Literature DB >> 2765258

Seven Countries Study. First 20-year mortality data in 12 cohorts of six countries.

A Menotti1, A Keys, C Aravanis, H Blackburn, A Dontas, F Fidanza, M J Karvonen, D Kromhout, S Nedeljkovic, A Nissinen.   

Abstract

Out of the original 16 cohorts in the Seven Countries Study on Cardiovascular Diseases, 12 population samples in six countries have reached the 20 year follow-up deadline. Data on mortality became fully available for a total of 8287 men aged 40-59 at entry examination (two cohorts in Finland, one in the Netherlands, three in Italy, two in Yugoslavia, two in Greece, and two in Japan). Death rates from CHD as well as from all causes follow the traditional falling north to south trend (18 fold between the extremes for CHD; 2.7 fold for total mortality). The differences in all causes mortality are, however, largely accounted for by the variation in CHD mortality. The mean entry levels of serum cholesterol and representative levels of the consumption of saturated fats, mono-unsaturated fats, poly-unsaturated fats and carbohydrates explain a large proportion of inter-cohort difference in CHD mortality (81% for saturated fats). By applying the proportional hazards model to the pools of national cohorts, with CHD deaths as end-point and five risk factors as covariates, only age and mean blood pressure are universally significant predictors of fatal events. Cholesterol, smoking habits, body mass index and physical activity play some part but not in all the pools. Age and mean blood pressure are also the only universal risk factors for all causes of death.

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Year:  1989        PMID: 2765258     DOI: 10.3109/07853898909149929

Source DB:  PubMed          Journal:  Ann Med        ISSN: 0785-3890            Impact factor:   4.709


  18 in total

1.  All cause mortality and its determinants in middle aged men in Finland, The Netherlands, and Italy in a 25 year follow up.

Authors:  A Menotti; A Keys; D Kromhout; A Nissinen; H Blackburn; F Fidanza; S Giampaoli; M Karvonen; J Pekkanen; S Punsar
Journal:  J Epidemiol Community Health       Date:  1991-06       Impact factor: 3.710

2.  The inverse relation of average population blood pressure and stroke mortality rates in the seven countries study: a paradox.

Authors:  A Menotti; H Blackburn; D Kromhout; A Nissinen; M Karvonen; C Aravanis; A Dontas; F Fidanza; S Giampaoli
Journal:  Eur J Epidemiol       Date:  1997-06       Impact factor: 8.082

3.  [Lipid-lowering therapy in the elderly : Who profits from which target values?]

Authors:  E Windler; F-U Beil; G Klose; J Thiery
Journal:  Herz       Date:  2018-05       Impact factor: 1.443

4.  Diet and overall survival in elderly people.

Authors:  A Trichopoulou; A Kouris-Blazos; M L Wahlqvist; C Gnardellis; P Lagiou; E Polychronopoulos; T Vassilakou; L Lipworth; D Trichopoulos
Journal:  BMJ       Date:  1995-12-02

5.  Inter-cohort differences in coronary heart disease mortality in the 25-year follow-up of the seven countries study.

Authors:  A Menotti; A Keys; D Kromhout; H Blackburn; C Aravanis; B Bloemberg; R Buzina; A Dontas; F Fidanza; S Giampaoli
Journal:  Eur J Epidemiol       Date:  1993-09       Impact factor: 8.082

6.  Apolipoprotein E gene polymorphisms and serum cholesterol in healthy Irish adults: a proposed genetic marker for coronary artery disease risk.

Authors:  D Sheehan; T Bennett; K Cashman
Journal:  Ir J Med Sci       Date:  2000 Jan-Mar       Impact factor: 1.568

Review 7.  Endothelial function as a functional expression of cardiovascular risk factors.

Authors:  Martin K Reriani; Lilach O Lerman; Amir Lerman
Journal:  Biomark Med       Date:  2010-06       Impact factor: 2.851

8.  Presentation of the rifle project risk factors and life expectancy. The RIFLE Research Group.

Authors: 
Journal:  Eur J Epidemiol       Date:  1993-09       Impact factor: 8.082

9.  Cardiorespiratory risk factors as predictors of 40-year mortality in women and men.

Authors:  J E Ferrie; A Singh-Manoux; M Kivimäki; J Mindell; E Breeze; G Davey Smith; M J Shipley
Journal:  Heart       Date:  2009-04-22       Impact factor: 5.994

10.  Coronary endothelial function testing provides superior discrimination compared with standard clinical risk scoring in prediction of cardiovascular events.

Authors:  Martin Reriani; Jaskanwal D Sara; Andreas J Flammer; Rajiv Gulati; Jing Li; Charanjit Rihal; Ryan Lennon; Lilach O Lerman; Amir Lerman
Journal:  Coron Artery Dis       Date:  2016-05       Impact factor: 1.439

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