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Contributions of risk preference, time orientation and perceptions to breast cancer screening regularity

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  • Goldzahl, Léontine

Abstract

Disparities in breast cancer screening are often explained by socioeconomic factors, although a growing body of papers show that risk preference, time orientation and perceptions may explain mammography use. The aim of this paper is to estimate the relative contribution of socioeconomic factors, risk preference, time orientation and perceptions to disparities in breast cancer screening regularity. These determinants are elicited in an experimental laboratory from 178 women aged between 50 and 75 years in France in 2013. The results reveal that risk aversion accounts for 30% of the variance in screening regularity, which is greater than that attributable to socioeconomic determinants (20%), perceptions (11.5%) or time orientation (2%). These results suggest that further investigation on the relationship between risk aversion and screening behaviors is needed to design more comprehensive public health interventions.

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  • Goldzahl, Léontine, 2017. "Contributions of risk preference, time orientation and perceptions to breast cancer screening regularity," Social Science & Medicine, Elsevier, vol. 185(C), pages 147-157.
    • Handle: RePEc:eee:socmed:v:185:y:2017:i:c:p:147-157
    DOI: 10.1016/j.socscimed.2017.04.037
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    5. Marcus, Maja E. & Reuter, Anna & Rogge, Lisa & Vollmer, Sebastian, 2024. "The effect of SMS reminders on health screening uptake: A randomized experiment in Indonesia," Journal of Economic Behavior & Organization, Elsevier, vol. 227(C).
    6. Smit, Anri & Coetzee, Bronwynè Jo’sean & Roomaney, Rizwana & Bradshaw, Melissa & Swartz, Leslie, 2019. "Women's stories of living with breast cancer: A systematic review and meta-synthesis of qualitative evidence," Social Science & Medicine, Elsevier, vol. 222(C), pages 231-245.
    7. Dugord, Clara & Franc, Carine, 2022. "Trajectories and individual determinants of regular cancer screening use over a long period based on data from the French E3N cohort," Social Science & Medicine, Elsevier, vol. 294(C).
    8. Tony Beatton & Carly J. Moores & Dipanwita Sarkar & Jayanta Sarkar & Juliana Silva Goncalves & Helen A. Vidgen, 2021. "Do parental preferences predict engagement in child health programs?," Health Economics, John Wiley & Sons, Ltd., vol. 30(11), pages 2686-2700, November.
    9. Chauvin Pauline & Chopard Bertrand & Tabo Augustin, 2020. "The Role of Optimism and Pessimism in the Substitution Between Primary and Secondary Health Prevention Efforts," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 20(1), pages 1-6, January.
    10. Castro, M.F.; & Guccio, C.; & Romeo, D.;, 2022. "An assessment of physicians’ risk attitudes using laboratory and field data," Health, Econometrics and Data Group (HEDG) Working Papers 22/26, HEDG, c/o Department of Economics, University of York.
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