A model for spatial variations in life expectancy; mortality in Chinese regions in 2000.
BACKGROUND
Life expectancy in China has been improving markedly but health gains have been uneven and there is inequality in survival chances between regions and in rural as against urban areas. This paper applies a statistical modelling approach to mortality data collected in conjunction with the 2000 Census to formally assess spatial mortality contrasts in China. The modelling approach provides interpretable summary parameters (e.g. the relative mortality risk in rural as against urban areas) and is more parsimonious in terms of parameters than the conventional life table model.


RESULTS
Predictive fit is assessed both globally and at the level of individual five year age groups. A proportional model (age and area effects independent) has a worse fit than one allowing age-area interactions following a bilinear form. The best fit is obtained by allowing for child and oldest age mortality rates to vary spatially.


CONCLUSIONS
There is evidence that age (21 age groups) and area (31 Chinese administrative divisions) are not proportional (i.e. independent) mortality risk factors. In fact, spatial contrasts are greatest at young ages. There is a pronounced rural survival disadvantage, and large differences in life expectancy between provinces.
Congdon
Peter
P
Department of Geography, Queen Mary, University of London, London, UK. p.congdon@qmul.ac.uk
D002681:China; D005260:Female; D006801:Humans; D008017:Life Expectancy / Q000639:trends*; D015993:Life Tables; D008297:Male; D009026:Mortality / Q000639:trends*; D012737:Sex Factors; D012959:Socioeconomic Factors; D014505:Urban Population / Q000639:trends