Evidence map›Paper›PMID 29738451›Full record

ArticleInternational journal of environmental research and public health2018

Understanding the Natural and Socioeconomic Factors behind Regional Longevity in Guangxi, China: Is the Centenarian Ratio a Good Enough Indicator for Assessing the Longevity Phenomenon?

Qucheng Deng, Yongping Wei, Yan Zhao, Xuerong Han, Juan Yin

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

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  11. Relationship between Air Pollution and Regional Longevity in Guangxi, China.International journal of environmental research and public health · 2019
    Article
  12. Article
  13. 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

5 authors.

Qucheng DengSchool of Earth and Environmental Sciences, The University of Queensland, Brisbane 4067, Australia. q.deng@uq.edu.au.
Yongping WeiSchool of Earth and Environmental Sciences, The University of Queensland, Brisbane 4067, Australia. yongping.wei@uq.edu.au.
Yan ZhaoSchool of Earth and Environmental Sciences, The University of Queensland, Brisbane 4067, Australia. yanzhao.cas@gmail.com.
Xuerong HanGuangxi Zhuang Autonomous Region Environmental Monitoring Center, Nanning 530028, China. amelly@yeah.net.
Juan YinDepartment of Management Science and Engineering, Guangxi University of Finance and Economics, Nanning 530003, Guangxi, China. yinjuan101@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite a number of longevity indicators having been used in previous longevity studies, few studies have critically evaluated whether these indicators are suitable to assess the regional longevity level. In addition, an increasing number of studies have attempted to determine the influence of socioeconomic and natural factors on regional longevity, but only certain factors were considered. This study aims to bridge this gap by determining the relationship between the 7 longevity indicators and selecting 24 natural and socioeconomic indicators in 109 selected counties and urban districts in Guangxi, China. This study has applied spatial analysis and geographically weighted regression as the main research methods. The seven longevity indicators here refer to centenarian ratio, longevity index, longevity level, aging tendency, 80⁺ ratio, 90⁺ ratio, and 95⁺ ratio. Natural indicators in this study mainly refer to atmospheric pressure, temperature, difference in temperature, humidity, rainfall, radiation, water vapor, and altitude. Socioeconomic indicators can be categorized into those related to economic status, education, local infrastructure, and health care facilities. The results show that natural factors such as the difference in temperature and altitude, along with socioeconomic factors such as GDP, might be the most significant contributors to the longevity of people aged 60⁻90 years in Guangxi. The longevity index and longevity level are useful supplementary indexes to the centenarian ratio for assessing the regional longevity.

Indexed as

AgingSocioeconomic FactorsAged, 80 and overChinaClimateFemaleHealth Status IndicatorsHumansLongevityMaleSpatial AnalysisSpatial Regressiongeographically weighted regressionGuangxinatural and socioeconomic indicatorsregional longevityspatial analysis

Identifiers

PMID29738451
PMCPMC5981977

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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.