Table 2

Multilevel logistic regression calculating likelihood of ≥3 antidepressant medication prescriptions given area-level dissimilarity, adjusting for GP variation

Model 1Model 2Model 3Model 4Model 5
Segregation
 D <0.61.001.001.001.001.00
 D >0.61.07 (1.06 to 1.09)1.10 (1.08 to 1.11)1.09 (1.07 to 1.11)1.00 (0.98 to 1.01)1.00 (0.98 to 1.01)
Gender
 Male1.001.001.001.00
 Female2.28 (2.25 to 2.30)2.28 (2.25 to 2.30)2.29 (2.27 to 2.32)2.29 (2.27 to 2.32)
Age (years)
 18–241.001.001.001.00
 25–341.92 (1.87 to 1.97)1.92 (1.87 to 1.97)1.91 (1.87 to 1.96)1.91 (1.87 to 1.96)
 35–443.39 (3.32 to 3.47)3.40 (3.32 to 3.48)3.48 (3.40 to 3.58)3.48 (3.40 to 3.56)
 45–544.36 (4.26 to 4.46)4.36 (4.26 to 4.46)4.49 (4.39 to 4.60)4.49 (4.39 to 4.60)
 55–644.69 (4.58 to 4.80)4.70 (4.59 to 4.81)4.83 (4.72 to 4.94)4.83 (4.72 to 4.95)
 65–743.76 (3.67 to 3.85)3.76 (3.67 to 3.86)3.83 (3.74 to 3.93)3.83 (3.74 to 3.93)
Conurbation
 Rural1.001.001.00
 Urban1.24 (1.20 to 1.27)1.08 (1.05 to 1.11)1.07 (1.04 to 1.10)
Deprivation
 1—most affluent1.001.00
 21.20 (1.18 to 1.22)1.19 (1.17 to 1.21)
 31.40 (1.37 to 1.42)1.38 (1.35 to 1.40)
 41.66 (1.63 to 1.69)1.62 (1.59 to 1.66)
 5—most deprived2.06 (2.02 to 2.10)2.02 (1.97 to 2.07)
Crime
 1—low crime1.00
 21.04 (1.02 to 1.06)
 31.05 (1.03 to 1.07)
 41.06 (1.04 to 1.08)
 5—high crime1.05 (1.03 to 1.08)
  • Figures represent ORs and 95% CIs.

  • Model 1: unadjusted.

  • Model 2: adjusted for gender and age.

  • Model 3: plus adjustment for urban/rural.

  • Model 4: plus adjustment for area level deprivation.

  • Model 5: plus adjustment for reported crime.

  • GP, general practice.