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Table 3 Demographic, socio-economic and environmental factors associated with patterns of use of anti-malarial drugs

From: Factors determining anti-malarial drug use in a peri-urban population from malaria holoendemic region of western kenya

  Dependent variables
Drugs taken Dosage of use Duration of use
Independent variables
Age (A) β = 0.113, P = 0.230 β = 0.006, P = 0.949 β = 0.179, P = 0.050
Gender (G) β = 0.008, P = 0.872 β = 0.061, P = 0.235 β = 0.018, P = 0.722
Marital status (MS) β = 0.101, P = 0.341 β = 0.115, P = 0.279 β = 0.105, P = 0.322
Household size (HHS) β = 0.092, P = 0.049 β = 0.027, P = 0.606 β = 0.008, P = 0.873
Household head (HHH) β = 0.019, P = 0.726 β = 0.011, P = 0.841 β = 0.093, P = 0.047
Education level (EL) β = 0.018, P = 0.828 β = 0.132, P = 0.104 β = 0.057, P = 0.486
Household breadwinner (HHB) β = 0.008, P = 0.883 β = 0.086, P = 0.113 β = 0.071, P = 0.188
Household income source (HIS) β = 0.028, P = 0.597 β = 0.010, P = 0.846 β = 0.097, P = 0.050
Household monthly income (HHI) β = 0.037, P = 0.486 β = 0.113, P = 0.034 β = 0.064, P = 0.233
Ability to read (AR) β = 0.059, P = 0.268 β = 0.005, P = 0.926 β = 0.030, P = 0.570
Source of drug (SD) β = 0.113, P = 0.036 β = 0.013,P = 0.005 β = 0.029, P = 0.596
Distance to source (DS) β = 0.049, P = 0.373 β = 0.021, P = 698 β = 0.058, P = 0.293
Availability at source (AS) β = 0.092, P = 0.046 β = 0.002, P = 965 β = 0.060, P = 0.252
  1. Logistic regression analysis between the independent and dependant variables was used to identify variables associated with pattern of use of anti-malarial drugs, including demographic, socio-economic and environmental factors. P-values in bold were statistically significant at P ≤ 0.05. b = standard co-efficient. The result above shows that age, household size, source of drugs and availability of drugs at the source work together to influence types of anti-malarial that are taken in the households. Furthermore, household monthly income and source of drug work together to influence dosage of use; while age, household head and household income source work together to influence duration of use of these drugs.