Evidence map›Paper›PMID 32290342›Full record

ArticleHealthcare (Basel, Switzerland)2020

Influencing Factors and Countermeasures of the Health of Residents in the City Clusters Along the Middle Reaches of the Yangtze River.

Qizhong Deng, Yuyan Yi, Keming Yu

Abstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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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

5 citing papers in PubMed.

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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.

Qizhong DengSchool of Business, Hunan University of Science and Technology, Xiangtan 411201, China.
Yuyan YiSchool of Business, Hunan University of Science and Technology, Xiangtan 411201, China.
Keming YuDepartment of Mathematics, Brunel University London, London UB83PH, UK.

Funding

Hunan Provincial Association of Social Sciences think tank project ZK2019031Hunan Provincial Student's Innovation and Entrepreneurship training program S201910534022
6 · The paper itself

Abstract

This paper introduces several factors, namely, environmental pollution, medical level and environmental governance, into the Grossman's production function for health. Then, an empirical analysis was conducted based on the 2004-2016 panel data of the city clusters along the middle reaches of the Yangtze River. Through the analysis, the author evaluated and compared how different factors affect the health of residents in the three city clusters: Changsha-Zhuzhou-Xiangtan (CZT) city cluster, Wuhan city cluster and circum-Poyang Lake (CPL) city cluster. The results show that: (1) In all three city clusters, economic growth can effectively improve the health of residents, and environmental pollution is also a key influencing factor of the health of residents. (2) Medical level has a close correlation with the health of residents. In the CZT city cluster, the medical level is positively correlated with the health of residents; in the CPL city cluster, the correlation is negative and takes the shape of an inverted U in the long run. (3) In all three city clusters, the environmental governance has an inverted U-shape correlation with the health of residents, indicating that environmental governance is not enough to promote the health of residents. Finally, several countermeasures were put forward to enhance the health of residents in the study area. The research findings shed new light on policymaking for the health of residents.

Indexed as

health of residentsmedical levelproduction function for healththe city clusters along the middle reaches of the Yangtze river

Identifiers

PMID32290342
PMCPMC7349087

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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.