Literature DB >> 2918328

Risk factors in middle age that predict early and late onset of coronary heart disease.

R J Benfante1, D M Reed, C J MacLean, K Yano.   

Abstract

Twelve biological and lifestyle characteristics measured in a group of 5919 middle aged men free of clinical coronary heart disease (CHD), stroke and cancer were analyzed for differences in predicting early and late onset of new cases of definite CHD (non-fatal myocardial infarction and fatal CHD) over a 12-year follow-up period. Among these men, 151 cases of definite CHD occurred early (under age 60) and 135 cases occurred later in life (age 60 and over). Serum triglyceride was the only risk factor that was an independent predictor of early onset disease and not of late onset disease. While cigarette smoking was a predictor for both onset groups, the effect of smoking was greater in people who developed CHD earlier in life. Systolic blood pressure, alcohol intake, serum cholesterol and serum glucose were independent predictors for both onset groups, with no difference in effect between groups. The findings indicate that it is possible for some factors to affect CHD risk differently in terms of premature vs delayed onset of disease. The findings for serum triglyceride may account for some of the inconsistencies in reports regarding it as an independent risk factor for CHD. In general, however, most of the characteristics studied here had a similar effect on both early and late onset and thus remain important in the prevention of both premature and late onset of CHD.

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Year:  1989        PMID: 2918328     DOI: 10.1016/0895-4356(89)90082-6

Source DB:  PubMed          Journal:  J Clin Epidemiol        ISSN: 0895-4356            Impact factor:   6.437


  9 in total

1.  Short and long term association of a single serum cholesterol measurement in middle-aged men in prediction of fatal coronary and other cardiovascular events: a cross-cultural comparison through Europe.

Authors:  Alessandro Menotti; Mariapaola Lanti; Daan Kromhout; Anthony Kafatos; Srecko Nedeljkovic; Aulikki Nissinen
Journal:  Eur J Epidemiol       Date:  2005       Impact factor: 8.082

2.  Coronary risk factors predicting early and late coronary deaths.

Authors:  A Menotti; M Lanti
Journal:  Heart       Date:  2003-01       Impact factor: 5.994

3.  Risk factor analysis among Egyptian patients who underwent coronary artery bypass surgery.

Authors:  H M Waly; M A Elayda; V V Lee; G el-Said; G J Reul; R J Hall
Journal:  Tex Heart Inst J       Date:  1997

4.  Smoking and mortality among residents of a California retirement community.

Authors:  A Paganini-Hill; G Hsu
Journal:  Am J Public Health       Date:  1994-06       Impact factor: 9.308

5.  Serum cholesterol and acute myocardial infarction: a case-control study from the GISSI-2 trial. Gruppo Italiano per lo Studio della Sopravvivenza nell'Infarto-Epidemiologia dei Fattori di Rischio dell'Infarto Miocardico Investigators.

Authors:  A Nobili; B D'Avanzo; L Santoro; G Ventura; P Todesco; C La Vecchia
Journal:  Br Heart J       Date:  1994-05

6.  The importance of triglycerides: results from the Prospective Cardiovascular Münster (PROCAM) Study.

Authors:  G Assmann; H Schulte
Journal:  Eur J Epidemiol       Date:  1992-05       Impact factor: 8.082

7.  The atherogenic and metabolic impact of non-HDL cholesterol versus other lipid sub-components among non-diabetic and diabetic Saudis.

Authors:  Nasser M Al-Daghri; Omar S Al-Attas; Khalid Al-Rubeaan
Journal:  Lipids Health Dis       Date:  2007-04-04       Impact factor: 3.876

8.  Association of hypertension with coronary artery disease onset in the Lebanese population.

Authors:  Aline Milane; Jad Abdallah; Roy Kanbar; Georges Khazen; Michella Ghassibe-Sabbagh; Angelique K Salloum; Sonia Youhanna; Aline Saad; Hamid El Bayeh; Elie Chammas; Daniel E Platt; Jörg Hager; Dominique Gauguier; Pierre Zalloua; Antoine Abchee
Journal:  Springerplus       Date:  2014-09-16

9.  Increased predictive ability of BMI but not other risk factors with time in men: 39-year follow-up of total mortality in the Oslo Study.

Authors:  Ingar Holme; Serena Tonstad
Journal:  Obes Facts       Date:  2014-10-09       Impact factor: 3.942

  9 in total

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