In occupational epidemiology, the need to consider the age factor properly influences the choice of study design and analytical techniques.
In most studies, age is viewed as a potential confounder.
Age is strongly associated with end points of interest in occupational epidemiology (diseases, physiological characteristics, doses of xenobiotics, etc), but to measure age as a confounder it must be associated with the exposure under study.
When the exposure of interest is time related-for example, duration of employment, time since first exposure, cumulative exposure-a strong intrinsic association with age can be anticipated, and age will behave as a (usually strong) confounder.
When occupational exposures without a direct relation with age-for example, job, department, type of exposure-are evaluated, the degree and direction of confounding bias cannot be anticipated.
Control of the confounding effect of age can be accomplished in the design phase of a study by way of randomisation, restriction, and matching.
Randomisation is seldom viable in occupational settings.
Restriction is rarely used in the case of age.
Matching is often used in a case-control study as a method to increase the study efficiency, but it must be followed by proper matched or stratified analysis.
Options for age adjustment in the analysis phase involve stratification and regression methods. (...)
Mots-clés Pascal : Médecine travail, Epidémiologie, Méthode étude, Homme, Age, Biais méthodologique
Mots-clés Pascal anglais : Occupational medicine, Epidemiology, Investigation method, Human, Age, Methodological bias
Notice produite par :
Inist-CNRS - Institut de l'Information Scientifique et Technique
Cote : 98-0007254
Code Inist : 002B30B04. Création : 17/04/1998.