Table 2.
Linear regression models describing the associations between HRV indices versus ABSI and WC in normal BMI and low BMI study groups.
| Linear regression | Log LF | Log HF | Log TP | |||||
|---|---|---|---|---|---|---|---|---|
| β (Seβ) | β (Seβ) | β (Seβ) | ||||||
| Low BMI | Normal BMI | Low BMI | Normal BMI | Low BMI | Normal BMI | |||
| ABSI | Model 1 | ABSI | −43.15 (8.5)∗ | −46.47 (7.1)∗ | −47.51 (7.7)∗ | −63.93 (8.6)∗ | −37.33 (7.3)∗ | −48.61 (6.9)∗ |
| Model 2 | ABSI | −13.73 (10.1) | −21.73 (8.9)∗ | −24.20 (9.4)∗ | −23.41 (10.1)∗ | −15.60 ( 8.9) | −20.33 (8.4)∗ | |
| AGE | −0.01 (0.0)∗ | −0.01 (0.0)∗ | −0.01 (0.0)∗ | 0.02 (0.0)∗ | −0.01 (0.0)∗ | −0.01 (0.0)∗ | ||
|
| ||||||||
| WC | Model 1 | WC | −0.36 (0.0)∗ | −0.02 (0.0)∗ | −0.04 (0.0)∗ | −0.03 (0.0)∗ | −0.03 (0.0)∗ | −0.02 (0.0)∗ |
| Model 2 | WC | −0.01 (0.0) | −0.01 (0.0) | −0.02 (0.0) | −0.01 (0.0) | −0.01 (0.0) | −0.01 (0.0) | |
| AGE | −0.01 (0.0)∗ | −0.01 (0.0)∗ | −0.01 (0.0)∗ | −0.02 (0.0)∗ | −0.01 (0.0)∗ | −0.01 (0.0)∗ | ||
Model 1 represents either ABSI or WC. Model 2 represents either ABSI or WC after controlling for age; values represent regression coefficient β (standard error of β) *P < 0.05.