Evidence map›Paper›PMID 34274788›Full record

ArticleJournal of affective disorders2021

The toll of a second lockdown: A longitudinal study.

Yaira Hamama-Raz, Robin Goodwin, Elazar Leshem, Menachem Ben-Ezra

Open access · greenAbstract read
In one paragraph

Article in Journal of affective disorders, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.3field-weighted citation impact, top 18% 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

7 citing papers in PubMed, 10 citations in OpenAlex.

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  2. The Interplay of Personal and Collective Resilience and Mental Health During Prolonged Conflict: Insights From Young Adults in Israel.Stress and health : journal of the International Society for the Investigation of Stress · 2025
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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

4 authors at 2 institutions in 2 countries.

Yaira Hamama-RazSchool of Social Work, Ariel University, Ariel, Israel. Electronic address: yairahr@ariel.ac.il.
Robin GoodwinDepartment of Psychology, University of Warwick, Coventry, United Kingdom.
Elazar LeshemSchool of Social Work, Ariel University, Ariel, Israel.
Menachem Ben-EzraSchool of Social Work, Ariel University, Ariel, Israel.
Ariel University · ILUniversity of Warwick · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background The mental health toll of a second lockdown during the COVID-19 pandemic has not been yet examined. The purpose of the study was to examine psychological predictors before the second lockdown and their impact on the prediction of ICD-11 probable Adjustment Disorder (AjD) after the second lockdown. Methods Using a longitudinal design we surveyed a national representative sample of the Israeli population before and after the second lockdown. In wave 1, 1029 were surveyed (Response Rate (RR) = 76.17%) and in Wave 2, 764 were surveyed (RR = 74.24%). Participants answer a questionnaire tapping COVID-19 stressful related events, uncertainty, probable depression predicting ICD-11 and probable AjD. Results The main predictors of AjD after the second lockdown were sex (OR = 1.868; p ≤0.01), having a COVID-19 occupational related stressful event (OR = 2.855; p <0.001), probable depression (OR = 2.520; p <0.001) and Uncertainty (OR = 4.485; p <0.001). Limitations We recognise the limitations of response bias. In addition, we did not measure pre COVID-19 mental health. Conclusions The study results show the mental toll of a second lockdown during the COVID-19 pandemic.

Indexed as

COVID-19PandemicsCommunicable Disease ControlHumansLongitudinal StudiesSARS-CoV-2

Identifiers

PMID34274788
PMCPMC8609472
OpenAlexW3178045159

What OpenQuestion holds

Textmetadata
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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.