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Table 2 Differences between short and ‘normal’ sleepers in sleep characteristics and waking behaviors

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

 

Children

Adolescents

Short sleepers

n = 245

Normal sleepers

n = 98

p-valuec

Short sleepers

n = 238

Normal sleepers

n = 78

p-valuec

Meana

varb

Meana

varb

Meana

varb

Meana

varb

Sleep duration (min/day)d

502.6

32.0

568.1

29.9

< 0.001

438.0

36.8

501.8

35.0

< 0.001

Sleep efficacy (%)e

86.2

4.5

84.1

4.2

< 0.001

87.8

4.7

86.5

4.3

0.030

Sleep onset (hh:mm)f

22:16

39

21:33

38

 

23:29

50

22:35

39

 

Wake-up time (hh:mm)f

06:40

31

07:01

35

 

6:52

39

07:06

34

 

SBg (min/day)d

647.7

50.3

552.5

54.8

< 0.001

749.8

45.2

682.7

48.1

0.001

LPAh (min/day)d

236.9

37.1

250.3

42.7

0.167

216.7

35.7

218.7

34.0

0.035

MVPAi (min/day)d

52.8

80.6

69.1

72.7

0.002

35.5

82.4

36.7

83.0

0.972

Bouts of SBg (min/day)d

 sporadic

152.4

14.5

172.5

12.2

< 0.001

97.9

15.1

89.1

16.2

0.049

 1–9 min

123.4

12.3

121.8

12.3

0.381

107.1

12.1

100.1

12.5

0.005

 10–29 min

112.3

14.5

107.3

14.7

0.596

119.5

14.1

113.6

14.1

0.041

  ≥ 30 min

242.1

26.1

149.2

27.1

< 0.001

419.3

20.7

373.0

24.2

0.350

Bouts of LPAh (min/day)d

 sporadic

145.4

11.5

153.5

11.3

< 0.001

112.8

11.7

106.1

11.4

0.055

 1–9 min

81.1

12.8

79.8

13.7

0.419

80.4

11.9

82.8

11.7

0.821

  ≥ 10 min

16.8

43.1

13.2

54.5

0.042

22.0

43.4

25.3

34.9

0.185

Bouts of MVPAi (min/day)d

 sporadic

36.9

13.8

43.9

14.0

< 0.001

22.0

16.2

23.3

16.6

0.017

  ≥ 1 min

17.1

40.5

20.9

29.6

0.052

12.7

42.4

11.4

46.1

0.716

  1. a Geometric mean for time-use components; arithmetic mean for other variables
  2. b The part of total variance related to a given time-use component; standard deviation for other variables
  3. c p-value from the t-test for independent samples, where the first pivot coordinate was used to represent each time-use variable
  4. d The respective time-use composition was adjusted to 24 h before the analysis
  5. e Calculated as the percentage of time spent in sustained inactivity periods divided by the sleep duration
  6. f Time was detected by an algorithm guided by self-reported wake-up and sleep-onset time. Standard deviation is expressed in minutes
  7. g Sedentary behavior
  8. h Light physical activity
  9. i Moderate-to-vigorous physical activity
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International Journal of Behavioral Nutrition and Physical Activity

ISSN: 1479-5868

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