Population attributable risk
Population Attributable Risk | |
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Synonyms | Attributable Risk Percent in the Population |
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Complications | N/A |
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Duration | N/A |
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Diagnosis | N/A |
Differential diagnosis | N/A |
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Prognosis | N/A |
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Population Attributable Risk (PAR) is a measure used in epidemiology to quantify the proportion of disease incidence in a population that can be attributed to a specific risk factor. It provides insight into the public health impact of eliminating a risk factor from the population.
Definition[edit | edit source]
Population Attributable Risk is defined as the difference in the rate of a disease between the exposed population and the total population. It is expressed as a percentage and indicates the proportion of the disease that could be prevented if the risk factor were eliminated.
Formula[edit | edit source]
The formula for calculating PAR is:
- PAR = (P_e * (RR - 1)) / (1 + P_e * (RR - 1))
Where:
- P_e is the proportion of the population that is exposed to the risk factor.
- RR is the relative risk of the disease associated with the risk factor.
Interpretation[edit | edit source]
PAR provides a measure of the public health impact of a risk factor. A higher PAR indicates a greater potential for reducing disease incidence by eliminating the risk factor. It is important to note that PAR assumes a causal relationship between the risk factor and the disease.
Applications[edit | edit source]
PAR is used in public health to prioritize interventions and allocate resources. It helps identify which risk factors have the greatest impact on disease burden and where preventive measures could be most effective.
Limitations[edit | edit source]
While PAR is a useful measure, it has limitations:
- It assumes a causal relationship between the risk factor and the disease.
- It does not account for confounding factors that may influence the association.
- It is dependent on the accuracy of the relative risk and the proportion of the population exposed.
Examples[edit | edit source]
Consider a population where 30% of individuals smoke, and the relative risk of developing lung cancer for smokers is 10. The PAR for smoking in relation to lung cancer can be calculated as follows:
- PAR = (0.3 * (10 - 1)) / (1 + 0.3 * (10 - 1)) = 0.73 or 73%
This means that 73% of lung cancer cases in the population can be attributed to smoking.
See Also[edit | edit source]
External Links[edit | edit source]
- [Link to relevant public health resources]
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