Perceived and Ideal Body Image in Young Women in South Western Saudi Arabia
Table 3
Results from the multiple logistic regression analysis (backward conditional) for “a desire to be thinner” () and “a desire to be heavier” (). Only variables with statistical significance ( value < 0.05) are presented here.
OR
95% CI
value
A desire to be thinner (0 = satisfied and 1 = desires a thinner body than perceived)
Activity levels
Low active
0.037
Moderately active
1.74
1.096
2.757
0.019
High active
1.07
0.682
1.682
0.766
Presence of obese parents
None of the parents is obese
0.001
Mother or father is obese
2.70
1.333
5.459
0.006
Both parents are obese
1.48
0.718
3.060
0.287
Fathers’ level of education
Primary or less
0.037
Primary higher
1.89
1.001
3.555
0.049
Secondary
2.16
1.216
3.826
0.009
Bachelor or higher
1.69
1.019
2.789
0.042
Households’ monthly income
5001–10 000 SAR
0.004
3000 SAR or less
2.66
1.073
6.573
0.035
3001–5000 SAR
0.96
0.521
1.778
0.902
10 001–15 000 SAR
0.82
0.469
1.446
0.499
More than 15 000 SAR
1.93
1.120
3.308
0.018
Cars in the household
Two cars
0.067
One car or none
0.91
0.410
2.012
0.813
Three cars or more
1.57
1.029
2.390
0.036
Kind of residence
Apartment
0.108
Villa
1.87
0.512
6.852
0.343
One floor in villa
3.10
0.904
10.642
0.072
Traditional house
3.58
1.020
12.554
0.047
A desire to be heavier (0 = satisfied and 1 = desires a heavier body than perceived)
Number of sisters
None
0.144
Only one
2.05
0.577
7.256
0.267
Two-three
0.91
0.389
2.123
0.825
Four-five
1.95
1.082
3.524
0.026
Six or more
1.52
0.867
2.670
0.143
Cars in the household
Two cars
0.037
One car or less
1.36
0.533
3.444
0.524
Three cars or more
1.86
1.156
3.001
0.011
Reference category for further statistical analysis. OR: odds ration and CI: confidence interval. Entered variables: age; marital status; number of sisters; number of brothers; fathers’ level of education; mothers’ level of education; number of cars in the household; kind of residence; households’ monthly income; presence of obese parents; time spent in front of TV; time spent in front of computer; number of sleeping hours; activity levels based on METs tertiles; and occupational status of parents.
