Document Detail

Coronary heart disease rates within a small urban area in Belgium.
MedLine Citation:
PMID:  7964331     Owner:  NLM     Status:  MEDLINE    
STUDY OBJECTIVE: To identify geographical differences in coronary heart disease (CHD) attack rates in a small urban area and to relate these to indicators of socioeconomic class. DESIGN: CHD attack rates were calculated from data of the Ghent MONICA myocardial infarct register for the period 1983-87. The city of Ghent is subdivided into 201 sectors based on morphological, and socioeconomic characteristics. During the national census of 1981, the main determinants of residential differentiation were measured. These sector variables were linked with the CHD attack rates. PATIENTS: All residents of the city aged 25-69 years are prospectively followed with regard to heart attacks. Between 1982 and 1987, 1728 suffered an acute heart attack according to MONICA criteria. MAIN RESULTS: Significant (p < 0.05) differences in age and sex standarised attack rates were observed between city sectors. These differences were related to an index of socioeconomic status. CONCLUSION: Within a small urban area, significant geographical differences occur in CHD attack rates and these are related to socioeconomic status.
G de Backer; G Thys; I de Craene; Y Verhasselt; S de Henauw
Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Journal of epidemiology and community health     Volume:  48     ISSN:  0143-005X     ISO Abbreviation:  J Epidemiol Community Health     Publication Date:  1994 Aug 
Date Detail:
Created Date:  1994-12-21     Completed Date:  1994-12-21     Revised Date:  2010-03-24    
Medline Journal Info:
Nlm Unique ID:  7909766     Medline TA:  J Epidemiol Community Health     Country:  ENGLAND    
Other Details:
Languages:  eng     Pagination:  344-7     Citation Subset:  IM    
Department of Public Health, University Hospital, Ghent, Belgium.
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MeSH Terms
Age Factors
Belgium / epidemiology
Family Characteristics
Middle Aged
Myocardial Infarction / epidemiology*
Prospective Studies
Residence Characteristics
Sex Factors
Social Class
Urban Health*

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