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Literacy and recent history of diarrhoea are predictive of Plasmodium falciparum parasitaemia in Kenyan adults

Rodney L Coldren1 email, Trish Prosser2 email, Fredrick Ogolla3 email, Victor O Ofula4 email and Nicholas Adungo3 email

United States Army Medical Research Unit – Kenya, Mbagathi Rd, Nairobi, Kenya

Edith Cowan University, 100 Joondalup Drive, Joondalup, WA, Australia

Centre for Infectious and Parasitic Diseases Control Research, Kenya Medical Research Institute, Busia, Kenya

Centre for Clinical Research, Kenya Medical Research Institute, Mbagathi Rd, Nairobi, Kenya

author email corresponding author email

Malaria Journal 2006, 5:96doi:10.1186/1475-2875-5-96

Published: 1 November 2006

Abstract

Background

Malaria is one of the most serious health problems in Kenya. In 2004, the Kenya Medical Research Institute and the US Army Medical Research Unit – Kenya surveyed adults in Samburu, Malindi, and Busia districts to determine socioeconomic risk factors for infection.

Methods

Sociodemographic, health, and antimalarial data were collected along with blood for malaria testing. A smear was considered negative only if no Plasmodium falciparum parasites were observed in 100 high-powered fields. Univariate analysis was performed with Pearson's Chi-square test and univariate logistic regression. A multivariate logistic regression model was then created which included only variables found to be at least marginally significant in univariate analysis.

Results

A total of 1,141 subjects were recruited: 238 from Samburu, 442 from Malindi, and 461 from Busia. Smear positivities for P. falciparum were 1.7% in Samburu, 7.2% in Malindi and 22.3% in Busia. Interdistrict differences were statistically significant (p < 0.001) in univariate analysis and in a multivariate logistic regression model which included district, literacy, occupation, and recent illness as independent variables. In the model, literacy and recent diarrhoeal illness were positively and at least marginally significantly associated with parasitaemia (p = 0.023 and p = 0.067, respectively). Neither age, sex, occupation, history of malaria in the previous three months, nor use of antimalarials in the previous four weeks were significantly associated with parasitaemia.

Conclusion

While district of residence was the variable most highly predictive for parasitaemia among Kenyan adults surveyed, both a recent history of diarrhoeal illness and literacy were at least marginally statistically significant predictors.


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