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).

CoefficientModel 1Model 2Model 3
Estimate (95% CI)P-valueEstimate (95% CI)P-valueEstimate (95% CI)P-value
Intercept1.20 (0.66, 1.75)0.0010.39 (−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)0.9880.34 (−0.67, 1.36)0.506
Follow-up time (Days)0.01 (0.00, 0.01)0.0240.00 (0.00, 0.01)0.209
Number of WPVs0.55 (0.29, 0.80)0.001
CoefficientModel 1Model 2Model 3
Estimate (95% CI)P-valueEstimate (95% CI)P-valueEstimate (95% CI)P-value
Intercept1.20 (0.66, 1.75)0.0010.39 (−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)0.9880.34 (−0.67, 1.36)0.506
Follow-up time (Days)0.01 (0.00, 0.01)0.0240.00 (0.00, 0.01)0.209
Number of WPVs0.55 (0.29, 0.80)0.001

P-values less than 0.05 are bolded for ease of reference.

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).

CoefficientModel 1Model 2Model 3
Estimate (95% CI)P-valueEstimate (95% CI)P-valueEstimate (95% CI)P-value
Intercept1.20 (0.66, 1.75)0.0010.39 (−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)0.9880.34 (−0.67, 1.36)0.506
Follow-up time (Days)0.01 (0.00, 0.01)0.0240.00 (0.00, 0.01)0.209
Number of WPVs0.55 (0.29, 0.80)0.001
CoefficientModel 1Model 2Model 3
Estimate (95% CI)P-valueEstimate (95% CI)P-valueEstimate (95% CI)P-value
Intercept1.20 (0.66, 1.75)0.0010.39 (−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)0.9880.34 (−0.67, 1.36)0.506
Follow-up time (Days)0.01 (0.00, 0.01)0.0240.00 (0.00, 0.01)0.209
Number of WPVs0.55 (0.29, 0.80)0.001

P-values less than 0.05 are bolded for ease of reference.

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