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Table 3 Univariate correlates of total sedentary 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 1.62 0.37 <0.0001 0.48 0.62 0.0172 1.57 0.48 0.0012
Waist circumference 1.66 0.31 <0.0001 1.50 0.47 0.0017 1.64 0.43 0.0001
BMI z-score 7.61 2.63 0.0039 7.00 4.42 0.1147 6.93 3.30 0.0366
Behavioural characteristics          
Unhealthy eating score −6.08 2.87 0.0347 −5.33 3.70 0.1507 −8.38 4.12 0.0830
Healthy eating score −2.47 2.71 0.3627 −3.33 4.43 0.4527 0.25 3.51 0.9429
Weekday breakfast consumption 30.42 18.15 0.0949 −10.07 43.28 0.8162 35.95 20.00 0.0727
Weekend breakfast consumption 33.34 20.36 0.1022 27.49 33.10 0.4073 40.10 26.72 0.1346
Commute to school 0.25 6.43 0.9688 −1.87 9.75 0.8482 −0.21 8.55 0.9850
Sleep quality 9.42 10.00 0.3467 8.37 17.54 0.6339 13.15 12.36 0.2883
Sleep quantity 26.04 9.31 0.0053 30.12 14.28 0.0361 27.99 12.81 0.0296
Self-reported PA 8.00 5.69 0.1620 1.27 9.08 0.8889 12.72 7.50 0.0907
Family situation
Mother weight status −2.99 6.02 0.6197 −2.47 9.52 0.7955 −3.33 7.86 0.6726
Father weight status −1.43 5.57 0.7968 −5.29 8.88 0.5524 −0.23 7.18 0.9747
Mother education −1.06 8.07 0.8961 −4.18 13.22 0.7525 2.53 10.10 0.8028
Father education −4.66 7.24 0.5202 −10.83 11.65 0.3535 1.14 9.28 0.9025
Household income −5.33 5.75 0.3569 −12.46 8.98 0.1670 −2.14 7.55 0.7773
Home environment  
# of TV’s in home 16.24 6.17 0.0087 20.26 9.91 0.0422 13.89 7.95 0.0816
TV in bedroom −8.05 7.62 0.2916 −25.45 12.25 0.0390 4.09 9.77 0.6761
Automobiles in the home 12.19 10.93 0.2653 −8.18 18.18 0.6531 27.21 13.99 0.0528
  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).