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Table 3 Comparing differences between crude analysis (simple logistic regression) and adjusted analysis (multiple logistic regression) on factors associated with anaemic children under-five, in Ghana, 2011

From: Determinant of factors associated with child health outcomes and service utilization in Ghana: multiple indicator cluster survey conducted in 2011

 

Crude analysis

Adjusted analysis

Covariates/exposure

OR (95% CI)

p-value

OR (95%)

p-value

NHIS membership (main exposure variable)

    

  No

1

1

1

0.000***

  Yes

0.59 (0.49-0.72)

0.000***

0.36 (0.23-0.55)

 

Sex

    

  Male

1

1

1

0.286

  Female

0.74 (0.63-0.88)

0.001**

0.79 (0.51-1.22)

 

Age in months

    

  6–11

1

0.034*

1

0.638

  12–23

1.25 (0.91-1.71)

 

0.69 (0.15-0.19)

 

  24–35

0.70 (0.50-0.97)

 

0.51 (0.12-2.16)

 

  36–47

0.62 (0.48-0.84)

 

0.51 (0.13-2.06)

 

  48-59

0.51 (0.36-0.71)

 

0.30 (0.07-1.28)

 

Mothers education

    

  None

1

0.000***

1

0.02*

  Primary

0.70 (0.55-0.89)

 

0.83 (0.63-1.10)

 

  Secondary

0.45 (0.36-0.57)

 

0.64 (0.49-0.83)

 

  Tertiary

0.33 (0.24-0.47)

 

0.68 (0.45-1.02)

 

Geographic location

    

  Rural

1

1

1

0.396

  Urban

0.53 (0.46-0.65)

0.000***

0.79 (0.47-1.35)

 

Socioeconomic status

    

  Poorest

1

0.000***

1

0.000***

  Second

0.63 (0.49-0.18)

 

0.66 (0.37-1.18)

 

  Middle

0.46 (0.34-0.63)

 

0.37 (0.20-0.69)

 

  Fourth

0.33 (0.24-0.45)

 

0.39 (0.20-0.76)

 

  Richest

0.21 (0.15-0.28)

 

0.13 (0.07-0.25)

 
  1. *p < 0.05, **p < 0.01, ***p < 0.001 significant levels.