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Journal of Population Economics

, Volume 27, Issue 3, pp 895–919 | Cite as

The impact of early-life economic conditionson cause-specific mortality during adulthood

  • Gary Y. C. Yeung
  • Gerard J. van den Berg
  • Maarten Lindeboom
  • France R. M. PortraitEmail author
Original Paper

Abstract

The aim of this study is to assess the effects of economic conditions in early life on cause-specific mortality during adulthood. The analyses are performed on a unique historical sample of 14,520 Dutch individuals born in 1880–1918, who are followed throughout life. The economic conditions in early life are characterized using cyclical variations in annual real per capital gross domestic product during pregnancy and the first year of life. Exposure to recessions in early life appears to significantly increase cancer mortality risks of older males and females. It also significantly increases other mortality risks especially for older females. The residual life expectancies are up to about 8 and 6 % lower for male and female cancer mortality, respectively, and up to about 5 % lower for female cardiovascular mortality. Our analyses show that cardiovascular and cancer mortality risks are related and that not taking this association into account leads to biased inference.

Keywords

Life expectancy Cancer Cardiovascular disease Survival analyses Competing mortality risks Recession 

JEL Classifications

C41 I10 E32 

Notes

Acknowledgments

We thank the editor, two anonymous referees and participants at the European Social Science History Conference, the International Student Congress of Medical Sciences, and the European Conference on Health Economics for their useful suggestions. This project was part of the first author’s extracurricular research programme of medicine at the VU University Amsterdam. We thank Henk de Vries and the referees of that programme for their useful comments. We are indebted to the International Institute of Social History in Amsterdam (IISH), Statistics Netherlands in The Hague (CBS) and Angus Maddison, for access to their data. We thank the CBS Centre for Policy Related Statistics in The Hague for their assistance and Kees Mandemakers (IISH) for his help. This project received financial support from the VU University Medical Centre’s Department of General Practice in Amsterdam for the acquisition of the CBS data.

References

  1. Abbring JH, van den Berg GJ (2003) The identifiability of the mixed proportional hazards competing risks model. J R Stat Soc 65(3):701–710CrossRefGoogle Scholar
  2. Ahlgren M, Wohlfahrt J, Olsen LW, Sørensen TI, Melbye M (2007) Birth weight and risk of cancer. Cancer 110:412–419CrossRefGoogle Scholar
  3. Almond DV (2006) Is the 1918 influenza pandemic over? Long-term effects of in utero influenza exposure in the post 1940 U.S. population. J Polit Econ 114:672–712CrossRefGoogle Scholar
  4. Almond DV, Currie J (2011) Killing me softly: the fetal origins hypothesis. J Econ Perspect 25(3):153–172CrossRefGoogle Scholar
  5. Barker D (1992) Foetal and infant origins of adult diseases. BMJ Publishing Group, LondonGoogle Scholar
  6. Bengtsson T, Lindstrom M (2003) Airborne infectious diseases during infancy and mortality in later life in southern Sweden, 1766–1894. Int J Epidemiol 32:286–294CrossRefGoogle Scholar
  7. Bruckner T, Catalino R (2007) The sex ratio and Age-specific male mortality: evidence for culling in utero. Am J Hum Biol 19:763–773CrossRefGoogle Scholar
  8. Cameron AC, Trivedi PK (2005) Microeconometrics: methods and applications. Cambridge University Press, New YorkCrossRefGoogle Scholar
  9. CBS (1935) Groote Internationale Lijst van Doodsoorzaken 1935. CBS, ’s-GravenhageGoogle Scholar
  10. CBS (1940) Groote Internationale Lijst van Doodsoorzaken 1938. CBS, ’s-GravenhageGoogle Scholar
  11. Chen Y, Zhou L (2007) The long-term health and economic consequences of the 1959–1961 famine in China. J Health Econ 26:659–681CrossRefGoogle Scholar
  12. Everson-Rose SA, Lewis TT (2005) Psychosocial factors and cardiovascular diseases. Annu Rev Public Health 26:469–500CrossRefGoogle Scholar
  13. Galobardes B, Lynch JW, Smith DG (2008) Is the association between childhood socioeconomic circumstances and cause-specific mortality established? Update of a systematic review. J Epidemiol Commun Health 62:387–390CrossRefGoogle Scholar
  14. Galobardes B, Lynch JW, Smith DG (2004) Childhood socioeconomic circumstances and cause-specific mortality in adulthood: systematic review and interpretation. Epidemiol Rev 26:7–21CrossRefGoogle Scholar
  15. Garssen B (2004) Psychological factors and cancer development: evidence after 30 years of research. Clin Psychol Rev 24(3):315–338CrossRefGoogle Scholar
  16. Hamil-Luker J, O’Rand AM (2007) Gender differences in the link between childhood socioeconomic conditions and heart attack risk in adulthood. Demography 44:137–158CrossRefGoogle Scholar
  17. Harteloh P, de Bruin K, Kardaun J (2010) The reliability of cause-of-death coding in The Netherlands. Eur J Epidemiol 25:531–538CrossRefGoogle Scholar
  18. Hodrick RJ, Prescott EC (1997) Postwar U.S. business cycles: an empirical investigation. J Money Credit Bank 29:1–16CrossRefGoogle Scholar
  19. Honoré BE, Lleras-Muney A (2006) Bounds in competing risks models and the war on cancer. Econometrica 74:1675–1698CrossRefGoogle Scholar
  20. Janssen F, Kunst AE (2004) ICD coding changes and discontinuities in trends in cause-specific mortality in six European countries, 1950–99. Bull World Health Organ 82:904–913Google Scholar
  21. Johansson K (2004) Child mortality during the demographic transition: a longitudinal analysis of a rural population in southern Sweden, 1766–1894. PhD thesis, Lunds UniversitetGoogle Scholar
  22. Kåreholt I (2001) The long shadow of socioeconomic conditions in childhood: do they affect class inequalities in mortality? In: Jonsson JO, Mills C (eds) Cradle to grave: life-course change in modern Sweden. Sociology, DurhamGoogle Scholar
  23. Kleinbaum DG, Klein M (2005) Survival analysis: a self-learning text, 2nd edn. Springer, New YorkGoogle Scholar
  24. Koupil I, Shestov D, Sparén P, Plavinskaja S, Parfenova N, Vagerö D (2007) Blood pressure, hypertension and mortality from circulatory disease in men and women who survived the siege of Leningrad. Eur J Epidem 22:223–234CrossRefGoogle Scholar
  25. Kuh D, Ben-Shlomo Y (2004) A life course approach to chronic disease epidemiology, 2nd edn. Oxford University Press, OxfordCrossRefGoogle Scholar
  26. Lancaster T (1990) The econometric analysis of transition data. Cambridge University Press, CambridgeGoogle Scholar
  27. Lindeboom M, Portrait F, van den Berg GJ (2010) Long-run longevity effects of a nutritional shock early in life: the Dutch potato famine of 1846–1847. J Health Econ 29(5):617–29CrossRefGoogle Scholar
  28. Lowan AN (1972) Orthogonal Polynomials. In: Abramowitz M, Stegun IA (eds) Handbook of mathematical functions with formulas, graphs, and mathematical tables. Dover, New York, pp 771–802Google Scholar
  29. Luo Y, Waite LJ (2005) The impact of childhood and adult SES on physical, mental and cognitive well-being in later life. J Gerontology 60(2):S93–S101CrossRefGoogle Scholar
  30. Maddison A (2009) Statistics on world population, GDP and per capita GDP, 1-2006 AD. http://www.ggdc.net/maddison/Historical_Statistics/vertical-file02-2010.xls
  31. Mandemakers K (2000) Netherlands—historical sample of the Netherlands. In: Hall PK, McCaa R, Thorvaldsen G (eds) Handbook of international historical microdata for population research. Minnesota Population Center, Minneapolis, pp 149–178Google Scholar
  32. Moeyes P (2001) Buiten schot: Nederland tijdens de Eerste Wereldoorlog: 1914-1918. De Arbeiderspers, AntwerpenGoogle Scholar
  33. Slopen N, Koenen KC, Kubzansky LD (2012) Childhood adversity and immune and inflammatory biomarkers associated with cardiovascular risk in youth: a systematic review. Brain, Behav Immun 26:239–250CrossRefGoogle Scholar
  34. StataCorp (2007) Stata Statistical Software: release 10. StataCorp LP, College Station, TXGoogle Scholar
  35. van der Velden LFJ, Francke AL, Hingstman L, Willems DL (2009) Dying from cancer or other chronic diseases in the Netherlands: ten-year trends derived from death certificate data. BMC Palliat Care 8:4CrossRefGoogle Scholar
  36. Vugs R (2002) Many houses mourned: the Spanish flu in the Netherlands. Dutch edition: veel huizen wordt gerouwd: de Spaanse griep in Nederland). Aspekt, SoesterbergGoogle Scholar
  37. World Health Organization (1989) Infant feeding the physiological basis. Bull World Health Organ, supplement to volume 67Google Scholar
  38. World Health Organization (2005) Chronic diseases and their common risk factors. Facing the facts #1Google Scholar
  39. Wienke A, Christensen K, Skytthe A, Yashin AI (2002) Genetic analysis of cause of death in a mixture model of bivariate lifetime data. Stat Model 2:89–102CrossRefGoogle Scholar
  40. Wintle M (2000) An economic and social history of the Netherlands, 1880–1920: demographic, economic and social transition, 1st edn. Cambridge University Press, CambridgeCrossRefGoogle Scholar
  41. van den Berg GJ, Doblhammer G, Christensen K (2011) Being born under adverse economic conditions leads to a higher cardiovascular mortality rate later in life: evidence based on individuals born at different stages of the business cycle. Demography 48(2):507–530CrossRefGoogle Scholar
  42. van den Berg GJ, Doblhammer G, Christensen K (2009a) Exogenous determinants of early-life conditions, and mortality later in life. Soc Sci Med 68:1591–1598CrossRefGoogle Scholar
  43. van den Berg GJ, Lindeboom M, Lopez M (2009b) Inequality in individual mortality and economic conditions earlier in life. Soc Sci Med 69(9):1360–1367CrossRefGoogle Scholar
  44. van den Berg GJ, Lindeboom M, Portrait F (2006) Economic conditions early in life and individual mortality. Am Econ Rev 96:290–302CrossRefGoogle Scholar
  45. van den Berg GJ, Lindeboom M, Ridder G (1994) Attrition in longitudinal panel data and the empirical analysis of dynamic labour market behaviour. J Appl Econ 9(4):421–435CrossRefGoogle Scholar
  46. van Leeuwen MH, Maas I (2005) A short note on HISCLASS. Unpublished workGoogle Scholar
  47. van Leeuwen MH, Maas I, Miles A (2002) HISCO: Historical International Standard Classification of Occupations. Leuven University Press, LeuvenGoogle Scholar
  48. van Poppel F, Deerenberg I, Wolleswinkel-Van den Bosch J, Ekamper P (2005) Hoe lang leefden wij? Historische veranderingen in de levensduur en het doodsoorzakenpatroon. Bevolkingstrends 53:18–25Google Scholar
  49. van Zanden JL (1998) The best of both worlds: catching up 1914–1929. In: The economic history of the Netherlands, 1914–1995: a small open economy in the ‘long’ twentieth century. Routledge, London, pp 91–105Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Gary Y. C. Yeung
    • 1
  • Gerard J. van den Berg
    • 2
    • 3
    • 4
    • 5
  • Maarten Lindeboom
    • 5
    • 6
    • 7
    • 8
  • France R. M. Portrait
    • 9
    Email author
  1. 1.VU University Medical Centre AmsterdamVU University AmsterdamAmsterdamThe Netherlands
  2. 2.University of MannheimMannheimGermany
  3. 3.IFAUUppsalaSweden
  4. 4.VU University AmsterdamAmsterdamThe Netherlands
  5. 5.IZABonnGermany
  6. 6.Tinbergen InstituteVU University AmsterdamAmsterdamThe Netherlands
  7. 7.HEBBergenNorway
  8. 8.NetsparTilburgThe Netherlands
  9. 9.Institute of Health SciencesVU University AmsterdamAmsterdamThe Netherlands

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