Table 2.
Variables predicting attitudes toward eating.
| Predictor variables | Regression results | ||||
|---|---|---|---|---|---|
| B | β | t value | p value | CI 95% for B | |
| Regression #1: R2 = 0.028, F(2, 408) = 5.87, p < 0.003 | |||||
| Age, (year) | −0.14 | −0.15 | −2.81 | 0.005 | −0.24, −0.04 |
| Body mass index (BMI) | 0.24 | 0.14 | 2.74 | 0.006 | 0.07, 0.42 |
| Regression #2, Block 1: R2 = 0.01, F(7,744) = 1.10, p < 0.36 | |||||
| Sex, (F/M) | 1.39 | 0.55 | 1.46 | ns | |
| Father’s education level | −0.29 | −0.05 | −1.11 | ns | |
| Mother’s education level | −0.13 | −0.02 | <1 | ns | |
| Monthly family income | 0.25 | 0.03 | <1 | ns | |
| Occurrence of plastic surgery in the family and close relatives, (No/Yes) | 0.39 | 0.02 | <1 | ns | |
| Presence of friends dissatisfied with their body appearance, (Yes/No) | −0.29 | −0.01 | <1 | ns | |
| Number of children in the family | −0.29 | −0.04 | <1 | ns | |
| Regression #2, Block 2: ΔR2 = 0.034, F(5,739) = 5.22, p < 0.001 | |||||
| Sex satisfaction, (No/Yes) | −4.54 | −0.13 | −3.49 | <0.001 | −7.10, −1.99 |
| Social media usage (No/Yes) | −4.11 | −0.06 | −1.59 | ns | |
| Instagram usage (No/Yes) | −1.23 | −0.04 | <1 | ns | |
| Time duration of social media usage | 1.09 | 0.12 | 3.26 | 0.001 | 0.44,1.75 |
| Having traveled abroad in the last 5 years | 0.77 | 0.04 | 1.18 | ns | |
| Regression #2, Block 3: ΔR2 = 0.13, F(2,737) = 55.65, p < 0.001 | |||||
| Positive body image (PBIAS) | 0.088 | 0.14 | 3.07 | 0.002 | 0.03, 0.15 |
| Body esteem scale (BES) | −0.21 | −0.44 | −9.73 | <0.001 | −0.25, −0.17 |
B represents the unstandardized regression coefficient. β reflects the standardized regression coefficient. Bold values refers to significance levels.