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. 2016 Jun 3;4:162–168. doi: 10.1016/j.pmedr.2016.05.013

Table 5.

Media device ownership and media use as predictors of low cardiorespiratory fitness in English schoolchildren (10–15 years).

Model1
Model2
Model3
OR (95%CI) p-Value OR (95%CI) p-Value OR (95%CI) p-Value
Boys
Owning satellite or digital TV receiver 2.12
(1.31–3.94)

p = 0.004
2.33
(1.42–3.83)

p = 0.002
1.84
(1.04–3.24)

p = 0.035
Age
(years)
1.20
(0.99–1.45)

p = 0.068
1.20
(0.97–1.49)

p = 0.089
Deprivation
(EID)
0.96
(0.92–1.01)

p = 0.164
0.98
(0.93–1.04)

p = 0.065
Physical activity
(PAQ score 1–5)
0.15
(0.09–0.24)

p < 0.001
Schools
(clusters)
5.49
(1.77–17.04)
5.28
(1.71–16.33)
9.64
(4.46–26.8)



Girls
Social media (min·day− 1) 1.006
(1.001–1.011)

p = 0.002
1.006
(0.999–1.009)

p = 0.059
1.004
(0.998–1.008)

p = 0.108
Owning
desktop computer
0.38
(0.17–0.90)

p = 0.027
0.37
(0.16–0.89)

p = 0.026
0.54
(0.21–1.40)

p = 0.199
Age
(years)
1.65
(1.28–2.12)

p < 0.001
1.51
(1.16–1.98)

p = 0.002
Deprivation
(EID)
0.95
(0.88–1.02)

p = 0.164
0.96
(0.89–1.04)

p = 0.281
Physical activity
(PAQ score 1–5)
0.28
(0.16–0.51)

p < 0.001
Schools
(clusters)
5.60
(2.03–15.4)
5.54
(1.99–15.4)
5.16
(1.84–14.5)

Legend: EID — English Indices of Deprivation; OR — Odd Ratios and 95% Confidence Intervals (95%CI) — Multilevel mixed Binary logistic regression (Enter) with coefficients reported as adjusted OR (95%CI). OR are for likelihood of low fitness — cardiorespiratory fitness value below cut-offs of Bell et al., (1986). Analysis performed in STATA Version 14.0; with School as random effects factor to adjust for clustering. Referent category — Good Cardiorespiratory Fitness (above cut-offs of Bell et al., 1986) and non-ownership of media devices listed. Social media — Time spent using social media each day, expressed as a continuous variable (min·day− 1). Model2 adjusted for Age (years) and Deprivation (continuous variables). Model2 adjusted for Age, Deprivation and Physical Activity (PAQ-Score, Kowalski et al., 1997). Initial variables selected on the basis of statistically significant linear association with fitness expressed as age- and sex-specific z-score (analysis not shown) and on basis of non-collinearity (VIF < 2.5). All data collected in summer term (May–June) 2014 at n = 6 schools, Essex, UK.