Assessments of provincial mortality in China's 2010 population census based on the Developing Countries Mortality Database model life table

Assessments of provincial mortality in China's 2010 population census based on the Developing Countries Mortality Database model life table
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DOI:
10.1007/s12546-021-09260-6
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发表时间:
2021-04-05
影响因子:
2
通讯作者:
Mi, Hong
Mi, Hong
中科院分区:
其他
文献类型:
--
作者:
Li, Cheng;Mi, Hong

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2010年中国人口普查省级死亡率数据支撑了区域死亡率差异的研究,但数据存在被低估的缺点。由于缺乏相关信息,关于2010年人口普查各省死亡率数据质量的研究很少。我们估计了各省对婴儿和老年死亡率的低估,使用发展中国家死亡率数据库模型生命表分析了地区差异,并为2010年人口普查重新计算了出生时和60岁时的性别预期寿命。结果表明,大多数省份的婴儿死亡率至少被低估了70%,东部和西南省份的相关数据质量要好于其他地区。老年死亡率低估率因省而异:东部、中南部和北部省份的低估程度低于西南、西北和东北省份。调整后,e(60)的省际差距为男生0 ~ 14.8岁,女生0 ~ 15.9岁,e(60)的省际差距为男生0 ~ 8.8岁,女生0 ~ 9.9岁。与2010年人口普查的报告值相比,预期寿命的性别差异有所增加。
The provincial mortality data of China's 2010 population census sustains the study of regional mortality disparities, but the data suffer from the disadvantage of underestimation. Due to the deficiency of relevant information, little research on the quality of province-specific mortality data has been published with respect to the 2010 census. We estimated provincial underestimation of infant and old-age mortality, analysed regional disparities using the Developing Countries Mortality Database model life table and re-calculated sex-specific life expectancy at birth and at age 60 for the 2010 census. Results show that in most provinces the infant mortality rate is underestimated by at least 70% and that the related data for the eastern and southwestern provinces show better quality than that of other areas. Old-age mortality underestimate rates vary among provinces: the eastern, south-central and northern provinces present less severe underestimations than the southwest, northwest and northeast provinces. After adjustments, the province gap in e(0) ranged from 0 to 14.8 years for boys and 0 to 15.9 years for girls, that in e(60) ranged from 0 to 8.8 years for men and 0 to 9.9 years for women. Sex differences in life expectancy increased compared to the reported values of the 2010 census.