Asked by Fanni Hudák on Aug 01, 2024
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Which of the following statements is the most accurate description of the attributable risk (deaths per 100,000) of coronary heart disease for smokers in this study? Use the following information: Lung Cancer and Coronary Health Disease Mortality by Smoking Status
Age-adjusted death rates per 100,000 Smokers Nonsmokers Lung cancer 15070 Coronary heart disease 700300\begin{array}{r}\text { Age-adjusted death rates per } 100,000\quad\quad\\\begin{array} { | l | l | l | } \hline & \text { Smokers } \quad\quad\quad\quad\quad& \text { Nonsmokers } \quad\quad\quad\\\hline \text { Lung cancer } & 150 & 70 \\\hline \text { Coronary heart disease } & 700 & 300 \\\hline\end{array}\end{array} Age-adjusted death rates per 100,000 Lung cancer Coronary heart disease Smokers 150700 Nonsmokers 70300 [Modified from Doll R,Peto R.Mortality in relation to smoking: 20 years' observations on male British doctors.Br Med J.1976;2(6051) :1525-1536.]
A) The attributable risk of coronary heart disease deaths is 700 deaths per 100,000.
B) The attributable risk of coronary heart disease deaths is 400 deaths per 100,000.
C) Attributable risk cannot be used as an indicator of the disease burden reduction that could be achieved if the risk factor eliminated.
D) The risk of coronary heart disease deaths among smokers is 70 per 100,000.
E) The risk of coronary heart disease deaths among nonsmokers is 30 per 100,000.
Attributable Risk
The proportion of disease or health outcome in the exposed population that can be attributed to the exposure.
Coronary Heart Disease
A condition characterized by reduced blood flow to the heart muscle due to the build-up of plaque in the coronary arteries, leading to heart attacks and chest pain.
Smokers
Individuals who habitually smoke tobacco, typically in the form of cigarettes, cigars, or pipes.
- Understand and calculate the attributable risk to estimate the excess risk of disease associated with an exposure.
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Learning Objectives
- Understand and calculate the attributable risk to estimate the excess risk of disease associated with an exposure.
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