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Ethiop Med J ; 38(1): 27-34, 2000 Jan.
Artigo em Inglês | MEDLINE | ID: mdl-11144877

RESUMO

A population-based cross-sectional study on diarrheal morbidity was carried out in thirty two rural and urban areas of Keffa-Sheka zone, to determine the prevalence of diarrhea in under-5 children and identify environmental risk factors. A total of 952 children between the ages of 0 and 59 months living in the sampled households formed the study population. Data collected include demographic characteristics of the child, and information on environmental and housing variables. The overall diarrheal prevalence was 15%. Acute watery diarrhea, dysentery, and persistent diarrhea were responsible for 66%, 20%, and 14% of the episodes, respectively. Overall a third of the diarrheal episodes were bloody and/or persistent. Young age, male gender, living in a house with fewer number of rooms, and obtaining water from storage containers by dipping showed statistically significant association with diarrheal morbidity (p < 0.05). Type of water source, amount of water consumed, and latrine availability were not found to be significant risk factors (p > 0.05). Diarrhea, particularly dysentery and/or persistent diarrhea, affect a large proportion of children. Water is scarce and the environmental status of the area is generally poor. Efforts to educate the community about correct water handling behavior, personal and domestic hygiene should also be important components of the diarrhea control strategy. Further study on other environmental determinants, socio-demographic factors, feeding patterns and immunization status of children, and ORS accessibility is also recommended.


Assuntos
Diarreia Infantil/epidemiologia , Diarreia Infantil/etiologia , Exposição Ambiental/efeitos adversos , Distribuição por Idade , Pré-Escolar , Estudos Transversais , Diarreia Infantil/prevenção & controle , Etiópia/epidemiologia , Feminino , Habitação/estatística & dados numéricos , Humanos , Lactente , Recém-Nascido , Masculino , Morbidade , Vigilância da População , Prevalência , Fatores de Risco , Saneamento/estatística & dados numéricos , Distribuição por Sexo , Fatores Socioeconômicos , Abastecimento de Água/estatística & dados numéricos
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