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Table 8 Multilevel logistic regression of active COPD

From: Practical utility of general practice data capture and spatial analysis for understanding COPD and asthma

  Model 1 Model 2
Covariates Est. SE p [95% CI] Est. SE p [95% CI]
Within-cluster
 Age 2.348 0.239 < 0.0001 [1.880 2.816]
 Age2 − 0.697 1.121 < 0.0001 [− 0.933 − 0.461]
 Male 0.522 0.077 < 0.0001 [0.372 0.672]
 Female 0.0
 Smoker 2.477 0.116 < 0.0001 [2.251 2.704]
 Ex-smoker 1.522 0.093 < 0.0001 [1.340 1.704]
 Never smoked 0.0
 Indigenous Australian 0.871 0.341 0.011 [0.203 1.540]
 Non-Indigenous Australian 0.0
 Unmarried 0.365 0.126 0.004 [0.118 0.613]
 Married 0.0
 N-Comorbidities 1.060 0.029 < 0.0001 [1.004 1.117]
Between-cluster         
 IRSD (Q4) −1.280 0.171 < 0.0001 [−1.614 −0.945] − 0.513 0.182 0.005 [−0.870 − 0.155]
 IRSD (Q3) −0.712 0.114 < 0.0001 [−0.936 − 0.489] − 0.299 0.117 0.010 [− 0.528 − 0.071]
 IRSD (Q2) − 0.358 0.083 < 0.0001 [− 0.520 − 0.196] − 0.156 0.091 0.088 [− 0.335 0.023]
 IRSD (Q1) 0.0 0.0
  1. Notes – Age: age in years, standardised; Age2: Age*Age. Smoker: daily, weekly or irregular smoker; Ex-smoker: does not smoke now, but has smoked ≥ 100 cigarettes (or equivalent) in life time; Never smoked: does not smoke now, and has smoked < 100 cigarettes (or equivalent) in life time; Unmarried: never married, divorced, separated or widowed; Married: registered or de facto; N-Comorbidities: Number of comorbid conditions; IRSD: Index of Relative Social Disadvantage (ABS 2011); Q1-Q4: National quartile of IRSD (determined using cut-points for quartiles within the Australia-wide distribution of scores at SA1 level) where Q1: most disadvantaged, Q4: least disadvantaged