Table 1.
Variable | Knowledge | AOR (95% CI) a | P value | Practice | AOR (95% CI) a | P value | ||
---|---|---|---|---|---|---|---|---|
Adequate (n=173) | Inadequate (n=111) | |||||||
Good (n=86) | Poor (n=198) | |||||||
Age, y | ||||||||
<30 | 76 | 70 | 1.00 | 43 | 83 | 1.00 | ||
31–40 | 54 | 31 | 27 | 94 | 2.04 (1.26–5.37) | 0.022 b | ||
>40 | 43 | 10 | 0.19 (0.23–0.65 | <0.001 b | 16 | 21 | ||
Parity | ||||||||
0 | 32 | 24 | 1.00 | 29 | 27 | 1.00 | ||
1 | 49 | 10 | 0.89 (0.22–3.45) | 0.491 | 21 | 38 | ||
2–4 | 41 | 71 | 1.01 (0.40–5.88) | 0.425 | 19 | 93 | 4.01 (0.55–6.88) | 0.601 |
≥5 | 51 | 6 | 0.24 (0.21–0.87) | 0.002 b | 17 | 40 | 3.11 (1.32–6.56) | 0.021 b |
Marital status | ||||||||
Single | 12 | 17 | 1.00 | 13 | 16 | 1.00 | ||
Married | 140 | 84 | 56 | 168 | 2.99 (1.40–6.33) | 0.035 b | ||
Divorced | 6 | 6 | 0.76 (0.56–1.72) | 0.151 | 5 | 7 | ||
Widowed | 15 | 4 | 0.39 (0.63–1.85) | 0.413 | 12 | 7 | ||
Educational attainment | ||||||||
No formal education | 4 | 25 | 6.30 (2.55–6.91) | 0.004 b | 5 | 24 | 6.73 (2.66–18.34) | 0.002 b |
Primary | 32 | 35 | 13 | 54 | 5.95 (3.02–14.39) | <0.001 b | ||
Secondary | 57 | 50 | 19 | 88 | 3.68 (0.87–6.44) | 0.051 | ||
Tertiary | 80 | 1 | 1.00 | 49 | 32 | 1.00 | ||
Area of residence | ||||||||
Urban | 141 | 32 | 1.00 | 61 | 112 | 1.00 | ||
Rural | 32 | 79 | 9.11 (5.67–0.01) | <0.001 b | 25 | 86 | 2.08 (1.32–4.05) | 0.031 b |
Occupation | ||||||||
Farming | 49 | 50 | 15 | 84 | 10.05 (3.89–28.03) | <0.001 b | ||
Artisan | 27 | 7 | 2.82 (0.02–0.77) | 0.021 b | 11 | 23 | 2.99 (1.30–10.93) | 0.030 b |
Trading | 36 | 34 | 17 | 53 | 5.87 (2.32–12.64) | 0.002 b | ||
Civil servant | 51 | 5 | 1.33 (1.11–5.40) | 0.231 | 27 | 29 | ||
Unemployed | 10 | 15 | 1.00 | 16 | 9 | 1.00 | ||
Husband’s educational level | ||||||||
No formal education | 5 | 11 | 1.11 (1.69–18.20) | 0.055 | 6 | 10 | ||
Primary | 43 | 57 | 1.95 (0.46–3.82) | 0.063 | 20 | 80 | 1.89 (0.37–2.55) | 0.059 |
Secondary | 77 | 22 | 16 | 83 | ||||
Tertiary | 48 | 21 | 1.00 | 44 | 25 | 1.00 |
Variables that showed significant associations on bivariate analysis were used in multivariate logistic regression to identify the independent predictors. Results are expressed as adjusted odd ratio (AOR), 1.00=Reference category.
Statistically significant on multivariate analysis.