Skip to main content

Beyond Self-Reports: Changes in Biomarkers as Predictors of Mortality

Author(s): Glei, Dana A; Goldman, Noreen; Rodríguez, Germán; Weinstein, Maxine

To refer to this page use:
Abstract: The proliferation of biosocial surveys has increased the importance of weighing the costs and benefits of adding biomarker collection to population-based surveys. A crucial question is whether biomarkers offer incremental value beyond self-reported measures, which are easier to collect and impose less respondent burden. We use longitudinal data from a nationally representative sample of older Taiwanese (n = 639, aged 54+ in 2000, examined in 2000 and 2006 with mortality follow- up through 2011) to address that question with respect to predicting all-cause mortality. A summary measure of biomarkers improves mortality prediction (as measured by the area under the receiver operating characteristic curve) compared with self-reports alone, but individual biomarkers perform better than the summary score. We find that incorporating change in biomarkers over a six-year period yields a small improvement in mortality prediction compared with one-time measurement. But, is the incremental value worth the costs?
Publication Date: Jun-2014
Electronic Publication Date: 14-Jun-2014
Citation: Glei, Dana A, Noreen Goldman, Germán Rodríguez, Maxine Weinstein. "Beyond Self-Reports: Changes in Biomarkers as Predictors of Mortality" Population and Development Review, (2), 40, 331 - 360, doi:10.1111/j.1728-4457.2014.00676.x
DOI: doi:10.1111/j.1728-4457.2014.00676.x
ISSN: 0098-7921
Pages: 331 - 360
Type of Material: Journal Article
Journal/Proceeding Title: Population and Development Review
Version: This is the author’s final manuscript. All rights reserved to author(s).

Items in OAR@Princeton are protected by copyright, with all rights reserved, unless otherwise indicated.