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Table 2 Influence of socioeconomic and sociodemographic factors on malaria in a multivariate logistic regression analysis.

From: Principal component analysis of socioeconomic factors and their association with malaria in children from the Ashanti Region, Ghana

   

Stepwise logistic Regression

Determinants

OR1

CI

p-value

OR1

CI

p-value

Reference*

1

     

Economic status2

      

   'average'

0.88

0.66 - 1.16

0.35

0.88

0.67-1.15

0.34

   'rich'

0.56

0.41 - 0.76

< 0.001

0.56

0.42-0.75

< 0.001

Use of protection measures3

0.71

0.51 - 1.00

0.05

0.72

0.51-1.00

0.05

Age < 1 - ≤ 5 years

3.34

2.57-4.36

< 0.001

3.39

2.61-4.40

< 0.001

Age > 5 years

2.10

1.52 - 2.88

< 0.001

2.04

1.51-2.75

< 0.001

Place of Residence

      

   West of Agogo

0.77

0.43 - 1.37

0.38

0.78

0.44-1.37

0.38

   Near street

0.52

0.37 - 0.74

< 0.001

0.51

0.36-0.72

< 0.001

   Greater Konongo

0.39

0.28- 0.53

< 0.001

0.39

0.29-0.54

< 0.001

Ethnic group

0.90

0.63 - 1.29

0.58

   

Number of children

1.19

0.87- 1.64

0.28

   

Sex

0.88

0.70 - 1.10

0.26

   

Mother's age

1.02

0.78-1.33

0.91

   
  1. *Reference: Economic status ‚poor', no use of protection measures, age ≤ 1 year, place of residence ‚Greater Agogo', Ethnic group ‚Northeners, > 4 children, sex: male, mother age ≤ 30 years of age.
  2. 1Odds ratio mutually adjusted with all other variables in a multivariable logistic regression
  3. 2Economic status classified by using factor 1 of PCA (Table 1)
  4. 3Reported protection measures such as bed net or window fences