Delayed breast feeding initiation increases the odds of colostrum avoidance among mothers in Northwest Ethiopia: a community-based cross-sectional study

Colostrum is a yellowish and sticky breast milk produced in late pregnancy. Annually, 60% of 10.9 million under-five deaths globally are due to malnutrition. Of these, over two-thirds of the deaths are accounted by sub-optimal feeding practices in the first year of life, including colostrum discardi...

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Bibliographic Details
Published in:Archives of public health = Archives belges de santé publique 2021-04, Vol.79 (1), p.44-44, Article 44
Main Authors: G/Slassie, Maezu, Azene, Zelalem Nigussie, Mulunesh, Abuhay, Alamneh, Tesfa Sewunet
Format: Article
Language:English
Subjects:
Associated factors
Breast feeding
Breast milk
Breastfeeding & lactation
Colostrum avoidance
Cross-sectional studies
Data analysis
Data collection
Developing countries
Discard
Ethiopia
Health services
Households
Infants
LDCs
Malnutrition
Maternal & child health
Newborn babies
Population
Pregnancy
Pregnant women
Principal components analysis
Public health
Questionnaires
Sample size
Sociodemographics
Supervisors
Variables
Woman who gave birth in the last six months
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Summary:Colostrum is a yellowish and sticky breast milk produced in late pregnancy. Annually, 60% of 10.9 million under-five deaths globally are due to malnutrition. Of these, over two-thirds of the deaths are accounted by sub-optimal feeding practices in the first year of life, including colostrum discarding. However, evidence on the magnitude of colostrum avoidance and its associated factors at the community level is very limited in Ethiopia, particularly in the study area. Thus, this study aimed to assess the magnitude of colostrum avoidance and associated factors among mothers who gave birth in the last six months in Gozamen district, northwest Ethiopia, 2019. A community-based cross-sectional study was conducted among 741 (741) mothers who gave birth in the last six months in Gozamen district from August 1 to September 12, 2019. A stratified cluster sampling technique was used to select the study participants. Data were collected by face-to-face interviewer-administered, pretested, and semi-structured questionnaire. Binary logistic regressions (bi-variable and multivariable) were fitted to identify statistically significant variables. Adjusted Odds Ratio (AOR) with 95% Confidence Interval (CI) was used to declare statistically significant variables on the basis of p-value
ISSN:0778-7367
2049-3258
2049-3258
DOI:10.1186/s13690-021-00571-x