The socio-economic status gradient in median lifespan by birth cohorts: Evidence from Dutch Olympic athletes born between 1852 and 1947
Autoři:
Adriaan Kalwij aff001
Působiště autorů:
Utrecht University, School of Economics, Utrecht, The Netherlands
aff001
Vyšlo v časopise:
PLoS ONE 14(12)
Kategorie:
Research Article
doi:
https://doi.org/10.1371/journal.pone.0226269
Souhrn
This paper quantifies the socio-economic status (SES) gradient in median lifespan for three birth cohort groups. For this, mortality models were estimated using unique data on the SES of Dutch Olympic athletes born between 1852 and 1947, and who were followed until their death (or December 2018). The empirical findings show that for the older birth cohorts (1852–1899) there were no significant differences in median lifespan between SES groups. For the middle cohorts (1900–1919), the low SES athletes had a significantly lower median lifespan of five years less compared to medium SES athletes and the median lifespans of high and medium SES athletes did not differ significantly. For the younger cohorts (1920–1947), large and statistically significant differences were found between the three SES groups: low SES athletes had a median lifespan of about six years lower than medium SES athletes, while high SES athletes had an almost five years higher median lifespan compared to medium SES athletes. These new findings, which can be reconciled with the existing literature, suggest a strong steepening of the population SES-lifespan gradient over time in the Netherlands.
Klíčová slova:
Behavioral and social aspects of health – Cohort studies – Death rates – Life expectancy – Netherlands – Professions – Socioeconomic aspects of health – Sports
Zdroje
1. Cutler DM, Lange F, Meara E, Richards-Shubik S and Ruhm CJ. Rising educational gradients in mortality: The role of behavioral risk factors. Journal of Health Economics. 2011; 30: 1174–1187. doi: 10.1016/j.jhealeco.2011.06.009 21925754
2. Mackenbach JP, Kulhánová I, Artnik B, Bopp M, Borrell C, Clemens T, et al. Changes in mortality inequalities over two decades: Register based study of European countries. British Medical Journal. 2016; 353: i1732. doi: 10.1136/bmj.i1732 27067249
3. Dow WH, Rehkopf DH. Socioeconomic gradients in health in international and historical context. Annals of the New York Academy of Sciences. 2010; 1186: 24–36. doi: 10.1111/j.1749-6632.2009.05384.x 20201866
4. Deaton A. Policy implications of the gradient of health and wealth. Health Affairs. 2002; 21, 13–30.
5. Bengtsson T, Dribe M, Helgertz J. When did the health gradient emerge? Income, social class and mortality, Sweden 1813–2011, Lund papers in economic demography. Lund University School of Economics and Management. 2018:2.
6. Pamuk ER. Social class inequality in mortality from 1921 to 1972 in England and Wales. Population Studies. 1985; 39(1): 17–31. doi: 10.1080/0032472031000141256 11611750
7. Martin WJ. Social class mortality. Human Biology. 1945; 17(1): 1–12.
8. Antonovsky A. Social class, life expectancy and overall mortality. The Milbank Memorial Fund Quarterly. 1967; 45 (2/1): 31–73.
9. Van Reek J. Mortality by social class among males in The Netherlands since the nineteenth century. Genus. 1993; 49 (1/2): 159–164.
10. Van Poppel F, Jennissen R, Mandemakers K. Time trends in social class mortality differentials in the Netherlands, 1820–1920: An assessment based on indirect estimation techniques. Social Science History. 2009; 33(2): 119–153.
11. Mackenbach JP. Socio-economic health differences in the Netherlands: A review of recent empirical findings. Social Science & Medicine. 1992; 34(3): 213–226.
12. Bijkerk A. Olympisch oranje. Van Athene 1896 tot en met Londen 2012 (zomer- en winterspelen). Spaar en Hout, Haarlem; 2012.
13. Wikipedia. 2019. Available from: https://nl.wikipedia.org/
14. Human Mortality Database. 2019. Available from: http://www.mortality.org/
15. Royal Dutch Actuarial Association. 2019. Available from: https://www.ag-ai.nl/
16. Cox DR. Regression models and life tables. Journal of the Royal Statistical Society. Series B (Methodological). 1972; 34 (2): 187–220.
17. Kalwij A. The effects of competition outcomes on health: Evidence from the lifespans of U.S. Olympic medalists. Economics and Human Biology. 2018; 31: 276–286. doi: 10.1016/j.ehb.2018.10.001 30447409
18. Maffetone PB, Laursen PB. Athletes: Fit but unhealthy? Sports Medicine—Open. 2016; 2:24. doi: 10.1186/s40798-016-0048-x 27340616
19. Kok A. 1936 Wij gingen naar Berlijn. Thomas Rap, Amsterdam; 2017.
20. Antero-Jacquemin J, Desgorces FD, Dor F, Sedeaud A, Haïda A, LeVan P, et al. Row for your life: A century of mortality follow-up of French Olympic rowers. PLoS ONE. 2014; 9(11): e113362. https://doi.org/10.1371/journal.pone.0113362 25402483
21. Clarke PM, Walter SJ, Hayen A, Mallon WJ., Heijmans J, Studdert DM. Survival of the fittest: Retrospective cohort dtudy of the longevity of Olympic medallists in the modern era. British Medical Journal. 2012; 345: e8308. doi: 10.1136/bmj.e8308 23241272
22. Zwiers R, Zandtvoord FWA, Engelaer FM, Van Bodegom D, Van der Ouderaa FJG, Westedorp GJ. Mortality in former Olympic athletes: Retrospective cohort analysis. British Medical Journal. 2012; 345: e7456. doi: 10.1136/bmj.e7456 23241269
23. Lumey LH, Van Poppel FWA. The Dutch Famine of 1944–45: Mortality and Morbidity in Past and Present Generations. Social History of Medicine. 1994; 7(2): 229–246. doi: 10.1093/shm/7.2.229 11639327
24. Van Kippersluis H, O'Donnell O, Van Doorslaer E. Long run returns to education: Does schooling lead to an extended old age? Journal of Human Resources. 2011; 46(4): 695–721.
25. Proctor RN. The history of the discovery of the cigarette—lung cancer link: evidentiary traditions, corporate denial, global toll. Tobacco Control. 2012; 21(2):87–91. doi: 10.1136/tobaccocontrol-2011-050338 22345227
26. Van den Berg GJ, Lindeboom M., Portrait F. Economic conditions early in life and individual mortality, American Economic Review. 2006; 96(1): 290–302. doi: 10.1257/000282806776157740 29125729
27. Laporte A. Do economic cycles have a permanent effect on population health? Revisiting the Brenner hypothesis, Health Economics. 2004; 12: 767–770.
28. Ranabhat CL, Atkinson J, Park M-B, Kim C-B, Jakovljevic M. The influence of universal health coverage on life expectancy at birth (LEAB) and healthy life expectancy (HALE): A multi-country cross-sectional study. Frontiers in Pharmacology. 2018; 9:960, doi: 10.3389/fphar.2018.00960 30279657
29. Katherine MK, March D, Link BG, Chilcoat HD, Sussera E. Do socio-economic gradients in smoking emerge differently across time by gender? Implications for the tobacco epidemic from a pregnancy cohort in California, USA. Social Science & Medicine. 2013; 76(1): 101–106.
30. Muns S, Marike Knoef M, van Soest A. Verschil in levensverwachting tussen lage en hoge inkomens is verder gestegen. Me Judice, 2018; June 28.
31. Van Poppel F, Jonker M, Mandemakers K. Differential infant and child mortality in three Dutch regions, 1812–1909. Economic History Review. 2005; LVIII, 2: 272–309.
32. Schellekens J, Van Poppel FWA. Early-life conditions and adult mortality decline in Dutch cohorts born 1812–1921. Population Studies. 2016; 70 (3): 327–343.
33. Kalwij AS, Alessie RJM, Knoef M. Individual Income and Remaining Life Expectancy at the Statutory Retirement Age of 65 in the Netherlands. Demography. 2013; 50(1): 181–206. doi: 10.1007/s13524-012-0139-3 22975777
34. Cutler DM, Lleras-Muney A, Vogl T. Socioeconomic status and health: Dimensions and mechanisms. In: Glied S, Smith PC, editors. The Oxford Handbook of Health Economics: Oxford University Press, New York; 2011: 124–163.
35. Cesarini D, Lindqvist E, Östling R, Wallace B. Wealth, health, and child development: Evidence from administrative data on Swedish lottery players. Quarterly Journal of Economics. 2016; 131 (2): 687–738.
36. Lunau T, Siegrist J, Dragano N, Wahrendorf M. The association between education and work stress: Does the policy context matter? PLoS ONE. 2015; 10(3): e0121573. https://doi.org/10.1371/journal.pone.0121573 25812142
37. Lipowicz A, Szklarska A, Mitas AW. Biological costs of economic transition: Stress levels during the transition from communism to capitalism in Poland. Economics and Human Biology. 2016; 21: 90–99. doi: 10.1016/j.ehb.2015.12.005 26799229
38. Siegrist J, Marmot M. Health inequalities and the psychosocial environment—Two scientific challenges. Social Science & Medicine. 2004; 58 (8): 1463–1473.
39. Jakovljevic MB, Vukovic M, Fontanesi J. Life expectancy and health expenditure evolution in Eastern Europe—DiD and DEA analysis. Expert Review of Pharmacoeconomics & Outcomes Research. 2016; 16(4): 537–546.
40. Hurd M, Kapteyn A. Health, wealth, and the role of institutions. Journal of Human Resources. 2003; 38:387–415
41. Link BG, Phelan J. Social conditions as fundamental causes of disease. Journal of Health and Social Behavior. 1995; (Extra issue): 80–94
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