Evidence map›Paper›PMID 36548289›Full record

ArticlePloS one2022

Assessing the health impacts of the urban expansion of small cities in China: A case study of Jiawang.

Yifu Ge, Zhongyu He

Abstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
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

2 authors.

Yifu GeSchool of Architecture and Urban Planning, Nanjing University, Nanjing, China.
Zhongyu HeSchool of Architecture and Urban Planning, Nanjing University, Nanjing, China.ORCID 0000-0001-7790-679X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Empirical studies undertaken in developed countries have shown that urban expansion may exert both positive and negative impacts on residents' health, depending on the planning strategy; however, the impact of rapid urban expansion on public health in developing countries is understudied. This paper takes Jiawang, China, as an example of rapid urban expansion and carries out a health impact assessment (HIA) on its regulatory detailed plan to better understand the interaction of the built environment and public health. We establish an HIA framework and select a series of indicators as health determinants. On this basis, we examine what impact the urban expansion will exert on the health equity of the residents by conducting a bivariate spatial autocorrelation. The finding shows that:1) Urban expansion produces positive health impact through the health determinants of public facilities, road transportation and land use. 2) Urban expansion will reduce health disparities between the old and new town and between the urban and suburban areas, especially between the old and new town. 3) The impact of expansion exerts on health equity will be generally positive. Low-income neighborhoods in the old town will significantly benefit from urban expansion in terms of road traffic and land use, but will not fully benefit in terms of public facilities. Low-income neighborhoods will no longer benefit from the accessibility to commercial facilities and will suffer from health inequities in terms of accessibility to healthcare facilities. 4) The government's development strategy of emphasizing on an even distribution of public resources will unintentionally contribute to improving health equity. The significant promotion of health equity will mitigate the negative impacts of the previous urban development.

Indexed as

Built EnvironmentResidence CharacteristicsChinaCitiesHumansSpatial Analysis

Identifiers

PMID36548289
PMCPMC9778500

What OpenQuestion holds

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LicenceCC BY
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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.