Evidence map›Paper›PMID 30599055›Full record

ArticleEnvironmental geochemistry and health2019

Quantitatively evaluate the environmental impact factors of the life expectancy in Tibet, China.

Xinjie Zha, Yuan Tian, Xing Gao, Wei Wang, Chengqun Yu

Abstract read
PubMed Publisher
In one paragraph

Article in Environmental geochemistry and health, 2019. 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.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Exploring the Association between Oxygen Concentration and Life Expectancy in China: A Quantitative Analysis.International journal of environmental research and public health · 2023
    Article
  10. Article
  11. Article
  12. Article
  13. Spatial Characteristics of Life Expectancy and Geographical Detection of Its Influencing Factors in China.International journal of environmental research and public health · 2020
    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.

Xinjie ZhaState Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China.
Yuan TianUniversity of Chinese Academy of Sciences, Beijing, 100049, China.
Xing GaoState Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China. gxing@igsnrr.ac.cn.ORCID http://orcid.org/0000-0003-1199-527X
Wei WangState Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China.
Chengqun YuLhasa Plateau Ecosystem Research Station, Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China.

Funding

the National Science Foundation of China 41574036the Science and Technology Major Project of Tibet Z2016C01G01the Science Foundation of Tibet 2016ZR-15-76the Strategic Priority Research Program of the Chinese Academy of Sciences XDA19040305
6 · The paper itself

Abstract

Life expectancy is influenced by both innate human self-factors and external environmental factors. Due to the individual difference of self-factors, the external environment impacts on life expectancy are especially important under the geoscience perspective. However, few studies discussed impacts of various socioeconomic and environmental factors comprehensively, and quantitative analysis of multi-factors is lacking. We chose 13 potential factors of socio-economy, ecological environment, geological environment and geographical environment to quantitatively analyze their impacts and their interactive influences on Tibet's life expectancy in 2010 by using geographical detector (Geodetector) algorithm, and figure out their suitable ranges or types. Our results indicated that the high life expectancy at birth in Tibet are distributed like a strip; the main control factor of life expectancy in Tibet is socioeconomy, followed by geological environment; furthermore, the highest range of socioeconomic factors and the igneous rock exposed areas correspond to the maximum value of life expectancy at birth; factors of ecological environment have a certain impact on the life expectancy of Tibetan residents, while factors of geographical environment have few effects on the life expectancy. Lower radiation, moderate temperature and rainfall may have favorable effects on the increase in the life expectancy. The life expectancy of Tibet is mainly affected by socioeconomy, geological and ecological environment; interactions between these factors can increase the impact on the life expectancy of Tibet. Consequently, this study can better understand the impact factors of the life expectancy in Tibet and could provide a reference basis for local government's policy making of relocation and population management.

Indexed as

Life ExpectancyAgedAged, 80 and overAlgorithmsAltitudeEnvironmentFemaleGross Domestic ProductHumansMalePlantsSocioeconomic FactorsTemperatureTibetEnvironmental impact factorGeodetectorLife expectancyTibet

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.