Table 1

Gender based distribution of independent variables
Independent variables Male Female p-value (chi-square)
N = 856 N = 544
N % N %
1. University type Public sector 486 56.8 289 53.1 0.186
Private 370 43.2 255 46.9
2. Faculties General (Art+ Science) 304 35.5 174 32 <0.001
Engineering 227 32.4 123 22.6
Medical sciences 148 17.3 199 36.6
Business and Administration 127 14.8 48 8.8
3. BMI Underweight 159 18.6 231 42.5 <0.001
Normal 478 55.8 237 43.6
Overweight 109 12.7 45 8.3
Obese 110 12.9 31 5.7
4. Self-perception Thin 245 28.6 113 20.8 0.001
Average 537 62.7 396 72.8
Fat 74 8.6 35 6.4

Table shows percentage and frequency distribution of different independent variables as observed in the two genders and the respective p-values of their chi square tests with gender.

Saleem et al.

Saleem et al. BMC Public Health 2013 13:707   doi:10.1186/1471-2458-13-707

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