Table 4.
Binary logistic regression analysis of uncontrolled blood pressure
Variables | B | S.E. | Wald | df | p-value | OR | 95% CI for OR |
|
---|---|---|---|---|---|---|---|---|
Lower | Upper | |||||||
Comorbidity severity | ||||||||
Mild (reference) | - | |||||||
Moderate | -0.181 | 0.381 | 0.225 | 1 | 0.635 | 0.835 | 0.396 | 1.76 |
Severe | 1.074 | 0.435 | 6.104 | 1 | 0.013 | 2.926 | 1.248 | 6.858 |
Sleep quality | ||||||||
Good (reference) | - | |||||||
Poor | 0.731 | 0.344 | 4.517 | 1 | 0.034 | 2.076 | 1.059 | 4.073 |
Method = Forward LR | ||||||||
Hosmer and Lemeshow test χ2 = .905, df = 4, p = .924 | ||||||||
Cox & Snell R2 = .094, Nagelkerke R2 = .128 | ||||||||
Classification Accuracy = 66.5% |
B: coefficient; S.E.: standard errors of coefficient; df: degree of freedom; OR: odds ratio; CI: confidence interval