Study Data Shows There is No Cheating Old Age

Introduction

Special diets, exercise programs, supplements and vitamins - everywhere we look there is something supposed to help us live longer. Maybe those work: human average life expectancy has gone from a meager 40-ish years to a whopping 70-something since 1850. Does this mean we are slowing down death?

Main Item

A new study comparing data from nine human populations and 30 populations of non-human primates says that we are probably not cheating the reaper. The researchers say the increase in human life expectancy is more likely the statistical outcome of improved survival for children and young adults, not slowing the aging clock.

"Populations get older mostly because more individuals get through those early stages of life," said Susan Alberts, professor of Biology and Evolutionary Anthropology at Duke University and senior author of the paper. "Early life used to be so risky for humans, whereas now we prevent most early deaths."

The research team, comprising scientists from 14 different countries, analyzed patterns of births and deaths in the 39 populations, looking at the relationship between life expectancy and lifespan equality.

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Lifespan equality tell us how much the age of death varies in a population. If everyone tends to die at around the same age - for instance, if almost everyone can expect to live a long life and die in their 70s or 80s - lifespan equality is very high. If death could happen at any age - because of disease, for example - lifespan equality is very low.

In humans, lifespan equality is closely related to life expectancy: people from populations that live longer also tend to die at a similarly old age, while populations with shorter life-expectancies tend to die at a wider range of ages.

To understand if this pattern is uniquely human, the researchers turned to our closest cousins: non-human primates. What they found is that the tight relationship between life expectancy and lifespan equality is widespread among primates as well as humans. But why?

In most mammals, risk of death is high at very young ages and relatively low at adulthood, then it increases again after the onset of aging. Could higher life-expectancy be due to individuals aging slower and living longer?

The primate populations tell us that the answer is probably no. The main sources of variation in the average age of death in different primate populations were infant, juvenile and young adult deaths. In other words, life expectancy and lifespan equality are not driven by the rate at which individuals senesce and become old, but by how many kids and young adults die for reasons unrelated to old age.

Using mathematical modeling, the researchers also found that small changes in the rate of aging would drastically alter the relationship between life expectancy and lifespan equality. Changes in the parameters representing early deaths, on the other hand, led to variations very similar to what was observed.

"When we change the parameters representing early deaths, we can explain almost all of the variation among populations, for all of these species," said Alberts. "Changes in the onset of aging and rate of aging do not explain this variation."

These results support the 'invariant rate of aging' hypothesis.

"The rate of aging is relatively fixed for a species," said Alberts. "That's why the relationship between life expectancy and lifespan equality is so tight within each species."

The researchers point out that there is some individual variation within species in the rate of aging and on the onset of senescence, but that this variation is contained to a fairly narrow range, unlike death rates at younger ages.

"We can't slow down the rate at which we're going to age," Alberts said. "What we can do is prevent those babies from dying."

This work was supported by a grant from the National Institute on Aging (P01AG031719), with additional support provided by the Max Planck Institute of Demographic Research and the Duke University Population Research Institute.

Citation:

"The Long Lives of Primates and the 'Invariant Rate of Ageing' Hypothesis," F. Colchero, J.M. Aburto, E.A. Archie, C. Boesch, T. Breuer, F.A. Campos, A. Collins, D.A. Conde, M. Cords, C. Crockford, M.E. Thompson, L.M. Fedigan, C. Fichtel, M. Groenenberg, C. Hobaiter, P.M. Kappeler, R.R. Lawler, R.J. Lewis, Z.P. Machanda, M.L. Manguette, M.N. Muller, C. Packer, R.J. Parnell, S. Perry, A.E. Pusey, M.M. Robbins, R.M. Seyfarth, J.B. Silk, J. Staerk, T.S. Stoinski, E.J. Stokes, K.B. Strier, S.C. Strum, J. Tung, F. Villavicencio, R.M. Wittig, R.W. Wrangham, K. Zuberbühler, J.W. Vaupel, S.C. Alberts. Nature Communications, June 16, 2021. DOI: 10.1038/s41467-021-23894-3

Resources and Statistics:

• U.S. Life Expectancy Statistics Chart by States
• Australian States Life Expectancy Statistics Chart
• Average Life Expectancy in India and Indian States
• UK Average Life Expectancy Statistics by Country and Region
• Canadian Male and Female Life Expectancy Rates by Province and Territory

Biological Age Calculator: Check Your True Health Age - Real age calculator provides longevity information and calculates your approximate health age or biological age as well as your estimated life expectancy.

Calculate Age in Days Weeks Months Since Birth - Find out how many days you have been alive, what day of the week you were born on, and how long you have lived in days weeks months and years since your birth date.

Attribution/Source(s):

This quality-reviewed publication was selected for publishing by the editors of Disabled World due to its significant relevance to the disability community. Originally authored by Duke University, and published on 2021/06/16 (Edit Update: 2021/06/20), the content may have been edited for style, clarity, or brevity. For further details or clarifications, Duke University can be contacted at duke.edu. NOTE: Disabled World does not provide any warranties or endorsements related to this article.

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