Social network, perceived satisfaction with neighborhoods and depressive symptoms among older adults in Korea.

Jeehye Lee, Ji-Eun Lee, Seonji Kim, Hye Sook Min, Kyung-Shin Lee

Abstract read

In one paragraph

Article in Scientific reports, 2025. 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

–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

1 citing paper in PubMed.

Psychosocial Predictors of Anxiety and Depression in Community-Dwelling Older Adults During a Prolonged Infectious Disease Crisis.Healthcare (Basel, Switzerland) · 2025
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

5 authors.

Jeehye LeeDepartment of Preventive Medicine, College of Medicine, Konkuk University, Chungju-si, 27478, South Korea.

Ji-Eun LeeDepartment of Human Systems Medicine, College of Medicine, Seoul National University, Seoul, 03080, South Korea.

Seonji KimDepartment of Biomedical Systems Informatics, Yonsei University College of Medicine, Seoul, 03722, South Korea.

Hye Sook MinPublic Healthcare Research Institute, National Medical Center, 04564, Seoul, South Korea.

Kyung-Shin LeeCenter for Public Healthcare Policy, National Medical Center, 245, Eulji-ro, Jung-gu, Seoul, 04564, South Korea. kslee0116@nmc.or.kr.

Funding

National Research Foundation of Korea (NRF) grant RS-2023-00212181

6 · The paper itself

Abstract

The coronavirus disease 2019 (COVID-19) pandemic has significantly affected social networks and perceived satisfaction with neighborhoods, potentially affecting the mental health of older adults. This study investigated the changes in these factors and their association with depressive symptoms among Korean older adults before and during the COVID-19 pandemic. The prevalence of depressive symptoms slightly increased during the pandemic (4.7-4.9%). Social networks weakened, whereas perceived neighborhood satisfaction improved. Notably, the protective effect of social networks against depressive symptoms became stronger during the pandemic, particularly among low-income individuals and those living in rural areas. Maintaining social networks is essential for promoting mental health resilience among older adults, especially during crises. Policymakers should thus prioritize interventions that strengthen community cohesion, provide governmental support, and facilitate social networking opportunities for vulnerable populations.

Indexed as

COVID-19DepressionPersonal SatisfactionSocial NetworkingAgedAged, 80 and overFemaleHumansMaleMental HealthMiddle AgedNeighborhood CharacteristicsPandemicsPrevalenceRepublic of KoreaResidence CharacteristicsCOVID-19 pandemicDepressive symptomsDifference-in-differencesPerceived satisfaction with the neighborhoodSocial networks

Identifiers

PMID41309739

DOI10.1038/s41598-025-26332-2

PMCPMC12660700

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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.