Table 4.

Binary Logistic Regression Analysis for Factors Predicting Medication Adherence

Parameter	Non-Adherent, N (%)	Adherent, N (%)	OR	95% CI for OR Lower–Upper	P-value
Gender
Female	138 (39.2)	214 (60.8)	1
Male	141 (36.2)	248 (63.8)	1.134	0.842–1.527	0.407
Age
18–40 years	68 (48.6)	72 (51.4)	1
41–59 years	122 (35.5)	222 (64.5)	1.719	1.154–2.559
≥60 years	89 (34.6)	168 (65.4)	1.783	1.172–2.712	0.013*
Marital status
Married	233 (36.9)	399 (63.1)	1
Unmarried/divorced/widowed	46 (42.2)	63 (57.8)	0.800	0.529–1.209	0.289
Educational level
Uneducated	85 (43.8)	109 (56.2)	1
Primary or below	65 (39.9)	98 (60.1)	1.176	0.770–1.794
Secondary and higher secondary	95 (36.3)	167 (63.7)	1.371	0.938–2.003
Graduate and above	34 (27.9)	88 (72.1)	2.018	1.240–3.284	0.036*
BMI
Obese	109 (38.1)	177 (61.9)	1
Normal weight	157 (38.2)	254 (61.8)	0.996	0.730–1.359
Underweight	13 (29.5)	31 (70.5)	1.468	0.736–2.928	0.523
Profession
Retired/unemployed	53 (37.9)	87 (62.1)	1
Housewives	113 (37.9)	185 (62.1)	1.003	0.663–1.517
Officers	23 (29.5)	55 (70.5)	1.461	0.851–2.507
Clerical staff	23 (37.1)	39 (62.9)	1.036	0.588–1.824
Worker/labourer	58 (39.2)	90 (60.8)	0.948	0.632–1.420
Self-employed	9 (60)	6 (40)	0.407	0.141–1.174	0.376
Entitlement status
Non-entitled	178 (40.6)	260 (59.4)	1
Entitled	101 (33.3)	202 (66.7)	1.369	1.009–1.859	0.044*
Smoking status
Non-smoker	222 (37.9)	363 (62.1)	1
Smoker	40 (38.5)	64 (61.5)	0.979	0.637–1.503
Ex-smoker	17 (32.7)	35 (67.3)	1.259	0.689–2.301	0.743
Treatment duration
≤5 years	221 (44.4)	277 (55.6)	1
6–9 years	21 (28.8)	52 (71.2)	1.976	1.155–3.379
≥10 years	37 (21.8)	133 (78.2)	2.868	1.913–4.299	0.0001*
No. of medications
1	151 (49.8)	152 (50.2)
2	107 (31.5)	233 (68.5)
3	20 (20.6)	77 (79.4)	1.973	1.560–2.495	0.0001*
Comorbidities
No	233 (43.5)	303 (56.5)	1
Yes	46 (22.4)	159 (77.6)	2.658	1.836–3.848	0.0001*
BP control
Uncontrolled	192 (50.0)	192 (50.0)	1
Controlled	87 (24.4)	270 (75.6)	3.103	2.268–4.247	0.0001*

Note: *P<0.05.

Abbreviations: BMI, body mass index; BP, blood pressure.