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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