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9. Let’s assume that the risk of diabetes in obese individuals is 30 out of 100 people while the risk in non-obese is 15 out of 100 and the risk in the total population is 20 out of 100. Match the following statements with AR, AR% (also called ARP), PAR, or PAR% (6 points) Assuming causality, 5.0 out of 100 incident cases in the total population could be prevented. A- AR B- AR% C- PAR D- PAR% The excess risk of diabetes associated with exposure to obesity is, 15.0 per of 100 people, assuming causality A Assuming causality, 50% of diabetic cases among obese can be attributed to obesity B Assuming causality, if an effective prevention program eliminated obesity, the best that we could hope to achieve would be a reduction of 25.0% in the incidence of diabetes in the total population. D Assuming causality, if obesity had been controlled in this cohort of women, we could hope to prevent 0.15 of the 0.30 incident cases of diabetes among obese. A Assuming causality, 15 of the 30/100 incident cases with diabetes are attributable to obesity. B
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