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Table 1 Average daily duration (mins/day) in each activity-related behavior at baseline and follow-up according to typology membership

From: A latent transition analysis of physical activity and screen-based sedentary behavior from adolescence to young adulthood

 

Whole sample

Sedentary gamers

Inactives

Actives

 

Mean ± S.D.

Mean ± S.D.

Mean ± S.D.

Mean ± S.D.

Baseline (n)

803

129

376

298

Active travel

24.28 ± 29.05

18.94 ± 23.34

21.89 ± 27.68

29.53 ± 32.01 *, #

Leisure-time physical activity

 Walking

11.17 ± 19.22

7.26 ± 12.84

8.61 ± 15.50

16.10 ± 24.12 *, #

 Vigorous intensity

20.57 ± 30.49

13.26 ± 22.71

12.42 ± 19.71

34.04 ± 38.80 *, #

 Moderate intensity

15.64 ± 22.75

12.60 ± 21.71

8.82 ± 12.03

25.52 ± 29.17 *, #

Leisure-time screen-based sedentary behavior

 TV viewing

97.50 ± 101.64

128.54 ± 131.22

100.51 ± 104.88 *

79.43 ± 75.26 *, #

 Computer use

114.60 ± 105.07

165.59 ± 126.05

129.95 ± 106.19 *

84.43 ± 83.14 *, #

 Video gaming

14.56 ± 50.55

57.46 ± 84.30

4.73 ± 34.37 *

8.39 ± 36.83 #

Follow-up (n)

803

121

389

293

Active travel

24.82 ± 34.97

18.71 ± 26.02

21.27 ± 31.66

31.91 ± 40.76 *, #

Leisure-time physical activity

 Walking

10.35 ± 18.67

4.74 ± 10.52

6.68 ± 14.13

17.41 ± 23.63 *, #

 Vigorous intensity

17.36 ± 26.43

13.34 ± 21.98

10.21 ± 18.52

28.66 ± 32.58 *, #

 Moderate intensity

12.44 ± 18.74

10.40 ± 19.55

6.90 ± 12.17

21.00 ± 23.16 *, #

Leisure-time screen-based sedentary behavior

 TV viewing

100.46 ± 95.79

145.20 ± 134.42

103.53 ± 94.06 *

77.71 ± 67.58 *, #

 Computer use

123.44 ± 118.54

172.22 ± 153.12

134.36 ± 123.16 *

89.96 ± 86.31 *, #

 Video gaming

15.03 ± 53.36

83.59 ± 103.59

0.0 ± 0.0 *

6.74 ± 33.71 #

  1. Italicized and underlined follow-up value indicates significant difference between time points based on independent t-tests (p < 0.05);
  2. Comparisons between typologies at each time point: *p < 0.05, compared with adolescents in the ‘sedentary gamers’ typology based on ANOVA; #p < 0.05, compared with adolescents in the ‘inactives’ typology based on ANOVA