Evidence map›Paper›PMID 34704087›Full record

ArticleBiological psychiatry global open science2021

Individual Differences in the Affective Response to Pandemic-Related Stressors in COVID-19 Health Care Workers.

Benjamin Zebley, Danielle Wolk, Mary McAllister, Charles J Lynch, Rachel Mikofsky, Conor Liston

Open access · goldAbstract read
In one paragraph

Article in Biological psychiatry global open science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.0field-weighted citation impact, top 21% of its field
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

6 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
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  5. Introduction to Special Issue on COVID-19 and Mental Health.Biological psychiatry global open science · 2021
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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 at 1 institution in 1 country.

Benjamin ZebleyDepartment of Psychiatry and the Brain and Mind Research Institute, Weill Cornell Medicine, New York, New York.
Danielle WolkDepartment of Psychiatry and the Brain and Mind Research Institute, Weill Cornell Medicine, New York, New York.
Mary McAllisterDepartment of Psychiatry and the Brain and Mind Research Institute, Weill Cornell Medicine, New York, New York.
Charles J LynchDepartment of Psychiatry and the Brain and Mind Research Institute, Weill Cornell Medicine, New York, New York.
Rachel MikofskyDepartment of Psychiatry and the Brain and Mind Research Institute, Weill Cornell Medicine, New York, New York.
Conor ListonDepartment of Psychiatry and the Brain and Mind Research Institute, Weill Cornell Medicine, New York, New York.
Cornell University · US

Funding

Efficacy of biomarker-guided rTMS for treatment resistant depressionR01MH118388 · NIMH · WEILL MEDICAL COLL OF CORNELL UNIV · PI BHATI, MAHENDRA T, GUNNING, FAITH M · 2019 to 2025
$6.2M
Regulation of prefrontal cortical circuit function and reward-seeking behavior by stress-induced dendritic spine remodelingR01MH118451 · NIMH · WEILL MEDICAL COLL OF CORNELL UNIV · PI Joshua Levitz, Conor M Liston · 2019 to 2026
$5.5M
Impact of BDNF on the Development of Social Behavior CircuitsR01MH123154 · NIMH · WEILL MEDICAL COLL OF CORNELL UNIV · PI LEE, FRANCIS SANG YONG, LISTON, CONOR M · 2020 to 2024
$3.0M
Prefrontal Cortical Microcircuit Mechanisms of Working Memory Deficits in Chronic StressR01MH109685 · NIMH · WEILL MEDICAL COLL OF CORNELL UNIV · PI LISTON, CONOR M · 2016 to 2020
$2.8M
Diagnostic and prognostic biomarkers for subtypes of addiction-related circuit dysfunctionR01DA047851 · NIDA · WEILL MEDICAL COLL OF CORNELL UNIV · PI GOLDSTEIN, RITA Z, LISTON, CONOR M · 2019 to 2022
$2.4M
NIDA NIH HHS R01 DA047851NIMH NIH HHS R01 MH109685NIMH NIH HHS R01 MH118388NIMH NIH HHS R01 MH118451NIMH NIH HHS R01 MH123154
6 · The paper itself

Abstract

backgroundWe investigated the evolving prevalence of mood and anxiety symptoms among health care workers from May 2020 to January 2021, risk factors for adverse outcomes, and characteristic modes of affective responses to pandemic-related stressors.

methodsA total of 2307 health care workers (78.9% female, modal age 25-34 years) participated in an online survey assessing depression (Patient Health Questionnaire-9) and anxiety (Generalized Anxiety Disorder-7 scale) symptoms, demographic variables, and self-reported impact of pandemic-related stressors. A total of 334 subjects were reassessed ∼6 months later.

resultsThe prevalence of clinically significant depression and anxiety was 45.3% and 43.3%, respectively, and a majority (59.9%-62.9%) of those individuals had persistent significant symptoms at 6-month follow-up. Younger age, female gender, and specific occupations (support staff > nurses > physicians) were associated with increased depressive and anxiety symptoms. The most important risk factors were social isolation and fear of contracting COVID-19. The prevalence of clinically significant mood and anxiety symptoms increased by 39.8% from May 2020 to January 2021. Patient Health Questionnaire-9 and Generalized Anxiety Disorder-7 scores were highly correlated and associated with nearly identical risk factors, suggesting that they are not capturing independent constructs in this sample. Principal component analysis identified seven orthogonal symptom domains with unique risk factors.

conclusionsClinically significant mood and anxiety symptoms are highly prevalent and persistent among health care workers, and are associated with numerous risk factors, the strongest of which are related to pandemic stressors and potentially modifiable. Interventions aimed at reducing social isolation and mitigating the impact of fear of infection warrant further study.

Indexed as

AnxietyCOVID-19DepressionDiagnostic heterogeneityStress

Identifiers

PMID34704087
PMCPMC8529885
OpenAlexW3205107837

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.