Table 4.

Linear regression with login quartiles as predictor.

Model	Included	B (SE)	P	Odds ratio (95% CI)
Predicting CES-D at post intervention
	Constant	20.8 (0.90)	<.001	19.0-22.6
	Login quartile	–1.17 (0.49)	.018	–2.14 to –0.20
Predicting CES-D at follow-up
	Constant	18.1 (0.95)	<.001	16.2-20.0
	Login quartile	–0.63 (0.52)	.229	–1.65 to 0.40
Predicting HADS-A at post intervention
	Constant	8.16 (0.35)	<.001	7.46-8.86
	Login quartile	–0.37 (0.19)	.057	–0.72 to 0.01
Predicting HADS-A at follow-up
	Constant	7.44 (0.33)	<.001	0.78-8.10
	Login quartile	–0.23 (0.18)	.210	–0.59 to 0.13