Table 5.
Bivariable and multivariable binary logistic regression analysis result for factors associated with hyperprolactinemia among study participants (n = 330).
| Variable | Category | Hyperprolactinemia | COR (95%CI) | AOR (95% CI) | P-value | |
|---|---|---|---|---|---|---|
| Yes | No | |||||
| Stress | Low level | 21 | 278 | Ref | ref | Ref |
| High level | 4 | 27 | 1.96(0.627–6.132) | 1.76(0.538-5.756) | 0.350 | |
| Presence of DM | No | 10 | 155 | Ref | Ref | Ref |
| Yes | 15 | 150 | 1.55(0.675–3.558) | 0.632(0.215- 1.859) | 0.404 | |
| Diet category | Low | 7 | 192 | Ref | ref | Ref |
| High | 18 | 113 | 3.56(1.489–8.513) | 3.213(1.253–8.239) | 0.015* | |
| Continues independent variable | ||||||
| Variable | COR (95% CI) | AOR (95% CI) | P-value | |||
| Fasting blood sugar | 1.009(1.002–1.015) | 1.009(1.001–1.017) | 0.029* | |||
| Follicle stimulating hormone | 0.954(0.889–1.025) | 0.953(0.884- 1.026) | 0.201 | |||
*= statistically significant, COR = crude odds ratio, AOR = adjusted odds ratio, CI: confidence interval, Ref = reference.