The Nationwide Impact of Injury-related Deaths on Average Life Expectancy in China

To expand the evidence base to inform future public policy aimed at accident prevention, we investigated the impact of different categories of injury on average life expectancy in China. We used data from the National Death Cause Registration Information System and National Maternity and Children Health Surveillance databases, as well as 2010 population data from the National Bureau of Statistics. We then calculated the average life expectancy of the Chinese population, in addition to life expectancy after eliminating injury-related mortality. The average life expectancy of the Chinese population in 2010 was 74.93 years. After eliminating deaths due to injuries, the fourth leading cause of mortality in China, average life expectancy increased by 1.36 years. When this was broken down by population sub-groups, these gains were 1.76 and 0.79 years in men and women, 0.94 and 1.56 years in urban and rural residents, and 1.11, 1.30, and 1.67 years for residents in the Eastern, Central and Western regions respectively. After eliminating all categories of injury, the average life expectancy of the Chinese population was found to increase by 1.36 years. This figure was higher for males and residents of rural areas and Western China.

Test of Ordered Multivariate Discrete Selection Model for Average Life Expectancy

At present, there are significant regional differences in average life expectancy among countries in the world. Not only is there a great disparity in average life expectancy, but also the gender difference is positive and negative, and is distributed in a bipolar distribution of “long life in rich countries and short life in poor countries”. This paper analyzes the factors affecting the life grade by using the ordered multivariate discrete selection model and combined with the average life expectancy data of countries all over the world in 2017. The test results show that: 1) The growth of per capita GDP, elderly dependency ratio and the proportion of people using at least basic drinking water services can effectively improve the level of life expectancy;2) The birth rate has an inhibitory effect on the average life expectancy;3) Through model comparison, probit model is more suitable for the analysis of this kind of problems than logit model, and the properties of the obtained model are better.

Average life expectancy of the Chinese population in 1949-2019: trends, contributors and prospects

This paper provided an overview of literature on life expectancy of Chinese popu-lation,elaborated the characteristics of the significant increase in the average life expectancy(ALE)of Chinese population over the past 70 years since the founding of PRC,analyzed the major factors contributing to the improvement in the ALE,and highlight the needs to put greater emphasize to increase average healthy life expectancy(AHLE),to narrow the regional differences in AHLE,to advocate and promote healthy lifestyles,and to prevent and control pollution persistently and effectively.