Nature Aging: Reframing the epidemiological transition as increasing returns to tackling aging-related diseases

Reframing the Epidemiological Transition — Ageing Infographic
Nature Ageing · September 2026

Reframing the
Epidemiological Transition

Increasing Returns to Tackling Ageing-Related Diseases

Julian Ashwin (Maastricht University)  ·  David E. Bloom (Harvard T. H. Chan School of Public Health, NBER, CEPR, IZA)  ·  Naomi Lee (Ellison Institute of Technology)  ·  Peter Piot (London School of Hygiene & Tropical Medicine)  ·  Andrew J. Scott (Ellison Institute of Technology, London Business School, CEPR)

Global Challenge

Why ageing well is the greatest global health challenge

A global demographic transition is underway, defined by declining birth rates and increasing life expectancy. The consequence is a rising proportion of older people and an increased probability of living into old age— transforming not just how long we live, but what diseases we suffer from.

Global life expectancy
73.2
years in 2023, up from 57.7 in 1973 — a gain of +15.5 years in 50 years
Population aged 65+
10%
of global population today, up from 5% in 1973; projected to reach 21% by 2073
Life Expectancy > 80
42
countries in 2023 had life expectancy above 80, versus zero in 1973. The United Nations predicts 149 such countries by 2071.
Survival to age 80 (global)
47%
of babies born today can expect to live to 80, versus only 22% in 1973
Table 1

Global Life Expectancy, Survival Rates & Healthy Life Expectancy: 1973–2023

Fifty years of progress across all income groups. Note: "% of Life that is Healthy" uses 1990 as the earliest year (ratio of healthy life expectancy to life expectancy from the Global Burden of Disease study).

Income GroupYearLife Expectancy
at Birth
Survival Rate65 to 80
Survival
% of Life
that is Healthy
0 to 650 to 700 to 80
Global197357.70.5530.4600.2240.4050.862 (1990)
202373.20.7720.6990.4730.6130.853
High Income197370.70.7490.6520.3620.4840.862 (1990)
202380.20.8640.8110.6490.7510.846
Upper-Middle Income197359.10.5770.4700.2170.3760.871 (1990)
202375.20.8330.7640.5180.6220.861
Lower-Middle Income197350.40.4450.3570.1510.3390.860 (1990)
202368.30.7350.6400.3710.5040.858
Lower Income197344.80.3780.3020.1310.3460.861 (1990)
202364.50.6690.5710.3190.4760.859

Note: Income group is defined by 2023 World Bank status. Survival rate is the probability of an individual surviving from one age to the other. Life expectancy and survival rates from the United Nations World Population Prospects. The final column is the ratio of healthy life expectancy to life expectancy calculated from the Global Burden of Disease study.

Key insight: Gains to life expectancy mean that now it is the majority not the minority who can expect to live a long life, even in low income countries. But the ratio of healthy life expectancy to life expectancy shows small declines implying that we are living more years in poor health.
Figure 1

Four disease clusters defined by life-cycle prevalence

Our clustering algorithm identifies four groups of diseases - infant, early adult and late adult (defined by when their prevalence peaks over the life cycle) and ageing-related diseases characterised by a prevalence that increases with age.

Disease Clusters 2023: Centroids and Individual Diseases
Disease burden (standardised) by age · Global 2023
Figure 1: Disease cluster centroids

Note: This figure shows global disability-adjusted life year (DALY) rates of all Global Burden of Disease diseases across the life cycle with different diseases allocated to different clusters (indicated by colour). The thick solid lines indicate the centroid of each cluster, and fainter lines indicate the individual diseases. DALY rates are for the global population, and diseases are defined at the most detailed level possible. All rates are standardised to have unit variance.

Ageing-related diseases are unique: their burden rises monotonically with age — they are both a major source of mortality and disability. The longer we live, the more important they become.
Figure 2

Mortality & Disability: ageing-related diseases dominate at older ages

Ageing-related diseases account for most mortality risk at older ages. While adult diseases (early and late) explain most disability from ages 15–60, ageing-related diseases dominate disability beyond that — and are the only cluster with a high correlation between mortality and morbidity (r = 0.50).

Mortality and Disability Burden by Cluster, 2023
Rate per person · Global 2023
Figure 2: Mortality and disability by cluster

Note: The figure shows mortality rates and disability rates for disease clusters calculated using the Global Burden of Disease. These rates are taken directly from the global age-specific death and years lost to disability (YLD) rates for each cause as provided by the United Nations and expressed as the rate of deaths/YLDs per person that year due to each cause. The cluster-level rates are the sum of these rates across all causes assigned to that cluster.

As life expectancy increases the disease burden shifts to ageing related diseases. Amongst our four clusters, ageing related diseases are unique in that they are a source of mortality and disability whereas most other disease clusters either kill you or cause disability. This complementarity for ageing-related diseases is one reason why reducing their prevalence is so important.
Figure 3

Ageing-related diseases: the largest lifetime burden globally

Ageing-related diseases account for 42% of the total current global disease burden — the single largest cluster. Strikingly, even for children born in low-income countries, the greatest lifetime disease burden they can expect is from ageing-related diseases.

Expected YLDs and YLLs for a Newborn in 2023
Expected years lost to disease and years of life lost by income group and disease cluster
Figure 3: Expected YLDs and YLLs for a newborn

Note: The left panel shows the expected years lost to disease (YLDs) and the right panel expected years of life lost (YLLs).

Figure 4

Health gains from reducing ageing-related disease exceed all others

The global health gains from reducing ageing-related disease prevalence exceed those of every other cluster. This is due to a unique complementarity between morbidity and mortality: ageing-related diseases are the only cluster where improving health and improving survival reinforce each other, delivering both more years of life and more healthy years of life.

Global Health Gains from Reducing Disease Prevalence
Extra DALYs lived (millions) from 25%, 50% and 100% permanent reductions in disease prevalence
Figure 4: Global health gains

Note: The figure shows increases in disability-adjusted life years (DALYs) summed across the world population at each moment in time that result from 25%, 50%, and 100% permanent reductions in disease prevalence of each cluster.

Ageing-related diseases +17.4 years life expectancy gained
Infant diseases +3.3 years
Late adult diseases +1.2 years
Early adult diseases +0.8 years

Life expectancy gains from 100% prevalence reduction scenarios (illustrative). Source: GBD 2024 simulations.

Figure 5

Increasing returns: the more progress we make, the more valuable further gains become

Ageing-related diseases display a unique property: increasing returns. The more progress we make in reducing their prevalence, the larger the benefits from further gains. This virtuous circle arises because better ageing leads to longer lives, which in turn makes tackling ageing-related diseases even more important. For other disease clusters, gains are near-linear.

Increasing Returns from Reducing Disease Prevalence
W* (total future health-adjusted life years) vs proportional reduction in disease prevalence · No Economic Growth scenario
Figure 5: Increasing returns

Note: W* shows how total future welfare (sum of health-adjusted life years 2023–2148) changes as disease prevalence falls. For ageing-related diseases the red "Both" curve is convex — increasing returns — while disability (green) and mortality (blue) channels are shown separately. The shaded band reflects the mortality–morbidity complementarity unique to ageing-related diseases. Other clusters show near-linear responses.

Infant / Late Adult
≈ 2×
50% reduction delivers approximately 2× the gain of 25% reduction — near linear
Ageing-related · 2050
2.2× / 5.9×
50% reduction = 2.2× and 100% = 5.9× the gain of 25% by 2050
Ageing-related · 2100
3.2× / 10.7×
By 2100 these ratios grow further — a virtuous circle of compounding returns
Conclusion

A Second Longevity Revolution is needed

Recasting the epidemiological transition in terms of disease prevalence over the life cycle has profound implications for the global health agenda. The greatest global health challenge is now ensuring we age well. This isn’t just about older people - ageing related diseases compound over time so tackling them requires tracking health over the life cycle. The complementarity between mortality and morbidity that characterises ageing-related diseases also points to the importance of targeting healthy life expectancy and not life expectancy.

First Longevity Revolution
Achieved
Global life expectancy now exceeds 70. The young can expect to become old in every income group.
Second Longevity Revolution
Needed now
Changing how we age — focused on reducing ageing-related disease prevalence globally.
Key implication
All nations
Not just a rich-country issue. What matters is not the number of older people but life expectancy — which now exceeds 70 globally.
Research priority
Biology of ageing
Increasing returns mean the value of research into ageing biology grows with every advance made.

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