Table 2.
Multiple regression analysis with insulin, triglyceride, and blood pressure as the dependent variables with waist circumference as the central fat index*
| β | P | R2 | |
|---|---|---|---|
| Insulin (log-transformed) | |||
| Intercept | 0.90 | 0.01 | 0.45 |
| Age | −0.04 | 0.07 | |
| Sex (boy = 1, girl = 0) | −0.21 | 0.01 | |
| Waist (cm) | 0.01 | 0.19 | |
| Weight (cm) | 0.03 | 0.01 | |
| Triglyceride (log-transformed) | |||
| Intercept | −0.96 | 0.47 | 0.13 |
| Age | 0.04 | 0.19 | |
| Sex (boy = 1, girl = 0) | 0.03 | 0.52 | |
| Waist (cm) (log-transformed) | 0.06 | 0.80 | |
| Weight (log-transformed) | 0.65 | 0.01 | |
| Height (cm) | −0.02 | 0.01 | |
| Systolic blood pressure | |||
| Intercept | 43.85 | 0.01 | 0.43 |
| Waist (cm) | 0.05 | 0.01 | |
| Height (cm) | 0.22 | 0.01 | |
| Diastolic blood pressure | |||
| Intercept | 27.51 | 0.01 | 0.36 |
| Waist (cm) | 0.02 | 0.01 | |
| Height (cm) | 0.17 | 0.01 |
*
The initial model included age, sex, waist, weight, height, and interactions between sex and waist, sex and weight, and sex and height. The independent variable with the largest p value was removed in a stepwise backward elimination procedure until all variables remaining in the model were statistically significant (p < 0.05) or until the central fat index was the next variable to be removed.