IDEAS home Printed from https://ideas.repec.org/a/bla/popdev/v40y2014i2p331-360.html
   My bibliography  Save this article

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

Author

Listed:
  • Dana A. Glei
  • Noreen Goldman
  • Germán Rodríguez
  • Maxine Weinstein

Abstract

type="main"> 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 (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?

Suggested Citation

  • Dana A. Glei & Noreen Goldman & Germán Rodríguez & Maxine Weinstein, 2014. "Beyond Self-Reports: Changes in Biomarkers as Predictors of Mortality," Population and Development Review, The Population Council, Inc., vol. 40(2), pages 331-360, June.
    • Handle: RePEc:bla:popdev:v:40:y:2014:i:2:p:331-360
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1111/j.1728-4457.2014.00676.x
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Eileen Crimmins & Jung Kim & Sarinnapha Vasunilashorn, 2010. "Biodemography: New approaches to understanding trendsand differences in population health and mortality," Demography, Springer;Population Association of America (PAA), vol. 47(1), pages 41-64, March.
    2. Patrick Royston & John B. Carlin & Ian R. White, 2009. "Multiple imputation of missing values: New features for mim," Stata Journal, StataCorp LP, vol. 9(2), pages 252-264, June.
    3. Seeman, Teresa E. & Crimmins, Eileen & Huang, Mei-Hua & Singer, Burton & Bucur, Alexander & Gruenewald, Tara & Berkman, Lisa F. & Reuben, David B., 2004. "Cumulative biological risk and socio-economic differences in mortality: MacArthur Studies of Successful Aging," Social Science & Medicine, Elsevier, vol. 58(10), pages 1985-1997, May.
    4. Zimmer, Zachary & Martin, Linda G. & Lin, Hui-Sheng, 2005. "Determinants of old-age mortality in Taiwan," Social Science & Medicine, Elsevier, vol. 60(3), pages 457-470, February.
    5. Erin York Cornwell & Linda J. Waite, 2009. "Measuring Social Isolation Among Older Adults Using Multiple Indicators From the NSHAP Study," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 64(suppl_1), pages 38-46.
    6. Cassio M. Turra & Noreen Goldman & Christopher L. Seplaki & Dana A. Glei & Yu‐Hsuan Lin & Maxine Weinstein, 2005. "Determinants of Mortality at Older Ages: The Role of Biological Markers of Chronic Disease," Population and Development Review, The Population Council, Inc., vol. 31(4), pages 675-698, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Davillas, Apostolos & Pudney, Stephen, 2020. "Using biomarkers to predict healthcare costs: Evidence from a UK household panel," Journal of Health Economics, Elsevier, vol. 73(C).
    2. Davillas, Apostolos & Pudney, Stephen, 2020. "Biomarkers as precursors of disability," Economics & Human Biology, Elsevier, vol. 36(C).
    3. Sarah Brown & Pulak Ghosh & Daniel Gray & Bhuvanesh Pareek & Jennifer Roberts, 2017. "Saving Behaviour and Biomarkers: A High-Dimensional Bayesian Analysis of British Panel Data," Working Papers 2017005, The University of Sheffield, Department of Economics.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Todd, Megan A. & Shkolnikov, Vladimir M. & Goldman, Noreen, 2016. "Why are well-educated Muscovites more likely to survive? Understanding the biological pathways," Social Science & Medicine, Elsevier, vol. 157(C), pages 138-147.
    2. Jeffrey T. Howard & P. Johnelle Sparks, 2016. "The Effects of Allostatic Load on Racial/Ethnic Mortality Differences in the United States," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 35(4), pages 421-443, August.
    3. Michaud, Pierre-Carl & Crimmins, Eileen M. & Hurd, Michael D., 2016. "The effect of job loss on health: Evidence from biomarkers," Labour Economics, Elsevier, vol. 41(C), pages 194-203.
    4. Jenny Gierveld & Pearl A. Dykstra & Niels Schenk, 2012. "Living arrangements, intergenerational support types and older adult loneliness in Eastern and Western Europe," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 27(7), pages 167-200.
    5. repec:mpr:mprres:7638 is not listed on IDEAS
    6. Yongwei Chen & Dahai Fu, 2015. "Measuring income inequality using survey data: the case of China," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 13(2), pages 299-307, June.
    7. Seeman, Melvin & Stein Merkin, Sharon & Karlamangla, Arun & Koretz, Brandon & Seeman, Teresa, 2014. "Social status and biological dysregulation: The “status syndrome” and allostatic load," Social Science & Medicine, Elsevier, vol. 118(C), pages 143-151.
    8. Keiichi Shimatani & Mayuko T. Komada & Jun Sato, 2021. "Impact of the Changes in the Frequency of Social Participation on All-Cause Mortality in Japanese Older Adults: A Nationwide Longitudinal Study," IJERPH, MDPI, vol. 19(1), pages 1-13, December.
    9. Szanton, Sarah L. & Thorpe, Roland J. & Whitfield, Keith, 2010. "Life-course financial strain and health in African-Americans," Social Science & Medicine, Elsevier, vol. 71(2), pages 259-265, July.
    10. repec:mpr:mprres:6965 is not listed on IDEAS
    11. Francesco Aiello & Graziella Bonanno, 2018. "Multilevel empirics for small banks in local markets," Papers in Regional Science, Wiley Blackwell, vol. 97(4), pages 1017-1037, November.
    12. Gruenewald, Tara L. & Karlamangla, Arun S. & Hu, Perry & Stein-Merkin, Sharon & Crandall, Carolyn & Koretz, Brandon & Seeman, Teresa E., 2012. "History of socioeconomic disadvantage and allostatic load in later life," Social Science & Medicine, Elsevier, vol. 74(1), pages 75-83.
    13. David A. Wagstaff & Ofer Harel, 2011. "A closer examination of three small-sample approximations to the multiple-imputation degrees of freedom," Stata Journal, StataCorp LP, vol. 11(3), pages 403-419, September.
    14. Shawna Beese & Julie Postma & Janessa M. Graves, 2022. "Allostatic Load Measurement: A Systematic Review of Reviews, Database Inventory, and Considerations for Neighborhood Research," IJERPH, MDPI, vol. 19(24), pages 1-23, December.
    15. Goldman, Noreen & Turra, Cassio M. & Rosero-Bixby, Luis & Weir, David & Crimmins, Eileen, 2011. "Do biological measures mediate the relationship between education and health: A comparative study," Social Science & Medicine, Elsevier, vol. 72(2), pages 307-315, January.
    16. Margie E Lachman & Stefan Agrigoroaei, 2010. "Promoting Functional Health in Midlife and Old Age: Long-Term Protective Effects of Control Beliefs, Social Support, and Physical Exercise," PLOS ONE, Public Library of Science, vol. 5(10), pages 1-9, October.
    17. Davillas, Apostolos & Pudney, Stephen, 2020. "Using biomarkers to predict healthcare costs: Evidence from a UK household panel," Journal of Health Economics, Elsevier, vol. 73(C).
    18. Josef Kuo-Hsun Ma & Todd E. Vachon & Simon Cheng, 2019. "National Income, Political Freedom, and Investments in R&D and Education: A Comparative Analysis of the Second Digital Divide Among 15-Year-Old Students," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 144(1), pages 133-166, July.
    19. Davillas, Apostolos & Jones, Andrew M, 2020. "Ex ante inequality of opportunity in health, decomposition and distributional analysis of biomarkers," Journal of Health Economics, Elsevier, vol. 69(C).
    20. Davillas, Apostolos & Pudney, Stephen, 2020. "Biomarkers as precursors of disability," Economics & Human Biology, Elsevier, vol. 36(C).
    21. Vincenzo Carrieri & Apostolos Davillas & Andrew M. Jones, 2020. "A latent class approach to inequity in health using biomarker data," Health Economics, John Wiley & Sons, Ltd., vol. 29(7), pages 808-826, July.
    22. Yulia V. Marchenko & Jerome P. Reiter, 2009. "Improved degrees of freedom for multivariate significance tests obtained from multiply imputed, small-sample data," Stata Journal, StataCorp LP, vol. 9(3), pages 388-397, September.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bla:popdev:v:40:y:2014:i:2:p:331-360. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: http://www.blackwellpublishing.com/journal.asp?ref=0098-7921 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.