[A registry of ischaemic cardiopathies among active workers at Electricité de France-Gaz de France. Program development and first results]

Rev Epidemiol Sante Publique. 2001 Feb;49(1):51-60.
[Article in French]


Background: The social security department of the French national electric and gas company has established an ischemic heart disease register among a population of about 140 000 employees based on sick leaves as well as deaths recorded with their medical cause.

Methods: History of the illness, medical tests and treatments were known retrospectively from the consulting physicians of the company. Acute coronary events recorded were: inaugural angina pectoris, myocardial infarction, sudden coronary death and fortuitous discovery of coronary disease.

Results: A first study conducted on employees during the 1993-1995 period showed infarction incidence age rates similar to those estimated from the French MONICA registers for France as a whole. Regional discrepancies were observed for myocardial infarction rates: Nord-Pas de Calais, Champagne-Ardennes, Lorraine, Franche-Comté and Limousin were at the most elevated risk (SIR=131, 155, 169, 125 and 178 resp). Large variations according to socio-economic status were observed.

Conclusion: This register will permit studies on the links between socio-economic status at different professional career points and the occurrence of ischemic heart disease and the evaluation of the impact of psychosocial factors such as previous depressive disorders.

Publication types

  • English Abstract

MeSH terms

  • Absenteeism
  • Adult
  • Educational Status
  • Electricity*
  • Female
  • France / epidemiology
  • Humans
  • Male
  • Middle Aged
  • Myocardial Infarction / diagnosis
  • Myocardial Infarction / epidemiology*
  • Myocardial Infarction / mortality
  • Myocardial Infarction / psychology
  • Occupational Health
  • Occupations* / statistics & numerical data*
  • Population Surveillance / methods*
  • Program Development
  • Registries*
  • Residence Characteristics / statistics & numerical data
  • Retrospective Studies
  • Risk Factors
  • Social Security
  • Socioeconomic Factors