Skip to main content

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).
Back to article page

International Journal of Behavioral Nutrition and Physical Activity

ISSN: 1479-5868

Contact us