Compliance with Iron-Folate Supplement and Associated Factors among Antenatal Care Attendant Mothers in Misha District, South Ethiopia: Community Based Cross-Sectional Study
Table 2
Multivariable logistic regression result of compliance with IFA supplement with independent variables in Misha district, South Ethiopia, May 2015.
Variables
Compliance with IFA supplement
COR (95% CI)
AOR (95% CI)
Noncompliant
Compliant
Age of mothers
<25
49 (76.6)
15 (23.4)
1
≥25
131 (56.5)
101 (43.5)
2.519 (1.336, 4.747)
2.985 (1.069,
Educational status
No education
33 (76.7)
10 (23.3)
1
Primary (grades 1–8)
98 (71.5)
39 (28.5)
1.313 (0.591, 2.920)
1.227 (0.425, 3.547)
Secondary (grades 9–12) and above
49 (42.2)
67 (57.8)
4.512 (2.032, 10.019)
2.382 (0.838, 6.768)
Occupation
Housewife
173 (65.3)
92 (34.7)
1
Others
7 (22.6)
24 (77.4)
6.447 (2.677, 15.529)
2.989 (0.773, 11.558)
Counseling on IFA
Yes
66 (42.9)
88 (57.1)
5.429 (3.220, 9.152)
4.093 (2.002,
No
114 (80.3)
28 (19.7)
1
Knowledge of anemia
Poor knowledgeable
112 (86.2)
18 (13.8)
1
Good knowledgeable
68 (41.0)
98 (59.0)
8.967 (4.991, 16.112)
4.451 (2.027,
Knowledge of IFA supplement
Poor knowledgeable
99 (86.8)
15 (13.2)
1
Good knowledgeable
81 (44.5)
101 (55.5)
8.230 (4.442, 15.248)
3.509 (1.442,
Frequency of ANC visits
<4 times
171 (65.5)
90 (34.5)
1
≥4 times
9 (25.7)
26 (74.3)
5.489 (2.467, 12.214)
3.558 (1.189,
Gravidity
Primigravida
23 (65.7)
12 (34.3)
1
Multigravida
157 (60.1)
104 (39.9)
1.545 (0.862, 2.766)
1.243 (0.566, 2.729)
Gestational age
2nd trimester
45 (78.9)
12 (21.1)
1
3rd trimester
135 (56.5)
104 (43.5)
2.889 (1.455, 5.738)
1.432 (0.560, 3.662)
Previous anemia
Yes
22 (40.0)
33 (60.0)
2.855 (1.565, 5.210)
2.373 (0.982, 5.738)
No
158 (65.6)
83 (34.4)
1
Monthly income
Low
63 (66.3)
32 (33.7)
1
Medium
61 (61)
39 (39)
0.632 (0.354, 1.128)
0.757 (0.295, 1.940)
High
56 (55.4)
45 (44.6)
0.796 (0.454, 1.395)
0.900 (0.364, 2.225)
Statistically significant at after being adjusted for other variables, 1 = reference. Note. Hosmer and Lemeshow Test = 0.948; therefore, the model adequately fits the data.
