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Table 3 Overall factors associated with anaemia among children in Namutumba district

From: Prevalence and factors associated with anaemia among children aged 6 to 59 months in Namutumba district, Uganda: a cross- sectional study

Variable

Anaemia

Bivariable analysis

Multivariable analysisa

Yes (Y = 221)

n (%age)

No (N = 155)

n (%age)

Crude PR (95% CI)

p- value

Adjusted PR (95%CI)

Child age in months

 48–59

15(45.5)

18(54.5)

1.00

  

 36–47

23(43.4)

30(56.6)

0.99 (0.85–1.15)

0.852

0.99 (0.91–1.06)

 24–35

49(55.1)

40(44.9)

1.07 (0.93–1.22)

0.352

0.92 (0.92–1.23)

 12–23

87(68.5)

40(31.5)

1.16 (1.02–1.32)

0.023

1.12 (1.05–1.19)

 6–11

47(63.5)

27(36.5)

1.12 (0.98–1.29)

0.089

1.12 (1.00–1.24)

respondent’s education level

 No education

40(71.4)

16(28.6)

1.00

  

 Primary

127(58.0)

92(42.0)

0.92 (0.85–0.99)

0.047

0.93 (0.87–0.99)

 Post primary

54(53.5)

47(46.5)

0.89 (0. 82–0.98)

0.021

0.89 (0.78–1.01)

Number of children

 1–3

118(65.6)

62(34.4)

1.00

  

 4–6

67(49.6)

68(50.4)

1.12 (1.04–1.21)

0.004

0.91 (0.82–1.01)

  ≥ 7

36(59.0)

25(41.0)

1.05 (0.95–1.16)

0.184

0.94 (0.89–0.99)

Number of household members

 1–5

109(64.5)

60(35.5)

1.00

  

 6–10

95(52.2)

87(47.8)

0.93 (0.87–0.99)

0.019

0.99 (0.97–1.02)

  > 10

17(68.0)

8(32.0)

1.02 (0.91–1.15)

0.725

1.06 (0.89–1.27)

Area of residence

 Bulange Sub-county

64(79.0)

17(21.0)

1.00

  

 Magada Sub-county

107(54.0)

91(46.0)

0.86 (0.81–0.92)

<0.001

0.89 (0.87–0.91)

 Namutumba Sub-county

50(51.6)

47(48.4)

0.85 (0.78–0.92)

<0.001

0.86 (0.85–0.88)

Height for Age

 Not Stunted

152(55.8)

120(44.1)

1.00

  

 Stunted

69(66.4)

35(33.6)

1.07 (0.99–1.14)

0.056

1.07 (1.02–1.12)

Food consumption score

 Acceptable

176(57.7)

129(42.3)

1.00

  

 Borderline

37(63.8)

21(36.2)

1.04 (0.96–1.13)

0.373

1.04(0.89–1.20)

 Poor

8(61.5)

5(38.5)

1.02 (0.87–1.21)

0.779

1.03 (0.95–1.13)

Fever past 3 months

 Yes

159(64.4)

88(35.6)

1.00

  

 No

62 (48.1)

67(51.9)

0.90 (0.841–0.965)

0.003

0.93 (0.85–1.01)

  1. aMultivariable analysis results after adjusting for correlation within sub-counties