IJE Advance Access originally published online on November 12, 2006
International Journal of Epidemiology 2007 36(1):32-39; doi:10.1093/ije/dyl247
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Published by Oxford University Press on behalf of the International Epidemiological Association © The Author 2006; all rights reserved.
Cohort profile: the GAZEL Cohort Study
1 Inserm Unité 687, France.
2 IFR 69, France.
3 Inserm U687, équipe RPPC-C du Cetaf, France.
* Corresponding author. Inserm Unité 687 14 rue du Val d'Osne 94410 Saint Maurice, France, Tel: 33 1 45 18 38 59; Fax: 33 1 45 18 38 89; E-mail: marcel.goldberg@st-maurice.inserm.fr
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How did the study come out? |
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Électricité de France-Gaz de France (EDF-GDF) is the only utility firm in France involved in production, transmission and distribution of energy. For several reasons, EDF-GDF is a unique setting for epidemiology. The company employs about 150 000 workers in all regions of France, from large cities to small villages; there is a wide socioeconomic range of occupational positions, including white and blue-collars workers. The workforce is very stable: due to their civil servant-like status, employees almost never leave the company and are not lost to follow-up even after retirement, since retirement benefits are paid by the company itself. An extensive human resources system allows for a complete follow-up of the workers, even when they retire. EDF-GDF has its own Occupational Health and Social Security system; about 300 physicians work for the company and are responsible for the health surveillance of the workers.
During the seventies the medical department of EDF-GDF
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What does it cover and how has this changed? |
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Who is in the sample? |
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How often have they been followed-up? |
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What has been measured? |
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Socio-demographic, lifestyle and psychosocial data
Major occupational exposures
Outcomes
Mortality
Morbidity
Overview of measures
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What is attrition like? |
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What has it found? Key findings and key publications |
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Work and health
Sickness absence
The social gradient of health: GAZEL and crossnational comparative studies
Traffic accidents
Determinants of alcohol consumption
Women's health
What are the strengths and weaknesses?
Can I get hold of the data? Where can I find out more?
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