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Prevalence and determinants of pre-lacteal feeding in South Sudan: a community-based survey

Background: Pre-lacteal feeding (PLF) is a barrier to optimal breastfeeding and increases the risk of diarrhoea and acute respiratory tract infections in infants.The prevalence and predictors of PLF are not well studied in South Sudan. Understanding the predictors of PLF is crucial in designing inte...

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Autores principales: Tongun, Justin Bruno, Sebit, Mohamedi Boy, Ndeezi, Grace, Mukunya, David, Tylleskar, Thorkild, Tumwine, James K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6179051/
https://www.ncbi.nlm.nih.gov/pubmed/30295171
http://dx.doi.org/10.1080/16549716.2018.1523304
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author Tongun, Justin Bruno
Sebit, Mohamedi Boy
Ndeezi, Grace
Mukunya, David
Tylleskar, Thorkild
Tumwine, James K.
author_facet Tongun, Justin Bruno
Sebit, Mohamedi Boy
Ndeezi, Grace
Mukunya, David
Tylleskar, Thorkild
Tumwine, James K.
author_sort Tongun, Justin Bruno
collection PubMed
description Background: Pre-lacteal feeding (PLF) is a barrier to optimal breastfeeding and increases the risk of diarrhoea and acute respiratory tract infections in infants.The prevalence and predictors of PLF are not well studied in South Sudan. Understanding the predictors of PLF is crucial in designing interventions to increase exclusive breastfeeding (EBF) rates. Objective: To assess the prevalence and factors associated with PLF in Jubek State, South Sudan. Method: This was a community based cross-sectional study of 810 mothers of children under two years of age in Jubek State, South Sudan. Mothers were interviewed in their homes using a semi-structured questionnaire to collect data on PLF, socio-demographic and birth characteristics. Multivariable analysis was used to identify factors independently associated with PLF. Results: A total of 426/810 (53 %), 95% confidence interval (CI) [48 %, 59 %] mothers had given pre-lacteal feeds to their infants. The commonest pre-lacteal feeds included glucose solution (54%), water (26%), and infant formula (14%). Having received antenatal breastfeeding counselling decreased the odds of PLF [adjusted odds ratio (AOR) 0.60; 95% CI (0.43, 0.82)]; while discarding of colostrum increased the use of pre-lacteal feeds [AOR 1.57; 95% CI (1.17, 2.11)]. Conclusion: The prevalence of PLF in South Sudan is high. Predictors of PLF included lack of breastfeeding counselling and discarding of colostrum. Infant feeding counselling should be given to all pregnant women in the health facilities and communities. The counselling should emphasize the health benefits of colostrum and discourage the practice of discarding it.
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spelling pubmed-61790512018-10-12 Prevalence and determinants of pre-lacteal feeding in South Sudan: a community-based survey Tongun, Justin Bruno Sebit, Mohamedi Boy Ndeezi, Grace Mukunya, David Tylleskar, Thorkild Tumwine, James K. Glob Health Action Original Article Background: Pre-lacteal feeding (PLF) is a barrier to optimal breastfeeding and increases the risk of diarrhoea and acute respiratory tract infections in infants.The prevalence and predictors of PLF are not well studied in South Sudan. Understanding the predictors of PLF is crucial in designing interventions to increase exclusive breastfeeding (EBF) rates. Objective: To assess the prevalence and factors associated with PLF in Jubek State, South Sudan. Method: This was a community based cross-sectional study of 810 mothers of children under two years of age in Jubek State, South Sudan. Mothers were interviewed in their homes using a semi-structured questionnaire to collect data on PLF, socio-demographic and birth characteristics. Multivariable analysis was used to identify factors independently associated with PLF. Results: A total of 426/810 (53 %), 95% confidence interval (CI) [48 %, 59 %] mothers had given pre-lacteal feeds to their infants. The commonest pre-lacteal feeds included glucose solution (54%), water (26%), and infant formula (14%). Having received antenatal breastfeeding counselling decreased the odds of PLF [adjusted odds ratio (AOR) 0.60; 95% CI (0.43, 0.82)]; while discarding of colostrum increased the use of pre-lacteal feeds [AOR 1.57; 95% CI (1.17, 2.11)]. Conclusion: The prevalence of PLF in South Sudan is high. Predictors of PLF included lack of breastfeeding counselling and discarding of colostrum. Infant feeding counselling should be given to all pregnant women in the health facilities and communities. The counselling should emphasize the health benefits of colostrum and discourage the practice of discarding it. Taylor & Francis 2018-10-08 /pmc/articles/PMC6179051/ /pubmed/30295171 http://dx.doi.org/10.1080/16549716.2018.1523304 Text en © 2018 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Tongun, Justin Bruno
Sebit, Mohamedi Boy
Ndeezi, Grace
Mukunya, David
Tylleskar, Thorkild
Tumwine, James K.
Prevalence and determinants of pre-lacteal feeding in South Sudan: a community-based survey
title Prevalence and determinants of pre-lacteal feeding in South Sudan: a community-based survey
title_full Prevalence and determinants of pre-lacteal feeding in South Sudan: a community-based survey
title_fullStr Prevalence and determinants of pre-lacteal feeding in South Sudan: a community-based survey
title_full_unstemmed Prevalence and determinants of pre-lacteal feeding in South Sudan: a community-based survey
title_short Prevalence and determinants of pre-lacteal feeding in South Sudan: a community-based survey
title_sort prevalence and determinants of pre-lacteal feeding in south sudan: a community-based survey
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6179051/
https://www.ncbi.nlm.nih.gov/pubmed/30295171
http://dx.doi.org/10.1080/16549716.2018.1523304
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