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Social gradient in life expectancy and health expectancy in Denmark

Author

Listed:
  • Henrik Brønnum-Hansen
  • Otto Andersen
  • Mette Kjøller
  • Niels Rasmussen

Abstract

Objectives: Health status of a population can be evaluated by health expectancy expressed as average lifetime in various states of health. The purpose of the study was to compare health expectancy in population groups at high, medium and low educational levels. Methods: Health interview data were combined with life table figures using Sullivan’s method. Results: Life expectancy was 4.3 years longer for 30-year-old men with a high educational level than for those with a low level. At age 30, the proportion of expected lifetime in self-rated good health was 67.7%, 76.1% and 82.3% for men with a low, medium and high educational level, respectively. Among women, life expectancy differed by 2.7 years between low and high educational level, and the proportion of expected lifetime in self-rated good health was 62.5% at the low and 80.5% at the high educational level. Conclusions: Educational level and life expectancy are clearly related. The social gradient in terms of health expectancy is even greater than that in terms of life expectancy. Copyright Birkhäuser-Verlag Basel 2004

Suggested Citation

  • Henrik Brønnum-Hansen & Otto Andersen & Mette Kjøller & Niels Rasmussen, 2004. "Social gradient in life expectancy and health expectancy in Denmark," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 49(1), pages 36-41, January.
  • Handle: RePEc:spr:ijphth:v:49:y:2004:i:1:p:36-41
    DOI: 10.1007/s00038-003-3003-9
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    Citations

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    Cited by:

    1. Vanessa Yong & Yasuhiko Saito, 2009. "Trends in healthy life expectancy in Japan: 1986 - 2004," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 20(19), pages 467-494.
    2. Paul Bingley & Nabanita Datta Gupta & Peder J. Pedersen, 2017. "Health Capacity to Work at Older Ages in Denmark," NBER Chapters, in: Social Security Programs and Retirement around the World: The Capacity to Work at Older Ages, pages 85-110, National Bureau of Economic Research, Inc.
    3. Côté-Sergent, Aurelie & Fonseca, Raquel & Strumpf, Erin, 2020. "Comparing the education gradient in health deterioration among the elderly in six OECD countries," Health Policy, Elsevier, vol. 124(3), pages 326-335.
    4. Yesika Natali Fernández-Ortiz, 2024. "Healthy Aging in Colombia 2018 and Its Variation in Relation to Social Conditions," IJERPH, MDPI, vol. 21(9), pages 1-17, September.
    5. Hoffmann, Rasmus, 2011. "Socioeconomic inequalities in old-age mortality: A comparison of Denmark and the USA," Social Science & Medicine, Elsevier, vol. 72(12), pages 1986-1992, June.
    6. 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.
    7. Paulina Ucieklak-Jeż & Agnieszka Bem, 2020. "Does “Rural” Always Mean the Same? Macrosocial Determinants of Rural Populations’ Health in Poland," IJERPH, MDPI, vol. 17(2), pages 1-17, January.
    8. Aïda Solé-Auró & Unai Martín & Antía Domínguez Rodríguez, 2020. "Educational Inequalities in Life and Healthy Life Expectancies among the 50-Plus in Spain," IJERPH, MDPI, vol. 17(10), pages 1-10, May.

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