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Table 9 Multilevel logistic regression of active asthma

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

  Model 1 Model 3
Covariates Est. SE p [95% CI] Est. SE p [95% CI]
Within-cluster
 Age − 1.316 0.044 < 0.0001 [− 1.401 − 1.230]
 Age2 − 0.291 0.026 < 0.0001 [−0.342 − 0.239]
 Male 0.192 0.046 < 0.0001 [0.102 0.283]
 Female 0.0
 Smoker − 0.324 0.071 < 0.0001 [− 0.462 −0.185]
 Ex-smoker −0.175 0.065 0.007 [−0.302 −0.049]
 Never smoked 0.0
 Indigenous Australian 0.201 0.209 0.336 [−0.209 0.612]
 Non- Indigenous Australian 0.0
 Unmarried 0.063 0.080 0.426 [−0.093 0.220]
 Married 0.0
 N-Comorbidities 1.741 0.035 < 0.0001 [1.672 1.811]
Between-cluster
 IRSD (Q4) −0.091 0.077 0.241 [−0.242 0.061] 0.361 0.093 < 0.0001 [0.179 0.544]
 IRSD (Q3) −0.215 0.056 < 0.0001 [−0.324 −0.107] 0.055 0.071 0.443 [−0.085 0.194]
 IRSD (Q2) −0.135 0.047 0.004 [−0.228 −0.042] − 0.020 0.064 0.759 [−0.145 0.105]
 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