OBJECTIVES: To present and compare socioeconomic status (SES) rankings of households using consumption and an asset-based index as two alternative measures of SES; and to compare and evaluate the performance of these two measures in multivariate analyses of the socioeconomic gradient in malaria prevalence. METHODS: Data for the study come from a survey of 557 households in 25 study villages in Tanzania in 2004. Household SES was determined using consumption and an asset-based index calculated using Principal Components Analysis on a set of household variables. In multivariate analyses of malaria prevalence, we also used two other measures of disease prevalence: parasitaemia and self-report of malaria or fever in the 2 weeks before interview. RESULTS: Household rankings based on the two measures of SES differ substantially. In multivariate analyses, there was a statistically significant negative association between both measures of SES and parasitaemia but not between either measure of SES and self-reported malaria. Age of individual, use of a mosquito net, and wall construction were negatively and significantly associated with parasitaemia, whilst roof construction was positively associated with parasitaemia. Only age remained significant when malaria self-report was used as the measure of disease prevalence. CONCLUSIONS: An asset index is an effective alternative to consumption in measuring the socioeconomic gradient in malaria parasitaemia, but self-report may be an unreliable measure of malaria prevalence for this purpose.
OBJECTIVES: To present and compare socioeconomic status (SES) rankings of households using consumption and an asset-based index as two alternative measures of SES; and to compare and evaluate the performance of these two measures in multivariate analyses of the socioeconomic gradient in malaria prevalence. METHODS: Data for the study come from a survey of 557 households in 25 study villages in Tanzania in 2004. Household SES was determined using consumption and an asset-based index calculated using Principal Components Analysis on a set of household variables. In multivariate analyses of malaria prevalence, we also used two other measures of disease prevalence: parasitaemia and self-report of malaria or fever in the 2 weeks before interview. RESULTS: Household rankings based on the two measures of SES differ substantially. In multivariate analyses, there was a statistically significant negative association between both measures of SES and parasitaemia but not between either measure of SES and self-reported malaria. Age of individual, use of a mosquito net, and wall construction were negatively and significantly associated with parasitaemia, whilst roof construction was positively associated with parasitaemia. Only age remained significant when malaria self-report was used as the measure of disease prevalence. CONCLUSIONS: An asset index is an effective alternative to consumption in measuring the socioeconomic gradient in malaria parasitaemia, but self-report may be an unreliable measure of malaria prevalence for this purpose.
Authors: Ravendra K Sharma; Mrigendra P Singh; Kalyan B Saha; Praveen K Bharti; Vidhan Jain; P P Singh; Nipun Silawat; R Patel; M Hussain; S K Chand; Arvind Pandey; Neeru Singh Journal: Indian J Med Res Date: 2015-05 Impact factor: 2.375
Authors: Lucy S Tusting; John C Rek; Emmanuel Arinaitwe; Sarah G Staedke; Moses R Kamya; Christian Bottomley; Deborah Johnston; Jo Lines; Grant Dorsey; Steve W Lindsay Journal: Am J Trop Med Hyg Date: 2016-01-25 Impact factor: 2.345
Authors: Tanya L Russell; Dickson W Lwetoijera; Bart G J Knols; Willem Takken; Gerry F Killeen; Louise A Kelly-Hope Journal: Malar J Date: 2013-01-18 Impact factor: 2.979