Table 2.

Cox regression models predicting antidepressant prescriptions by low procedural justice

Group	Model 1a Crude model	Model 2a* + Covariates	Model 1b° Crude model	Model 2b*° + Covariates
	n = 4374, 170 events		n = 4652, 448 events
	HR (95% CI)	HR (95% CI)	HR (95% CI)	HR (95% CI)
Group 1: Stable low	1.46 (0.96 to 2.21)	1.46 (0.96 to 2.22)	1.59 (1.24 to 2.03)	1.57 (1.22 to 2.01)
Group 2: Increasing	1.44 (0.92 to 2.24)	1.47 (0.94 to 2.30)	1.39 (1.05 to 1.83)	1.41 (1.07 to 1.86)
Group 3: Decreasing	1.77 (1.17 to 2.68)	1.79 (1.18 to 2.73)	1.65 (1.27 to 2.14)	1.67 (1.29 to 2.20)

Notes: Reference group is group 4 (stable high)

*Models 2a and 2b are adjusted for sex, age, education, socioeconomic position, marital status, insecure employment in 2010 (estimates not shown, sex and insecure employment remained significant)

°Model 1b and 2b are adjusted for all covariates as above, and also includes events from individuals in receipt of prescribed antidepressant medication in the 2 years up to 2012