Table 2 Illustration of the approximations on the INTERSTROKE dataset. For binary risk factors, \( {\hat{\beta}}^{ave}=\mathit{\log}\left(\hat{OR}\right) \), for multicategory risk factors \( {\hat{\beta}}^{ave} \) is a kind of weighted average log odds ratio summarizing the increase in risk of non-reference levels of the risk factor compared to the reference level. Confidence intervals for exact PAF are given at 99% level and calculated using Bootstrap
From: Graphical comparisons of relative disease burden across multiple risk factors
Risk factor | \( {\hat{\beta}}^{ave}\sim \mathit{\log}\left(\hat{OR}\right) \) | \( {e}^{{\hat{\beta}}^{ave}}\sim \hat{OR} \) | prevalence exposure in controls | Approximate PAF: [7] | Exact calculation PAF: [6] |
|---|---|---|---|---|---|
High blood pressure (Y/N) | 1.093 | 2.98 | 47.4% | 51.8% | 47.9% (45.1–50.6) |
Lack of physical activity | 0.501 | 1.65 | 83.7% | 41.9% | 35.5% (27.7–44.7) |
ApoA, ApoB ratio (in tertiles) | 0.428 | 1.53 | 66.9% | 28.6% | 26.9% (22.2–31.9) |
Diet score (in tertiles) | 0.378 | 1.46 | 67.0% | 25.3% | 23.0% (18.2–28.9) |
Waist hip ratio (in tertiles) | 0.294 | 1.34 | 67.0% | 19.7% | 18.8% (13.3–25.3) |
Smoking (Y/N) | 0.513 | 1.67 | 22.4% | 11.5% | 12.4% (10.2–14.9) |
Cardiac causes (Y/N) | 1.156 | 3.18 | 4.9% | 5.7% | 9.1% (8.0–10.2) |
Frequency of alcohol consumption (3 levels) | 0.186 | 1.20 | 27.7% | 5.2% | 5.9% (3.4–9.7) |
Global stress (Y/N) | 0.301 | 1.35 | 14.4% | 4.3% | 5.0% (2.6–7.3) |
Diabetes (Y/N) | 0.148 | 1.16 | 12.9% | 1.9% | 2.4% (0.1–4.9) |