Predicting Receipt of Social Security Administration Disability Benefits Using Biomarkers and Other Physiological Measures: Evidence From the Health and Retirement Study.

TitlePredicting Receipt of Social Security Administration Disability Benefits Using Biomarkers and Other Physiological Measures: Evidence From the Health and Retirement Study.
Publication TypeJournal Article
Year of Publication2019
AuthorsBlue, L, Gill, L, Faul, JD, Bradway, K, Stapleton, DC
JournalJournal of Aging and Health
Volume31
Issue4
Pagination555-579
ISSN Number1552-6887
KeywordsBiomarkers, Disabilities, Genetics, Social Security linkage
Abstract

OBJECTIVES: The objective of this study was to assess how well physiological measures, including biomarkers and genetic indicators, predict receipt of Social Security Administration (SSA) disability benefits among U.S. adults aged 51 to 65 years.

METHOD: We used data from the 2006 to 2012 waves of the Health and Retirement Study (HRS), linked to SSA administrative data. Using logistic regression, we predicted benefit receipt (either Social Security Disability Insurance or Supplemental Security Income) using 19 distinct physiological markers, adjusting for age, sex, race, and select medication use. We then calculated the propensity (i.e., predicted probability) that each HRS respondent received benefits and assessed how well propensity score-based classifications could identify beneficiaries and nonbeneficiaries.

RESULTS: Thirteen percent of respondents received benefits. Using the propensity score cut point that maximized the sum of sensitivity and specificity, the model correctly predicted 75.9% of beneficiaries and 73.5% of nonbeneficiaries.

DISCUSSION: Physiological measures have moderate power to predict SSA disability benefit receipt.

DOI10.1177/0898264317737893
User Guide Notes

http://www.ncbi.nlm.nih.gov/pubmed/29254420?dopt=Abstract

Alternate JournalJ Aging Health
Citation Key9457
PubMed ID29254420