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. 2013 Aug 2;13:707. doi: 10.1186/1471-2458-13-707

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.