Prevalence of diarrhea and associated factors among under-five children in Bahir Dar city, Northwest Ethiopia, 2016: a cross-sectional study

BMC Infect Dis. 2019 May 14;19(1):417. doi: 10.1186/s12879-019-4030-3.

Abstract

Background: In Ethiopia, morbidity and mortality due to diarrhea is significantly high. Most importantly, burden of diarrhea is disproportionately high among under-five children. Therefore, the objective of this study was to assess the prevalence and factors associated with diarrhea among children younger than 5 years old in Bahir Dar city, Northwest, Ethiopia, 2016.

Methods: This community-based cross-sectional study was conducted among under-five years-old children from March 24 to April 12, 2016. Systematic sampling technique was used to select 498 households. Data were collected by using an interviewer administered questionnaire. Both bivariate and multivariate logistic regression analyses were employed to identify predictor variables. Factors with a p-value of < 0.05 were considered as independently associated with diarrhea.

Results: The 2 weeks prevalence of diarrhea among under five children was 14.5%. Lack of hand washing facilities in the household (AOR = 3.910 (1.770, 8.634)), lack of separate feeding materials (AOR = 5.769 (1.591, 9.220)), poor hand washing practice (AOR = 6.104 (2.100, 17.738)) and not breastfeeding (AOR = 2.3 (1.023, 5.46)) were predictors of the concurrence of diarrhea.

Conclusions: The prevalence of diarrhea in the study area was slightly higher than the 2016, Ethiopian Demography and Health Survey finding which was 12%. Thus, improving handwashing facilities and practices, serving the food to the child with a separate materials and encourage optimal breastfeeding were recommended.

Keywords: Bahir Dar; Diarrhea; Ethiopia; Under -five children.

MeSH terms

  • Child, Preschool
  • Cross-Sectional Studies
  • Diarrhea / diagnosis*
  • Diarrhea / epidemiology
  • Ethiopia / epidemiology
  • Female
  • Hand Disinfection
  • Humans
  • Infant
  • Infant, Newborn
  • Logistic Models
  • Male
  • Mothers
  • Odds Ratio
  • Prevalence
  • Surveys and Questionnaires