Davillas, Apostolos and Pudney, Stephen (2020) Biomarkers, disability and health care demand. Economics and Human Biology, 39. ISSN 1570-677X
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Abstract
Using longitudinal data from a representative UK panel, we focus on a group of apparently healthy individuals with no history of disability or major chronic health condition at baseline. A latent variable structural equation model is used to analyse the predictive role of latent baseline biological health, indicated by a rich set of biomarkers, and other personal characteristics, in determining the individual’s disability state and health service utilisation five years later. We find that baseline biological health affects future health service utilisation very strongly, via progression to functional disability channel. We also find systematic income gradients in future disability risks, with those of higher income experiencing a lower progress to disability. Our model reveals that observed pro-rich inequity in health care utilisation, is driven by the fact that higher-income people tend to make greater use of health care treatment, for any given biological health and disability status; this is despite the lower average need for treatment shown by the negative association of income with both baseline ill biological health and disability progression risk. Factor loadings for latent baseline health show that a broader set of blood-based biomarkers, rather than the current focus mainly on blood pressure, cholesterol and adiposity, may need to be considered for public health screening programs.
Item Type: | Article |
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Uncontrolled Keywords: | sdg 3 - good health and well-being ,/dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_being |
Faculty \ School: | Faculty of Medicine and Health Sciences > Norwich Medical School |
UEA Research Groups: | Faculty of Medicine and Health Sciences > Research Groups > Health Economics Faculty of Medicine and Health Sciences > Research Groups > Public Health and Health Services Research (former - to 2023) |
Depositing User: | LivePure Connector |
Date Deposited: | 22 Sep 2020 23:58 |
Last Modified: | 05 Aug 2024 00:49 |
URI: | https://ueaeprints.uea.ac.uk/id/eprint/76980 |
DOI: | 10.1016/j.ehb.2020.100929 |
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