Literature DB >> 17301629

Potentially modifiable classic risk factors and their impact on incident myocardial infarction: results from the EPIC-Potsdam study.

Christin Heidemann1, Kurt Hoffmann, Kerstin Klipstein-Grobusch, Cornelia Weikert, Tobias Pischon, Hans-Werner Hense, Heiner Boeing.   

Abstract

BACKGROUND: Prospective data on the importance of established risk factors for myocardial infarction in Germany are sparse.
DESIGN: The population-based cohort study European Prospective Investigation into Cancer and Nutrition (EPIC)-Potsdam with 159 incident cases of myocardial infarction (120 men, 39 women) occurring among 26 954 participants (10 463 men, 16 491 women) during an average follow-up time of 4.6 years.
METHODS: We examined the classic, potentially modifiable risk factors smoking, hypertension, hyperlipidemia, diabetes mellitus, abdominal obesity, and sporting inactivity, both individually and in combination, by estimating their prevalence and their relative and population-attributable risks of incident myocardial infarction.
RESULTS: After adjusting for age, sex, educational attainment, alcohol intake, and the respective other classic risk factors the relative risks of myocardial infarction were 3.18 for smoking [95% confidence interval (CI) 2.31, 4.38], 1.84 for hypertension (95% CI 1.27, 2.65), 1.81 for sporting inactivity (95% CI 1.04, 3.15), 1.64 for diabetes (95% CI 1.05, 2.56), 1.62 for abdominal obesity (95% CI 1.03, 2.56), and 1.15 for hyperlipidemia (95% CI 0.84, 1.59). Participants with four or all five significant risk factors had an approximately 11.5-fold higher risk of the coronary event than participants with none or one risk factor. Altogether, 84.3% of myocardial infarctions in the study population were attributable to the presence of the five risk factors smoking, hypertension, diabetes, sporting inactivity, and abdominal obesity.
CONCLUSION: The majority of myocardial infarctions in the EPIC-Potsdam cohort were explainable by potentially modifiable classic risk factors. Therefore, besides efforts to investigate novel coronary risk factors, the prevention of coronary disease should focus on strategies to reduce the prevalence of established risk factors.

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Year:  2007        PMID: 17301629     DOI: 10.1097/01.hjr.0000238392.19847.4c

Source DB:  PubMed          Journal:  Eur J Cardiovasc Prev Rehabil        ISSN: 1741-8267


  7 in total

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Authors:  Arduino A Mangoni; Richard J Woodman; Paraskevi Gaganis; Andrew L Gilbert; Kathleen M Knights
Journal:  Br J Clin Pharmacol       Date:  2010-06       Impact factor: 4.335

2.  Physical activity and sedentary behaviors in postpartum Latinas: Madres para la Salud.

Authors:  Barbara E Ainsworth; Colleen Keller; Stephen Herrmann; Michael Belyea; Kathryn Records; Allison Nagle-Williams; Sonia Vega-López; Paska Permana; Dean V Coonrod
Journal:  Med Sci Sports Exerc       Date:  2013-07       Impact factor: 5.411

3.  Impact of risk factors for non-fatal acute myocardial infarction.

Authors:  Andreia Oliveira; Henrique Barros; Ana Azevedo; Joana Bastos; Carla Lopes
Journal:  Eur J Epidemiol       Date:  2009-06-04       Impact factor: 8.082

4.  Combined impact of healthy lifestyle factors on colorectal cancer: a large European cohort study.

Authors:  Krasimira Aleksandrova; Tobias Pischon; Mazda Jenab; H Bas Bueno-de-Mesquita; Veronika Fedirko; Teresa Norat; Dora Romaguera; Sven Knüppel; Marie-Christine Boutron-Ruault; Laure Dossus; Laureen Dartois; Rudolf Kaaks; Kuanrong Li; Anne Tjønneland; Kim Overvad; José Ramón Quirós; Genevieve Buckland; María José Sánchez; Miren Dorronsoro; Maria-Dolores Chirlaque; Aurelio Barricarte; Kay-Tee Khaw; Nicholas J Wareham; Kathryn E Bradbury; Antonia Trichopoulou; Pagona Lagiou; Dimitrios Trichopoulos; Domenico Palli; Vittorio Krogh; Rosario Tumino; Alessio Naccarati; Salvatore Panico; Peter D Siersema; Petra H M Peeters; Ingrid Ljuslinder; Ingegerd Johansson; Ulrika Ericson; Bodil Ohlsson; Elisabete Weiderpass; Guri Skeie; Kristin Benjaminsen Borch; Sabina Rinaldi; Isabelle Romieu; Joyce Kong; Marc J Gunter; Heather A Ward; Elio Riboli; Heiner Boeing
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Review 5.  Impact of menopause and diabetes on atherogenic lipid profile: is it worth to analyse lipoprotein subfractions to assess cardiovascular risk in women?

Authors:  Marília Izar Helfenstein Fonseca; Isis Tande da Silva; Sandra Roberta G Ferreira
Journal:  Diabetol Metab Syndr       Date:  2017-04-07       Impact factor: 3.320

6.  Association Between Electronic Cigarette Use and Myocardial Infarction.

Authors:  Talal Alzahrani; Ivan Pena; Nardos Temesgen; Stanton A Glantz
Journal:  Am J Prev Med       Date:  2018-08-22       Impact factor: 5.043

7.  Signs of subclinical coronary atherosclerosis in relation to risk factor distribution in the Multi-Ethnic Study of Atherosclerosis (MESA) and the Heinz Nixdorf Recall Study (HNR).

Authors:  Raimund Erbel; Joseph A C Delaney; Nils Lehmann; Robyn L McClelland; Stefan Möhlenkamp; Richard A Kronmal; Axel Schmermund; Susanne Moebus; Nico Dragano; Andreas Stang; Karl-Heinz Jöckel; Matthew J Budoff
Journal:  Eur Heart J       Date:  2008-10-09       Impact factor: 29.983

  7 in total

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