Table 2.
Independent variables |
|
Yes |
No |
p-value (chi-square) |
||
---|---|---|---|---|---|---|
N = 856 |
N = 544 |
|
||||
N | % | N | % | |||
1. Gender |
Male |
371 |
43.3 |
485 |
56.7 |
0.406 |
Female |
223 |
41 |
321 |
59 |
||
2. BMI |
Underweight |
214 |
54.9 |
176 |
45.1 |
<0.001 |
Normal |
173 |
24.2 |
542 |
75.8 |
||
Overweight |
140 |
90.9 |
14 |
9.1 |
||
Obese |
67 |
47.5 |
74 |
52.5 |
||
3. University type |
Public Sector |
298 |
38.5 |
477 |
61.5 |
0.001 |
Private |
296 |
47.4 |
329 |
52.6 |
||
4. Faculty |
General (Art+ Science) |
200 |
41.8 |
278 |
58.2 |
0.001 |
Engineering |
192 |
48 |
208 |
52 |
||
Medical sciences |
149 |
42.9 |
198 |
57.1 |
||
Business Administration | 53 | 30.3 | 122 | 69.7 |
Table shows distribution of the independent variables with weight misperception (yes or no). P-values of chi square tests of misperception with the independent variables have been quoted as well.