Table 5.
The predictors of MMG performance.
| Variables | COR (95% CI) | P-value | AOR (95% CI) | P-value |
|---|---|---|---|---|
| Age | 1.309 (1.137–1.507) | < 0.001** | 1.418 (1.116–1.801) | 0.004* |
| Income | 1.002 (1.000–1.003) | 0.031** | 1.001(0.999–1.003) | 0.280 |
| Marital status | ||||
| Married | 1.231 (0.251–6.032) | 0.798 | ||
| Single | 1.00 (ref) | |||
| Education | ||||
| Undergraduate and diploma | 0.242 (0.057–1.031) | 0.055** | 0.397 (0.041–3.821) | 0.424 |
| Postgraduate | 1.00 (ref) | |||
| Family history | ||||
| Yes | 2.000 (0.489–8.182) | 0.335 | ||
| No | 1.00 (ref) | |||
| Knowledge | 1.375 (1.167–1.620) | < 0.001** | 1.478 (1.144–1.910) | 0.003* |
| CHBMS subscale | ||||
| Susceptibility | 1.135 (0.921–1.399) | 0.233 | ||
| Seriousness | 1.076 (0.929–1.246) | 0.327 | ||
| Benefit of MMG | 1.133 (0.979–1.311) | 0.093** | 0.892 (0.663–1.201) | 0.453 |
| Barriers of MMG | 0.639 (0.460–0.887) | 0.008** | 0.524 (0.263–1.043) | 0.066 |
| Motivation | 1.063 (0.904–1.250) | 0.459 | ||
*Significant for multiple logistic regression model (p < 0.05), ** Significant for simple logistic regression model (p ≤ 0.25). COR, Crude odds ratio; AOR, adjusted odds ratio; Assumptions of logistic regression have been met and the Hosmer–Lemeshow goodness-of-fit test indicated good fit (X2 = 12.0, p = 0.150); Negelkerke R2 = 0.223, variance inflation factors (VIF) are less than five for all variables included in this model.