Table 5.
Illustration of using the algorithms to estimate CRF from routinely collected clinical data
| Men, %fat, five-level | Women, BMI, two-level | ||||||
|---|---|---|---|---|---|---|---|
| Variable | Value | Regular weight | Result | Variable | Value | Regular weight | Result |
| Constant | 17.7357 | Constant | 14.7873 | ||||
| Age | 50.0 | 0.1620 | 8.1 | Age | 40 | 0.1159 | 4.636 |
| Age2 | 2500.0 | −0.0021 | −5.25 | Age2 | 1600 | 0.0017 | −2.72 |
| %fat | 20.0 | −0.1057 | −2.114 | BMI | 24 | 0.1534 | −3.6816 |
| Waist circumference | 92.0 | −0.0422 | −3.8824 | Waist circumference | 70 | 0.0088 | −0.616 |
| Resting HR | 60.0 | −0.0363 | −2.178 | Resting HR | 62 | 0.0364 | −2.2568 |
| PAI-1 | 0 | 0.2153 | 0 | Active Yes | 1 | 0.5987 | 0.5987 |
| PAI-2 | 0 | 0.3655 | 0 | Smoker Yes | 0 | −0.2994 | 0 |
| PAI-3 | 1 | 0.8092 | 0.8092 | Estimated CRF (METs) | 10.7476 | ||
| PAI-4 | 0 | 1.1989 | 0 | ||||
| Smoker yes | 1 | 0.4378 | −0.4378 | ||||
| Estimated CRF (METs) | 2729.7851 | ||||||
Note: Provided is the %fat, five physical activity algorithm for men and the BMI, and two-level algorithm for women. The values for the clinical data were arbitrarily selected. To estimate CRF with a given algorithm, first multiply the patient’s clinical value by the model’s regression weight, and second, sum the obtained results with the algorithm’s constant.
CRF, cardiorespiratory fitness; HR, heart rate; PAI, physical activity index; %fat, percentage fat