Table 2.
Bivariate analysis.
| Independent Variables | Outcomes* | |||
|---|---|---|---|---|
| CESD | SIQ | |||
| Beta | p-value | OR | p-value | |
| ESS | 1.092 | <.0001 | 1.062 | 0.2143 |
| CESD | -- | -- | 1.064 | 0.0053 |
| SIQ | 0.637 | 0.0036 | -- | -- |
| Age | 0.994 | 0.1624 | 0.977 | 0.8395 |
| Gender (male vs. female) | −4.027 | 0.1571 | 0.353 | 0.0280 |
| BMI | −0.118 | 0.5290 | 0.977 | 0.4426 |
| Time in bed (hours) | −0.501 | 0.7067 | 0.617 | 0.0415 |
| Mental Illness (yes vs. no) | 7.139 | 0.1750 | 4.342 | 0.1903 |
| Rosenberg | −1.342 | <.0001 | 0.894 | 0.0412 |
| Sexual orientation (hetero vs. other) | −8.416 | 0.0284 | 0.354 | 0.1442 |
| Grade in school | 0.620 | 0.3888 | 0.908 | 0.4114 |
| Connected to Lumbee culture | −0.914 | 0.1163 | 0.993 | 0.9411 |
*
CESD is modeled with linear regression;
*
SIQ is dichotomized at 0 vs. 1+ and modeled with logistic regression (modeling the probability that SIQ = 1+).