Evidence map›Paper›PMID 39540097›Full record

ArticleFrontiers in public health2024

Bridging the gap: how education transforms health outcomes and influences health inequality in rural China.

Jingyuan Chen, Longbao Wei, Faiza Manzoor

Abstract read
In one paragraph

Article in Frontiers in public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
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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.

Jingyuan Chen *School of Management, Zhejiang University, Hangzhou, China.
Longbao Wei *Department of Agricultural Economics and Management, School of Public Affairs, Zhejiang University, Hangzhou, China.
Faiza Manzoor *Department of Agricultural Economics and Management, School of Public Affairs, Zhejiang University, Hangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study focuses on the impact of education on health and health inequalities in rural areas of China. Education significantly enhances economic status and health, driving economic growth and improving public health standards. Integral to the "Healthy China Strategy," it provides essential guidance for public policy and underscores the need for strategic human capital investments to achieve these goals. The study utilizes data from the China Family Panel Studies (CFPS) spanning 2010-2020 and employs the average educational level within counties as an instrumental variable. The causal impact of education on health and health inequalities is estimated using the two-stage least squares (2SLS) method. The findings reveal a significant positive correlation between enhancing education levels and health improvements. Specifically, after controlling for endogeneity, the duration of individual education significantly improves both subjective and objective health outcomes. It reduces health inequalities, with these effects being more pronounced among women and low-income groups. Mechanistically, education positively impacts health primarily by altering health behaviors and social network levels and reducing health inequalities through socio-economic factors. This paper provides important implications for public policy, suggesting that enhancing educational investments can drive economic development and improve population health standards.

Indexed as

Educational StatusHealth Status DisparitiesRural PopulationAdultChinaFemaleHumansMaleMiddle AgedSocioeconomic Factorscausel effecteducationhealth inequalityrural Chinarural residents’ health

Identifiers

PMID39540097
PMCPMC11557493

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.