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Contextual factors underpinning geographical inequalities in disability-free life expectancy in 100 French départements

Author

Listed:
  • Caroline Laborde

    (Université Paris-Saclay, UVSQ
    Département de l’Institut Paris Région)

  • Maude Crouzet

    (Université de Strasbourg)

  • Amélie Carrère

    (Institut national d’études démographiques (Ined)
    Université PSL Paris-Dauphine (LEDa-LEGOS)
    Université Paris-Créteil (Erudite))

  • Emmanuelle Cambois

    (Institut national d’études démographiques (Ined))

Abstract

The objectives were to estimate disability-free life expectancy (DFLE) and life expectancy with disability (DLE) by gender for the 100 French départements (administrative geographical subdivisions) and to investigate associations with socioeconomic factors, supply of healthcare and services for older persons. DFLE and DLE at age 60 are estimated using the Sullivan method and based on the GALI indicator provided by the French cross-sectional survey Vie Quotidienne et Santé 2014. In 2014, DFLE for men and women aged 60 was 14.3 years and 15.6 years, respectively. Variations across départements were considerable (5.4 years for men, 6.7 years for women). Multivariate random effects meta-regression models indicated a negative association for men between DFLE and some of the socioeconomic contextual indicators (ratio of manual workers to higher-level occupations and unemployment rate); the level of in-home nursing services (HNS) was negatively associated with DFLE and density of nurses positively associated with DLE. Among women, ratio of manual workers to higher-level occupations, unemployment rate, proportion of the population living in large urban areas, density of nurses, and level of HNS were negatively associated with DFLE; density of physiotherapy supply was associated positively with DFLE and negatively with DLE. Our results suggest that geographical inequalities in health expectancies are significantly correlated with socioeconomic status and with healthcare supply, support for older persons, and urban environments, particularly among women. These results underline the importance of monitoring these indicators and disparities at infra-national-level, and of investigating their relations with local context, particularly the supply of healthcare and services.

Suggested Citation

  • Caroline Laborde & Maude Crouzet & Amélie Carrère & Emmanuelle Cambois, 2021. "Contextual factors underpinning geographical inequalities in disability-free life expectancy in 100 French départements," European Journal of Ageing, Springer, vol. 18(3), pages 381-392, September.
    • Handle: RePEc:spr:eujoag:v:18:y:2021:i:3:d:10.1007_s10433-020-00589-0
    DOI: 10.1007/s10433-020-00589-0
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    References listed on IDEAS

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    1. Florax, Raymond J. G. M. & Folmer, Hendrik & Rey, Sergio J., 2003. "Specification searches in spatial econometrics: the relevance of Hendry's methodology," Regional Science and Urban Economics, Elsevier, vol. 33(5), pages 557-579, September.
    2. Georgia Verropoulou, 2014. "Specific versus general self-reported health indicators predicting mortality among older adults in Europe: disparities by gender employing SHARE longitudinal data," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 59(4), pages 665-678, August.
    3. Md Shariful Islam & Md Ismail Tareque & Md Nazrul Islam Mondal & Ahbab Mohammad Fazle Rabbi & Hafiz T A Khan & Sharifa Begum, 2017. "Urban-rural differences in disability-free life expectancy in Bangladesh using the 2010 HIES data," PLOS ONE, Public Library of Science, vol. 12(7), pages 1-13, July.
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    1. Aïda Solé-Auró & Dorly J. H. Deeg, 2021. "New thinking about health expectancy: introduction to the special section," European Journal of Ageing, Springer, vol. 18(4), pages 439-441, December.

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