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Table 2 Multiple logistic regression: with odds ratios according to sleep category (sufficient vs. insufficient)

From: Sleep duration and risk of obesity among a sample of Victorian school children

Variable Model 1 Model 2 Model 3
OR 95 % CI OR 95 % CI OR 95 % CI
Weight Status
Overweight 1.720* 1.103-2.681 1.888* 1.138-3.131 1.968* 1.112-3.481
Obese 1.800 0.940-3.446 2.306* 1.175-4.526 2.433** 1.256-4.711
Activity Levels
MVPA 1.002 0.991-1.014 1.003 0.990-1.016 1.003 0.991-1.015
LPA 0.999 0.990-1.009 1.001 0.992-1.010 1.001 0.992-1.010
ST 1.003 0.999-1.006 1.002 0.999-1.005 1.002 0.999-1.004
Demographic
Age (Years)    1.593** 1.174-2.162 1.565** 1.150-2.128
Gender    1.192 0.593-2.396 1.276 0.666-2.442
SEIFA    1.036 0.854-1.256 1.059 0.880-1.275
Condition    0.829 0.460-1.493 0.848 0.465-1.546
Environmental
TV Room      1.100 0.574-2.105
Comp Room      2.115** 1.245-3.593
  1. Model 1: Unadjusted logistical regression on hypothesised correlated variables; Model 2:Logistical regression, adjusted for demographic covariates (Age, Gender & SEIFA) and condition; Model 3: Logistical regression, further adjusted for environmental covariates (TV in room & Computer/EGD in bedroom)
  2. OR – odds ratio; CI – confidence interval; *p<0.05; **p<0.01;