Literature DB >> 2807706

WHO MONICA Project: assessing CHD mortality and morbidity.

J Tuomilehto1, K Kuulasmaa.   

Abstract

In the WHO MONICA Project mortality and morbidity from acute myocardial infarction is being monitored in 39 Collaborating Centres in 26 countries for a period of 10 years. The myocardial infarction registration procedures have been standardized and suspect coronary events are classified into diagnostic categories according to common criteria. This paper presents ischaemic heart disease mortality figures, based on routine statistics for the study populations and discusses cross-sectional comparability of morbidity data from event registration. Because of differences in availability of data used for diagnostic classification of events (such as autopsy data) the proportions of different diagnostic categories vary from centre to centre. There are, therefore, problems in cross-sectional comparison of morbidity data between the centres. The primary target of event registration in the project is to monitor morbidity changes within centres during the ten-year period. This goal should not be affected by the problems described in this paper.

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Year:  1989        PMID: 2807706

Source DB:  PubMed          Journal:  Int J Epidemiol        ISSN: 0300-5771            Impact factor:   7.196


  12 in total

1.  Association of the CCR2 chemokine receptor gene polymorphism with myocardial infarction.

Authors:  M I Voevoda; S N Ustinov; N S Yudin; M M Dolgikh; T N Kuznetsova; V N Maksimov; I V Kulikov; A A Gromov; A V Shabalin; E V Semaeva; V F Kobzev; S R Baum; V V Gafarov; S K Malyutina; A G Romaschenko; YuP Nikitin
Journal:  Dokl Biol Sci       Date:  2002 Jul-Aug

2.  Lipid profile, haemostatic variables and angiographically-defined coronary artery disease: a cross-sectional study in an Irish population.

Authors:  J Galvin; M Codd; S Leavy; D Sugrue
Journal:  Ir J Med Sci       Date:  1996 Apr-Jun       Impact factor: 1.568

3.  The validity of hospital discharge register data on coronary heart disease in Finland.

Authors:  M Mähönen; V Salomaa; M Brommels; A Molarius; H Miettinen; K Pyörälä; J Tuomilehto; M Arstila; E Kaarsalo; M Ketonen; K Kuulasmaa; S Lehto; H Mustaniemi; M Niemelä; P Palomäki; J Torppa; T Vuorenmaa
Journal:  Eur J Epidemiol       Date:  1997-06       Impact factor: 8.082

4.  Obesity in Europe: prevalence and consequences for use of medical care.

Authors:  J C Seidell; I Deerenberg
Journal:  Pharmacoeconomics       Date:  1994       Impact factor: 4.981

5.  Cardiovascular risk factors, ECG abnormalities and quality of life in subjects with atrial fibrillation.

Authors:  J Gehring; S Perz; J Stieber; R Küfner; U Keil
Journal:  Soz Praventivmed       Date:  1996

6.  Effect of Resting Heart Rate on All-Cause Mortality and Cardiovascular Events According to Age.

Authors:  Kuibao Li; Chonghua Yao; Xinchun Yang; Lei Dong
Journal:  J Am Geriatr Soc       Date:  2016-12-30       Impact factor: 5.562

7.  Combined effects of hypertension and heart rate on the risk of stroke and coronary heart disease: a population-based prospective cohort study among Inner Mongolians in China.

Authors:  Chongke Zhong; Xiaoyan Zhong; Tian Xu; Hao Peng; Hongmei Li; Mingzhi Zhang; Aili Wang; Tan Xu; Yingxian Sun; Yonghong Zhang
Journal:  Hypertens Res       Date:  2015-08-20       Impact factor: 3.872

8.  Neighborhood socioeconomic status and the prevalence of stroke and coronary heart disease in rural China: a population-based study.

Authors:  Xun Tang; Daniel T Laskowitz; Liu He; Truls Østbye; Janet Prvu Bettger; Yang Cao; Na Li; Jingrong Li; Zongxin Zhang; Jianjiang Liu; Liping Yu; Haitao Xu; Yonghua Hu; Larry B Goldstein
Journal:  Int J Stroke       Date:  2014-08-04       Impact factor: 5.266

9.  Cardiovascular risk factors in the former communist countries. Analysis of 40 European MONICA populations.

Authors:  E Ginter
Journal:  Eur J Epidemiol       Date:  1995-04       Impact factor: 8.082

10.  Prevalence of cardiovascular disease and risk factors in a rural district of Beijing, China: a population-based survey of 58,308 residents.

Authors:  Liu He; Xun Tang; Yan Song; Na Li; Jingrong Li; Zongxin Zhang; Jianjiang Liu; Liping Yu; Haitao Xu; Jianguo Zhang; Yonghua Hu
Journal:  BMC Public Health       Date:  2012-01-16       Impact factor: 3.295

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