Evidence map›Paper›PMID 34742299›Full record

ArticleInternational journal for equity in health2021

An empirical analysis of the impact of income inequality and social capital on physical and mental health - take China's micro-database analysis as an example.

Yuanyuan He, Lulin Zhou, Junshan Li, Jun Wu

Abstract read
In one paragraph

Article in International journal for equity in health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
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.

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3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Yuanyuan HeSchool of Management, Jiangsu University, Zhenjiang, 212002, Jiangsu, China.
Lulin ZhouSchool of Management, Jiangsu University, Zhenjiang, 212002, Jiangsu, China. 525939756@qq.com.
Junshan LiSchool of Economics and Management, Jiangxi University of Chinese Medicine, Nanchang, 330000, Jiangxi, China.
Jun WuSchool of Economics and Management, Jiangxi University of Chinese Medicine, Nanchang, 330000, Jiangxi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIncome inequality is one of the important reflections of the unbalanced development of the world economy and can have adverse effects on physical and mental health.

methodsThis article used the 2018 China Family Panel Studies Database as an empirical analysis data source. The Kakwani index (KI) was used to measure income inequality, and social capital was broken into cognitive social capital and structural social capital. Our assessment was conducted by using STATA16 software for ordered logistic regression, verifying income inequality, social capital on correlation between physical and mental health firstly; then by gradual regression methods to verify intermediary effect, and demonstrate the social capital as an intermediary variable affecting physical and mental health as income inequality.

resultThe income inequality has a significant negative effect on physical and mental health (β = - 0.964, - 0.381; OR = 0.382, 0.758; P < 0.01), Social capital has a significant effect on physical and mental health (Cognitive SC(MH): β = 0.146 and 0.104, OR = 1.157 and 1.110, P < 0.01; Cognitive SC(PH): β = 0.046 and 0.069, OR = 1.047 and 1.071, P < 0.01; Structural SC(MH): β = - 0.005, 0.025 and 0.015, OR = 0.995, 1.025 and 1.015, P > 0.1, P < 0.01 and P < 0.01; Structural SC(PH): β = - 0.026, 0.009 and - 0.013, OR = 0.975, 1.009 and 0.987, P < 0.01, P > 0.1 and P < 0.01). Our analysis also showed that social capital (cognitive social capital and structural social capital) has an intermediary effect on physical and mental health due to income inequality.

conclusionThis study shows that income inequality can not only directly affect physical and mental health, but also through social capital intermediary utility indirectly affect physical and mental health, social capital has positive effects on physical and mental health. At the same time, income inequality and social capital's effects on physical and mental health exist regional differences, urban-rural differences, and gender differences. Therefore, in the development of special policies to support and take care of vulnerable groups, special attention needs to be paid to poor rural areas and female groups.

Indexed as

Social CapitalChinaFemaleHumansIncomeMental HealthSocioeconomic FactorsIncome inequalityIntermediary effectKakwani indexPhysical and mental healthSocial capital

Identifiers

PMID34742299
PMCPMC8571851

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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.