Evidence map›Paper›PMID 40606109›Full record

ArticleFrontiers in public health2025

The impact of

Wei Wu, Shuoxuan Zhang, Lei Zhao, Jiawei Gao

Abstract read
In one paragraph

Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Wei WuBusiness School of Jiangsu University of Science and Technology, Zhangjiagang, China.
Shuoxuan ZhangSchool of Economics and Management, Southeast University, Nanjing, China.
Lei ZhaoMinistry of Agriculture and Rural Affairs of the People's Republic of China, Beijing, China.
Jiawei GaoNational School of Development and Policy, Southeast University, Nanjing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study investigates the health effects of in-situ urbanization utilizing panel data from the China Family Panel Studies (CFPS) tracking surveys of 2010, 2012, and 2014. Employing a difference-in-differences (DID) model, the analysis reveals a statistically significant positive impact of in-situ urbanization on individual health. Specifically, individuals subjected to in-situ urbanization policies exhibit a 6.7% reduction in the reported incidence of physical discomfort within the preceding two weeks. Heterogeneity in the health effects of in-situ urbanization is observed across demographic strata, including gender, age, and educational attainment. Notably, the health-enhancing effects are more pronounced for female respondents compared to their male counterparts. Furthermore, a discernible age-related disparity is evident, with individuals below the age of 60 demonstrating significant health improvements, while those aged 60 and above do not manifest statistically significant health gains. In terms of educational attainment, individuals with educational levels below high school experience a greater magnitude of health improvement attributable to in-situ urbanization. The mechanism through which in-situ urbanization improves individual health is mediated by an increase in household income. Structurally, this income augmentation is characterized by an increase in operating and property income, coupled with a concomitant decrease in transfer income. Consequently, the elevation of operating and property income emerges as a salient intermediate mechanism facilitating the health improvement effects of in-situ urbanization.

Indexed as

Health StatusUrbanizationAdolescentAdultAgedChinaEducational StatusFemaleHumansMaleMiddle AgedSocioeconomic FactorsSurveys and QuestionnairesYoung AdultCFPSdifference-in-differenceshealthhousehold incomein-situ urbanization

Identifiers

PMID40606109
PMCPMC12215529

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.