Dataset Information

Trajectories of Mental Distress Among U.S. Adults During the COVID-19 Pandemic.

ABSTRACT:

Background

Cross-sectional studies have found that the coronavirus disease 2019 (COVID-19) pandemic has negatively affected population-level mental health. Longitudinal studies are necessary to examine trajectories of change in mental health over time and identify sociodemographic groups at risk for persistent distress.

Purpose

To examine the trajectories of mental distress between March 10 and August 4, 2020, a key period during the COVID-19 pandemic.

Methods

Participants included 6,901 adults from the nationally representative Understanding America Study, surveyed at baseline between March 10 and 31, 2020, with nine follow-up assessments between April 1 and August 4, 2020. Mixed-effects logistic regression was used to examine the association between date and self-reported mental distress (measured with the four-item Patient Health Questionnaire) among U.S. adults overall and among sociodemographic subgroups defined by sex, age, race/ethnicity, household structure, federal poverty line, and census region.

Results

Compared to March 11, the odds of mental distress among U.S. adults overall were 1.84 (95% confidence interval [CI] = 1.65-2.07) times higher on April 1 and 1.92 (95% CI = 1.62-2.28) times higher on May 1; by August 1, the odds of mental distress had returned to levels comparable to March 11 (odds ratio [OR] = 0.80, 95% CI = 0.66-0.96). Females experienced a sharper increase in mental distress between March and May compared to males (females: OR = 2.29, 95% CI = 1.85-2.82; males: OR = 1.53, 95% CI = 1.15-2.02).

Conclusions

These findings highlight the trajectory of mental health symptoms during an unprecedented pandemic, including the identification of populations at risk for sustained mental distress.

SUBMITTER: Riehm KE

PROVIDER: S-EPMC7929474 | biostudies-literature | 2021 Feb

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Trajectories of Mental Distress Among U.S. Adults During the COVID-19 Pandemic.

Riehm Kira E KE Holingue Calliope C Smail Emily J EJ Kapteyn Arie A Bennett Daniel D Thrul Johannes J Kreuter Frauke F McGinty Emma E EE Kalb Luther G LG Veldhuis Cindy B CB Johnson Renee M RM Fallin M Daniele MD Stuart Elizabeth A EA

Annals of behavioral medicine : a publication of the Society of Behavioral Medicine 20210301 2

<h4>Background</h4>Cross-sectional studies have found that the coronavirus disease 2019 (COVID-19) pandemic has negatively affected population-level mental health. Longitudinal studies are necessary to examine trajectories of change in mental health over time and identify sociodemographic groups at risk for persistent distress.<h4>Purpose</h4>To examine the trajectories of mental distress between March 10 and August 4, 2020, a key period during the COVID-19 pandemic.<h4>Methods</h4>Participants ...[more]

PMID: 33555336

Similar Datasets

Project description:Background and objectivesThis study aimed to examine the associations between multimorbidity at the COVID-19 pandemic onset and subsequent longitudinal trajectories of depressive symptoms, anxiety symptoms, and loneliness in middle-aged and older adults over a 12-month follow-up.Research design and methodsData were from monthly online questionnaires in the COVID-19 Coping Study of U.S. adults aged ≥55 from April/May 2020 through April/May 2021 (N = 4,024). Multimorbidity was defined as having ≥2 versus <2 chronic conditions at baseline. Mental health outcomes were assessed monthly as depressive symptoms (8-item Center for Epidemiologic Studies Depression scale), anxiety symptoms (5-item Beck Anxiety Inventory), and loneliness (3-item UCLA Loneliness Scale). We used multivariable-adjusted population- and attrition-weighted mixed-effects linear models to examine the longitudinal associations between multimorbidity and mental health symptoms.ResultsMultimorbidity at the pandemic onset was associated with elevated depressive (b = 0.37; 95% CI: 0.16-0.59) and anxiety (b = 0.39; 95% CI: 0.15-0.62) symptoms at baseline. Changes in symptoms for all three mental health outcomes were nonlinear over time, with worsening symptoms over the first 6 months of the pandemic (April/May to September/October 2020), followed by improvement in symptoms over the subsequent 6 months (September/October 2020 to April/May 2021). Middle-aged and older adults with multimorbidity experienced faster rates of change in anxiety symptoms and loneliness than those without multimorbidity, with persistently elevated mental health symptomatology throughout the follow-up.Discussion and implicationsResults highlight the unique and persistent mental health risks experienced by middle-aged and older adults with multimorbidity during the COVID-19 pandemic. The observed improvements in symptoms underscore the mental resilience of these individuals, indicating their adaptation to the ongoing pandemic.

Project description:BackgroundThis study characterized the prevalence, drinking patterns, and sociodemographic characteristics of U.S. adult subpopulations with distinct drinking trajectories during the COVID-19 pandemic's first 42 weeks.MethodsAdult respondents (n = 8130) in a nationally representative prospective longitudinal study completed 21 biweekly web surveys (March 2020 to January 2021). Past-week alcohol drinking frequency (drinking days [range: 0 to 7]) and intensity (binge drinking on usual past-week drinking day [yes/no]) were assessed at each timepoint. Growth mixture models identified multiple subpopulations with homogenous drinking trajectories based on mean drinking days or binge drinking proportional probabilities across time.ResultsFour drinking frequency trajectories were identified: Minimal/stable (72.8% [95% CI = 71.8 to 73.8]) with <1 mean past-week drinking days throughout; Moderate/late decreasing (6.7% [95% CI = 6.2 to 7.3) with 3.13 mean March drinking days and reductions during summer, reaching 2.12 days by January 2021; Moderate/early increasing (12.9% [95% CI = 12.2 to 13.6) with 2.13 mean March drinking days that increased in April and then plateaued, ending with 3.20 mean days in January 2021; and Near daily/early increasing (7.6% [95% CI = 7.0 to 8.2]) with 5.58 mean March drinking days that continued increasing without returning to baseline. Four drinking intensity trajectories were identified: Minimal/stable (85.8% [95% CI = 85.0% to 86.5%]) with <0.01 binge drinking probabilities throughout; Low-to-moderate/fluctuating (7.4% [95% CI = 6.8% to 8%]) with varying binge probabilities across timepoints (range:0.12 to 0.26); Moderate/mid increasing (4.2% [95% CI = 3.7% to 4.6%]) with 0.39 April binge drinking probability rising to 0.65 during August-September without returning to baseline; High/early increasing trajectory (2.7% [95% CI = 2.3% to 3%]) with 0.84 binge drinking probability rising to 0.96 by June without returning to baseline. Males, Whites, middle-aged/older adults, college degree recipients, those consistently working, and those above the poverty limit were overrepresented in various increasing (vs. minimal/stable) frequency trajectories. Males, Whites, nonmarried, those without college degree, 18 to 39-year-olds, and middle aged were overrepresented in increasing (vs. minimal/stable) intensity trajectories.ConclusionsSeveral distinct U.S. adult sociodemographic subpopulations appear to have acquired new drinking patterns during the pandemic's first 42 weeks. Frequent alcohol use assessment in the COVID-19 era could improve personalized medicine and population health efforts to reduce drinking.

Project description:Background/objectivesDifferences in older adults' worry, attitudes, and mental health between high-income countries with diverging pandemic responses are largely unknown. We compared COVID-19 worry, attitudes towards governmental responses, and self-reported mental health symptoms among adults aged ≥55 in the United States and Canada early in the COVID-19 pandemic.DesignOnline cross-sectional survey administered between April 2nd and May 31st in the United States and between May 1st and June 30th, 2020 in Canada.SettingNationally in the United States and Canada.ParticipantsConvenience sample of older adults aged ≥55.MeasurementsLikert-type scales measured COVID-19 worry and attitudes towards government support. Three standardized scales assessed mental health symptoms: the eight-item Center for Epidemiological Studies Depression Scale, the five-item Beck Anxiety Inventory, and the three-item UCLA loneliness scale.ResultsThere were 4453 U.S. respondents (71.7% women; mean age 67.5) and 1549 Canadian (67.6% women; mean age 69.3). More U.S. respondents (71%) were moderately or extremely worried about the pandemic, compared to 52% in Canada. Just 20% of U.S. respondents agreed or strongly agreed that the federal government cared about older adults in their COVID-19 pandemic response, compared to nearly two-thirds of Canadians (63%). U.S. respondents were more likely to report elevated depressive and anxiety symptoms compared to Canadians; 34.2% (32.8-35.6) versus 25.6% (23.3-27.8) for depressive and 30.8% (29.5-32.2) versus 23.7% (21.6-25.9) for anxiety symptoms. The proportion of United States and Canadian respondents who reported loneliness was similar. A greater proportion of women compared to men reported symptoms of depression and anxiety across all age groups in both countries.ConclusionU.S. older adults felt less supported by their federal government and had elevated depressive and anxiety symptoms compared to older adults in Canada during early months of the COVID-19 pandemic. Public health messaging from governments should be clear, consistent, and incorporate support for mental health.

Dataset Information

Trajectories of Mental Distress Among U.S. Adults During the COVID-19 Pandemic.

Background

Purpose

Methods

Results

Conclusions

Publications

Trajectories of Mental Distress Among U.S. Adults During the COVID-19 Pandemic.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets