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It takes a village: An empirical analysis of how husbands, mothers‐in‐law, health workers, and mothers influence breastfeeding practices in Uttar Pradesh, India

Evidence on strategies to improve infant and young child feeding in India, a country that carries the world's largest burden of undernutrition, is limited. In the context of a programme evaluation in two districts in Uttar Pradesh, we sought to understand the multiple influences on breastfeedin...

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Autores principales: Young, Melissa F., Nguyen, Phuong, Kachwaha, Shivani, Tran Mai, Lan, Ghosh, Sebanti, Agrawal, Rajeev, Escobar‐Alegria, Jessica, Menon, Purnima, Avula, Rasmi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7083414/
https://www.ncbi.nlm.nih.gov/pubmed/31773869
http://dx.doi.org/10.1111/mcn.12892
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author Young, Melissa F.
Nguyen, Phuong
Kachwaha, Shivani
Tran Mai, Lan
Ghosh, Sebanti
Agrawal, Rajeev
Escobar‐Alegria, Jessica
Menon, Purnima
Avula, Rasmi
author_facet Young, Melissa F.
Nguyen, Phuong
Kachwaha, Shivani
Tran Mai, Lan
Ghosh, Sebanti
Agrawal, Rajeev
Escobar‐Alegria, Jessica
Menon, Purnima
Avula, Rasmi
author_sort Young, Melissa F.
collection PubMed
description Evidence on strategies to improve infant and young child feeding in India, a country that carries the world's largest burden of undernutrition, is limited. In the context of a programme evaluation in two districts in Uttar Pradesh, we sought to understand the multiple influences on breastfeeding practices and to model potential programme influence on improving breastfeeding. A cross‐sectional survey was conducted among 1,838 recently delivered women, 1,194 husbands, and 1,353 mothers/mothers‐in‐law. We used bivariate and multivariable logistic regression models to examine the association between key determinants (maternal, household, community, and health services) and breastfeeding outcomes [early initiation of breastfeeding (EIBF)], prelacteal feed, and exclusive breastfeeding (EBF). We used population attributable risk analysis to estimate potential improvement in breastfeeding practices. Breastfeeding practices were suboptimal: EIBF (26.3%), EBF (54%), and prelacteal feeding (33%). EIBF was positively associated with maternal knowledge, counselling during pregnancy/delivery, and vaginal delivery at a health facility. Prelacteal feeds were less likely to be given when mothers had higher knowledge, beliefs and self‐efficacy, delivered at health facility, and mothers/mothers‐in‐law had attended school. EBF was positively associated with maternal knowledge, beliefs and self‐efficacy, parity, and socio‐economic status. High maternal stress and domestic violence contributed to lower EBF. Under optimal programme implementation, we estimate EIBF can be improved by 25%, prelacteal feeding can be reduced by 25%, and EBF can be increased by 23%. A multifactorial approach, including maternal‐, health service‐, family‐, and community‐level interventions has the potential to lead to significant improvements in breastfeeding practices in Uttar Pradesh.
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spelling pubmed-70834142020-05-21 It takes a village: An empirical analysis of how husbands, mothers‐in‐law, health workers, and mothers influence breastfeeding practices in Uttar Pradesh, India Young, Melissa F. Nguyen, Phuong Kachwaha, Shivani Tran Mai, Lan Ghosh, Sebanti Agrawal, Rajeev Escobar‐Alegria, Jessica Menon, Purnima Avula, Rasmi Matern Child Nutr Original Articles Evidence on strategies to improve infant and young child feeding in India, a country that carries the world's largest burden of undernutrition, is limited. In the context of a programme evaluation in two districts in Uttar Pradesh, we sought to understand the multiple influences on breastfeeding practices and to model potential programme influence on improving breastfeeding. A cross‐sectional survey was conducted among 1,838 recently delivered women, 1,194 husbands, and 1,353 mothers/mothers‐in‐law. We used bivariate and multivariable logistic regression models to examine the association between key determinants (maternal, household, community, and health services) and breastfeeding outcomes [early initiation of breastfeeding (EIBF)], prelacteal feed, and exclusive breastfeeding (EBF). We used population attributable risk analysis to estimate potential improvement in breastfeeding practices. Breastfeeding practices were suboptimal: EIBF (26.3%), EBF (54%), and prelacteal feeding (33%). EIBF was positively associated with maternal knowledge, counselling during pregnancy/delivery, and vaginal delivery at a health facility. Prelacteal feeds were less likely to be given when mothers had higher knowledge, beliefs and self‐efficacy, delivered at health facility, and mothers/mothers‐in‐law had attended school. EBF was positively associated with maternal knowledge, beliefs and self‐efficacy, parity, and socio‐economic status. High maternal stress and domestic violence contributed to lower EBF. Under optimal programme implementation, we estimate EIBF can be improved by 25%, prelacteal feeding can be reduced by 25%, and EBF can be increased by 23%. A multifactorial approach, including maternal‐, health service‐, family‐, and community‐level interventions has the potential to lead to significant improvements in breastfeeding practices in Uttar Pradesh. John Wiley and Sons Inc. 2019-11-26 /pmc/articles/PMC7083414/ /pubmed/31773869 http://dx.doi.org/10.1111/mcn.12892 Text en © 2019 The Authors. Maternal & Child Nutrition published by John Wiley & Sons, Ltd. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Articles
Young, Melissa F.
Nguyen, Phuong
Kachwaha, Shivani
Tran Mai, Lan
Ghosh, Sebanti
Agrawal, Rajeev
Escobar‐Alegria, Jessica
Menon, Purnima
Avula, Rasmi
It takes a village: An empirical analysis of how husbands, mothers‐in‐law, health workers, and mothers influence breastfeeding practices in Uttar Pradesh, India
title It takes a village: An empirical analysis of how husbands, mothers‐in‐law, health workers, and mothers influence breastfeeding practices in Uttar Pradesh, India
title_full It takes a village: An empirical analysis of how husbands, mothers‐in‐law, health workers, and mothers influence breastfeeding practices in Uttar Pradesh, India
title_fullStr It takes a village: An empirical analysis of how husbands, mothers‐in‐law, health workers, and mothers influence breastfeeding practices in Uttar Pradesh, India
title_full_unstemmed It takes a village: An empirical analysis of how husbands, mothers‐in‐law, health workers, and mothers influence breastfeeding practices in Uttar Pradesh, India
title_short It takes a village: An empirical analysis of how husbands, mothers‐in‐law, health workers, and mothers influence breastfeeding practices in Uttar Pradesh, India
title_sort it takes a village: an empirical analysis of how husbands, mothers‐in‐law, health workers, and mothers influence breastfeeding practices in uttar pradesh, india
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7083414/
https://www.ncbi.nlm.nih.gov/pubmed/31773869
http://dx.doi.org/10.1111/mcn.12892
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