Table 5. GEE Poisson models predicting the count of alcoholic beverages (n = 563^a).

	Model 1: sociodemographic and PANAS					Model 2: DMQ added to model
Variable	b	se	z	P	IRR	b	se	z	P	IRR
Gender	−.124	.217	−.57	.568	.884	−.216	.174	−1.24	.215	.81
Age	−.024	.017	−1.36	.174	.977	−.023	.140	−1.66	.100	.98
Currently married	.068	.272	.25	.802	1.07	.123	.214	.57	.567	1.13
SF-12v2® PCS	.016	.010	1.65	.100	1.02	.018	.009	2.11	.035	1.01
Positive affect† (within person)	.019	.016	1.17	.242	1.02	.019	.016	1.15	.249	1.02
Positive affect† (between person)	−.108	.029	− 2.19	.028	.900	−.097	.032	− 3.07	.002	.91
Negative affect† (within person)	−.027	.024	−1.10	.271	.973	−.030	.026	−1.17	.250	.97
Negative affect† (between person)	−.093	.064	−1.44	.149	.911	−.122	.064	−1.92	.055	.89
Coping motives‡						.158	.075	2.08	.038	1.17
Social motives‡						.144	.050	2.88	.003	1.16
Model fit indices	QIC = 1246.265; QICu = 1189.143					QIC = 1305.159; QICu = 1263.428

Notes: Models utilized AR(1) autoregressive correlation structure; time (day of the week) included in models as a class variable (not shown); IRR = Incident Risk Ratio;

^†Measured by the PANAS;

^‡Measured by the DMQ-R SF;

^an = 563 based on data from 66 participants over 8 days and 5 participants with data over 7 days.