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Why is malaria associated with poverty? Findings from a cohort study in rural Uganda

BACKGROUND: Malaria control and sustainable development are linked, but implementation of ‘multisectoral’ intervention is restricted by a limited understanding of the causal pathways between poverty and malaria. We investigated the relationships between socioeconomic position (SEP), potential determ...

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Autores principales: Tusting, Lucy S., Rek, John, Arinaitwe, Emmanuel, Staedke, Sarah G., Kamya, Moses R., Cano, Jorge, Bottomley, Christian, Johnston, Deborah, Dorsey, Grant, Lindsay, Steve W., Lines, Jo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4972958/
https://www.ncbi.nlm.nih.gov/pubmed/27488674
http://dx.doi.org/10.1186/s40249-016-0164-3
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author Tusting, Lucy S.
Rek, John
Arinaitwe, Emmanuel
Staedke, Sarah G.
Kamya, Moses R.
Cano, Jorge
Bottomley, Christian
Johnston, Deborah
Dorsey, Grant
Lindsay, Steve W.
Lines, Jo
author_facet Tusting, Lucy S.
Rek, John
Arinaitwe, Emmanuel
Staedke, Sarah G.
Kamya, Moses R.
Cano, Jorge
Bottomley, Christian
Johnston, Deborah
Dorsey, Grant
Lindsay, Steve W.
Lines, Jo
author_sort Tusting, Lucy S.
collection PubMed
description BACKGROUND: Malaria control and sustainable development are linked, but implementation of ‘multisectoral’ intervention is restricted by a limited understanding of the causal pathways between poverty and malaria. We investigated the relationships between socioeconomic position (SEP), potential determinants of SEP, and malaria in Nagongera, rural Uganda. METHODS: Socioeconomic information was collected for 318 children aged six months to 10 years living in 100 households, who were followed for up to 36 months. Mosquito density was recorded using monthly light trap collections. Parasite prevalence was measured routinely every three months and malaria incidence determined by passive case detection. First, we evaluated the association between success in smallholder agriculture (the primary livelihood source) and SEP. Second, we explored socioeconomic risk factors for human biting rate (HBR), parasite prevalence and incidence of clinical malaria, and spatial clustering of socioeconomic variables. Third, we investigated the role of selected factors in mediating the association between SEP and malaria. RESULTS: Relative agricultural success was associated with higher SEP. In turn, high SEP was associated with lower HBR (highest versus lowest wealth index tertile: Incidence Rate Ratio 0.71, 95 % confidence intervals (CI) 0.54–0.93, P = 0.01) and lower odds of malaria infection in children (highest versus lowest wealth index tertile: adjusted Odds Ratio 0.52, 95 % CI 0.35–0.78, P = 0.001), but SEP was not associated with clinical malaria incidence. Mediation analysis suggested that part of the total effect of SEP on malaria infection risk was explained by house type (24.9 %, 95 % CI 15.8–58.6 %) and food security (18.6 %, 95 % CI 11.6–48.3 %); however, the assumptions of the mediation analysis may not have been fully met. CONCLUSION: Housing improvements and agricultural development interventions to reduce poverty merit further investigation as multisectoral interventions against malaria. Further interdisplinary research is needed to understand fully the complex pathways between poverty and malaria and to develop strategies for sustainable malaria control. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s40249-016-0164-3) contains supplementary material, which is available to authorized users.
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spelling pubmed-49729582016-08-05 Why is malaria associated with poverty? Findings from a cohort study in rural Uganda Tusting, Lucy S. Rek, John Arinaitwe, Emmanuel Staedke, Sarah G. Kamya, Moses R. Cano, Jorge Bottomley, Christian Johnston, Deborah Dorsey, Grant Lindsay, Steve W. Lines, Jo Infect Dis Poverty Research Article BACKGROUND: Malaria control and sustainable development are linked, but implementation of ‘multisectoral’ intervention is restricted by a limited understanding of the causal pathways between poverty and malaria. We investigated the relationships between socioeconomic position (SEP), potential determinants of SEP, and malaria in Nagongera, rural Uganda. METHODS: Socioeconomic information was collected for 318 children aged six months to 10 years living in 100 households, who were followed for up to 36 months. Mosquito density was recorded using monthly light trap collections. Parasite prevalence was measured routinely every three months and malaria incidence determined by passive case detection. First, we evaluated the association between success in smallholder agriculture (the primary livelihood source) and SEP. Second, we explored socioeconomic risk factors for human biting rate (HBR), parasite prevalence and incidence of clinical malaria, and spatial clustering of socioeconomic variables. Third, we investigated the role of selected factors in mediating the association between SEP and malaria. RESULTS: Relative agricultural success was associated with higher SEP. In turn, high SEP was associated with lower HBR (highest versus lowest wealth index tertile: Incidence Rate Ratio 0.71, 95 % confidence intervals (CI) 0.54–0.93, P = 0.01) and lower odds of malaria infection in children (highest versus lowest wealth index tertile: adjusted Odds Ratio 0.52, 95 % CI 0.35–0.78, P = 0.001), but SEP was not associated with clinical malaria incidence. Mediation analysis suggested that part of the total effect of SEP on malaria infection risk was explained by house type (24.9 %, 95 % CI 15.8–58.6 %) and food security (18.6 %, 95 % CI 11.6–48.3 %); however, the assumptions of the mediation analysis may not have been fully met. CONCLUSION: Housing improvements and agricultural development interventions to reduce poverty merit further investigation as multisectoral interventions against malaria. Further interdisplinary research is needed to understand fully the complex pathways between poverty and malaria and to develop strategies for sustainable malaria control. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s40249-016-0164-3) contains supplementary material, which is available to authorized users. BioMed Central 2016-08-04 /pmc/articles/PMC4972958/ /pubmed/27488674 http://dx.doi.org/10.1186/s40249-016-0164-3 Text en © The Author(s). 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Tusting, Lucy S.
Rek, John
Arinaitwe, Emmanuel
Staedke, Sarah G.
Kamya, Moses R.
Cano, Jorge
Bottomley, Christian
Johnston, Deborah
Dorsey, Grant
Lindsay, Steve W.
Lines, Jo
Why is malaria associated with poverty? Findings from a cohort study in rural Uganda
title Why is malaria associated with poverty? Findings from a cohort study in rural Uganda
title_full Why is malaria associated with poverty? Findings from a cohort study in rural Uganda
title_fullStr Why is malaria associated with poverty? Findings from a cohort study in rural Uganda
title_full_unstemmed Why is malaria associated with poverty? Findings from a cohort study in rural Uganda
title_short Why is malaria associated with poverty? Findings from a cohort study in rural Uganda
title_sort why is malaria associated with poverty? findings from a cohort study in rural uganda
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4972958/
https://www.ncbi.nlm.nih.gov/pubmed/27488674
http://dx.doi.org/10.1186/s40249-016-0164-3
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