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Table 3 Results of multivariate robust compositional regression analyses of the associations between sleep duration (explanatory variable) and the amounts of time spent in waking behaviors (outcome variables)

From: How do short sleepers use extra waking hours? A compositional analysis of 24-h time-use patterns among children and adolescents

  Children
n = 343
Adolescents
n = 316
βilr1a 95% CIb p-valuec βilr1a 95% CIb p-valuec
Model 1
 SBd (min/day) 0.18 (0.12, 0.24) < 0.001 0.13 (0.05, 0.21) 0.002
 LPAe (min/day) 0.03 (−0.01, 0.06) 0.137 0.04 (−0.01, 0.09) 0.106
 MVPAf (min/day) −0.09 (−0.17, 0.00) 0.053 −0.01 (−0.13, 0.12) 0.914
Model 2
Bouts of SBd (min/day)
  Sporadic −0.17 (− 0.24, − 0.10) < 0.001 0.10 (0.00, 0.19) 0.058
  1–9 min −0.03 (− 0.09, 0.02) 0.208 0.08 (0.02, 0.14) 0.007
  10–29 min 0.01 (−0.08, 0.09) 0.868 0.10 (0.02, 0.18) 0.015
   ≥ 30 min 0.46 (0.29, 0.62) < 0.001 0.10 (−0.07, 0.27) 0.235
Bouts of LPAe (min/day)
  Sporadic −0.09 (−0.14, − 0.04) < 0.001 0.05 (0.00, 0.10) 0.071
  1–9 min 0.02 (−0.04, 0.09) 0.469 −0.03 (−0.08, 0.02) 0.289
   ≥ 10 min 0.15 (−0.06, 0.37) 0.164 −0.13 (−0.35, 0.08) 0.222
Bouts of MVPAf (min/day)
  Sporadic −0.17 (−0.25, − 0.10) < 0.001 −0.09 (− 0.19, 0.00) 0.062
   ≥ 1 min −0.13 (− 0.30, 0.04) 0.145 0.03 (−0.18, 0.24) 0.765
  1. a Non-standardized regression coefficient for the first pivot coordinate. Models were adjusted for sex, body mass index z-score, region, season of data collection, and sleep efficiency
  2. b 95% confidence interval for β
  3. c p-value for β
  4. d Sedentary behavior
  5. e Light physical activity
  6. f Moderate-to-vigorous physical activity