Evidence map›Paper›PMID 41557634›Full record

ArticlePloS one2026

Urban density and depression during COVID-19 in Seoul: Moderating effects of social participation.

Junseong Park, Ja-Hoon Koo, Sungik Kang

Abstract read
In one paragraph

Article in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Junseong ParkDepartment of Urban and Regional Development, Hanyang University, Seoul, South Korea.
Ja-Hoon KooDepartment of Urban and Regional Development, Hanyang University, Seoul, South Korea.
Sungik KangInstitute of Urban Sciences, University of Seoul, Seoul, South Korea.ORCID https://orcid.org/0000-0002-9950-1264

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 pandemic, a global public health crisis, has had a profound and long-lasting impact on mental health worldwide. While existing studies on the pandemic have examined the relationship between urban characteristics and mental health, there remains a lack of understanding of the temporal distinctions of the pandemic, age-specific differences, and the role of social participation. This study empirically analyzed the relationship between COVID-19-related depressive symptoms and urban density characteristics, with a focus on the moderating effect of social participation by age group and pandemic phase. Using data from 25 Seoul districts in 2020 (initial phase) and 2021 (escalation phase), we measured depressive symptoms using a 10-point self-report scale. Urban density characteristics-population mobility density, residential density, and public transportation congestion-were derived from mobile phone signal data and building registries. We conducted ordinal logistic regression analyses with separate models for three age groups to examine associations between urban density, social participation, and depressive symptoms. First, the results revealed that population mobility density, residential density, and public transportation congestion were consistently positively associated with depressive symptoms across both study periods (2020 and 2021). Second, social participation significantly moderated the relationship between urban density characteristics and depressive symptoms, regardless of the pandemic phase. Third, the moderating effect of social participation on the relationship between urban density and depressive symptoms varied by age group. Specifically, these interaction effects were more pronounced among older adults. This study highlights the importance of understanding the complex relationships among urban density, social participation, and depressive symptoms during the COVID-19 pandemic.

Indexed as

COVID-19DepressionSocial ParticipationAdolescentAdultAgedFemaleHumansMaleMiddle AgedPandemicsPopulation DensitySARS-CoV-2SeoulUrban PopulationYoung Adult

Identifiers

PMID41557634
PMCPMC12818643

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LicenceCC BY
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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.