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Attributable Risk Calculator

This calculator measures the excess risk in a population that is associated with a particular exposure compared to a population without that exposure. It’s particularly useful for determining the importance of various risk factors in disease causation and for planning preventive healthcare measures.

Formula of Attributable Risk Calculator

Attributable Risk (AR) Calculation: Attributable Risk (AR) = Incidence in Exposed Group (Ie) – Incidence in Unexposed Group (Iu)

Where:

• Incidence in Exposed Group (Ie): The rate at which new cases of the disease occur in the exposed group.
• Incidence in Unexposed Group (Iu): The rate at which new cases occur in the group not exposed to the risk factor.

Table for General Usage

Below is a table that provides examples of attributable risk calculations for various conditions and exposures, helping users understand how to apply this tool in real-world scenarios:

This table aids in visualizing how different exposures influence the incidence of various diseases, guiding public health interventions.

Example of Attributable Risk Calculator

Consider a scenario where the incidence of a heart condition is 10 per 100,000 people per year in the population exposed to a high-sodium diet and 3 per 100,000 per year in the unexposed group:

Attributable Risk = 10 – 3 = 7 per 100,000 per year

This calculation indicates that 7 additional cases per 100,000 people per year could potentially be prevented if the exposure to the high-sodium diet were eliminated.

Most Common FAQs

Q1: What is the significance of calculating attributable risk?

A1: Attributable risk quantifies the actual impact of an exposure on the disease burden in a population. Helping health professionals prioritize preventive strategies and public health interventions.

Q3: How does attributable risk differ from relative risk?

A3: Relative risk compares the risk between two groups, while attributable risk measures the excess risk due to an exposure. Focusing on the direct impact on the exposed population.