Table 3B.
A multiple linear regression model predicting sleep-related daytime impairment among women veterans (N=1,391)
| Independent variables | Daytime impairment | |
|---|---|---|
| β (95% CI) | P value | |
| Age | −0.6 (−0.7, −0.5) | <0.001 |
| Caregiving status | 3.9 (0.3, 7.6) | 0.031 |
| Married | −1.6 (−4.6, 1.4) | 0.290 |
| White vs. others | 3.6 (0.3, 6.9) | 0.031 |
| African Americans vs. others | 1.5 (−2.1, 5.1) | 0.427 |
| Employed | −1.9 (−4.8, 1.1) | 0.208 |
| Pain scale | 3.0 (2.5, 3.5) | <0.001 |
| Self-rated health | 8.6 (6.9, 10.2) | <0.001 |
| Body mass index | −0.3 (−0.5, −0.1) | 0.004 |
F(9,1381) = 70.94; P < .001; R2 = 31.6%; Adjusted R2= 31.7%