Evidence map›Paper›PMID 37295775›Full record

ArticleJournal of the Academy of Consultation-Liaison Psychiatry

Identifying the Bridge Between Anxiety Response to COVID-19 and Depression Symptoms in General Population: A Network Analysis.

Eun Jung Cha, Sooyeon Suh, Hong Jun Jeon, Seockhoon Chung

Open access · greenAbstract read
In one paragraph

Article in Journal of the Academy of Consultation-Liaison Psychiatry. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.3field-weighted citation impact, top 20% 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

1 citing paper in PubMed, 5 citations in OpenAlex.

  1. Article
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 3 institutions in 1 country.

Eun Jung ChaDepartment of Psychiatry, Konkuk University Medical Center, Konkuk University School of Medicine, Seoul, Republic of Korea.
Sooyeon SuhDepartment of Psychology, Sungshin Women's University, Seoul, Republic of Korea.
Hong Jun JeonDepartment of Psychiatry, Konkuk University Medical Center, Konkuk University School of Medicine, Seoul, Republic of Korea. Electronic address: hjjeon@kuh.ac.kr.
Seockhoon ChungDepartment of Psychiatry, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea. Electronic address: schung@amc.seoul.kr.
Konkuk University Medical Center · KRSungshin Women's University · KRUlsan College · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPrevious studies have suggested links between anxiety response to the novel coronavirus (COVID-19) and depression symptoms in general population. However, a symptom-level investigation has not been reported.

objectiveThis study aimed to use network analysis to identify central symptoms and bridge symptoms that link COVID-19 anxiety and depression.

methodsData from 1788 participants were analyzed. Coronavirus anxiety and depression symptoms were measured using the Stress and Anxiety to Viral Epidemics-6 Items Scale and the Patient Health Questionnaire-9, respectively. Network analysis was performed using R.

resultsThe results revealed 'thoughts of suicide or self-harm' from Patient Health Questionnaire-9 and 'worry about others avoiding me' from Stress and Anxiety to Viral Epidemics-6 Items Scale as bridge symptoms. Findings suggest direct relationship between fear of social isolation and thoughts of suicide or self-harm. 'Feeling tired with little energy' and 'trouble concentrating' are strongly linked to 'thoughts of suicide or self-harm', suggesting these symptoms as risk factors for suicidal or self-injurious thoughts during the pandemic.

conclusionsThe findings suggest fear of social isolation as a risk factor for developing thoughts of suicide or self-harm. These results should be taken into account during evaluation of risk of suicide or mental health interventions for the pandemic.

Indexed as

COVID-19SuicideAnxietyAnxiety DisordersDepressionHumansanxietyCOVID-19depressionnetwork analysissocial isolationsuicidal thoughts

Identifiers

PMID37295775
PMCPMC10247300
OpenAlexW4380050796

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.