Table 3: The linear relationships between weekday use of specific technologies at bedtime and BMI z-score in 632 contemporary UK adolescents

From: Exploring the complex pathways among specific types of technology, self-reported sleep duration and body mass index in UK adolescents

 Model 1Model 2Model 3
 Unst (s.e.) StUnst (s.e.) StUnst (s.e.) St
Computer use0.47** (0.08) 0.220.44** (0.09) 0.210.26** (0.08) 0.12
Mobile telephone0.22* (0.09) 0.090.14 (0.09) 0.060.01 (0.09) 0.00
TV viewing0.51** (0.08) 0.240.50** (0.08) 0.240.31** (0.08) 0.15
Video gaming0.52** (0.08) 0.260.61** (0.08) 0.300.40** (0.08) 0.20
  1. Abbreviations: s.e., standard error; St, standardised coefficient; Unst, unstandardised coefficient.
  2. Model 1: unadjusted.
  3. Model 2: adjusted for age, sex, ethnicity and school.
  4. Model 3: further adjusted for snacking, caffeine consumption, depression, method of travel to school, potential obstructive sleep apnoea (OSA), bedroom sharing, napping, weekday sleep duration (hours).
  5. *P<0.05; **P<0.01.