Proximate family biosocial variables associated with severe malaria disease among under-five children in resource-poor setting of a rural hospital in eastern Nigeria

Autor: John N Ofoedu, Abali Chuku, Gabriel Uche Pascal Iloh, Agwu Nkwa Amadi
Jazyk: angličtina
Rok vydání: 2013
Předmět:
Zdroj: Journal of Family Medicine and Primary Care, Vol 2, Iss 3, Pp 256-262 (2013)
Journal of Family Medicine and Primary Care
ISSN: 2249-4863
Popis: Background: Malaria threatens the life of under-five in rural Nigerian families. Although, factors that influence malaria in under-five are manifold. However, family biosocial factors may contribute to the variability of the clinical picture. Aim: To determine proximate family biosocial variable associated with severe malaria among under-five children in a resource-poor setting of a rural hospital in Eastern Nigeria. Materials and Methods: A cross-sectional study carried out on the families of under-five managed for malaria. Data extracted included family biosocial variables and diagnosis. An under-five child was defined to have malaria if the mother gave complaints of fever, vomiting, and other symptoms suggestive of malaria, had body temperature exceeding 37.5°C with the asexual forms of Plasmodium falciparum detected on the peripheral blood film. Severe malaria is the malaria that presents with life-threatening features like severe anemia and cerebral malaria. Results: The prevalence of severe malaria was 31.8% The family biosocial variables significantly associated with severe malaria were maternal low level of education ( P = 0.031), family size >4 ( P = 0.044), low social class of the family ( P = 0.025), nonliving together of parents ( P = 0.011), and poor access to health facilities ( P = 0.038). The most significant predictor of severe malaria was nonliving together of parents ( P = 0.000, odds ratio = 3.08, confidence interval = 1.64-5.10). Conclusion: This study has demonstrated that some family biosocial variables are associated with severe malaria. These families should constitute at risk families that could be targeted for malaria interventional programs.
Databáze: OpenAIRE