Future life expectancy in 35 industrialised countries: projections with a Bayesian model ensemble
Ожидаемая продолжительность жизни в 35 индустриализированных странах: прогнозы с ансамблем байесовских моделей
2017-02-22
SCID: 54.1/hsymg2e4
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Bayesian model ensembleage-specific mortalitylife expectancy projectionslife table methods
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Abstract (AI)
BACKGROUND: Projections of future mortality and life expectancy are needed to plan for health and social services and pensions. Our aim was to forecast national age-specific mortality and life expectancy using an approach that takes into account the uncertainty related to the choice of forecasting model. METHODS: We developed an ensemble of 21 forecasting models, all of which probabilistically contributed towards the final projections. We applied this approach to project age-specific mortality to 2030 in 35 industrialised countries with high-quality vital statistics data. We used age-specific death rates to calculate life expectancy at birth and at age 65 years, and probability of dying before age 70 years, with life table methods. FINDINGS: Life expectancy is projected to increase in all 35 countries with a probability of at least 65% for women and 85% for men. There is a 90% probability that life expectancy at birth among South Korean women in 2030 will be higher than 86·7 years, the same as the highest worldwide life expectancy in 2012, and a 57% probability that it will be higher than 90 years. Projected female life expectancy in South Korea is followed by those in France, Spain, and Japan. There is a greater than 95% probability that life expectancy at birth among men in South Korea, Australia, and Switzerland will surpass 80 years in 2030, and a greater than 27% probability that it will surpass 85 years. Of the countries studied, the USA, Japan, Sweden, Greece, Macedonia, and Serbia have some of the lowest projected life expectancy gains for both men and women. The female life expectancy advantage over men is likely to shrink by 2030 in every country except Mexico, where female life expectancy is predicted to increase more than male life expectancy, and in Chile, France, and Greece where the two sexes will see similar gains. More than half of the projected gains in life expectancy at birth in women will be due to enhanced longevity above age 65 years. INTERPRETATION: There is more than a 50% probability that by 2030, national female life expectancy will break the 90 year barrier, a level that was deemed unattainable by some at the turn of the 21st century. Our projections show continued increases in longevity, and the need for careful planning for health and social services and pensions. FUNDING: UK Medical Research Council and US Environmental Protection Agency.
Key Findings
1
An ensemble of 21 probabilistic forecasting models was developed to project age-specific mortality and life expectancy to 2030 across 35 industrialised countries, accounting for model-choice uncertainty.
2
For men, there is >95% probability that life expectancy at birth in South Korea, Australia, and Switzerland will surpass 80 years in 2030, and >27% probability it will surpass 85 years.
3
Life expectancy is projected to increase in all 35 countries, with at least a 65% probability for women and 85% for men.
4
More than half of projected gains in female life expectancy at birth will be attributable to increased longevity above age 65.
5
The USA, Japan, Sweden, Greece, Macedonia, and Serbia are projected to have some of the smallest life expectancy gains for both sexes; the female advantage over men is likely to shrink by 2030 in all countries except Mexico (female advantage increases) and Chile, France, and Greece (similar gains).
6
There is a 90% probability that South Korean female life expectancy at birth in 2030 will exceed 86.7 years, and a 57% probability it will exceed 90 years; France, Spain, and Japan follow South Korea for projected female life expectancy.
Research Object
Age-specific national mortality and life expectancy in 35 industrialised countries
Research Subject
Probabilistic projections (to 2030) of age-specific mortality rates and derived metrics (life expectancy at birth and at age 65, and probability of dying before age 70) using a Bayesian model ensemble, including uncertainty estimates and country-specific comparisons
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2017-02-22
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