Cargando…
Factors associated with duration of breastfeeding in Bangladesh: evidence from Bangladesh demographic and health survey 2014
BACKGROUND: Breastfeeding for optimum duration is one of the most effective ways to reduce infant morbidity and mortality and confirms expected growth and development of children. The aim of this study was to determine the effect of socio-demographic and anthropometric determinants on duration of br...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8474880/ https://www.ncbi.nlm.nih.gov/pubmed/34565370 http://dx.doi.org/10.1186/s12889-021-11804-7 |
_version_ | 1784575319564353536 |
---|---|
author | Ayesha, Ummay Mamun, A. S. M. A. Sayem, Md. Abu Hossain, Md. Golam |
author_facet | Ayesha, Ummay Mamun, A. S. M. A. Sayem, Md. Abu Hossain, Md. Golam |
author_sort | Ayesha, Ummay |
collection | PubMed |
description | BACKGROUND: Breastfeeding for optimum duration is one of the most effective ways to reduce infant morbidity and mortality and confirms expected growth and development of children. The aim of this study was to determine the effect of socio-demographic and anthropometric determinants on duration of breastfeeding (DB) among mothers in Bangladesh. METHODS: The data was extracted from the Bangladesh Demographic and Health Survey (BDHS)-2014. A total of 3541 married non–pregnant and currently non-breastfeeding Bangladeshi mothers in reproductive age who had at least one child aged 6–36 months were included in this study. Independent sample t-test and one-way analysis of variance (ANOVA) were used to find the significance difference in DB between two and more than two groups respectively. Multiple linear regression model was utilized to determine the effect of socio-economic, demographic, anthropometric and health related variables on DB. RESULTS: This study revealed that the mean and median of DB among Bangladeshi mothers were 18.91 (95% CI: 18.65–19.17) and 19.00 months respectively. Independent sample t-test and ANOVA showed that DB among Bangladeshi mothers was significantly influenced by (i) ANC visits, (ii) religion, (iii) mode of delivery, (iv) place of delivery, (v) parents’ education, (vi) geographical location, (vii) mothers’ occupation and (viii) household wealth quintile. Multiple regression analysis demonstrated that mothers’ age, total number of children, mothers’ age at first birth, ANC visits, mothers’ occupation and geographical location were important predictors of DB. CONCLUSIONS: Healthcare providers and decision makers can consider these findings to make plan for counseling of mothers and family members to promote optimum DB practice in first 2 years of baby’s life. |
format | Online Article Text |
id | pubmed-8474880 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-84748802021-09-28 Factors associated with duration of breastfeeding in Bangladesh: evidence from Bangladesh demographic and health survey 2014 Ayesha, Ummay Mamun, A. S. M. A. Sayem, Md. Abu Hossain, Md. Golam BMC Public Health Research Article BACKGROUND: Breastfeeding for optimum duration is one of the most effective ways to reduce infant morbidity and mortality and confirms expected growth and development of children. The aim of this study was to determine the effect of socio-demographic and anthropometric determinants on duration of breastfeeding (DB) among mothers in Bangladesh. METHODS: The data was extracted from the Bangladesh Demographic and Health Survey (BDHS)-2014. A total of 3541 married non–pregnant and currently non-breastfeeding Bangladeshi mothers in reproductive age who had at least one child aged 6–36 months were included in this study. Independent sample t-test and one-way analysis of variance (ANOVA) were used to find the significance difference in DB between two and more than two groups respectively. Multiple linear regression model was utilized to determine the effect of socio-economic, demographic, anthropometric and health related variables on DB. RESULTS: This study revealed that the mean and median of DB among Bangladeshi mothers were 18.91 (95% CI: 18.65–19.17) and 19.00 months respectively. Independent sample t-test and ANOVA showed that DB among Bangladeshi mothers was significantly influenced by (i) ANC visits, (ii) religion, (iii) mode of delivery, (iv) place of delivery, (v) parents’ education, (vi) geographical location, (vii) mothers’ occupation and (viii) household wealth quintile. Multiple regression analysis demonstrated that mothers’ age, total number of children, mothers’ age at first birth, ANC visits, mothers’ occupation and geographical location were important predictors of DB. CONCLUSIONS: Healthcare providers and decision makers can consider these findings to make plan for counseling of mothers and family members to promote optimum DB practice in first 2 years of baby’s life. BioMed Central 2021-09-26 /pmc/articles/PMC8474880/ /pubmed/34565370 http://dx.doi.org/10.1186/s12889-021-11804-7 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 Article Ayesha, Ummay Mamun, A. S. M. A. Sayem, Md. Abu Hossain, Md. Golam Factors associated with duration of breastfeeding in Bangladesh: evidence from Bangladesh demographic and health survey 2014 |
title | Factors associated with duration of breastfeeding in Bangladesh: evidence from Bangladesh demographic and health survey 2014 |
title_full | Factors associated with duration of breastfeeding in Bangladesh: evidence from Bangladesh demographic and health survey 2014 |
title_fullStr | Factors associated with duration of breastfeeding in Bangladesh: evidence from Bangladesh demographic and health survey 2014 |
title_full_unstemmed | Factors associated with duration of breastfeeding in Bangladesh: evidence from Bangladesh demographic and health survey 2014 |
title_short | Factors associated with duration of breastfeeding in Bangladesh: evidence from Bangladesh demographic and health survey 2014 |
title_sort | factors associated with duration of breastfeeding in bangladesh: evidence from bangladesh demographic and health survey 2014 |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8474880/ https://www.ncbi.nlm.nih.gov/pubmed/34565370 http://dx.doi.org/10.1186/s12889-021-11804-7 |
work_keys_str_mv | AT ayeshaummay factorsassociatedwithdurationofbreastfeedinginbangladeshevidencefrombangladeshdemographicandhealthsurvey2014 AT mamunasma factorsassociatedwithdurationofbreastfeedinginbangladeshevidencefrombangladeshdemographicandhealthsurvey2014 AT sayemmdabu factorsassociatedwithdurationofbreastfeedinginbangladeshevidencefrombangladeshdemographicandhealthsurvey2014 AT hossainmdgolam factorsassociatedwithdurationofbreastfeedinginbangladeshevidencefrombangladeshdemographicandhealthsurvey2014 |