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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