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Table 2 Cox regression models predicting antidepressant prescriptions by low procedural justice

From: Effects of procedural justice on prospective antidepressant medication prescription: a longitudinal study on Swedish workers

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)

  1. Notes: Reference group is group 4 (stable high)
  2. *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)
  3. °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