;69(28):923-929
Not in our library10.15585/mmwr.mm6928e1 (opens in a new tab)
- 5.
Vahia IV, Jeste DV, Reynolds CF III Older adults and the mental health effects of COVID-19. JAMA. 2020;324(22):2253-2254
Not in our library10.1001/jama.2020.21753 (opens in a new tab)
- 6.
Bauchner H, Vahia I Older adults and the mental health effects of COVID-19. Published November 20, 2020 Accessed November 25, 2020. https://edhub.ama-assn.org/jn-learning/audio-player/18561943
Not in our library
Cited by papers we hold 3
- Early public adherence with and support for stay-at-home COVID-19 mitigation strategies despite adverse life impact: a transnational cross-sectional survey study in the United States and Australia · 2021Not checked
- Expanding the evidence for population mental health in Canada: a call to action for evidence-informed policy and practice · 2021Not checked
- COVID-19 and Chronic Disease: The Impact Now and in the Future · 2021No notice
Questions about this paper
We email you if it is retracted, withdrawn, corrected or flagged.
Reads
Read by people on this page
None yet.
Checked or read by AI through naulon
None yet.
A person counts once a day per paper. We keep no cookie and no address: a reader is a hash that changes every day. Any month under five reads shows no number.
Are you an author?
Is this your paper?
Claim it to add your note and be paid when agents cite it. Free.