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. 2019 Jun 25;2019:2139717. doi: 10.1155/2019/2139717

Table 3.

A conditional logistic regression showing association between anaemia and biologic, intermediate, and underlying factors.

Cases [N=70]
n (%)
Controls [N=140]
n (%)
COR (95%CI ) p-value AOR (95%CI ) p-value
Maternal age (in years)
40 and above 5 (7.1) 17 (12.1) Ref. Ref.
30 -39 35 (50.0) 49 (35.0) 2.24 (0.78,6.44) 0.132 2.55 (0.66,9.88) 0.175
20 – 29 26 (37.1) 70 (50.0) 1.10 (0.37,3.31) 0.863 0.76 (0.18,3.16) 0.707
< 20 4 (5.7) 4 (2.9) 3.40 (0.63,18.27) 0.155 4.69 (0.46,47.58) 0.191
Occupation
Unemployed 13 (18.6) 23 (16.4) Ref. Ref.
Civil servant 4 (5.7) 6 (4.3) 1.18 (0.28,4.97) 0.819 0.60 (0.10,3.74) 0.588
Farmer 13 (18.6) 39 (27.9) 0.65 (0.27,1.53) 0.324 0.17 (0.05,0.60) 0.006
Trader 26 (37.1) 35 (25.0) 1.05 (0.48,2.32) 0.903 0.21 (0.06,0.74) 0.014
Child iron supplementation
No 58 (82.9) 102 (72.9) Ref. Ref.
Yes 12 (17.1) 38 (27.1) 0.52 (0.24,1.13)0.099 0.47 (0.18,1.24) 0.126
Dietary diversity score
Good 33 (47.1) 106 (75.7) Ref. Ref.
Poor 37 (52.9) 34 (24.3) 3.89 (1.97,7.68)<0,001 9.15 (3.13,26.82) <0.001
Iron supplementation during pregnancy
No 3 (4.3) 16 (11.4) Ref. Ref.
Yes 67 (95.7) 124 (88.6) 2.93 (0.82,10.51) 0.100 7.64 (1.41,41.20) 0.018

Note.∗ signifies that p-value is significant at 0.05.