Objective: To explore the socioeconomic factors associated with life expectancy in Beijing, and to predict future trends.

Methods: The linear stepwise regression model was used to construct the relationship between life expectancy and socioeconomic factors.

Results: The model showed that there were four factors associated with life expectancy in Beijing. Floor space available per rural resident (P = 0.000) and GDP per capita (P = 0.022) correlated positively with life expectancy, while the rural population proportion (P = 0.010) and illiteracy rate (P = 0.001) correlated negatively with life expectancy.

Conclusion: There is a close relationship between life expectancy and socioeconomic factors. The constructed model can be used as a rapid tool to project life expectancy in Beijing. It is possible to improve life expectancy continuously with sustained development of socioeconomic conditions in Beijing, China.

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Source
http://dx.doi.org/10.1111/j.1756-5391.2009.01022.xDOI Listing

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