Evidence map›Paper›PMID 35228058›Full record

ArticleHealth & place2022

Pre-pandemic individual- and community-level social capital and depressive symptoms during COVID-19: A longitudinal study of Japanese older adults in 2019-21.

Koryu Sato, Naoki Kondo, Katsunori Kondo

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Article in Health & place, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
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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

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3 · Its place in the literature

Who cites it

18 citing papers in PubMed.

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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.

Koryu SatoDepartment of Social Epidemiology, Graduate School of Medicine and School of Public Health, Kyoto University, Kyoto, Japan. Electronic address: sato.koryu.8i@kyoto-u.ac.jp.
Naoki KondoDepartment of Social Epidemiology, Graduate School of Medicine and School of Public Health, Kyoto University, Kyoto, Japan.
Katsunori KondoDepartment of Social Preventive Medical Sciences, Center for Preventive Medical Sciences, Chiba University, Chiba, Japan; Department of Gerontological Evaluation, Center for Gerontology and Social Science, National Center for Geriatrics and Gerontology, Aichi, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

During a pandemic, it is important to know whether social capital can mitigate the risk of mental disorders, given the restrictions on social interactions. However, evidence using longitudinal data is scarce. This study examined the association between pre-pandemic social capital and depressive symptoms during COVID-19 among older adults. We used longitudinal data from the Japan Gerontological Evaluation Study (JAGES), including 8291 participants aged 65 or older who were physically and cognitively independent and not depressed at baseline. We conducted baseline and follow-up mail surveys in ten municipalities in Japan from November 2019 to January 2020 (pre-pandemic period) and from November 2020 to February 2021 (pandemic period), respectively. We measured depressive symptoms using the 15-item Geriatric Depression Scale. Social capital was measured with three validated subscales, namely, civic participation, social cohesion, and reciprocity. We performed a multilevel logistic regression analysis to examine the association. A total of 1089 (13.1%) participants newly developed depressive symptoms during the pandemic. The logistic regression showed that pre-pandemic individual-level social cohesion (odds ratio = 0.79, 95% confidence interval: 0.73 to 0.86) and reciprocity (0.89, 0.82 to 0.96) and community-level reciprocity (0.93, 0.88 to 0.98) were negatively associated with the odds of depressive symptoms. Even after adjusting for declines in social capital during the pandemic, the observed associations of pre-pandemic social capital remained. Fostering social cohesion and reciprocity may increase resilience to mental disorders during a pandemic of infectious disease.

Indexed as

COVID-19Social CapitalAgedDepressionHumansJapanLongitudinal StudiesPandemicsSocial ParticipationCOVID-19Depressive symptomsJapanese older adultsReciprocitySocial cohesion

Identifiers

PMID35228058
PMCPMC8872828

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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.