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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