Journal of Obesity / 2015 / Article / Tab 3

Research Article

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.

OR95% CI value

A desire to be thinner (0 = satisfied and 1 = desires a thinner body than perceived)
Activity levels
 Low active0.037
 Moderately active1.741.0962.7570.019
 High active1.070.6821.6820.766
Presence of obese parents
 None of the parents is obese0.001
 Mother or father is obese2.701.3335.4590.006
 Both parents are obese1.480.7183.0600.287
Fathers’ level of education
 Primary or less0.037
 Primary higher1.891.0013.5550.049
 Secondary2.161.2163.8260.009
 Bachelor or higher1.691.0192.7890.042
Households’ monthly income
 5001–10 000 SAR0.004
 3000 SAR or less2.661.0736.5730.035
 3001–5000 SAR0.960.5211.7780.902
 10 001–15 000 SAR0.820.4691.4460.499
 More than 15 000 SAR1.931.1203.3080.018
Cars in the household
 Two cars0.067
 One car or none0.910.4102.0120.813
 Three cars or more1.571.0292.3900.036
Kind of residence
 Apartment0.108
 Villa1.870.5126.8520.343
 One floor in villa3.100.90410.6420.072
 Traditional house3.581.02012.5540.047

A desire to be heavier (0 = satisfied and 1 = desires a heavier body than perceived)
Number of sisters
 None0.144
 Only one2.050.5777.2560.267
 Two-three0.910.3892.1230.825
 Four-five1.951.0823.5240.026
 Six or more1.520.8672.6700.143
Cars in the household
 Two cars0.037
 One car or less1.360.5333.4440.524
 Three cars or more1.861.1563.0010.011

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.

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