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Table 3 Multivariable logistic regression model on sociodemographic determinants of malaria

From: Prevalence and associated determinants of malaria parasites among Kenyan children

Variable Model I Model II
Unadjusted OR (95%CI) Adjusted OR (95%CI)
Age of children
 Under 5 years (ref) 1.00 1.00
 5–9 years 1.89*** (1.56, 2.29) 2.92*** (2.23, 3.82)
 10–14 years 2.23*** (1.83, 2.70) 4.47*** (3.33, 6.02)
Sex of children
 Male 1.05 (0.91, 1.21) 1.09 (0.89, 1.33)
 Female (ref) 1.00 1.00
Anemia levels of children
 Anemic 2.86*** (2.46, 3.32) 3.52*** (2.78, 4.45)
 Not anemic (ref) 1.00 1.00
Sex of household head
 Male 1.24*** (1.06, 1.45) 1.18 (0.95, 1.47)
 Female (ref) 1.00 1.00
Education of household head
 No education 1.94*** (1.53, 2.46) 1.56** (1.08, 2.25)
 Primary 2.80*** (2.29, 3.43) 1.82*** (1.35, 2.44)
 Secondary and higher (ref) 1.00 1.00
Household has electricity
 No 5.67*** (4.17, 7.71) 3.08*** (1.77, 5.34)
 Yes (ref) 1.00 1.00
Media exposure
Household has television
 No 4.80*** (3.66, 6.31) 1.63** (1.01, 2.63)
 Yes (ref) 1.00 1.00
Household has radio
 No 1.46*** (1.27, 1.69) 1.08 (0.86, 1.36)
 Yes (ref) 1.00 1.00
No. of living room
 One 1.09 (0.89, 1.33) 1.08 (0.81, 1.45)
 Two 1.44** (1.19, 1.75) 1.29** (0.99, 1.69)
 Three and more (ref) 1.00 1.00
Net is hanging for sleeping
 Not hanging 3.65*** (2.80, 4.75) 2.38*** (1.78, 3.19)
 Hanging (ref) 1.00 1.00
Residence
 Urban (ref) 1.00 1.00
 Rural 2.54*** (2.13, 3.03) 1.71*** (1.31, 2.22)
Wealth index
 Poor (lowest 40%) 3.67*** (2.93, 4.59) 1.12 (0.73, 1.72)
 Middle (40%) 3.08*** (2.38, 3.98) 1.04 (0.68, 1.58)
 Rich (ref) 1.00 1.00
  1. **p < 0.05, ***p < 0.01
  2. Variable included in the multivariate model (model II): malaria test result either test positive (coded 1) or test negative (coded 0) for both model I and model II. Age, sex, and anemia levels of children, sex and education of household head, household electricity status, media exposure, number of living room, net hanging status for sleeping, residence, and wealth index were used as independent variables in multivariate regression model (model II)