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. 2016 May 10;39(2):321–329. doi: 10.1093/pubmed/fdw034

Table 1.

Descriptive statistics of measures by gender in a sample of secondary school students in the COMPASS study (2013/2014 data)

Female (n= 22 149) Male (n= 22 712) T-test
M (SD) M (SD)
Age 15.61 (1.213) 15.66 (1.252) −4.276, P < 0.0001
n (%)a n (%)a χ2
Weight statusb
 Underweight 307 (1.4%) 382 (1.7%) 690.965
 Normal-weight 13 596 (61.4%) 11 909 (52.4%) P < 0.0001
 Overweight 2540 (11.5%) 3793 (16.7%)
 Obese 943 (4.3%) 1914 (8.4%)
 Missing 4763 (21.5%) 4714 (20.8%)
Grade
 9 5709 (25.8%) 6016 (26.5%) 13.931
 10 5926 (26.8%) 5833 (25.7%) P = 0.008
 11 5561 (25.1%) 5604 (24.7%)
 12 4927 (22.2%) 5217 (23.0%)
Ethnicity
 White 16 649 (75.2%) 16 605 (73.1%) 34.882
 Off-reserve Aboriginal 808 (3.6%) 773 (3.4%) P < 0.0001
 Other/mixed/missing 4692 (21.2%) 5334 (23.5%)
Cigarette smoking
 Current 1103 (5.0%) 1822 (8.0%) 188.469
 Former 161 (0.7%) 245 (1.1%) P < 0.0001
 Never 20 885 (94.3%) 20 645 (90.9%)
Weight goal
 Trying to lose weight 12 716 (58.1%) 5394 (24.2%) 7869.569
 Trying to gain weight 975 (4.5%) 7131 (31.9%) P < 0.0001
 Trying to stay the same weight 3954 (18.1%) 3999 (17.9%)
 Not trying to do anything about weight 4253 (19.4%) 5797 (26.0%)
Breakfast
 Rarely skips 12 244 (55.7%) 14 111 (63.2%) 258.712
 Skips 3+ week 9731 (44.3%) 8209 (36.8%) P < 0.0001
Reason for skipping breakfast
 I do not have time 7674 (34.6%) 5492 (24.2%) 592.386, P < 0.0001
 The bus comes too early 2459 (11.1%) 1833 (8.1%) 119.104, P < 0.0001
 Slept in 3415 (15.4%) 2933 (12.9%) 57.896, P < 0.0001
 I am not hungry in the morning 5589 (25.2%) 3901 (17.2%) 436.503, P < 0.0001
 I feel sick when I eat breakfast 3932 (17.8%) 1401 (6.2%) 1436.532, P < 0.0001
 I am trying to lose weight 1464 (6.6%) 282 (1.2%) 863.882, P < 0.0001
 There is nothing to eat at home 915 (4.1%) 612 (2.7%) 70.376, P < 0.0001
 Other 525 (2.4%) 638 (2.8%) 8.549, P = 0.003
Lunch
 Rarely skips 18 447 (83.7%) 19 058 (85.2%) 19.167
 Skips 3+ week 3583 (16.3%) 3300 (14.8%) P < 0.0001
Alcohol use
 Regularly uses alcohol 12 554 (57.6%) 12 652 (57.4%) 0.082
 Rare or non-drinker 9260 (42.4%) 9384 (42.6%) P = 0.775
Binge drinking
 Regularly binge drinks 4847 (21.9%) 5946 (26.3%) 114.900
 Rare or non-binge drinker 17 236 (78.1%) 16 672 (73.7%) P < 0.0001

aNumbers may not add to total because of missing values.

bBody mass index (BMI) values used to determine weight status have been adjusted for age and gender.