Evidence map›Paper›PMID 36213695›Full record

ArticleInternational journal of disaster risk reduction : IJDRR2022

Perceived stress during COVID-19: Community resilience three years before the pandemic as a protective factor.

Ohad Gilbar, Marc Gelkopf, Talya Greene

Abstract read
In one paragraph

Article in International journal of disaster risk reduction : IJDRR, 2022. 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
–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

6 citing papers in PubMed.

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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

3 authors.

Ohad GilbarUniversity of Haifa, Department of Community Mental Health, Israel.
Marc GelkopfUniversity of Haifa, Department of Community Mental Health, Israel.
Talya GreeneUniversity of Haifa, Department of Community Mental Health, Israel.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Research indicates that stress increased across the globe after the outbreak of the COVID-19 pandemic. Community resilience has been suggested as a central protective factor for stress related to disasters and emergency crises. This study examined the contribution of community resilience reported three years prior to the onset of the COVID-19 pandemic, together with related worries and personal risk factors, to perceived stress among Israeli adults following the first wave of COVID-19 in Israel. We performed a two-period 3-year longitudinal study (Period 1 [P1]: July-September 2017; Period 2: [P2] May-June 2020). The final sample included 578 participants. Participants completed a community resilience self-report questionnaire during P1 as well as measures regarding perceived stress and COVID-19 worries during P2. Using linear hierarchical regression, we tested the additional explanatory effect of community resilience and found it to be negatively associated with perceived stress. While health-related worries were not significantly associated with perceived stress, worries related to the functioning of governmental and health institutions regarding the COVID-19 pandemic were significantly associated with perceived stress. Additionally, being single, living in a smaller residence and income reduction during the pandemic predicted higher perceived stress. The current study highlights the potential buffering role of community resilience in protecting against COVID-19 stress. Assessing community resilience may help identify vulnerable groups, and focusing on community building may be an effective strategy to mitigate stress in future disasters.

Indexed as

Community resilienceCOVID-19 pandemicGovernment trustPerceived stressRisk factors

Identifiers

PMID36213695
PMCPMC9529673

What OpenQuestion holds

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Registered trials

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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.