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. 2023 Feb 4;20(4):2806. doi: 10.3390/ijerph20042806

Table 1.

Descriptive characteristics of participants.

Total
n = 346
Men
n = 87
Women
n = 269
p
Age (years) 19.6 ± 3.1 19.3 ± 1.9 19.6 ± 3.4 0.278
Year of study (%)
1st 44.2 50.6 42.3 0.162
2nd 16.2 29.8 12.2 <0.001
3rd 18.2 12.9 19.7 0.194
4th 20.8 5.19 25.2 <0.001
Living area (before enrollment) (%)
<50,000 habitats 28.6 36.7 29.2 0.201
>50,000 habitats 71.4 73.3 70.8 0.322
Department
Nursing (%) 34.7 28.5 36.4 0.201
History, Archaeology and Cultural Resources Management (%) 20.5 24.6 19.3 0.306
Philology (%) 25.4 22.0 26.3 0.443
Sports Organization and Management (%) 4.3 3.8 4.4 0.830
Other (%) 15 20.7 13.3 0.109
ΒΜΙ (kg/m2) a 22.0 (19.9–24.4) 23.7 (21.4–25.9) 21.6 (19.7–23.8) 0.002
Normal weight (%) b 69 44.5 70.3 0.317
Overweight (%) b 16.8 30 13 <0.001
Obese (%) b 2.9 1.3 3.3 0.368
Morbid obese (%) b 0.6 0 0.7 0.423
WC (cm) a 80.0 (74.0–89.0) 86.0 (79.0–90.7) 78.0 (72.0–89.0) <0.001
Increased WC (%) c 37.8 19.1 43.6 <0.001

a Transformations were applied to achieve normality (logBMI, 1/WC); b weight status categories were defined according to the criteria of the World Health Association [41]; c increased waist circumference was assessed by the International Diabetes Federation cut-offs [42]; means ± standard deviations for variables with normal distribution are shown. Medians and interquartile ranges (25th–75th) are shown for skewed variables. Categorical variables are displayed as absolute numbers and %. Student t-test was used to compare means of variables with a normal distribution. Mann–Whitney test was used to compare differences in non-normally distributed variables. Chi-square test was used to compare means of categorical variables. BMI: body mass index; WC: waist circumference.