Table 2.
| Table 2a Summary of the Analytical Process to Evaluate Steps/d Cut Points in Men Age 18 to 50.9 y (n = 226) | ||||||
|---|---|---|---|---|---|---|
| Utility analysis | ||||||
| Steps/d | Probability of correct decisions |
Misclassification error: type I, type II (false overweight/ obese, false normal weight) |
Validity coefficient (phi) |
Expected utility |
Expected disutility |
Expected maximum utility |
| 9000 | .6 | .26, .24 | −.05 | .5 | −.74 | −.0005 |
| 10,000 | .47 | .32, .18 | .01 | .5 | −.68 | −.0004 |
| 11,000 | .37 | .35, .15 | .04 | .5 | −.65 | −.0003 |
| 12,000a | .27 | .39, .11 | .05 | .5 | −.61 | −.0002 |
| 13,000 | .21 | .42, .08 | .055 | .5 | −.58 | −.0002 |
| Table 2b Summary of the Analytical Process to Evaluate Steps/d Cut Points in Men Age 51 to 88 y (n = 220) | ||||||
|---|---|---|---|---|---|---|
| Utility analysis | ||||||
| Steps/d | Probability of correct decisions |
Misclassification error: type I, type II (false overweight/ obese, false normal weight) |
Validity coefficient (phi) |
Expected utility | Expected disutility |
Expected maximum utility |
| 8000 | .44 | .36, .14 | .04 | .5 | −.64 | −.0006 |
| 9000 | .31 | .41, .09 | .12 | .5 | −.59 | −.0004 |
| 10,000 | .21 | .45, .09 | .16 | .5 | −.55 | −.0002 |
| 11,000a | .15 | .48, .02 | .21 | .5 | −.52 | −.0001 |
| 12,000 | .11 | .48, .02 | .19 | .5 | −.52 | −.00008 |
| 13,000 | .09 | .48, .009 | .2 | .5 | −.5 | −.00004 |
| 14,000 | .06 | .5, .005 | .19 | .5 | −.5 | −.00002 |
a
Boldface font indicates best cut point.