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The Transitions of AgingThe Signals from the Childhood Years

The Transitions of Aging: The Signals from the Childhood Years [The variables for the childhood regime (average stature, infectious diseases, and pregnancy complications), along with macro variables (volatility-adjusted per capita income, and functional distribution of income) explain a sizable segment of the variation in the profile parameters, especially of the slopes. The variables prove useful for extracting the childhood-linked component of the period-profiles, ultimately helping approximate the life-course segment in the long-term trends of non-communicable disease. The life-course segment, however, varies across the childhood variables and each one relates unsymmetrically to the non-communicable diseases comprising the aggregate. The childhood variables, together with the functional income distribution, appear to have been the sources of a cohort effect, defined as the source or the variable that shifts the initial state as well as the slope of the profiles.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

The Transitions of AgingThe Signals from the Childhood Years

Part of the International Perspectives on Aging Book Series (volume 12)
Arora, Suchit
The Transitions of Aging — Dec 12, 2014
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References (19)

Publisher
Springer International Publishing
Copyright
© Springer International Publishing Switzerland 2015
ISBN
978-3-319-14402-3
Pages
131 –155
DOI
10.1007/978-3-319-14403-0_8
Publisher site
See Chapter on Publisher Site

Abstract

[The variables for the childhood regime (average stature, infectious diseases, and pregnancy complications), along with macro variables (volatility-adjusted per capita income, and functional distribution of income) explain a sizable segment of the variation in the profile parameters, especially of the slopes. The variables prove useful for extracting the childhood-linked component of the period-profiles, ultimately helping approximate the life-course segment in the long-term trends of non-communicable disease. The life-course segment, however, varies across the childhood variables and each one relates unsymmetrically to the non-communicable diseases comprising the aggregate. The childhood variables, together with the functional income distribution, appear to have been the sources of a cohort effect, defined as the source or the variable that shifts the initial state as well as the slope of the profiles.]

Published: Dec 12, 2014

Keywords: Aging; Non-communicable diseases; Childhood development; Childhood regime; Stature; Infectious diseases; Pregnancy complications; Childhood-linked signals; Life-course effects; Cohort effect; Bias; Functional distribution of national income; Real per capita income

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