Table 3 Multivariate logistic regression models identifying variables associated with Plasmodium spp. infections in the study population*
Predictive factors and type of infections | Initial model | Final model | ||
|---|---|---|---|---|
cOR [95% CI] | p-value | aOR [95% CI] | p-value | |
Predictive factors of Plasmodium spp. infections | ||||
Age (in years) | 0.98 [0.97; 0.99] | 0.008 | 0.98 [0.95; 0.99] | 0.048 |
Married, widower/widow, or divorced status | 0.63 [0.40; 0.98] | 0.023 | – | – |
Belonging to the ‘most economically disadvantaged’ households | 2.81 [1.86; 14.01] | < 0.001 | 2.87 [1.66; 20.07] | < 0.001 |
Frequency of putative clinical malaria episodes within the last 6 months | 0.94 [0.87; 1.02] | 0.124 | – | – |
No indoor insecticide spraying within the last month | 9.39 [1.58; 178.23] | 0.039 | – | – |
Predictive factors of P. falciparum infections | ||||
Age (in years) | 0.98 [0.97; 0.99] | 0.008 | 0.99 [0.97; 0.99] | 0.048 |
Belonging to ‘Most economically disadvantaged’ households | 2.90 [1.88; 17.81] | < 0.001 | 2.87 [1.60; 20.03] | < 0.001 |
Frequency of putative clinical malaria episodes within the last 6 months | 0.91 [0.84; 0.99] | 0.020 | – | – |
No indoor insecticide spraying within the last month | 7.04 [1.19; 133.62] | 0.040 | – | – |
Predictive factors of infections with non-falciparum species | ||||
Age (in years) | 0.98 [0.97; 1.00] | 0.085 | – | – |
Male gender | 1.95 [1.26; 3.04] | 0.003 | 1.83 [1.13; 2.96] | 0.014 |
Married, widower/widow, or divorced status | 0.61 [0.38; 0.97] | 0.036 | – | – |
Higher education level | 1.84 [1.05; 3.37] | 0.039 | 1.58 [0.87; 3.01] | 0.150 |
Belonging to the ‘most economically disadvantaged’ households | 4.83 [3.00; 7.97] | < 0.001 | 4.87 [3.01; 8.08] | < 0.001 |