Lancet. 2018 Nov 10;392(10159):1684-1735. doi: 10.1016/S0140-6736(18)31891-9. Epub 2018 Nov 8.
Assessments of age-specific mortality and life expectancy have been done by the UN Population Division, Department of Economics and Social Affairs (UNPOP), the United States Census Bureau, WHO, and as part of previous iterations of the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD). Previous iterations of the GBD used population estimates from UNPOP, which were not derived in a way that was internally consistent with the estimates of the numbers of deaths in the GBD. The present iteration of the GBD, GBD 2017, improves on previous assessments and provides timely estimates of the mortality experience of populations globally.
The GBD uses all available data to produce estimates of mortality rates between 1950 and 2017 for 23 age groups, both sexes, and 918 locations, including 195 countries and territories and subnational locations for 16 countries. Data used include vital registration systems, sample registration systems, household surveys (complete birth histories, summary birth histories, sibling histories), censuses (summary birth histories, household deaths), and Demographic Surveillance Sites. In total, this analysis used 8259 data sources. Estimates of the probability of death between birth and the age of 5 years and between ages 15 and 60 years are generated and then input into a model life table system to produce complete life tables for all locations and years. Fatal discontinuities and mortality due to HIV/AIDS are analysed separately and then incorporated into the estimation. We analyse the relationship between age-specific mortality and development status using the Socio-demographic Index, a composite measure based on fertility under the age of 25 years, education, and income. There are four main methodological improvements in GBD 2017 compared with GBD 2016: 622 additional data sources have been incorporated; new estimates of population, generated by the GBD study, are used; statistical methods used in different components of the analysis have been further standardised and improved; and the analysis has been extended backwards in time by two decades to start in 1950.
Globally, 18·7% (95% uncertainty interval 18·4-19·0) of deaths were registered in 1950 and that proportion has been steadily increasing since, with 58·8% (58·2-59·3) of all deaths being registered in 2015. At the global level, between 1950 and 2017, life expectancy increased from 48·1 years (46·5-49·6) to 70·5 years (70·1-70·8) for men and from 52·9 years (51·7-54·0) to 75·6 years (75·3-75·9) for women. Despite this overall progress, there remains substantial variation in life expectancy at birth in 2017, which ranges from 49·1 years (46·5-51·7) for men in the Central African Republic to 87·6 years (86·9-88·1) among women in Singapore. The greatest progress across age groups was for children younger than 5 years; under-5 mortality dropped from 216·0 deaths (196·3-238·1) per 1000 livebirths in 1950 to 38·9 deaths (35·6-42·83) per 1000 livebirths in 2017, with huge reductions across countries. Nevertheless, there were still 5·4 million (5·2-5·6) deaths among children younger than 5 years in the world in 2017. Progress has been less pronounced and more variable for adults, especially for adult males, who had stagnant or increasing mortality rates in several countries. The gap between male and female life expectancy between 1950 and 2017, while relatively stable at the global level, shows distinctive patterns across super-regions and has consistently been the largest in central Europe, eastern Europe, and central Asia, and smallest in south Asia. Performance was also variable across countries and time in observed mortality rates compared with those expected on the basis of development.
This analysis of age-sex-specific mortality shows that there are remarkably complex patterns in population mortality across countries. The findings of this study highlight global successes, such as the large decline in under-5 mortality, which reflects significant local, national, and global commitment and investment over several decades. However, they also bring attention to mortality patterns that are a cause for concern, particularly among adult men and, to a lesser extent, women, whose mortality rates have stagnated in many countries over the time period of this study, and in some cases are increasing.
Bill & Melinda Gates Foundation.
人口司、经济和社会事务部、美国人口普查局、世界卫生组织以及全球疾病、伤害和危险因素研究(GBD)的前几轮迭代都对特定年龄的死亡率和预期寿命进行了评估。GBD 的前几轮迭代使用了人口司提供的人口估计数,但这些估计数的方式与 GBD 中死亡人数的估计数在内部不一致。GBD 的本次迭代,即 GBD 2017,对之前的评估进行了改进,并及时提供了全球人口死亡率的估计数。
GBD 使用所有可用数据,为 23 个年龄组、两性和 918 个地点(包括 195 个国家和地区以及 16 个国家的次国家级地点)生成了 1950 年至 2017 年的死亡率估计数。使用的数据包括人口登记系统、抽样登记系统、家庭调查(完整的出生史、摘要出生史、兄弟姐妹史)、人口普查(摘要出生史、家庭死亡)和人口监测点。这项分析总共使用了 8259 个数据源。对出生后 5 岁以下和 15 至 60 岁之间的死亡概率进行了估计,然后将其输入到一个模型生命表系统中,为所有地点和年份生成完整的生命表。单独分析了致命间断和艾滋病毒/艾滋病引起的死亡率,并将其纳入估计数中。我们使用社会人口指数分析了特定年龄死亡率与发展状况之间的关系,该指数是一个基于 25 岁以下生育率、教育和收入的综合指标。与 GBD 2016 相比,GBD 2017 有四个主要的方法学改进:纳入了 622 个额外的数据源;使用 GBD 研究生成的新的人口估计数;进一步标准化和改进了分析中不同部分使用的统计方法;并将分析回溯到 20 年前,从 1950 年开始。
全球范围内,1950 年有 18.7%(95%置信区间 18.4-19.0)的死亡被登记,此后这一比例稳步上升,2015 年所有死亡中有 58.8%(58.2-59.3)被登记。在全球范围内,1950 年至 2017 年期间,男性的预期寿命从 48.1 岁(46.5-49.6)增加到 70.5 岁(70.1-70.8),女性的预期寿命从 52.9 岁(51.7-54.0)增加到 75.6 岁(75.3-75.9)。尽管取得了这一总体进展,但 2017 年出生时的预期寿命仍存在显著差异,从中非共和国男性的 49.1 岁(46.5-51.7)到新加坡女性的 87.6 岁(86.9-88.1)不等。各年龄组中最大的进展是 5 岁以下儿童;5 岁以下儿童死亡率从 1950 年每 1000 例活产死亡 216.0 例下降到 2017 年的每 1000 例活产死亡 38.9 例,各国都有大幅下降。然而,2017 年全球仍有 540 万(520-560)名 5 岁以下儿童死亡。对于成年人,特别是成年男性,进展较为缓慢,死亡率在一些国家停滞不前或上升,因此进展不太明显,变化也更大。1950 年至 2017 年间,男性和女性之间的预期寿命差距在全球范围内相对稳定,但在超区域之间呈现出独特的模式,在中欧、东欧和中亚地区一直是最大的,在南亚地区则是最小的。与根据发展情况观察到的死亡率相比,死亡率的表现在各国和不同时期也存在差异。
对特定年龄和性别的死亡率的分析表明,各国的人口死亡率存在着非常复杂的模式。本研究的结果突出了全球的成功,例如 5 岁以下儿童死亡率的大幅下降,这反映了几十年来在地方、国家和全球层面上的重大承诺和投资。然而,它们也引起了人们对死亡率模式的关注,特别是在成年男性中,在一定程度上也包括女性,在研究期间的许多国家中,他们的死亡率停滞不前,在某些情况下甚至在上升。
比尔及梅琳达·盖茨基金会。