Table 7.
Factors associated with nutraceutical use (using multiple logistic regression).
| Variable | Crude OR (95% CI) | Adjusted OR (95% CI) | x2 (df) | p value |
|---|---|---|---|---|
| Gender | 1.941 (1.057, 3.564) | 2.255 (1.208, 4.212) | 4.682 (1) | 0.011 |
| Age in years∗ | 1.024 (1.001, 1.048) | 1.015 (0.987, 1.044) | 2.053 | 0.298 |
| Race | 1.179 (0.643, 2.162) | 0.285 (1) | 0.594 | |
| Marital status | 1.162 (0.667, 2.025) | 0.281 (1) | 0.597 | |
| Education | 1.224 (0.683, 2.196) | 0.463 (1) | 0.497 | |
| Work | 1.111 (0.600, 2. 059) | 0.112 (1) | 0.738 | |
| Morbidities | 1.948 (1.110, 3.420) | 2.237 (1.255, 3.990) | 5.511 (1) | 0.006 |
| Self-perceived health status | 1.155 (0.382, 3.496) | <0.001 (1) | 0.798 | |
| Knowledge | 1.089 (0.620, 1.195) | 0.089 (1) | 0.766 | |
| Attitude | 1.051 (0.603, 1.832) | 0.031 (1) | 0.860 |
∗ Age found to be confounder in adjusted analysis.