Table 4.
Multiple linear regression results for burnout dimensions.
| Predictor variable | Emotional exhaustion (EE) | Depersonalization (DP) | Personal accomplishment (PA) |
|---|---|---|---|
| Model statistics | |||
| R2 (R-squared) | 0.284*** | 0.198*** | 0.045* |
| Adjusted R2 | 0.270 | 0.182 | 0.026 |
| F-statistic | F(8,399) = 19.78*** | F(8,399) = 12.34*** | F(8,399) = 2.35* |
| Sample size (n) | 408 | 408 | 408 |
| Standardized coefficients (β) | |||
| Age | β = −0.089* | β = −0.067 | β = 0.043 |
| Gender (Female = 1) | β = 0.098* | β = −0.056 | β = −0.012 |
| Saudi national (Yes = 1) | β = 0.267*** | β = 0.298*** | β = −0.071 |
| Sales pressure frequency | β = 0.312*** | β = 0.218*** | β = 0.023 |
| Years of experience | β = −0.134** | β = −0.089* | β = 0.067 |
| Patient volume per day | β = 0.089* | β = 0.123** | β = 0.034 |
| Chain pharmacy (Yes = 1) | β = 0.076 | β = 0.054 | β = 0.087 |
| Night shift (Yes = 1) | β = 0.034 | β = 0.067 | β = 0.012 |
***p < 0.001; **p < 0.01, *p < 0.05. Note the dramatically different model performance: EE and DP models explain substantial variance while the PA model explains minimal variance, indicating different underlying mechanisms.