Table 3.
Boys |
Girls |
||||||
---|---|---|---|---|---|---|---|
Media device ownership or media use | β | (95%CI) | p-Value | Media device ownership or media use | β | (95%CI) | p-Value |
Linear Model1 | |||||||
Games console | 170.1a | (75.1–266) | < 0.001 | Social media (min·day− 1) | 1.51a | (0.79–1.68) | < 0.001 |
Social media (min·day− 1) | 0.83a | (0.22–1.44) | 0.008 | Active game console | 85.4a | (38.6–132) | < 0.001 |
Desktop computer | 50.9b | (− 3.65–105.0) | 0.067 | Smart phone | − 76.6a | (− 124 to − 28.7) | 0.002 |
– | – | Blu-Ray/DVD player | − 49.8a | (− 90.7 to − 4.94) | 0.030 | ||
Passive school travel | 42.2 | (− 11.4 to 95.8) | 0.122 | Passive school travel | 31.3 | (− 13.5–75.7) | 0.167 |
Age | 10.6 | (− 10.9 to 32.2) | 0.333 | Age (years) | 29.5a | (12.4–46.6) | 0.001 |
Deprivation (EID) | − 1.70 | (− 7.16 to 3.76) | 0.540 | Deprivation (EID) | − 3.68 | (− 12.4 to − 46.6) | 0.136 |
OR | (95%CI) | p-Value | Media device ownership or media use | OR | (95%CI) | p-Value | |
Logistic Model2 | |||||||
Game console | 5.32a | (1.97–14.4) | < 0.001 | Social media (min·day− 1) | 1.02a | (1.01–1.03) | < 0.001 |
Social media (min·day− 1) | 1.004 | (0.998–1.01) | 0.155 | Active games console | 1.72b | (0.91–3.25) | 0.096 |
Desktop computer | 1.64b | (0.99–2.72) | 0.057 | Smart phone | 0.76 | (0.40–1.45) | 0.145 |
Blu-Ray/DVD player | 0.48 | (0.26–0.90) | 0.021 | ||||
Passive school travel | 1.62a | (1.00 to 2.65) | 0.050 | Passive school travel | 2.84a | (1.49–5.43) | 0.002 |
Age | 1.14 | (0.93 to 1.41) | 0.206 | Age (years) | 1.18 | (0.94–1.50) | 0.146 |
Deprivation (EID) | 0.96 | (0.92 to 1.01) | 0.144 | Deprivation (EID) | 0.96 | (0.90–1.04) | 0.365 |
Legend: EID — English Indices of Deprivation; OR — Odd Ratios, CI — Confidence Intervals; β — coefficients are unstandardized. Model1 — all variables were statistically significant, non-collinear (Variance Inflation Factor < 2.5) predictors of mean daily (weekday and weekend) sedentary time (min·day− 1) were identified using linear regression (Model1). Coefficients are for mixed linear regression analysis (Enter) with forced entry of: Passive school transport, Age and Deprivation. Model2 — Mixed logistic regression (Enter Method) predicting high sedentary time (sex-specific median splits); Referent category — low sedentary time. Initial variables entered on the basis of statistical significance and non-collinearity in Model1; Predictors reported as OR (95%CI). All ORs are mutually adjusted for; one another, Passive school transport, Age and Deprivation. All data collected in summer term (May–June) 2014 at n = 6 schools, Essex, UK.
Statistically significant predictor of high sedentary time.
Borderline statistical significance but likely important predictor based on OR and 95%Confidence Intervals.