We conducted a cross-sectional study to identify the socio-economic and env
ironmental protective/risk factors for severe malaria in Thailand. Forty-si
x cases of severe malaria, 72 cases of non-severe malaria with high parasit
e biomass and 40 mild malaria cases were included. When comparing severe ma
laria and non-severe malaria with high parasite biomass, specific logistic
regression models showed a significant protective effect for helminths, adj
usted odds ratio 0.24 (0.07-0.78) for low body mass index (BMI), adjusted o
dds ratio 0.11 (0.02-0.58). When comparing severe and mild malaria, a longe
r residence duration, adjusted odds ratio 0.36 (0.09-0.83) and the use of a
ntimalarial self-medication. adjusted odds ratio 0.08 (0.009-0.84) were ass
ociated with protection from severe malaria. Using stepwise logistic regres
sion with all the variables inserted in the model yielded similar results.
These findings suggest specific immunity and self-medication control parasi
te multiplication whereas helminths and malnutrition more specifically affe
ct the pathogenesis of severe malaria. (C) 2001 Elsevier Science B.V. All r
ights reserved.