TABLE 2.

Mixed linear analyses to predict weekly alcohol consumption.

Predictors	β (SE)	95% CI	P	df	F	P
CARE	Model 1A
Time variable				3, 275	17.09	<0.001
Intercept	2.00 (3.29)	(1.39, 2.61)	<0.001
Quit day	−0.13 (0.53)	(−0.21, −0.04)	0.003
Week 4 post-quit	−0.31 (0.58)	(−0.41, −0.21)	<0.001
Week 26 post-quit	−0.38 (0.71)	(−0.51, −0.25)	<0.001
Break Free	Model 1B
Time variable				2, 265	12.08	<0.001
Intercept	2.68 (0.41)	(1.87, 3.50)	<0.001
Week 4.5 post-quit	−0.31 (0.07)	(−0.44, −0.18)	<0.001
Week 26 post-quit	−0.28 (0.09)	(−0.45, −0.11)	0.002
PNS	Model 1C
Time variable				3, 162	10.21	<0.001
Intercept	1.28 (0.42)	(0.44, 2.12)	<0.001
Quit day	−0.19 (0.07)	(−0.32, −0.06)	0.004
Week 3 post-quit	−0.43 (0.08)	(−0.58, −0.27)	<0.001
Week 26 post-quit	−0.34 (0.10)	(−0.54, −0.14)	0.001

Note: In all three data sets, the baseline time point is the comparison group for the time variable results. F and the corresponding P provide results for the type III tests of the significance for the time categorical variable fixed effect.

Abbreviation: PNS, Por Nuestra Salud.