Table 3.
Multiple logistic regression analysis examining relationship between variables and MOCA scores. Hosmer and Lemeshow (chi-square 9.96, p = 0.268).
| Variable | Odds ratio | Lower CI, upper CI |
p value |
|---|---|---|---|
| Age groups | 1.04 | 0.99, 1.09 | 0.140 |
| Sex (female versus male) | 0.59 | 0.24, 1.43 | 0.245 |
| Disease duration | 1.03 | 0.94, 1.12 | 0.558 |
| PHQ9 | 1.06 | 0.98, 1.14 | 0.137 |
| GAD7 | 0.99 | 0.91, 1.07 | 0.799 |
| Family history | 0.292 | 0.13, 0.65 | 0.003∗ |
| Education (bachelor or higher versus lower than bachelor degree) |
1.95 | 0.84, 4.56 | 0.122 |
| Education (elementary or lower versus bachelor degree) |
5.522 | 2.06, 31.56 | <0.001∗ |
| Employment status (unemployed versus employed) |
2.49 | 1.01, 3.61 | 0.011∗ |
| Homemaker versus employed | 1.08 | 0.32, 3.61 | 0.904 |
| Student versus employed | 0.371 | 0.11, 1.24 | 0.108 |
∗Indicates significant variables where p < 0.05.