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Mapping regional variability of exclusive breastfeeding and its determinants at different infant’s age in Tanzania

INTRODUCTION: Despite its numerous benefits, exclusive breastfeeding (EBF) remains an underutilized practice. Enhancing EBF uptake necessitates a focused approach targeting regions where its adoption is suboptimal. This study aimed to investigate regional disparities in EBF practices and identify de...

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Autores principales: Jahanpour, Ola Farid, Okango, Elphas Luchemo, Todd, Jim, Mwambi, Henry, Mahande, Michael J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10623860/
https://www.ncbi.nlm.nih.gov/pubmed/37924009
http://dx.doi.org/10.1186/s12884-023-06076-5
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author Jahanpour, Ola Farid
Okango, Elphas Luchemo
Todd, Jim
Mwambi, Henry
Mahande, Michael J.
author_facet Jahanpour, Ola Farid
Okango, Elphas Luchemo
Todd, Jim
Mwambi, Henry
Mahande, Michael J.
author_sort Jahanpour, Ola Farid
collection PubMed
description INTRODUCTION: Despite its numerous benefits, exclusive breastfeeding (EBF) remains an underutilized practice. Enhancing EBF uptake necessitates a focused approach targeting regions where its adoption is suboptimal. This study aimed to investigate regional disparities in EBF practices and identify determinants of EBF among infants aged 0–1, 2–3, and 4–5 months in Tanzania. METHODS: This cross-sectional study utilized data from the 2015/16 Tanzania Demographic and Health Survey. A total of 1,015 infants aged 0–5 met the inclusion criteria, comprising 378 aged 0–1 month, 334 at 2–3 months, and 303 at 4–5 months. EBF practices were assessed using a 24-hour recall method. A generalized linear mixed model, with fixed covariates encompassing infant and maternal attributes and clusters for enumeration areas (EAs) and regions, was employed to estimate EBF proportions. RESULTS: Regional disparities in EBF were evident among infants aged 0–1, 2–3, and 4–5 months, with decline in EBF proportions as an infant’s age increases. This pattern was observed nationwide. Regional and EA factors influenced the EBF practices at 0–1 and 2–3 months, accounting for 17–40% of the variability at the regional level and 40–63% at the EA level. Literacy level among mothers had a significant impact on EBF practices at 2–3 months (e.g., women who could read whole sentences; AOR = 3.2, 95% CI 1.1,8.8). CONCLUSION: Regional disparities in EBF proportions exist in Tanzania, and further studies are needed to understand their underlying causes. Targeted interventions should prioritize regions with lower EBF proportions. This study highlights the clustering of EBF practices at 0–1 and 2–3 months on both regional and EA levels. Conducting studies in smaller geographical areas may enhance our understanding of the enablers and barriers to EBF and guide interventions to promote recommended EBF practices. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12884-023-06076-5.
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spelling pubmed-106238602023-11-04 Mapping regional variability of exclusive breastfeeding and its determinants at different infant’s age in Tanzania Jahanpour, Ola Farid Okango, Elphas Luchemo Todd, Jim Mwambi, Henry Mahande, Michael J. BMC Pregnancy Childbirth Research INTRODUCTION: Despite its numerous benefits, exclusive breastfeeding (EBF) remains an underutilized practice. Enhancing EBF uptake necessitates a focused approach targeting regions where its adoption is suboptimal. This study aimed to investigate regional disparities in EBF practices and identify determinants of EBF among infants aged 0–1, 2–3, and 4–5 months in Tanzania. METHODS: This cross-sectional study utilized data from the 2015/16 Tanzania Demographic and Health Survey. A total of 1,015 infants aged 0–5 met the inclusion criteria, comprising 378 aged 0–1 month, 334 at 2–3 months, and 303 at 4–5 months. EBF practices were assessed using a 24-hour recall method. A generalized linear mixed model, with fixed covariates encompassing infant and maternal attributes and clusters for enumeration areas (EAs) and regions, was employed to estimate EBF proportions. RESULTS: Regional disparities in EBF were evident among infants aged 0–1, 2–3, and 4–5 months, with decline in EBF proportions as an infant’s age increases. This pattern was observed nationwide. Regional and EA factors influenced the EBF practices at 0–1 and 2–3 months, accounting for 17–40% of the variability at the regional level and 40–63% at the EA level. Literacy level among mothers had a significant impact on EBF practices at 2–3 months (e.g., women who could read whole sentences; AOR = 3.2, 95% CI 1.1,8.8). CONCLUSION: Regional disparities in EBF proportions exist in Tanzania, and further studies are needed to understand their underlying causes. Targeted interventions should prioritize regions with lower EBF proportions. This study highlights the clustering of EBF practices at 0–1 and 2–3 months on both regional and EA levels. Conducting studies in smaller geographical areas may enhance our understanding of the enablers and barriers to EBF and guide interventions to promote recommended EBF practices. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12884-023-06076-5. BioMed Central 2023-11-03 /pmc/articles/PMC10623860/ /pubmed/37924009 http://dx.doi.org/10.1186/s12884-023-06076-5 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Jahanpour, Ola Farid
Okango, Elphas Luchemo
Todd, Jim
Mwambi, Henry
Mahande, Michael J.
Mapping regional variability of exclusive breastfeeding and its determinants at different infant’s age in Tanzania
title Mapping regional variability of exclusive breastfeeding and its determinants at different infant’s age in Tanzania
title_full Mapping regional variability of exclusive breastfeeding and its determinants at different infant’s age in Tanzania
title_fullStr Mapping regional variability of exclusive breastfeeding and its determinants at different infant’s age in Tanzania
title_full_unstemmed Mapping regional variability of exclusive breastfeeding and its determinants at different infant’s age in Tanzania
title_short Mapping regional variability of exclusive breastfeeding and its determinants at different infant’s age in Tanzania
title_sort mapping regional variability of exclusive breastfeeding and its determinants at different infant’s age in tanzania
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10623860/
https://www.ncbi.nlm.nih.gov/pubmed/37924009
http://dx.doi.org/10.1186/s12884-023-06076-5
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