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Differential inequity in health expectancy by region in Belgium

Author

Listed:
  • Herman Oyen
  • Nathalie Bossuyt
  • Patrick Deboosere
  • Sylvie Gadeyne
  • Emmanuel Abatih
  • Stefaan Demarest

Abstract

Différences d’inégalités d’espérance de vie par région en Belgique Objectifs : Évaluer l’importance des inégalités sociales de santé entre les régions en Belgique sur base d’une mesure de santé composite, l’espérance de vie sans incapacité (EVSI). Méthodes : Les données de mortalité (suivi du recensement de 1991 après cinq ans) ont été combinées avec les données de l’enquête de santé par interview de 1997 afin d’estimer l’EVSI en fonction du niveau d’éducation. Les différences d’espérance de vie partielle 25–74 (EV 25–74 ) et d’EVSI 25–74 entre les personnes situées en bas et en haut d’une échelle sociale relative ont été utilisées pour comparer les inégalités régionales. Résultats : Les personnes ayant un niveau d’éducation plus élevé ont une plus grande EV avec plus d’années sans incapacité et moins d’années avec des incapacités (en années: hommes en Flandre: EV=46,48; EVSI=42,08; hommes en Wallonie: EV=44,92; EVSI=39,80; femmes en Flandre: EV=47,90; EVSI=41,93; femmes en Wallonie: EV=46,90; EVSI=39,84) par rapport à la population ayant un niveau d’éducation moins élevé (en années: hommes en Flandre: EV=44,86; EVSI=30,16; hommes en Wallonie: EV=42,77; EVSI=27,00; femmes en Flandre: EV=46,86; EVSI=28,30; femmes en Wallonie: EV=45,44; EVSI=25,30). L’inégalité de l’EV et de l’EVSI est plus importante en Région wallonne qu’en Région flamande. Seule la différence régionale de l’inégalité quant à l’espérance de vie est statistiquement significative. Conclusion : L’EVSI peut être utilisée pour le suivi de l’importance des inégalités de santé. Copyright Birkhäuser Verlag, Basel 2005

Suggested Citation

  • Herman Oyen & Nathalie Bossuyt & Patrick Deboosere & Sylvie Gadeyne & Emmanuel Abatih & Stefaan Demarest, 2005. "Differential inequity in health expectancy by region in Belgium," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 50(5), pages 301-310, October.
  • Handle: RePEc:spr:ijphth:v:50:y:2005:i:5:p:301-310
    DOI: 10.1007/s00038-005-5017-y
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    Citations

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    Cited by:

    1. Lefebvre, Mathieu & Pestieau, Pierre & Ponthiere, Gregory, 2019. "Missing poor and income mobility," Journal of Comparative Economics, Elsevier, vol. 47(2), pages 330-366.
    2. Mathieu Lefebvre & Pierre Pestieau & Gregory Ponthiere, 2013. "Measuring poverty without the Mortality Paradox," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 40(1), pages 285-316, January.
    3. A. Burgio & L. Murianni & P. Folino-Gallo, 2009. "Differences in Life Expectancy and Disability Free Life Expectancy in Italy. A Challenge to Health Systems," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 92(1), pages 1-11, May.
    4. Patrick Deboosere & Sylvie Gadeyne & Herman Oyen, 2009. "The 1991–2004 Evolution in Life Expectancy by Educational Level in Belgium Based on Linked Census and Population Register Data," European Journal of Population, Springer;European Association for Population Studies, vol. 25(2), pages 175-196, May.
    5. Emmanuelle Cambois & Caroline Laborde & Isabelle Romieu & Jean-Marie Robine, 2011. "Occupational inequalities in health expectancies in France in the early 2000s: Unequal chances of reaching and living retirement in good health," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 25(12), pages 407-436.
    6. Mathieu Lefèbvre & Pierre Pestieau & Gregory Ponthiere, 2018. "FGT Old†Age Poverty Measures and the Mortality Paradox: Theory and Evidence," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 64(2), pages 428-458, June.

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