Table 2.
Binary logistic regression, unadjusted and adjusted results, with MDD/controls as dependent variable.
| Variables | Unadjusted results |
Adjusted resultsa |
Adjusted resultsb |
||||||
|---|---|---|---|---|---|---|---|---|---|
| OR | p-value | R2 | OR | p-value | R2 | OR | p-value | R2 | |
| 25(OH)D | 0.849 | 0.02* | 0.036 | 0.840 | <0.05* | 0.230 | 0.828 | 0.02* | 0.179 |
| BMI | 1.142 | <0.01** | 0.065 | 1.106 | 0.07 | 1.109 | 0.05* | ||
| Smoking | 0.314 | 0.06 | 0.031 | 0.289 | 0.06 | N/A | N/A | ||
| Season | 0.986 | 0.07 | 0.024 | 1.420 | 0.38 | N/A | N/A | ||
| Age | 1.017 | 0.22 | 0.011 | 1.003 | 0.82 | N/A | N/A | ||
| Sex | 1.590 | 0.23 | 0.011 | 1.665 | 0.23 | N/A | N/A | ||
| Somatic illness | 0.263 | <0.01** | 0.096 | 0.263 | <0.01** | 0.258 | <0.01** | ||
* Significant at the 0.05 level (2-tailed).
** Significant at the 0.01 level (2-tailed).
Acronyms: major depressive disorder (MDD), body mass index (BMI), odds ratio (OR).
Model I: All variables possibly affecting dependent variable; BMI, smoking, sampling season, age, sex, somatic illness.
Model II: Only significant variables, or close to significant, are included in the model.