Evidence map›Paper›PMID 35411728›Full record

ArticleJournal of Korean medical science2022

Trends of Internet Search Volumes for Major Depressive Disorder Symptoms During the COVID-19 Pandemic in Korea: An Interrupted Time-Series Analysis.

Jieun Kim, Juhui Han, Byung Chul Chun

Abstract read
In one paragraph

Article in Journal of Korean medical science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
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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.

Jieun Kim *Department of Preventive Medicine, Korea University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0002-9194-2567
Juhui Han *Department of Preventive Medicine, Korea University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0002-9349-8236
Byung Chul ChunDepartment of Preventive Medicine, Korea University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0001-6576-8916

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe effect of coronavirus disease 2019 (COVID-19) pandemic on public mental health has been increasing. Additionally, the underlying psychological stressors remain unexplored, and few studies have been conducted nationally on the social distancing measures. Therefore, the present study aimed to identify the psychological impacts of the implementation of social distancing measures by analyzing the Internet search trends of major depressive disorder (MDD) symptoms.

methodsUsing Naver

resultsOf the 16 terms, the search trends of 'feeling guilty' (

conclusionOur results reported the negative effect of COVID-19 preventive measures on public mental health in South Korea, especially for MDD symptoms. Moreover, the findings suggested the utility of Naver Trends as a feasible big data source to assess future mental health crises.

Indexed as

COVID-19Major Depressive DisorderFemaleHumansInternetMalePandemicsPublic HealthCOVID-19Interrupted Time-Series AnalysisMajor Depressive DisorderPhysical Distancing

Identifiers

PMID35411728
PMCPMC9001188

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.