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Table 2 Multilevel logistic regression models showing effects of sex, age and socioeconomic status on revision surgery

From: Revision joint replacement surgeries of the hip and knee across geographic region and socioeconomic status in the western region of Victoria: a cross-sectional multilevel analysis of registry data

  Hip revisions
Odds ratios (95%CI)
p value Knee revisions
Odds ratios (95%CI)
p value
Women 1.01 (0.85–1.19) 0.94 1.04 (0.84–1.29) 0.69
Men (referent) 1.00 1.00
Age group (years)
 0–39 0.01 (0.003–0.02) ≤0.001 0.01 (0.004–0.02) ≤0.001
 40–49 0.08 (0.04–0.13) ≤0.001 0.07 (0.04–0.13) ≤0.001
 50–59 0.32 (0.24–0.42) ≤0.001 0.31 (0.23–0.44) ≤0.001
 60–69 (referent) 1.00 1.00
 70–79 1.68 (1.36–2.07) ≤0.001 1.32 (1.02–1.71) 0.03
  ≥ 80 1.49 (1.17–1.90) 0.001 0.89 (0.64–1.23) 0.47
Socioeconomic status
 Quintile 1a 0.85 (0.67–1.09) 0.20 1.11 (0.81–1.51) 0.52
 Quintile 2 0.87 (0.68–1.10) 0.25 1.37 (1.02–1.83) 0.03
 Quintile 3 (referent) 1.00 1.00
 Quintile 4 1.11 (0.85–1.44) 0.44 0.98 (0.68–1.40) 0.92
 Quintile 5b 0.86 (0.56–1.34) 0.51 0.65 (0.34–1.27) 0.21
Random effects of LGAsc 0.20 (0.11–0.36)   0.33 (0.17–0.63)  
% total variance contributed by LGAsd 1%   3%  
p valuee   ≤0.001   ≤0.001
  1. aMost disadvantaged quintile of socioeconomic status; bMost advantaged quintile of socioeconomic status; cStandard deviation of the random effects of local government areas (LGAs); dPercentage of the total variance contributed by the variance of the LGAs; ep value for a likelihood ratio test. Bold text indicates significance at p value ≤0.05