Table 4.
Linear regression modelling the outcome of weight loss (kg) based on sequentially adding clinic, length of follow-up, and a number of weight-prioritized visits (WPVs) as predictors (N = 581).
| Coefficient | Model 1 | Model 2 | Model 3 | |||
|---|---|---|---|---|---|---|
| Estimate (95% CI) | P-value | Estimate (95% CI) | P-value | Estimate (95% CI) | P-value | |
| Intercept | 1.20 (0.66, 1.75) | 0.001 | 0.39 (−0.51, 1.28) | 0.395 | −0.35 (−1.30, 0.59) | 0.464 |
| Clinic (PATHWEIGH) | 0.01 (−1.01, 1.02) | 0.991 | −0.01 (−1.02, 1.01) | 0.988 | 0.34 (−0.67, 1.36) | 0.506 |
| Follow-up time (Days) | 0.01 (0.00, 0.01) | 0.024 | 0.00 (0.00, 0.01) | 0.209 | ||
| Number of WPVs | 0.55 (0.29, 0.80) | 0.001 | ||||
P-values less than 0.05 are bolded for ease of reference.