Evidence map›Paper›PMID 36054108›Full record

ArticlePloS one2022

Mood symptoms predict COVID-19 pandemic distress but not vice versa: An 18-month longitudinal study.

Benjamin A Katz, Iftah Yovel

Erratum issuedAbstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. The Impact of the COVID-19 Pandemic on the Severity of Alcohol Use Disorder: Significance of Dual Disorders.International journal of environmental research and public health · 2023
    Article
  4. Article
  5. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Benjamin A KatzThe Hebrew University of Jerusalem, Jerusalem, Israel.ORCID 0000-0003-0849-5071
Iftah YovelThe Hebrew University of Jerusalem, Jerusalem, Israel.ORCID 0000-0003-0483-2456

Funding

IRACDA - The New York Consortium for the Advancement of Postdoctoral Scholars (NY CAPS)Phase IIK12GM102778 · NIGMS · STATE UNIVERSITY NEW YORK STONY BROOK · PI Carol A. Carter, Karian Janice Wright · 2012 to 2026
$13.1M
NIGMS NIH HHS K12 GM102778
6 · The paper itself

Abstract

The COVID-19 pandemic has had medical, economic and behavioral implications on a global scale, with research emerging to indicate that it negatively impacted the population's mental health as well. The current study utilizes longitudinal data to assess whether the pandemic led to an increase in depression and anxiety across participants or whether a diathesis-stress model would be more appropriate. An international group of 218 participants completed measures of depression, anxiety, rumination and distress intolerance at two baselines six months apart as well as during the onset of the COVID-19 pandemic exactly 12 months later. Contrary to expectations, depression, rumination, and distress intolerance were at equivalent levels during the pandemic as they were at baseline. Anxiety was reduced by a trivial degree (d = .10). Furthermore, a comparison of quantitative explanatory models indicated that symptom severity and pandemic-related environmental stressors predicted pandemic-related distress. Pandemic-related distress did not predict symptom severity. These findings underscore the necessity of longitudinal designs and diathesis-stress models in the study of mental health during the COVID-19 pandemic. They also emphasize that individuals with higher rates of baseline psychopathology are as particularly at risk for higher levels of distress in response to disaster-related stressors.

Indexed as

COVID-19PandemicsAnxietyDepressionDisease SusceptibilityHumansLongitudinal Studies

Identifiers

PMID36054108
PMCPMC9439223

What OpenQuestion holds

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LicenceCC BY
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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.