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Table 4 Profile of identified clusters

From: Screen-based media use clusters are related to other activity behaviours and health indicators in adolescents

  C1‘Instrumental computer users’ C2 ‘Multi-modal E-gamers’ C3 ‘Computer E-gamers’  
  (n = 274) (n = 185) (n = 184) p-value1
Gender (n = 643)     
  Male n (%) 58 (21.2)a 185 (100.0)b 50 (27.2)a <0.001
  Female n (%) 216 (78.8) 0 134 (72.8)  
SBM activity (h/week: median, interquartile range)(n = 643)     
  Computer     
  General comp use 1.8a (3.2) 0.0b (2.1) 0.0c (0.0) <0.001
  Email 0.2a (3.3) 0.0b (0.0) 0.0b (0.0) <0.001
  Computer-graphics 0.0 (0.0) 0.0 (0.0) 0.0 (0.0) 0.079
  Internet 0.3a (1.8) 0.0b (1.4) 0.0c (0.0) <0.001
  Word processing 0.0a (0.5) 0.0a (0.0) 0.0b (0.0) <0.001
  Computer games 0.0a (0.2) 2.7b (7.1) 0.8c (5.3) <0.001
 Non-computer games 0.0a (0.0) 3.1b (7.0) 0.0a (0.0) <0.001
 TV 12.8a (9.6) 20.9b (13.8) 16.8c (14.2) <0.001
 Total SBM 21.2 a (11.9) 34.1b (20.4) 22.1a (14.6) <0.001
  Males 24.1 a (13.1) 34.1b (20.4) 22.3a (17.6) <0.001
  Females 20.8 (11.7)   22.1 (14.4) 0.098
Other activities     
 Reading (h/wk: median, IQR)(n = 643)     
  Males 0.9 (2.3) 1.2 (2.9) 1.3 (3.9) 0.122
  Females 1.6 (3.1)   1.7 (3.0) 0.674
 Phone use (h/wk: median, IQR) (n = 643)     
  Males 0.0a (0.9) 0.0b (0.2) 0.0b (0.0) 0.009
  Females 0.3 (1.3)   0.2 (1.2) 0.352
 Pedometer count (n = 537) (steps/wk: mean, SD)     
  Males 87,472a(27,262) 73,684b (26,544) 88,490a (32,191) <0.001
  Females 68,589 (22,455)   68,187 (24,264) 0.885
 MVPA exercise out of school (n = 643)(h/wk: mean, SD)     
  Males 18.2a (8.4) 14.7b (7.8) 16.3a,b (9.7) 0.017
  Females 12.9 (6.6)   13.5 (7.4) 0.380
Physical measures     
 Body mass index (mean, SD)(n = 641)     
  Males 20.1 (3.4) 20.7 (3.7) 20.8 (4.2) 0.536
  Females 21.4 (4.0)   21.2 (4.4) 0.629
 Back muscle endurance (secs: mean, SD)(n = 634)     
  Males 98.9 (67.4) 81.0 (55.9) 96.0 (70.9) 0.082
  Females 89.2 (63.1)   90.7 (68.9) 0.839
Sitting trunk angle (deg: mean, SD)(n = 609)     
Males 236.1 (11.6) 239.3 (11.9) 235.8 (11.1) 0.074
Females 224.9 (10.0)   226.7 (10.7) 0.126
Spinal pain     
 Neck pain sitting (n (%))(n = 639)     
  Males 3 (5.3) 10 (5.4) 1 (2.0) 0.593
  Females 20 (9.4)   11 (8.2) 0.717
 Back pain sitting (n (%))(n = 641)     
  Males 6 (10.5) 19 (10.3) 6 (12.0) 0.943
  Females 34 (15.7)   28 (20.9) 0.220
Psychosocial measures     
 Self-efficacy2 (mean, SD)(n = 638)     
  Males 3.5 (0.6) 3.4 (0.6) 3.4 (0.6) 0.531
  Females 3.4a (0.6)   3.2b (0.7) 0.028
 Depression3 (median, IQR)(n = 639)     
  Males 3.0a (4.0) 4.0b (7.0) 4.0b (7.0) 0.046
  Females 5.0 (8.0)   5.0 (9.0) 0.995
 Internalising behaviour4(mean, SD)(n = 636)     
  Males 7.4 (5.0) 9.1 (6.1) 10.0 (6.8) 0.071
  Females 10.2 (6.5)   10.2 (6.6) 0.950
 Externalising behaviour4 (mean, SD)(n = 636)     
  Males 9.4 (6.2) 10.3 (6.3) 10.1 (5.5) 0.647
  Females 10.6(6.6)   9.8 (5.5) 0.262
Socioeconomic Status     
 based on CD5 (mean, SD)(n = 625)     
  Males 1073a (82) 1035b (91) 1029b (93) 0.016
  Females 1042 (88)   1024 (94) 0.062
  1. 1ANOVA used where mean (SD) reported, Kruskal-Wallis test used where median(IQR) reported, chi-squared test used where n(%) reported (or Fishers exact test where expected count <5).
  2. 2Cowen’s Perceived Self-Efficacy Scale, possible score ranges from 1–5, with higher scores indicating greater self-efficacy.
  3. 3Beck’s Depression Inventory, possible score ranges from 0 to 60, with higher scores indicating more depressed mood.
  4. 4Youth Self-Report version of Child Behaviour Checklist, Internalising range 0–62, Externalising 0–60, higher scores indicate more behaviouralproblems.
  5. 5Advantage/Disadvantage (IAD) from Socio Economic Index for Areas (SEIFA) based on postcode, standardised to population mean of 1,000 with SD of 100.
  6. a,b,c Superscripted letters define significantly different groups, ie results with different letters are significantly different.
  7. Activity, physical and mental health variables that were significantly different between clusters have p values shown in bold.