Evidence map›Paper›PMID 40996606›Full record

ArticleJournal of urban health : bulletin of the New York Academy of Medicine2025

Can New-type Urbanization Pave a Way against Depression? Evidence from a Quasi-Natural Experiment in China.

Jiayi Fang, Ninger Lou, Jiangyan Wang, Mingchuan Yu, Xing Su, Han Lin

Abstract read
In one paragraph

Article in Journal of urban health : bulletin of the New York Academy of Medicine, 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

6 authors.

Jiayi FangSchool of Economics and Management, Shanghai Institute of Technology, Shanghai, 201418, China.
Ninger LouSchool of Management and Engineering, Nanjing University, Nanjing, 210093, China.
Jiangyan WangSchool of Statistics and Data Science, Nanjing Audit University, Nanjing, 211815, China.
Mingchuan YuCollege of Business Administration, Ningbo University of Finance and Economics, Ningbo, 315175, China.
Xing SuBusiness School, Hohai University, Nanjing, 211100, China.
Han LinSchool of Engineering Audit, Nanjing Audit University, Nanjing, 211815, China. linhan@nau.edu.cn.ORCID http://orcid.org/0000-0001-5136-5059

Funding

National Natural Science Foundation of China 72271126
6 · The paper itself

Abstract

The escalating threat of depression demands urgent action from the research community. As a policy that prioritizes a people-centered approach, the New-type Urbanization Policy (NTU) holds promise for alleviating depression. However, whether and how NTU positively affects individual mental health remains underexplored. This study draws on three waves of data from the China Health and Retirement Longitudinal Survey (CHARLS) and employs the difference-in-differences (DID) method as a quasi-natural experiment to empirically analyze the effects of NTU on individual depression. The results indicate that NTU significantly reduces depression, with environmental pollution serving as a mediator in this relationship. Moreover, NTU's impact on depression reduction is more pronounced in non-resource-based cities and those with lower population concentration. Additionally, the ecosocial theory emphasizes that health arises from the biological embodiment of structural exposures embedded in social and ecological environments. Based on this theory, it serves as a theoretical framework for analyzing NTU's impact on depression. This study expands the existing research on pilot policies related to individual health and provides concrete policy recommendations for mitigating depression in the context of NTU implementation.

Indexed as

DepressionUrbanizationAgedChinaFemaleHumansLongitudinal StudiesMaleMiddle AgedDifference-in-differences (DID)Environmental pollutionIndividual depressionNew-type Urbanization Policy (NTU)

Identifiers

PMID40996606
PMCPMC12484513

What OpenQuestion holds

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Registered trials

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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.