Evidence map›Paper›PMID 36767514›Full record

ArticleInternational journal of environmental research and public health2023

Study on the Correlation between Life Expectancy and the Ecological Environment around the Cities along the Belt and Road.

Chang Li, Jing Wu, Dehua Li, Yan Jiang, Yijin Wu

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. 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

5 authors.

Chang LiKey Laboratory for Geographical Process Analysis & Simulation of Hubei Province, College of Urban and Environmental Science, Central China Normal University, Wuhan 430079, China.ORCID 0000-0003-2988-798X
Jing WuKey Laboratory for Geographical Process Analysis & Simulation of Hubei Province, College of Urban and Environmental Science, Central China Normal University, Wuhan 430079, China.
Dehua LiKey Laboratory for Geographical Process Analysis & Simulation of Hubei Province, College of Urban and Environmental Science, Central China Normal University, Wuhan 430079, China.
Yan JiangKey Laboratory for Geographical Process Analysis & Simulation of Hubei Province, College of Urban and Environmental Science, Central China Normal University, Wuhan 430079, China.ORCID 0000-0002-8480-6620
Yijin WuKey Laboratory for Geographical Process Analysis & Simulation of Hubei Province, College of Urban and Environmental Science, Central China Normal University, Wuhan 430079, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The impact of building the Belt and Road on the ecological environment and the health of the related cities along this belt deserves more attention. Currently, there are few relevant pieces of research in this area, and the problem of a time lag between the ecological environment and health (e.g., life expectancy, LE) has not been explored. This paper investigates the aforementioned problem based on five ecological indicators, i.e., normalized difference vegetation index, leaf area index, gross primary production (GPP), land surface temperature (LST), and wet, which were obtained from MODIS satellite remote-sensing products in 2010, 2015, and 2020. The research steps are as follows: firstly, a comprehensive ecological index (CEI) of the areas along the Belt and Road was calculated based on the principle of component analysis; secondly, the changes in the trends of the five ecological indicators and the CEI in the research area in the past 11 years were calculated by using the trend degree analysis method; then, the distributions of the cold and hot spots of each index in the research area were calculated via cold and hot spot analysis; finally, the time lag relationship between LE and the ecological environment was explored by using the proposed spatiotemporal lag spatial crosscorrelation analysis. The experimental results show that ① there is a positive correlation between LE and ecological environment quality in the study area; ② the ecological environment has a lagging impact on LE, and the impact of ecological indicators in 2010 on LE in 2020 is greater than that in 2015; ③ among the ecological indicators, GPP has the highest impact on LE, while LST and Wet have a negative correlation with LE.

Indexed as

Cold TemperatureEnvironmental MonitoringChinaCitiesLife ExpectancyRemote Sensing TechnologyTemperaturebelt and roadcomprehensive ecological indexecological environmentlife expectancyspatiotemporal lag spatial cross-correlation analysis

Identifiers

PMID36767514
PMCPMC9915909

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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.