Table 5.

Predictors affecting the treatment outcomes of UTIs among the study population.

		Binary logistic regression				Multiple logistic regression
				95% CI				95% CI
Variables	N (%)	Odd ratio	p-value	Lower	Upper	Odd ratio	p-value	Lower	Upper
Gender
Male	181 (39.3)	Reference				Reference
Female	279 (60.7)	1.628	0.018*	1.089	2.434	1.529	0.044*	1.011	2.312
Age (years)
65–75	342 (74.3)	Reference				Reference
>75	118 (25.7)	1.580	0.042*	1.017	2.453	1.378	0.168	0.873	2.175
Marital status
Single	22 (4.8)	Reference
Married	256 (55.7)	0.452	0.078	0.187	1.092
Divorced	47 (10.2)	0.889	0.821	0.321	2.463
Widow	135 (29.3)	0.523	0.166	0.209	1.308
Race
Malay	127 (27.6)	Reference
Chinese	271 (58.9)	1.272	0.315	0.796	2.032
Indian	62 (13.5)	1.401	0.314	0.727	2.701
Home
Own Home	428 (93.0)	Reference
Old Care Home	32 (7.0)	0.877	0.748	0.395	1.948
Smoking
Smoker	148 (32.2)	Reference
Non-smoker	312 (67.8)	1.231	0.345	0.800	1.895
Alcohol
Alcoholic	142 (30.9)	Reference
Non-alcoholic	318 (69.1)	0.848	0.447	0.555	1.297
Polypharmacy
≤ 5	188 (40.9)	Reference				Reference
>5	272 (59.1)	0.647	0.033*	0.434	0.966	0.642	0.033*	0.426	0.966
Co-morbidities
Yes	336 (73.0)	Reference				Reference
No	124 (27.0)	2.004	0.002*	1.302	3.085	1.872	0.005*	1.205	2.907

*p < 0.05.