LETTER


Early Childhood Conditions and Old-Age Mortality



Sven G. Bremberg1, 2, *
1 Department of Public Health, Karolinska Institute, Stockholm, Sweden
2 Public Health Agency of Sweden, Stockholm, Sweden


Article Metrics

CrossRef Citations:
0
Total Statistics:

Full-Text HTML Views: 684
Abstract HTML Views: 395
PDF Downloads: 251
ePub Downloads: 207
Total Views/Downloads: 1537
Unique Statistics:

Full-Text HTML Views: 409
Abstract HTML Views: 270
PDF Downloads: 197
ePub Downloads: 167
Total Views/Downloads: 1043



Creative Commons License
© 2018 Sven G.Bremberg.

open-access license: This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International Public License (CC-BY 4.0), a copy of which is available at: https://creativecommons.org/licenses/by/4.0/legalcode. This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

* Address correspondence this author at the Department of Public Health, Karolinska Institute, Sven G.Bremberg, Stockholm, Sweden; Tel: +46 706899753; E-mail: sven.bremberg@mac.com


Abstract

Background:

Early life conditions might determine adult mortality. The literature, however, both support and contradict this proposition. In most studies, the outcome has been the mortality rates in a given period of time. These rates represent the combined result of both previous and current exposures. Therefore, it is more apt to study the rate of improvement as an outcome, rather than mortality rates in a given period of time.

Objective:

The effects of early-life conditions, assessed as mortality rates at ages 0 and 1-4, and the effects of indicators of available resources in adult life were analysed.

Methods:

The outcomes were the decrease in the national rates of mortality in three age groups, aged 24-34, 35-54 and 55-74, in 18 OECD countries over the years 1990-2010. The effects were analysed in linear multiple regression models using least squares, controlling for country-specific historical constants, which represent the mortality rates in 1990.

Results:

Among the 24-34 and 35-54 year-olds, neither early-life indicators nor resource indicators significantly affected the regression equations. Among the 55-74 year-olds, however, in the model including the mortality rate at age 0 in 1940-49, the explanatory value of the equation in question increased from 65 to 79%, and the effect of mortality rate at age 0 was statistically significant.

Conclusion:

Significant effects of early-life conditions on the rate of decrease in mortality were found, but only in the oldest age group. This finding is consistent with Gavrilov’s reliability theory of aging.

Key Points

• Mortality rates have decreased almost linearly in recent decades in OECD countries.

• Most of the variation between countries seemed to be determined by past history and the catch-up of nations that have previously lagged behind.

• A significant effect of early-life conditions on the rate of decrease in mortality was found, but only in the 55-74 year-olds, not in the 24-34 and 35-54 year-olds.

Keywords: Childhood, Aging, Mortality rate, Cross-national study, Time trend, OECD countries.