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Education and risk of coronary heart disease: assessment of mediation by behavioral risk factors using the additive hazards model

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An Erratum to this article was published on 19 April 2014

Abstract

Educational-related gradients in coronary heart disease (CHD) and mediation by behavioral risk factors are plausible given previous research; however this has not been comprehensively addressed in absolute measures. Questionnaire data on health behavior of 69,513 participants, 52 % women, from seven Danish cohort studies were linked to registry data on education and incidence of CHD. Mediation by smoking, low physical activity, and body mass index (BMI) on the association between education and CHD were estimated by applying newly proposed methods for mediation based on the additive hazards model, and compared with results from the Cox proportional hazards model. Short (vs. long) education was associated with 277 (95 % CI: 219, 336) additional cases of CHD per 100,000 person-years at risk among women, and 461 (95 % CI: 368, 555) additional cases among men. Of these additional cases 17 (95 % CI: 12, 22) for women and 37 (95 % CI: 28, 46) for men could be ascribed to the pathway through smoking. Further, 39 (95 % CI: 30, 49) cases for women and 94 (95 % CI: 79, 110) cases for men could be ascribed to the pathway through BMI. The effects of low physical activity were negligible. Using contemporary methods, the additive hazards model, for mediation we indicated the absolute numbers of CHD cases prevented when modifying smoking and BMI. This study confirms previous claims based on the Cox proportional hazards model that behavioral risk factors partially mediates the effect of education on CHD, and the results seems not to be particularly model dependent.

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References

  1. Rose G, Marmot MG. Social class and coronary heart disease. Br Heart J. 1981;45(1):13–9.

    Article  PubMed  CAS  Google Scholar 

  2. Harper S, Lynch J, Smith GD. Social determinants and the decline of cardiovascular diseases: understanding the links. Annu Rev Public Health. 2011;32:39–69.

    Article  PubMed  Google Scholar 

  3. Kaplan GA, Keil JE. Socioeconomic factors and cardiovascular disease: a review of the literature. Circulation. 1993;88(4 Pt 1):1973–98.

    Article  PubMed  CAS  Google Scholar 

  4. Lynch JW, Kaplan GA, Cohen RD, Tuomilehto J, Salonen JT. Do cardiovascular risk factors explain the relation between socioeconomic status, risk of all-cause mortality, cardiovascular mortality, and acute myocardial infarction? Am J Epidemiol. 1996;144(10):934–42.

    Article  PubMed  CAS  Google Scholar 

  5. Emberson JR, Whincup PH, Morris RW, Walker M. Social class differences in coronary heart disease in middle-aged British men: implications for prevention. Int J Epidemiol. 2004;33(2):289–96.

    Article  PubMed  Google Scholar 

  6. Albert MA, Glynn RJ, Buring J, Ridker PM. Impact of traditional and novel risk factors on the relationship between socioeconomic status and incident cardiovascular events. Circulation. 2006;114(24):2619–26.

    Article  PubMed  Google Scholar 

  7. Beauchamp A, Peeters A, Wolfe R, Turrell G, Harriss LR, Giles GG, et al. Inequalities in cardiovascular disease mortality: the role of behavioural, physiological and social risk factors. J Epidemiol Community Health. 2010;64(6):542–8.

    Article  PubMed  Google Scholar 

  8. Ernstsen L, Bjerkeset O, Krokstad S. Educational inequalities in ischaemic heart disease mortality in 44,000 Norwegian women and men: the influence of psychosocial and behavioural factors. The HUNT Study. Scand J Public Health. 2010;38(7):678–85.

    Article  PubMed  Google Scholar 

  9. Laaksonen M, Talala K, Martelin T, Rahkonen O, Roos E, Helakorpi S, et al. Health behaviours as explanations for educational level differences in cardiovascular and all-cause mortality: a follow-up of 60 000 men and women over 23 years. Eur J Public Health. 2008;18(1):38–43.

    Article  PubMed  Google Scholar 

  10. Lynch J, Davey SG, Harper S, Bainbridge K. Explaining the social gradient in coronary heart disease: comparing relative and absolute risk approaches. J Epidemiol Community Health. 2006;60(5):436–41.

    Article  PubMed  Google Scholar 

  11. Strand BH, Tverdal A. Can cardiovascular risk factors and lifestyle explain the educational inequalities in mortality from ischaemic heart disease and from other heart diseases? 26 year follow up of 50,000 Norwegian men and women. J Epidemiol Community Health. 2004;58(8):705–9.

    Article  PubMed  Google Scholar 

  12. Hafeman DM. A sufficient cause based approach to the assessment of mediation. Eur J Epidemiol. 2008;23(11):711–21.

    Article  PubMed  Google Scholar 

  13. Hafeman DM, Schwartz S. Opening the black box: a motivation for the assessment of mediation. Int J Epidemiol. 2009;38(3):838–45.

    Article  PubMed  Google Scholar 

  14. van Lenthe FJ, Gevers E, Joung IM, Bosma H, Mackenbach JP. Material and behavioral factors in the explanation of educational differences in incidence of acute myocardial infarction: the Globe study. Ann Epidemiol. 2002;12(8):535–42.

    Article  PubMed  Google Scholar 

  15. Kilander L, Berglund L, Boberg M, Vessby B, Lithell H. Education, lifestyle factors and mortality from cardiovascular disease and cancer. A 25-year follow-up of Swedish 50-year-old men. Int J Epidemiol. 2001;30(5):1119–26.

    Article  PubMed  CAS  Google Scholar 

  16. Kivimaki M, Lawlor DA, Davey SG, Kouvonen A, Virtanen M, Elovainio M, et al. Socioeconomic position, co-occurrence of behavior-related risk factors, and coronary heart disease: the Finnish Public Sector study. Am J Public Health. 2007;97(5):874–9.

    Article  PubMed  Google Scholar 

  17. Aalen O. A model for non-parametric regression analysis of counting processes. In: Klonecki W, Kozek A, Rosinski J, editors. Lecture notes in statistics, mathematical statistics, and probability theory. New York: Springer; 1980. p. 1–25.

    Google Scholar 

  18. Lange T, Hansen JV. Direct and indirect effects in a survival context. Epidemiology. 2011;22(4):575–81.

    Article  PubMed  Google Scholar 

  19. Appleyard M, Hansen AT, Schnohr P, Jensen G, Nyboe J. The Copenhagen city heart study. A book of tables with data from the first examination (1976–1978) and a 5-year follow-up (1981–83). Scand J Soc Med Suppl. 1989;170(41):1–160.

    Google Scholar 

  20. Tjonneland A, Olsen A, Boll K, Stripp C, Christensen J, Engholm G, et al. Study design, exposure variables, and socioeconomic determinants of participation in diet, cancer and health: a population-based prospective cohort study of 57,053 men and women in Denmark. Scand J Public Health. 2007;35(4):432–41.

    Article  PubMed  Google Scholar 

  21. Osler M, Linneberg A, Glümer C, Jørgensen T. The cohorts at the Research Centre for Prevention and Health, formerly The Glostrup Population Studies. Int J Epidemiol. 2011;40(3):602–10.

    Article  PubMed  Google Scholar 

  22. Jorgensen T, Borch-Johnsen K, Thomsen TF, Ibsen H, Glumer C, Pisinger C. A randomized non-pharmacological intervention study for prevention of ischaemic heart disease: baseline results Inter99. Eur J Cardiovasc Prev Rehabil. 2003;10(5):377–86.

    Article  PubMed  Google Scholar 

  23. Gerdes LU, Bronnum-Hansen H, Madsen M, Borch-Johnsen K, Jorgensen T, Sjol A, et al. Trends in selected biological risk factors for cardiovascular diseases in the Danish MONICA population, 1982–1992. J Clin Epidemiol. 2000;53(4):427–34.

    Article  PubMed  CAS  Google Scholar 

  24. Fortier I, Doiron D, Burton P, Raina P. Invited commentary: consolidating data harmonization—how to obtain quality and applicability? Am J Epidemiol. 2011;174(3):261–4.

    Article  PubMed  Google Scholar 

  25. Grambsch PM, Therneau TM. Proportional hazards tests and diagnostics based on weighted residuals. Biometrika. 1994;81(3):515–26.

    Article  Google Scholar 

  26. VanderWeele TJ. Causal mediation analysis with survival data. Epidemiology. 2011;22(4):582–5.

    Article  PubMed  Google Scholar 

  27. VanderWeele TJ. Bias formulas for sensitivity analysis for direct and indirect effects. Epidemiology. 2010;21(4):540–51.

    Article  PubMed  Google Scholar 

  28. Martinussen T, Scheike TH. Dynamic regression models for survival data. New York: Springer; 2006.

    Google Scholar 

  29. Greenland S, Pearl J, Robins JM. Causal diagrams for epidemiologic research. Epidemiology. 1999;10(1):37–48.

    Article  PubMed  CAS  Google Scholar 

  30. VanderWeele TJ. Mediation analysis with multiple versions of the mediator. Epidemiology. 2012;23(3):454–63.

    Article  PubMed  Google Scholar 

  31. Hempler NF, Larsen FB, Nielsen SS, Diderichsen F, Andreasen AH, Jorgensen T. A registry-based follow-up study, comparing the incidence of cardiovascular disease in native Danes and immigrants born in Turkey, Pakistan and the former Yugoslavia: do social inequalities play a role? BMC Public Health. 2011;11:662.

    Article  PubMed  Google Scholar 

  32. Statistical overview of integration: population, education, and employment. Copenhagen: The Ministry of Refugee Immigration and Integration Affairs; 2010. http://www.nyidanmark.dk/NR/rdonlyres/373D7D82-3F91-4873-A3F0-1731A37DD18D/0/statistical_overview_of_integration_2010.pdf. Accessed 24 Aug 2012.

  33. Suadicani P, Hein HO, Gyntelberg F. Socioeconomic status and ischaemic heart disease mortality in middle-aged men: importance of the duration of follow-up. The Copenhagen Male Study. Int J Epidemiol. 2001;30(2):248–55.

    Article  PubMed  CAS  Google Scholar 

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Acknowledgments

We thank the collaborators behind the SIC Cohort Study: the Copenhagen City Heart Study, the Diet, Cancer and Health Study, and the cohorts at the Research Center for Prevention and Health. This work was supported by the Commission of Social Inequality in Cancer [Grant Number SU08004].

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The authors declare that they have no conflict of interest.

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Correspondence to Helene Nordahl.

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An erratum to this article is available at http://dx.doi.org/10.1007/s10654-014-9897-0.

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Nordahl, H., Rod, N.H., Frederiksen, B.L. et al. Education and risk of coronary heart disease: assessment of mediation by behavioral risk factors using the additive hazards model. Eur J Epidemiol 28, 149–157 (2013). https://doi.org/10.1007/s10654-012-9745-z

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