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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;