Table 7

Multiple regression models examining associations with a clinically significant HADS score
Model 1: Multiple logistic regression Model 2: Multi level multiple logistic regression
Odds ratio 95% CI P value Odds ratio 95% CI P value
Male sex 0.54 0.29, 1.01 0.054 0.52 0.26, 1.03 0.062
Married (vs single/ divorced) 0.42 0.19, 0.92 0.031 0.40 0.17, 0.96 0.040
Third level education or higher 0.31 0.14, 0.71 0.006 0.31 0.13, 0.74 0.009
First degree relative to proband 2.91 1.26, 6.73 0.013 3.18 1.22, 8.31 0.018

Footnote. Multivariable models adjusted for age. Model 1 is a multivariable logistic regression, with a clinically significant HADS score as the outcome variable and adjusted for age. Model 2 is a multivariable logistic regression model with a random effects variable for family and adjusted for age. Log likelihood for model 1 is −130.45, and −130.05 for model 2. For the random effects model 2, the random intercept (ψ) is 0.253, and the estimated intraclass correlation of the latent responses (ρ) is 0.071.

McGorrian et al.

McGorrian et al. BMC Medical Genetics 2013 14:1   doi:10.1186/1471-2350-14-1

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