Table 3.
Hierarchical Linear Regression Analyses Demonstrating Main and Interactive Effects of Sociodemographic Variables and EDS on PHQ-9 Scores.
| Predictor | n | b | eb | SE | p |
|---|---|---|---|---|---|
| Model 1. Age and EDS | |||||
| Age | 410 | −.01 | 0.99 | <.01 | <.01 |
| EDS | 410 | .07 | 1.07 | .01 | <.01 |
| Age * EDS | 410 | <.01 | 1.00 | <.01 | .80 |
| Model 2. Gender and EDS | |||||
| Gender | 411 | .12 | 1.12 | .09 | .20 |
| EDS | 411 | .07 | 1.07 | .01 | <.01 |
| Gender * EDS | 411 | <−.01 | 1.00 | .02 | .86 |
| Model 3. Income and EDS | |||||
| Income | 379 | −.06 | 0.94 | .02 | <.01 |
| EDS | 379 | .07 | 1.07 | .01 | <.01 |
| Income * EDS | 379 | .01 | 1.01 | .01 | .32 |
| Model 4. Acculturation and EDS | |||||
| Acculturation | 399 | .04 | 1.04 | .04 | .33 |
| EDS | 399 | .07 | 1.07 | .01 | <.01 |
| Acculturation * EDS | 399 | <.01 | 1.01 | .01 | .67 |
| Model 5. Education and EDS | |||||
| Education | 399 | −.03 | 0.97 | .02 | .15 |
| EDS | 399 | .07 | 1.07 | .01 | <.01 |
| Education * EDS | 399 | .01 | 1.01 | <.01 | .08 |
| Model 6. Health status and EDS | |||||
| Health status | 409 | −.28 | 0.76 | .04 | <.01 |
| EDS | 409 | .06 | 1.06 | .01 | <.01 |
| Health status * EDS | 409 | .02 | 1.02 | .01 | .06 |
Note. EDS = excessive daytime sleepiness; PHQ-9 = Patient Health Questionnaire-9; SE = standard error. Main effect statistics presented for each analysis are based on results of simultaneous linear regression models, as no interactions were statistically significant at α = .05.