Table 2 Bivariate and multivariate logistic regression analyses predicting minimum dietary diversity among children aged 6–23 months in Enebsie Sar Midir Woreda, 2020 (n = 512)
Characteristics | Minimum DDS | COR (95%CI) | AOR (95%CI) | |
|---|---|---|---|---|
Yes | NO | |||
Marital Status ( n = 512) | ||||
Married | 89 | 425 | 1.00 | 1.00 |
Unmarried | 4 | 4 | 0.21 (0.05,0.87)* | 0.2 (0.01, 4.06) |
Residence ( n = 512) | ||||
Urban | 50 | 16 | 1.00 | 1.00 |
Rural | 43 | 403 | 29.29(15.37,55.81)*** | 0.98(0.05,21.05) |
Educational Status ( n = 512) | ||||
Higher education | 93 | 2 | 1.00 | 1.00 |
Illiterate | 36 | 364 | 96.0(21.5,43)*** | 0.24(0.005,11.03) |
Primary | 21 | 48 | 21.7(4.63,101)*** | 0.21(0.005,8.84) |
Secondary | 17 | 5 | 2.79(0.47,16.3) | 0.04(0.001,2.21) |
Current occupation ( n = 512) | ||||
House worker/housewife | 55 | 343 | 1.00 | 1.00 |
Office worker | 24 | 3 | 0.02(0.06,0.069)*** | 0.29(0.01,6.56) |
Daily laborer | 5 | 22 | 0.70(0.25,1.94) | 0.82(0.16,4.12) |
Merchant | 6 | 4 | 0.10(0.29,0.39)*** | 1.19(0.15,9.48) |
Farmer | 3 | 47 | 2.51(0.75,8.35) | 0.59(0.09,4.05) |
Your wife/husband Current occupation ( n = 512) | ||||
House worker/housewife | 8 | 44 | 1.00 | 1.00 |
Office worker | 36 | 2 | 0.010(0.002,0.05)*** | 0.07(0.004,1.23) |
Daily laborer | 0 | 10 | 293,722,702(0.000,) | 134,750,446.6(0.000) |
Merchant | 12 | 10 | 0.15(0.05,0.47)*** | 1.74(0.17,18.09) |
Farmer | 37 | 357 | 1.73(0.76,3.96) | 0.61(0.11,3.49) |
Household family size ( n = 512) | ||||
< 4 | 20 | 51 | 1.00 | 1.00 |
> = 4 | 73 | 368 | 1.97(1.11,3.51)*** | 0.69(0.22,2.23) |
Number of under 5 children’s (n = 512) | ||||
< 2 | 80 | 175 | 1.00 | 1.00 |
> = 2 | 13 | 244 | 8.58(4.63,15.91)*** | 2.12(0.82,5.46) |
Availability of media source at household ( n = 512) | ||||
Yes | 63 | 90 | 1.00 | 1.00 |
No | 30 | 329 | 7.67(4.68,12.57)*** | 0.001(0.001) |
Exposure to available media sources (n = 512) | ||||
Yes | 63 | 88 | 1.00 | 1.00 |
No | 30 | 331 | 7.89(4.81,12.9)*** | 313(0.000) |
Available Farmland ( n = 512) | ||||
No | 52 | 11 | 1.00 | 1.00 |
Yes | 41 | 408 | 47(22.77,97.1)*** | 10.15(1.78,57.95)*** |
Cultivating vegetables ( n = 512) | ||||
No | 80 | 400 | 1.00 | 1.00 |
Yes | 13 | 19 | 3.42(1.62,7.21)*** | 3.2(1.05,9.8)* |
Available livestock ( n = 512) | ||||
Yes | 43 | 401 | 1.00 | 1.00 |
No | 50 | 18 | 0.04(0.02,0.07)*** | 1.07(0.05,23.44) |
Having cow milk and feed the child ( n = 512) | ||||
No | 57 | 325 | 1.00 | 1.00 |
Yes | 36 | 94 | 2.18(1.36,3.52)*** | 17.27(6.73,44.44)*** |
Agroecology ( n = 512) | ||||
Dega | 9 | 107 | 1.00 | 1.00 |
Woyinadega | 74 | 190 | 0.22(0.1,0.45)*** | 1.15(0.4,3.3) |
Kola | 10 | 122 | 1.03(0.4,2.62) | 0.68(0.22,2.16) |
Wealth Index | ||||
Poor | 28 | 331 | 1.00 | 1.00 |
Rich | 65 | 88 | 0.12(0.69,0.19)*** | 1.06(0.43,2.65) |
Number of Animals ( n = 512) | ||||
0–5 | 76 | 108 | 1.00 | 1.00 |
6–10 | 7 | 110 | 11.06(4.88,25.07) | 6.46(1.97,21.12)** |
> 10 | 10 | 201 | 14.14(7.03, 28.47) | 15.12(4.31,53.05)*** |