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Table 4 Univariate correlates of self-reported screen time a

From: Correlates of objectively measured sedentary time and self-reported screen time in Canadian children

  Total Boys Girls
Variables β-coefficient SE p- value β-coefficient SE p- value β-coefficient SE p- value
Anthropometric b
Percent body fat 0.01 0.00 0.0118 0.01 0.01 0.0677 0.01 0.01 0.0329
Waist circumference 0.01 0.00 0.0010 0.01 0.00 0.0325 0.01 0.01 0.0045
BMI z-score 0.07 0.03 0.0085 0.07 0.04 0.0930 0.09 0.04 0.0167
Behavioural characteristics          
Unhealthy eating score 0.13 0.03 <0.0001 0.08 0.03 0.0248 0.26 0.05 <0.0001
Healthy eating score −0.11 0.03 <0.0001 0.07 0.03 0.0248 0.26 0.05 <0.0001
Weekday breakfast consumption 0.07 0.18 0.7118 −0.21 0.41 0.6117 −0.12 0.21 0.5883
Weekend breakfast consumption −0.45 0.20 0.0250 −0.09 0.27 0.7545 −0.66 0.30 0.0257
Commute to school −0.09 0.06 0.1634 −0.02 0.09 0.8381 −0.14 0.09 −0.1384
Sleep quality 0.09 0.10 0.3687 0.31 0.14 0.0309 −0.05 0.13 0.6803
Sleep quantity 0.15 0.09 0.1055 0.25 0.13 0.0507 0.08 0.14 0.5728
Self-report PA 0.13 0.06 0.0213 0.17 0.08 0.0427 0.11 0.08 0.1880
Family situation
Mother weight status 0.19 0.06 0.0011 0.10 0.08 0.2612 0.29 0.08 0.0005
Father weight status 0.09 0.06 0.1001 0.11 0.08 0.1678 0.10 0.08 0.2157
Mother education −0.15 0.08 0.0596 −0.24 0.08 0.2731 −0.19 0.11 0.0837
Father education −0.35 0.07 <0.0001 −0.21 0.11 0.0459 −0.47 0.10 <0.0001
Household income −0.19 0.06 0.0012 −0.24 0.08 0.0038 −0.20 0.08 0.0144
Home environment  
# of TV’s in home 0.15 0.06 0.0153 0.24 0.09 0.0090 0.11 0.09 0.2041
TV in bedroom −0.32 0.07 <0.0001 −0.28 0.11 0.0093 −0.39 0.10 0.0002
Automobiles in home −0.00 0.12 0.9684 0.07 0.17 0.6630 −0.08 0.15 0.5696
  1. aMulti-level general linear model controlling for sex, and ethnicity with school as a random effect, unstandardized beta coefficients are presented. bISCOLE used a variety of measures to assess adiposity, all of which were significant in univariate analyses. To build the final models, stepwise addition was used to determine which measure of adiposity provided the closest fit for the data. Akaike information criterion, Bayesian information criterion, and level of significance were used to determine model fit. Waist circumference alone provided the best fit.
  2. PA: physical activity; SE: Standard Error; TV: television.
  3. NOTE: bolded data indicates significance (p<0.10).