ArticleScientific reports2015
Spatio-temporal distribution of human lifespan in China.
Article in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
- Relationship between Sn elemental background values and regional longevity levels-Data from Yunnan, China.PloS one · 2025Article
- Spatial characteristics of health outcomes and geographical detection of its influencing factors in Beijing.Frontiers in public health · 2024Article
- Study on the Correlation between Life Expectancy and the Ecological Environment around the Cities along the Belt and Road.International journal of environmental research and public health · 2023Article
- Spatial heterogeneity of human lifespan in relation to living environment and socio-economic polarization: a case study in the Beijing-Tianjin-Hebei region, China.Environmental science and pollution research international · 2022Article
- Exploring life expectancy and its social determinants in China: Enlightenment from a spatial and temporal framework.The Lancet regional health. Western Pacific · 2022Article
- Spatial variations and social determinants of life expectancy in China, 2005-2020: A population-based spatial panel modelling study.The Lancet regional health. Western Pacific · 2022Article
- Geographical distinctions of longevity indicators and their correlation with climatic factors in the area where most Chinese Yao are distributed.International journal of biometeorology · 2022Article
- Spatial Characteristics of Life Expectancy and Geographical Detection of Its Influencing Factors in China.International journal of environmental research and public health · 2020Article
- Quantitatively evaluate the environmental impact factors of the life expectancy in Tibet, China.Environmental geochemistry and health · 2019Article
- Spatial variations and macroeconomic determinants of life expectancy and mortality rate in China: a county-level study based on spatial analysis models.International journal of public health · 2019Article
- Understanding the Wellbeing of the Oldest-Old in China: A Study of Socio-Economic and Geographical Variations Based on CLHLS Data.International journal of environmental research and public health · 2019Article
- Disability and Its Influencing Factors among the Elderly in a County, Guangxi Province, China.International journal of environmental research and public health · 2018Article
- 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?International journal of environmental research and public health · 2018Article
- Influence of culture, residential segregation and socioeconomic development on rural elderly health-related quality of life in Guangxi, China.Health and quality of life outcomes · 2016Article
- Gender and ethnic health disparities among the elderly in rural Guangxi, China: estimating quality-adjusted life expectancy.Global health actionArticle
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Based on the data of latest three Chinese population censuses (1990-2010), four lifespan indicators were calculated: centenarians per one hundred thousand inhabitants (CH); longevity index (LI); the percentage of the population aged at least 80 years (ultra-octogenarian index, UOI) and life expectancy at birth (LEB). The spatio-temporal distributions of data at Chinese county level show that high-longevity areas (high values of CH and LI) and low-longevity areas (low CH and LI values) both exhibit clear non-uniformity of spatial distribution and relative immobility through time. Contrarily, the distribution of UOI and LEB shows a decline from the east to the west. The spatial autocorrelation analyses indicate less spatial dependency and several discontinuous clusters regions of high-CH and LI areas. The factors of temperature, topography and wet/dry climate lack of significant influence on CH and LI. It can be inferred that, in addition to genetic factor and living custom, some unique and long-term environmental effects may be related with high or low values of CH and LI.
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