Evidence map›Paper›PMID 32539825›Full record

ArticleBMC public health2020

Contextual effects of social integration and disintegration on health status: evidence from South Korea.

Eun-Bi Jo, Rang Hee Kwon, Minsoo Jung

Abstract read
In one paragraph

Article in BMC public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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.

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2 · The registry

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3 · Its place in the literature

Who cites it

3 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.

Eun-Bi JoDepartment of Health Science, College of Natural Science, Dongduk Women's University, 23-1 Wolgok-dong, Seongbuk-gu, Seoul, 136-714, South Korea.
Rang Hee KwonDepartment of Health Science, College of Natural Science, Dongduk Women's University, 23-1 Wolgok-dong, Seongbuk-gu, Seoul, 136-714, South Korea.
Minsoo JungDepartment of Health Science, College of Natural Science, Dongduk Women's University, 23-1 Wolgok-dong, Seongbuk-gu, Seoul, 136-714, South Korea. mins.jung@gmail.com.ORCID https://orcid.org/0000-0003-3317-6507

Funding

National Research Foundation of Korea NRF-2019R1F1A1042864
6 · The paper itself

Abstract

backgroundMany studies have shown that various social integration variables represented by social capital are beneficial to communities, including collective health. However, the rapid decline in fertility rates and the breakup of familyism in developed countries require a new approach to social disintegration, but the literature is insufficient. Here, we explored the contextual effects of social integration and social disintegration on the health of individuals.

methodsThe research data consist of merged datasets of 6909 respondents who were quota-sampled by approximately 30 people from 229 local governments in Korea. The individual-level independent variable is a social integration measure consisting of 26 questions in four areas. The community-level independent variables are five integral and aggregate variables extracted from 81 indicators. The dependent variable is self-rated health status. Potential confounders are gender, age, annual income, educational attainment, district type, and the number of beds in medical institutions per 1000 people.

resultsThe results showed that at the individual level, the higher the inclusive attitude of in- and out-of-networks, after adjusting for potential confounders, the less likely the respondent belongs to the unhealthy group (p < 0.001). At the community level, the higher the proportion of single-person households in a community after adjusting for potential confounders, the less likely the respondent belongs to the unhealthy group (p < 0.05). The effect size was 0.22.

conclusionThus far, social integration has been preferred, with the positive aspects of social capital being emphasized. However, this study shows that in some cases, social disintegration can instead positively influence an individual's health. Therefore, further studies of the various conditions of social context effects on health are necessary.

Indexed as

Diagnostic Self EvaluationHealth StatusSocial Determinants of HealthSocial IntegrationSocioeconomic FactorsAdultAgedAged, 80 and overFemaleHumansMaleMiddle AgedRepublic of KoreaSocial CapitalYoung AdultContextual effectsSocial disintegrationSocial integrationSouth Korea

Identifiers

PMID32539825
PMCPMC7296919

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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.