• Vienna Institute of Demography (Ed.)

Vienna Yearbook of Population Research 2016

Special issue on “Population ageing”

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Refereed Articles

A unifying framework for the study of population aging
Warren Sanderson and Sergei Scherbov

Towards a reconceptualising of population ageing in emerging markets
Stuart Gietel-Basten, Sergei Scherbov and Warren Sanderson

Population ageing dynamics in the North Atlantic region of the Arctic
Anastasia Emelyanova and Arja Rautio

Certain characteristics of population ageing using a prospective approach: Serbia as a case study
Jelena Stojilkovic Gnjatovic and Mirjana Devedzic

The impact of physical health on the postponement of retirement
Michael Boissonneault and Joop de Beer

Adjusting prospective old-age thresholds by health status: empirical findings and implications. A case study of Italy
Elena Demuru and Viviana Egidi

Measuring dependency ratios using National Transfer Accounts
Mikkel Christoffer Barslund and Marten von Werder

Subjective survival expectations and observed survival: How consistent are they?
Alberto Palloni and Beatriz Novak

Time-to-death patterns in markers of age and dependency
Tim Riffe, Pil H. Chung, Jeroen Spijker and John MacInnes

A cross-national comparison of 12 biomarkers finds no universal biomarkers of aging among individuals aged 60 and older
David H. Rehkopf, Luis Rosero-Bixby and William H. Dow
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Vienna Yearbook of Population Research 2016
ISSN 1728-4414
Print Edition
ISSN 1728-5305
Online Edition
ISBN 978-3-7001-8151-4
Print Edition
ISBN 978-3-7001-8247-4
Online Edition



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A cross-national comparison of 12 biomarkers finds no universal biomarkers of aging among individuals aged 60 and older

    David H. Rehkopf, Luis Rosero-Bixby, William H. Dow

Vienna Yearbook of Population Research 2016, pp. 255-277, 2024/12/12

Special issue on “Population ageing”

doi: 10.1553/populationyearbook2016s255


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doi:10.1553/populationyearbook2016s255

Abstract

There is uncertainty about whether biological and anthropometric measures that are clinical risk factors for disease are universally associated with chronological age, or whether these correlations vary depending on the social and economic context. The answer to this question has implications for the malleability of biological aging. To examine this issue, we use population-based data on individuals aged 60 and older from the Costa Rican Study on Longevity and Healthy Aging, and temporally consistent data from the United States National Health and Nutrition Examination Survey and the United States Health and Retirement Study. Our analysis focuses on 12 biomarkers that have been shown in the literature to have an association with age, and that occur prior to the clinical manifestation of disease. We find that there are few consistent patterns of association with age when these biomarkers are stratified by gender, country, and level of education. This result suggests that these measures of biological aging are highly context-dependent, and that none of the 12 biomarkers we examined are universal biomarkers of aging. Future research that investigates composite measures of biological age should test newly proposed measures across gender, social class, and country.

Keywords: Demography; Aging; Population; Biomarkers

Published Online: 2024/12/12 23:16:18

Object Identifier: 0xc1aa5572 0x003fad25

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