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Spatio-temporal distribution of human lifespan in China.

Wang S, Luo K, Liu Y - Sci Rep (2015)

Bottom Line: 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.

View Article: PubMed Central - PubMed

Affiliation: Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China.

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.

No MeSH data available.


Zonal distribution of natural geographic factors in China (schematic maps modified from references 16, 17). (A) Temperature zone regionalization; (B) Geomorphologic regionalization; (C) Dry/wet climate regionalization. The maps were created using Arc GIS Geographic Information Systems software version 10.0 (Environmental Systems Research Institute Inc, Redlands, Calif).
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f5: Zonal distribution of natural geographic factors in China (schematic maps modified from references 16, 17). (A) Temperature zone regionalization; (B) Geomorphologic regionalization; (C) Dry/wet climate regionalization. The maps were created using Arc GIS Geographic Information Systems software version 10.0 (Environmental Systems Research Institute Inc, Redlands, Calif).

Mentions: Some natural environmental factors exhibit a pattern of zonal distribution such as solar radiation, temperature, precipitation and so on. The identification of the differentiation and similarities among different areas and regionalization of these physical geographic factors in China had been conducted and mapped (Fig 5)1617. The relation between the changes of these parameters and lifespan indicators can be detected by using the Spearman’s rank correlation coefficients. In this paper, each variable of physical geographic factors at county level in China is ranked from lowest to highest. Then Spearman’s coefficients between these variables and lifespan indicators are derived. We computed Spearman’s rank correlation coefficient and its 99% confidence intervals to assess the relationship between variables of interest (Table 3).


Spatio-temporal distribution of human lifespan in China.

Wang S, Luo K, Liu Y - Sci Rep (2015)

Zonal distribution of natural geographic factors in China (schematic maps modified from references 16, 17). (A) Temperature zone regionalization; (B) Geomorphologic regionalization; (C) Dry/wet climate regionalization. The maps were created using Arc GIS Geographic Information Systems software version 10.0 (Environmental Systems Research Institute Inc, Redlands, Calif).
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4561879&req=5

f5: Zonal distribution of natural geographic factors in China (schematic maps modified from references 16, 17). (A) Temperature zone regionalization; (B) Geomorphologic regionalization; (C) Dry/wet climate regionalization. The maps were created using Arc GIS Geographic Information Systems software version 10.0 (Environmental Systems Research Institute Inc, Redlands, Calif).
Mentions: Some natural environmental factors exhibit a pattern of zonal distribution such as solar radiation, temperature, precipitation and so on. The identification of the differentiation and similarities among different areas and regionalization of these physical geographic factors in China had been conducted and mapped (Fig 5)1617. The relation between the changes of these parameters and lifespan indicators can be detected by using the Spearman’s rank correlation coefficients. In this paper, each variable of physical geographic factors at county level in China is ranked from lowest to highest. Then Spearman’s coefficients between these variables and lifespan indicators are derived. We computed Spearman’s rank correlation coefficient and its 99% confidence intervals to assess the relationship between variables of interest (Table 3).

Bottom Line: 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.

View Article: PubMed Central - PubMed

Affiliation: Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China.

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.

No MeSH data available.