Evidence map›Paper›PMID 36917277›Full record

ArticleSocial psychiatry and psychiatric epidemiology2023

Patterns and predictors of depressive and anxiety symptoms within a population-based sample of adults diagnosed with COVID-19 in Michigan.

Andrea R Titus, Briana Mezuk, Jana L Hirschtick, Patricia McKane, Michael R Elliott, Nancy L Fleischer

Abstract read
In one paragraph

Article in Social psychiatry and psychiatric epidemiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Andrea R TitusDepartment of Population Health, NYU Grossman School of Medicine, 180 Madison Avenue, New York, NY, 10016, USA. andrea.titus@nyulangone.org.ORCID http://orcid.org/0000-0001-7586-643X
Briana MezukDepartment of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA.
Jana L HirschtickDepartment of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA.
Patricia McKaneLifecourse Epidemiology and Genomics Division, Michigan Department of Health and Human Services, Lansing, MI, USA.
Michael R ElliottDepartment of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, MI, USA.
Nancy L FleischerDepartment of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA.

Funding

NYU Training Program in Healthcare Delivery Science and Population Health ResearchT32HS026120 · AHRQ · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI HORWITZ, LEORA, SCHWARTZ, MARK D · 2018 to 2023
$3.4M
AHRQ HHS T32 HS026120
6 · The paper itself

Abstract

purposeThe COVID-19 pandemic has had wide-ranging impacts on mental health, however, less is known about predictors of mental health outcomes among adults who have experienced a COVID-19 diagnosis. We examined the intersection of demographic, economic, and illness-related predictors of depressive and anxiety symptoms within a population-based sample of adults diagnosed with COVID-19 in the U.S. state of Michigan early in the pandemic.

methodsData were from a population-based survey of Michigan adults who experienced a COVID-19 diagnosis prior to August 1, 2020 (N = 1087). We used weighted prevalence estimates and multinomial logistic regression to examine associations between mental health outcomes (depressive symptoms, anxiety symptoms, and comorbid depressive/anxiety symptoms) and demographic characteristics, pandemic-associated changes in accessing basic needs (accessing food/clean water and paying important bills), self-reported COVID-19 symptom severity, and symptom duration.

resultsRelative risks for experiencing poor mental health outcomes varied by sex, age, race/ethnicity, and income. In adjusted models, experiencing a change in accessing basic needs associated with the pandemic was associated with higher relative risks for anxiety and comorbid anxiety/depressive symptoms. Worse COVID-19 symptom severity was associated with a higher burden of comorbid depressive/anxiety symptoms. "Long COVID" (symptom duration greater than 60 days) was associated with all outcomes.

conclusionAdults diagnosed with COVID-19 may face overlapping risk factors for poor mental health outcomes, including pandemic-associated disruptions to household and economic wellbeing, as well as factors related to COVID-19 symptom severity and duration. An integrated approach to treating depressive/anxiety symptoms among COVID-19 survivors is warranted.

Indexed as

COVID-19AdultAnxietyCOVID-19 TestingDepressionHumansMichiganPandemicsAnxietyCOVID-19DepressionEpidemiologyMental health

Identifiers

PMID36917277
PMCPMC10013232

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.