IDEAS home Printed from https://ideas.repec.org/p/hal/journl/halshs-04784103.html
   My bibliography  Save this paper

Frailty Indicator over the Adult Life Cycle as a Predictor of Healthcare Expenditure and Mortality in the Short to Midterm

Author

Listed:
  • Carine Milcent

    (PSE - Paris School of Economics - UP1 - Université Paris 1 Panthéon-Sorbonne - ENS-PSL - École normale supérieure - Paris - PSL - Université Paris Sciences et Lettres - EHESS - École des hautes études en sciences sociales - ENPC - École nationale des ponts et chaussées - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement, PJSE - Paris Jourdan Sciences Economiques - UP1 - Université Paris 1 Panthéon-Sorbonne - ENS-PSL - École normale supérieure - Paris - PSL - Université Paris Sciences et Lettres - EHESS - École des hautes études en sciences sociales - ENPC - École nationale des ponts et chaussées - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement)

Abstract

Background: Assessing frailty from middle age onward offers valuable insights into predicting healthcare expenditures throughout the life cycle. Objectives: This paper examines the use of physical frailty as an indicator of healthcare demand across all age groups. The originality of this work lies in extending the analysis of frailty indicators beyond the typical focus on individuals under 50 years old to include those in mid-life and older. Methods: For this study, we used a database where frailty was measured in 2012 in a sample of individuals aged 15 to over 90. These individuals were tracked for their healthcare expenditures from 2012 to 2016. Results: Among the sample of 6928 individuals, frailty in 2012 resulted in a statistically significant increase in costs at the 5% level for the population aged 15 to 65. We applied multilevel linear regression models with year fixed effects, controlling for demographic factors, education level, precarity, social dimensions, lifestyle factors (e.g., vegetable consumption), physical activity, emotional well-being, and medical history. A Hausman test was conducted to validate the model choice. For mortality rate analysis, Cox models were used. Conclusions: Our findings demonstrate that physical frailty provides valuable information for understanding its impact on healthcare expenditure. The effect of frailty on mortality is particularly significant for the elderly population. Moreover, frailty is a predictor of healthcare costs not only in older adults but also across the entire life cycle.

Suggested Citation

  • Carine Milcent, 2024. "Frailty Indicator over the Adult Life Cycle as a Predictor of Healthcare Expenditure and Mortality in the Short to Midterm," Post-Print halshs-04784103, HAL.
    • Handle: RePEc:hal:journl:halshs-04784103
    DOI: 10.3390/healthcare12202038
    Note: View the original document on HAL open archive server: https://shs.hal.science/halshs-04784103v1
    as

    Download full text from publisher

    File URL: https://shs.hal.science/halshs-04784103v1/document
    Download Restriction: no
    File URL: https://libkey.io/10.3390/healthcare12202038?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Àngel Lavado & Júlia Serra-Colomer & Mateu Serra-Prat & Emili Burdoy & Mateu Cabré, 2023. "Relationship of frailty status with health resource use and healthcare costs in the population aged 65 and over in Catalonia," European Journal of Ageing, Springer, vol. 20(1), pages 1-10, December.
    2. Fabrice Etilé & Carine Milcent, 2006. "Income‐related reporting heterogeneity in self‐assessed health: evidence from France," Health Economics, John Wiley & Sons, Ltd., vol. 15(9), pages 965-981, September.
    3. repec:hal:wpaper:halshs-00590524 is not listed on IDEAS
    Full references (including those not matched with items on IDEAS)

    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. Johnston, David W. & Lordan, Grace, 2012. "Discrimination makes me sick! An examination of the discrimination–health relationship," Journal of Health Economics, Elsevier, vol. 31(1), pages 99-111.
    2. Thomas Barnay & Éric Defebvre, 2019. "Gender Differences in the Influence of Mental Health on Job Retention," LABOUR, CEIS, vol. 33(4), pages 507-532, December.
    3. Thomas Barnay, 2016. "Health, work and working conditions: a review of the European economic literature," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 17(6), pages 693-709, July.
    4. Eve Caroli & Mathilde Godard, 2016. "Does job insecurity deteriorate health?," Health Economics, John Wiley & Sons, Ltd., vol. 25(2), pages 131-147, February.
    5. Silvia Balia, 2007. "Reporting expected longevity and smoking: evidence from the SHARE," Health, Econometrics and Data Group (HEDG) Working Papers 07/10, HEDG, c/o Department of Economics, University of York.
    6. repec:dau:papers:123456789/13753 is not listed on IDEAS
    7. Jones, Andrew M. & Wildman, John, 2008. "Health, income and relative deprivation: Evidence from the BHPS," Journal of Health Economics, Elsevier, vol. 27(2), pages 308-324, March.
    8. Arni, Patrick & Dragone, Davide & Goette, Lorenz & Ziebarth, Nicolas R., 2021. "Biased health perceptions and risky health behaviors—Theory and evidence," Journal of Health Economics, Elsevier, vol. 76(C).
    9. Laura Rossouw, 2015. "Poor Health Reporting: Do Poor South Africans Underestimate Their Health Needs?," WIDER Working Paper Series wp-2015-027, World Institute for Development Economic Research (UNU-WIDER).
    10. Philippe Batifoulier & John Latsis & Jacques Merchiers, 2010. "Les priorités de la prise en charge financière des soins. Une approche par la philosophie du besoin," EconomiX Working Papers 2010-2, University of Paris Nanterre, EconomiX.
    11. Davillas, Apostolos & de Oliveira, Victor Hugo & Jones, Andrew M., 2023. "Is inconsistent reporting of self-assessed health persistent and systematic? Evidence from the UKHLS," Economics & Human Biology, Elsevier, vol. 49(C).
    12. Teresa Bago d'Uva & Eddy Van Doorslaer & Maarten Lindeboom & Owen O'Donnell, 2008. "Does reporting heterogeneity bias the measurement of health disparities?," Health Economics, John Wiley & Sons, Ltd., vol. 17(3), pages 351-375, March.
    13. Ziebarth, Nicolas, 2010. "Measurement of health, health inequality, and reporting heterogeneity," Social Science & Medicine, Elsevier, vol. 71(1), pages 116-124, July.
    14. Quis, Johanna Sophie & Reif, Simon, 2017. "Health effects of instruction intensity: Evidence from a natural experiment in German high-schools," BERG Working Paper Series 123, Bamberg University, Bamberg Economic Research Group.
    15. Chu, Xueling & Chen, Qihui & Fang, Xiangming, 2013. "Can National Health Insurance Programs Improve Health Outcomes?—Re-Examining the Case of the New Cooperative Medical Scheme in Rural China," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 150488, Agricultural and Applied Economics Association.
    16. Florence Jusot & Sabine Mage & Marta Menendez, 2014. "Inequality of Opportunity in Health in Indonesia," Working Papers DT/2014/06, DIAL (Développement, Institutions et Mondialisation).
    17. Valerii Baidin & Christopher J. Gerry & Maria Kaneva, 2021. "How Self-Rated is Self-Rated Health? Exploring the Role of Individual and Institutional Factors in Reporting Heterogeneity in Russia," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 155(2), pages 675-696, June.
    18. Ivan Cipin & Sime Smolic, 2013. "Socio-Economic Determinants of Health in Croatia: Insights from Four Cross-Sectional Surveys," Croatian Economic Survey, The Institute of Economics, Zagreb, vol. 15(1), pages 25-60, April.
    19. Au, N. & Johnston, D. W., 2013. "An econometric analysis of self-assessed health: what does it mean and what is it hiding?," Health, Econometrics and Data Group (HEDG) Working Papers 13/31, HEDG, c/o Department of Economics, University of York.
    20. Gabriella Berloffa & Francesca Paolini, 2019. "Decomposing Immigrant Differences in Physical and Mental Health: A 'Beyond the Mean' Analysis," DEM Working Papers 2019/4, Department of Economics and Management.
    21. C. GEAY & M. KOUBI & G. de LAGASNERIE, 2015. "Evolution of outpatient healthcare expenditure, a dynamic micro-simulation using the Destinie model," Documents de Travail de l'Insee - INSEE Working Papers g2015-15, Institut National de la Statistique et des Etudes Economiques.

    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:hal:journl:halshs-04784103. 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: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    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.