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Primary preventive potential of major lifestyle risk factors for acute myocardial infarction in men: an analysis of the EPIC-Heidelberg cohort

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Abstract

The aim of this study was to assess the preventive potential of major lifestyle risk factors for acute myocardial infarction (AMI) in middle-aged men. Among 10,981 men in the Heidelberg cohort of the European Prospective Investigation into Cancer and Nutrition, aged 40.2–65.8 years when recruited, 378 developed first-ever AMI during a median follow-up period of 11.4 years. Current smoking, excess body weight, being physically inactive, but not high alcohol consumption, were identified as the major lifestyle risk factors for AMI using Cox regression analysis. A competing AMI risk model built from cause-specific Cox regression models and considering the risk of death predicted 353 AMI cases, 182 (51.6 %) of which were estimated as preventable through adherence to a healthy lifestyle profile (never smoking, normal body weight, physically active, and moderate alcohol consumption). The calculated age-specific 5-year incidence rates for AMI in the actual cohort and in a hypothetical, comparable cohort with all men following the healthy lifestyle profile were 128 and 39, respectively, per 100,000 person-years for the age group 40–44, increasing to 468 and 307 per 100,000 person-years for the age group 65–69. The estimated AMI incidence rates for men with the healthy lifestyle profile are still somewhat higher than the average rates reported for documented low-incidence regions, such as parts of Japan. Our analysis confirms the strong primary preventive potential for AMI based on avoidance of smoking and excess body weight, and on regular physical activity.

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References

  1. Davies AR, Grundy E, Nitsch D, Smeeth L. Constituent country inequalities in myocardial infarction incidence and case fatality in men and women in the United Kingdom, 1996–2005. J Public Health (Oxf). 2011;33:131–8.

    Article  CAS  Google Scholar 

  2. Langorgen J, Igland J, Vollset SE, et al. Short-term and long-term case fatality in 11,878 patients hospitalized with a first acute myocardial infarction, 1979–2001: the Western Norway cardiovascular registry. Eur J Cardiovasc Prev Rehabil. 2009;16:621–7.

    Article  PubMed  Google Scholar 

  3. Rasmussen S, Abildstrom SZ, Rosen M, Madsen M. Case-fatality rates for myocardial infarction declined in Denmark and Sweden during 1987–1999. J Clin Epidemiol. 2004;57:638–46.

    Article  PubMed  Google Scholar 

  4. Wellenius GA, Mittleman MA. Disparities in myocardial infarction case fatality rates among the elderly: the 20-year Medicare experience. Am Heart J. 2008;156:483–90.

    Article  PubMed Central  PubMed  Google Scholar 

  5. Mackay J, Mensah G. The atlas of heart disease and stroke. Geneva: World Health Organization; 2004.

    Google Scholar 

  6. Ueshima H, Sekikawa A, Miura K, et al. Cardiovascular disease and risk factors in Asia: a selected review. Circulation. 2008;118:2702–9.

    Article  PubMed Central  PubMed  Google Scholar 

  7. Oliveira A, Barros H, Azevedo A, Bastos J, Lopes C. Impact of risk factors for non-fatal acute myocardial infarction. Eur J Epidemiol. 2009;24:425–32.

    Article  PubMed  Google Scholar 

  8. Merry AH, Boer JM, Schouten LJ, et al. Smoking, alcohol consumption, physical activity, and family history and the risks of acute myocardial infarction and unstable angina pectoris: a prospective cohort study. BMC Cardiovasc Disord. 2011;11:13.

    Article  PubMed Central  PubMed  Google Scholar 

  9. Yusuf S, Hawken S, Ounpuu S, et al. Obesity and the risk of myocardial infarction in 27,000 participants from 52 countries: a case-control study. Lancet. 2005;366:1640–9.

    Article  PubMed  Google Scholar 

  10. Burns DM. Epidemiology of smoking-induced cardiovascular disease. Prog Cardiovasc Dis. 2003;46:11–29.

    Article  PubMed  Google Scholar 

  11. Iqbal R, Anand S, Ounpuu S, et al. Dietary patterns and the risk of acute myocardial infarction in 52 countries: results of the INTERHEART study. Circulation. 2008;118:1929–37.

    Article  CAS  PubMed  Google Scholar 

  12. Mukamal KJ, Chiuve SE, Rimm EB. Alcohol consumption and risk for coronary heart disease in men with healthy lifestyles. Arch Intern Med. 2006;166:2145–50.

    Article  PubMed  Google Scholar 

  13. Camargo CA Jr, Stampfer MJ, Glynn RJ, et al. Moderate alcohol consumption and risk for angina pectoris or myocardial infarction in US male physicians. Ann Intern Med. 1997;126:372–5.

    Article  PubMed  Google Scholar 

  14. Kabagambe EK, Baylin A, Ruiz-Narvaez E, et al. Alcohol intake, drinking patterns, and risk of nonfatal acute myocardial infarction in Costa Rica. Am J Clin Nutr. 2005;82:1336–45.

    CAS  PubMed  Google Scholar 

  15. Riboli E, Hunt KJ, Slimani N, et al. European Prospective Investigation into Cancer and Nutrition (EPIC): study populations and data collection. Public Health Nutr. 2002;5:1113–24.

    Article  CAS  PubMed  Google Scholar 

  16. Riboli E, Kaaks R. The EPIC Project: rationale and study design. European Prospective Investigation into Cancer and Nutrition. Int J Epidemiol. 1997;26(Suppl 1):S6–14.

    Article  PubMed  Google Scholar 

  17. Boeing H, Korfmann A, Bergmann MM. Recruitment procedures of EPIC-Germany. European Investigation into Cancer and Nutrition. Ann Nutr Metab. 1999;43:205–15.

    Article  CAS  PubMed  Google Scholar 

  18. Boeing H, Wahrendorf J, Becker N. EPIC-Germany: a source for studies into diet and risk of chronic diseases. European Investigation into Cancer and Nutrition. Ann Nutr Metab. 1999;43(4):195–204.

    Article  CAS  PubMed  Google Scholar 

  19. Prevention of coronary heart disease in clinical practice. Recommendations of the second joint task force of European and other societies on coronary prevention. Eur Heart J. 1998;19:1434–503.

    Article  Google Scholar 

  20. Wareham NJ, Jakes RW, Rennie KL, et al. Validity and repeatability of a simple index derived from the short physical activity questionnaire used in the European Prospective Investigation into Cancer and Nutrition (EPIC) study. Public Health Nutr. 2003;6:407–13.

    Article  PubMed  Google Scholar 

  21. Bundesinstitut für gesundheitlichen Verbraucherschutz und Veterinärmedizin. Der Bundeslebensmittelschlüssel (BLS II.3): Konzeption, Aufbau und Dokumentation der Datenbank blsdat. Berlin, 1999.

  22. Bohlscheid-Thomas S, Hoting I, Boeing H, Wahrendorf J. Reproducibility and relative validity of energy and macronutrient intake of a food frequency questionnaire developed for the German part of the EPIC project. European Prospective Investigation into Cancer and Nutrition. Int J Epidemiol. 1997;26(Suppl 1):S71–81.

    Article  PubMed  Google Scholar 

  23. Bohlscheid-Thomas S, Hoting I, Boeing H, Wahrendorf J. Reproducibility and relative validity of food group intake in a food frequency questionnaire developed for the German part of the EPIC project. European Prospective Investigation into Cancer and Nutrition. Int J Epidemiol. 1997;26(Suppl 1):S59–70.

    Article  PubMed  Google Scholar 

  24. Nagura J, Iso H, Watanabe Y, et al. Fruit, vegetable and bean intake and mortality from cardiovascular disease among Japanese men and women: the JACC Study. Br J Nutr. 2009;102:285–92.

    Article  CAS  PubMed  Google Scholar 

  25. Rimm EB, Ascherio A, Giovannucci E, et al. Vegetable, fruit, and cereal fiber intake and risk of coronary heart disease among men. JAMA. 1996;275:447–51.

    Article  CAS  PubMed  Google Scholar 

  26. de Goede J, Geleijnse JM, Boer JM, et al. Marine (n-3) fatty acids, fish consumption, and the 10-year risk of fatal and nonfatal coronary heart disease in a large population of Dutch adults with low fish intake. J Nutr. 2010;140:1023–8.

    Article  PubMed  Google Scholar 

  27. Micha R, Wallace SK, Mozaffarian D. Red and processed meat consumption and risk of incident coronary heart disease, stroke, and diabetes mellitus: a systematic review and meta-analysis. Circulation. 2010;121:2271–83.

    Article  PubMed Central  PubMed  Google Scholar 

  28. Soedamah-Muthu SS, Ding EL, Al-Delaimy WK, et al. Milk and dairy consumption and incidence of cardiovascular diseases and all-cause mortality: dose-response meta-analysis of prospective cohort studies. Am J Clin Nutr. 2011;93:158–71.

    Article  CAS  PubMed  Google Scholar 

  29. Nothlings U, Schulze MB, Weikert C, et al. Intake of vegetables, legumes, and fruit, and risk for all-cause, cardiovascular, and cancer mortality in a European diabetic population. J Nutr. 2008;138:775–81.

    PubMed  Google Scholar 

  30. Patterson E, Larsson SC, Wolk A, Akesson A. Association between dairy food consumption and risk of myocardial infarction in women differs by type of dairy food. J Nutr. 2013;143:74–9.

    Article  CAS  PubMed  Google Scholar 

  31. Willett W, Stampfer MJ. Total energy intake: implications for epidemiologic analyses. Am J Epidemiol. 1986;124:17–27.

    CAS  PubMed  Google Scholar 

  32. Andersen PK, Geskus RB, de Witte T, Putter H. Competing risks in epidemiology: possibilities and pitfalls. Int J Epidemiol. 2012;41:861–70.

    Article  PubMed  Google Scholar 

  33. Wolbers M, Koller MT, Witteman JC, Steyerberg EW. Prognostic models with competing risks: methods and application to coronary risk prediction. Epidemiology. 2009;20:555–61.

    Article  PubMed  Google Scholar 

  34. Held C, Iqbal R, Lear SA, et al. Physical activity levels, ownership of goods promoting sedentary behaviour and risk of myocardial infarction: results of the INTERHEART study. Eur Heart J. 2012;33:452–66.

    Article  PubMed  Google Scholar 

  35. Lovasi GS, Lemaitre RN, Siscovick DS, et al. Amount of leisure-time physical activity and risk of nonfatal myocardial infarction. Ann Epidemiol. 2007;17:410–6.

    Article  PubMed  Google Scholar 

  36. Wennberg P, Lindahl B, Hallmans G, et al. The effects of commuting activity and occupational and leisure time physical activity on risk of myocardial infarction. Eur J Cardiovasc Prev Rehabil. 2006;13:924–30.

    Article  PubMed  Google Scholar 

  37. Corrao G, Rubbiati L, Bagnardi V, et al. Alcohol and coronary heart disease: a meta-analysis. Addiction. 2000;95:1505–23.

    Article  CAS  PubMed  Google Scholar 

  38. Reynolds K, Lewis B, Nolen JD, et al. Alcohol consumption and risk of stroke: a meta-analysis. JAMA. 2003;289:579–88.

    Article  PubMed  Google Scholar 

  39. Rimm EB, Williams P, Fosher K, et al. Moderate alcohol intake and lower risk of coronary heart disease: meta-analysis of effects on lipids and haemostatic factors. BMJ. 1999;319:1523–8.

    Article  CAS  PubMed  Google Scholar 

  40. Hu FB, Rimm EB, Stampfer MJ, et al. Prospective study of major dietary patterns and risk of coronary heart disease in men. Am J Clin Nutr. 2000;72:912–21.

    CAS  PubMed  Google Scholar 

  41. Akesson A, Weismayer C, Newby PK, Wolk A. Combined effect of low-risk dietary and lifestyle behaviors in primary prevention of myocardial infarction in women. Arch Intern Med. 2007;167:2122–7.

    Article  PubMed  Google Scholar 

  42. Kabagambe EK, Baylin A, Campos H. Nonfatal acute myocardial infarction in Costa Rica: modifiable risk factors, population-attributable risks, and adherence to dietary guidelines. Circulation. 2007;115:1075–81.

    Article  PubMed  Google Scholar 

  43. Yusuf S, Hawken S, Ounpuu S, et al. Effect of potentially modifiable risk factors associated with myocardial infarction in 52 countries (the INTERHEART study): case-control study. Lancet. 2004;364:937–52.

    Article  PubMed  Google Scholar 

  44. Lampert T, von der Lippe E, Muters S. Prevalence of smoking in the adult population of Germany : Results of the German Health Interview and Examination Survey for Adults (DEGS1). Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz. 2013;56:802–8.

    Article  CAS  PubMed  Google Scholar 

  45. Mensink GB, Schienkiewitz A, Haftenberger M, et al. Overweight and obesity in Germany : results of the German Health Interview and Examination Survey for Adults (DEGS1). Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz. 2013;56:786–94.

    Article  CAS  PubMed  Google Scholar 

  46. Smolina K, Wright FL, Rayner M, Goldacre MJ. Incidence and 30-day case fatality for acute myocardial infarction in England in 2010: national-linked database study. Eur J Public Health. 2012;22:848–53.

    Article  PubMed  Google Scholar 

  47. Koek HL, Kardaun JW, Gevers E, et al. Acute myocardial infarction incidence and hospital mortality: routinely collected national data versus linkage of national registers. Eur J Epidemiol. 2007;22:755–62.

    Article  PubMed Central  PubMed  Google Scholar 

  48. www.gbebund.de/gbe10/ergebnisse.prc_tab?fid=6770&sprache=D&fund_typ=TAB&verwandte=1&p_lfd_nr=22&p_uid=gast&p_aid=4006618&hlp_nr=2&p_sprachkz=D&p_news=&p_window=N&p_janein=J.

  49. Ueshima H, Sekikawa A, Miura K, et al. Cardiovascular disease and risk factors in Asia: a selected review. Circulation. 2008;118:2702–9.

    Article  PubMed Central  PubMed  Google Scholar 

  50. Rumana N, Kita Y, Turin TC, et al. Trend of increase in the incidence of acute myocardial infarction in a Japanese population: takashima AMI Registry, 1990–2001. Am J Epidemiol. 2008;167:1358–64.

    Article  PubMed  Google Scholar 

  51. Kipnis V, Subar AF, Midthune D, et al. Structure of dietary measurement error: results of the OPEN biomarker study. Am J Epidemiol. 2003;158:14–21.

    Article  PubMed  Google Scholar 

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Acknowledgements

R.K. formulated the study hypothesis. A.H., K.L and S.M performed the statistical analyses. A.W prepared the dietary data. K.L and R.K drafted the manuscript. J.K and M.G verified the AMI case included in this study. M.G., A.H., J.K., S.M and A.W provided critical inputs on the manuscript. We would like to thank all members of the EPIC-Heidelberg cohort for their active participation to the study. We are also thankful to Dr. Marcus von Hornung and Christoph Neumann for their valuable work to database management.

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Funding

This study was funded by the German Federal Ministry of Education and Research (BMBF).

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Correspondence to Kuanrong Li.

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Li, K., Monni, S., Hüsing, A. et al. Primary preventive potential of major lifestyle risk factors for acute myocardial infarction in men: an analysis of the EPIC-Heidelberg cohort. Eur J Epidemiol 29, 27–34 (2014). https://doi.org/10.1007/s10654-013-9872-1

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