Table 3.
Multivariate Analysis of Predictors for MAU using stepwise Logistic Regression
Variable | ß coefficient | Odds ratio (OR) | 95% CI for OR | Sig (p) | |
---|---|---|---|---|---|
Arms* | |||||
BMI >23 | 0.561 | 1.752 | 0.898 | 3.418 | 0.100 |
WHR >0.9 | 0.009 | 1.009 | 0.499 | 2.038 | 0.981 |
DM | 1.511 | 4.529 | 0.435 | 47.145 | 0.206 |
HTN | 0.559 | 1.749 | 0.558 | 5.484 | 0.338 |
TC >200 | − 0.694 | 0.500 | 0.146 | 1.715 | 0.270 |
Services** | |||||
HTN | 0.720 | 2.053 | 1.187 | 3.552 | 0.010 |
DM | 2.134 | 8.451 | 2.622 | 27.235 | 0.000 |
Total Population*** | |||||
BMI >23 | 0.492 | 1.540 | 1.067 | 2.223 | 0.021 |
HTN | 0.649 | 1.914 | 1.172 | 3.126 | 0.010 |
DM | 2.002 | 7.403 | 2.665 | 20.564 | 0.000 |
Backward stepwise analysis did not change the results as none of the predictors were significantly associated with MAU.
BMI, WHR and TC were found to be not significantly associated with MAU and were removed by the model from the equation (based on the LHR test).
WHR and TC were found to be not significantly associated with MAU and were removed by the model from the equation (based on the LHR test).