Other Free Encyclopedias » Medicine Encyclopedia » Aging Healthy - Part 2 » Epidemiology - Analytic Epidemiology, Relative And Attributable Risk

Epidemiology - Relative And Attributable Risk

age social disease exposure association incidence

Measures of disease association include relative and attributable risk. Relative risk estimates the magnitude of an association between exposure and disease, based on the incidence of disease in the exposed group relative to the unexposed group. A relative risk of 1.0 indicates that there is no association between the exposure and outcome; a relative risk of greater than 1.0 indicates a positive association or increased risk; and a relative risk of less than 1.0 indicates an inverse association, or decreased risk (a protective effect). Incidence usually cannot be calculated in a case-control study, because participants are selected on the basis of disease. In this instance, the odds ratio (the ratio of odds of exposure among the cases to that of the controls) approximates the relative risk. Attributable risk, or risk difference, is the absolute difference in incidence between an exposed and unexposed group. It quantifies the risk of disease in the exposed group attributable to the exposure by removing the risk that would have occurred due to other causes. Expressed differently, attributable risk calculates the number of cases of disease among the exposed that could be eliminated if the exposure were eliminated. This is a useful measure of the public health impact of an exposure, assuming there is a cause-effect relationship. It is not possible to calculate attributable risk for most case-control studies, because incidence cannot be determined.

SUSAN A. KIRKLAND

BIBLIOGRAPHY

EBRAHIM, S., and KALACHE, A., eds. Epidemiology in Old Age. London: BMJ Publishing Group, 1996.

HENNEKENS, C. H., and BURING, J. E. Epidemiology of Medicine. Edited by Sherry L. Mayrent. Boston: Little, Brown, 1987.

ROTHMAN, K. J., and GREENLAND, S. Modern Epidemiology, 2d ed. Philadelphia, Pa.: Lippincott-Raven, 1998.

[back] Epidemiology - Analytic Epidemiology

User Comments

The following comments are not guaranteed to be that of a trained medical professional. Please consult your physician for advice.

Your email address will be altered so spam harvesting bots can't read it easily.
Hide my email completely instead?

Cancel or