Evidence map›Paper›PMID 36891594›Full record

ArticlePsychiatry investigation2023

Time-Series Trends of Depressive Levels of Korean Adults During the 2020 COVID-19 Pandemic in South Korea.

Seok-Joo Kim, Sunju Sohn, Yun-Kyeung Choi, Jinhee Hyun, Heeguk Kim, Jong-Sun Lee, So Hee Lee, Yu-Ri Lee, Jong-Woo Paik

Abstract read
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Article in Psychiatry investigation, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Seok-Joo KimDepartment of Social Welfare, Daegu University, Gyeongsan, Republic of Korea.
Sunju SohnDepartment of Social Welfare, Cheongju University, Cheongju, Republic of Korea.
Yun-Kyeung ChoiDepartment of Psychology, Keimyung University, Daegu, Republic of Korea.
Jinhee HyunDepartment of Social Welfare, Daegu University, Gyeongsan, Republic of Korea.
Heeguk KimDepartment of Social Welfare, Sangji University, Wonju, Republic of Korea.
Jong-Sun LeeDepartment of Psychology, Kangwon National University, Chuncheon, Republic of Korea.
So Hee LeeDepartment of Psychiatry, National Medical Center, Seoul, Republic of Korea.
Yu-Ri LeeDepartment of Social Welfare, Nambu University, Gwangju, Republic of Korea.
Jong-Woo PaikDepartment of Psychiatry, Kyung Hee University College of Medicine, Seoul, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study aimed to observe the changes in people's depressive levels over 9 months since the coronavirus disease of 2019 (COVID-19) outbreak as well as to identify the predictors of people's depressive levels including COVID-19 infection fear in the context of South Korea in 2020.

methodsFor these purposes, four cross-sectional surveys were periodically implemented from March to December 2020. We randomly recruited 6,142 Korean adults (aged 19 to 70) by using a quota survey. Along with descriptive analysis, which included a one-way analysis of variance and correlations, multiple regression models were built to identify the predictors of people's depressive levels during the pandemic.

resultsOverall, people's depressive levels and fear of COVID-19 infection gradually increased since the COVID-19 outbreak. In addition to demographic variables (i.e., being a female, young age, unemployed, and living alone) and the duration of the pandemic, people's COVID-19 infection fear was associated with their depressive levels.

conclusionTo ameliorate these rising mental health issues, access to mental health services should be secured and expanded, particularly for individuals who present greater vulnerabilities due to socioeconomic characteristics that may affect their mental health.

Indexed as

COVID-19COVID-19 infection fearDepressionDisasterPHQ-9

Identifiers

PMID36891594
PMCPMC9996145

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LicenceCC BY-NC
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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.