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. 2019 Jul 9;18:228. doi: 10.1186/s12936-019-2859-y

Table 6.

Mixed-effects logistic regression model on determinants of malaria infection

Variable Unadjusted Adjusted
OR (95% CI) OR (95% CI)
Gender
 Male 1.22 (1.11, 1.34)*** 1.16 (1.05, 1.29)**
 Female 1.00 1.00
Age category (years)
 0–5  1.00 1.00
 6–9 1.13 (0.96, 1.33) 1.5 (1.25, 1.79)***
 10–15 1.56 (1.31, 1.85)*** 1.24 (1.03, 1.5)**
 > 15 0.37 (0.29, 0.46)*** 0.32 (0.25, 0.4)***
Usage of mosquito net
 No 1.00 1.00
 Yes 0.75 (0.67, 0.83)*** 0.74 (0.66, 0.84)***
Subject groupa
 Schoolchildren 2.26 (2.02, 2.53)***
 General community 1.00 1.00
Season (round of survey)
 Round 1 (August: dry and cool) 1.61 (1.4, 1.84)*** 1.98 (1.71, 2.3)***
 Round 2 (November: short rains) 1.71 (1.49, 1.96)*** 1.92 (1.65, 2.24)***
 Round 3 (February: dry and hot) 1.00 1.00
 Round 4 (May: long rains) 1.56 (1.36, 1.79)*** 1.69 (1.45, 1.96)***
Villagea
 Komtonga 25.14 (19.56, 32.3)***
 Mkindo 10.89 (8.52, 13.92)***
 Mbogo 8.96 (6.99, 11.48)***
 Dihombo 5.76 (4.48, 7.41)***
 Luhindo 4.9 (3.8, 6.33)***
 Dakawa 3.34 (2.56, 4.36)***
 Mtibwa 1.00
Water shaded area
 High 13.3 (10.59, 16.71)*** 15.77 (6.66, 37.36)***
 Medium–Low 4.66 (3.7, 5.88)*** 4.81 (2.03, 11.4)***
 Dry 1.00 1.00
Ecosystema
 Savannah 10.94 (8.73, 13.71)*** 1.00
 Rice-irrigation 4.12 (3.24, 5.24)***
 Sugarcane 1.00 1.00

***p < 0.001, **p < 0.01

aNot included in the multiple regression model due to high correlation or multicollinearity