In recent years, improvements in all-cause mortality rates and life expectancies for males and females in England and Wales have slowed down. In this paper, cause-specific mortality data for England and Wales from 2001 to 2018 are used to investigate the cause-specific contributions to the slowdown in improvements. Cause-specific death counts in England and Wales are modelled using negative binomial regression and a breakpoint in the linear temporal trend in log mortality rates is investigated. Cause-specific scenarios are generated, where the post-breakpoint temporal trends for certain causes are reverted to pre-breakpoint rates and the effect of these changes on age-standardised mortality rates and period life expectancies is explored. These scenarios are used to quantify cause-specific contributions to the mortality improvement slowdown. Reductions in improvements at older ages in circulatory system diseases, as well as the worsening of mortality rates due to mental and behavioural disorders and nervous system diseases, provide the greatest contributions to the reduction of improvements in age-standardised mortality rates and period life expectancies. Future period life expectancies scenarios are also generated, where cause-specific mortality rate trends are assumed to either persist or be reverted. In the majority of scenarios, the reversion of cause-specific mortality trends in a single cause of death results in the worsening of period life expectancies at birth and age 65 for both males and females. This work enhances the understanding of cause-specific contributions to the slowdown in all-cause mortality rate improvements from 2001 to 2018, while also providing insights into causes of death that are drivers of life expectancy improvements. The findings can be of benefit to researchers, policy-makers and insurance professionals.
翻译:最近几年,英格兰和威尔士男女死亡率和预期寿命因原因原因造成的改善放缓; 英格兰和威尔士男女死亡率和预期寿命的改善放缓; 本文探讨了2001年至2018年英格兰和威尔士因特定原因而导致的死亡率数据,以调查因特定原因导致改善速度减缓的原因; 英格兰和威尔士因特定原因而导致的死亡数字采用负二进制回归模型,并用日志死亡率的线性时间趋势断裂点进行模拟; 产生因特定原因而导致的情况,即某些原因的断点后时间趋势恢复到断点前速度,以及这些变化对年龄标准化死亡率和预期寿命的影响; 利用这些假设来量化因特定原因而导致死亡率下降的原因导致死亡率下降; 使用这些假设来量化因特定原因而导致死亡率下降的原因导致死亡率下降; 降低因精神和行为紊乱和神经系统疾病导致的死亡率,为降低年龄标准化死亡率和生命期预期期的改善做出最大贡献; 未来预期寿命的改善情况,也可以假设因特定原因导致死亡率上升,从而导致死亡率上升或重新导致死亡率下降; 多数情况下的死亡率情况是: 性别死亡率趋势的改变。