Prevalence and factors associated with early initiation of breastfeeding among Bangladeshi mothers: A nationwide cross-sectional study
Early initiation of breastfeeding (EIBF) is associated with better health of the mothers and reduced risk of neonatal mortality. The objective of this study was to determine the prevalence of EIBF and associated factors among Bangladeshi mothers. The data was extracted from the Bangladesh Demographi...
Gespeichert in:
Veröffentlicht in: | PloS one 2019-04, Vol.14 (4), p.e0215733-e0215733 |
---|---|
Hauptverfasser: | , , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | e0215733 |
---|---|
container_issue | 4 |
container_start_page | e0215733 |
container_title | PloS one |
container_volume | 14 |
creator | Islam, Md Ariful Mamun, Asma Hossain, Md Murad Bharati, Premananda Saw, Aik Lestrel, Pete E Hossain, Md Golam |
description | Early initiation of breastfeeding (EIBF) is associated with better health of the mothers and reduced risk of neonatal mortality. The objective of this study was to determine the prevalence of EIBF and associated factors among Bangladeshi mothers.
The data was extracted from the Bangladesh Demographic and Health Survey (BDHS)-2014. A total of 4,092 married non-pregnant Bangladeshi mothers who had at least one child aged 2 years or younger were included in this study. A two-level logistic regression model was used to remove the clustering effect for finding the impact of socio-economic and demographic factors on EIBF.
The prevalence of EIBF among Bangladeshi mothers was 51.4% (urban: 47.1% and rural: 53.4%). A two -level logistic regression model showed that mothers living in the Sylhet division (p |
doi_str_mv | 10.1371/journal.pone.0215733 |
format | Article |
fullrecord | <record><control><sourceid>gale_plos_</sourceid><recordid>TN_cdi_plos_journals_2215401705</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A583563575</galeid><doaj_id>oai_doaj_org_article_b06beb51a1f14645ac05ad29ef90d08e</doaj_id><sourcerecordid>A583563575</sourcerecordid><originalsourceid>FETCH-LOGICAL-c692t-ccfb6dd80ad8b89cbb45a6b4abb190a996ac20e147d77f42a94407bce0ca6ffc3</originalsourceid><addsrcrecordid>eNqNk9tu1DAQhiMEoqXwBggsISG42MWJEyfhAmmpOKxUqYjTrTW2J7uuvHaxnZa-AM-Nd7utdlEvUKQkGn_ze_x7piielnRasrZ8c-bH4MBOz73DKa3KpmXsXnFY9qya8Iqy-zv_B8WjGM8obVjH-cPigJW0qirWHhZ_vgS8AItOIQGnyQAq-RAJxOiVgYSaXJq0JAjBXhHjTMpB4x3xA5EBIaYBURu3ILDy-f0e3MKCxrg0ZOXTEkN8S2bEbZIujUaigo9xElGtI2BJTKO-elw8GMBGfLL9HhU_Pn74fvx5cnL6aX48O5ko3ldpotQgudYdBd3JrldS1g1wWYOUZU-h7zmoimJZt7pth7qCvq5pKxVSBXwYFDsqnl_rnlsfxdbCKKpsX03LNht0VMyvCe3hTJwHs4JwJTwYsQn4sBAQklEWhaRcomxKKIey5rkSRRvQVY9DTzXtMGu92-42yhVqhS4FsHui-yvOLMXCXwhedyzXlAVebQWC_zViTGJlokJrwaEfN3XzquMd6zL64h_07tNtqUW-c2Hc4PO-ai0qZk3HGs6adk1N76Dyo3FlVO63weT4XsLrvYTMJPydFjDGKObfvv4_e_pzn325wy4RbFpGb8d168R9sL4GN90VcLg1uaRiPS43boj1uIjtuOS0Z7sXdJt0Mx_sL8UkE6c</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2215401705</pqid></control><display><type>article</type><title>Prevalence and factors associated with early initiation of breastfeeding among Bangladeshi mothers: A nationwide cross-sectional study</title><source>MEDLINE</source><source>DOAJ Directory of Open Access Journals</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>PubMed Central</source><source>Free Full-Text Journals in Chemistry</source><source>Public Library of Science (PLoS)</source><creator>Islam, Md Ariful ; Mamun, Asma ; Hossain, Md Murad ; Bharati, Premananda ; Saw, Aik ; Lestrel, Pete E ; Hossain, Md Golam</creator><creatorcontrib>Islam, Md Ariful ; Mamun, Asma ; Hossain, Md Murad ; Bharati, Premananda ; Saw, Aik ; Lestrel, Pete E ; Hossain, Md Golam</creatorcontrib><description><![CDATA[Early initiation of breastfeeding (EIBF) is associated with better health of the mothers and reduced risk of neonatal mortality. The objective of this study was to determine the prevalence of EIBF and associated factors among Bangladeshi mothers.
The data was extracted from the Bangladesh Demographic and Health Survey (BDHS)-2014. A total of 4,092 married non-pregnant Bangladeshi mothers who had at least one child aged 2 years or younger were included in this study. A two-level logistic regression model was used to remove the clustering effect for finding the impact of socio-economic and demographic factors on EIBF.
The prevalence of EIBF among Bangladeshi mothers was 51.4% (urban: 47.1% and rural: 53.4%). A two -level logistic regression model showed that mothers living in the Sylhet division (p<0.01) and rural environment (p<0.05) were more likely to practice EIBF. Mothers who were obese or overweight (p<0.01), had secondary (p<0.05) or higher education (p<0.01) were less likely to provide early breastfeeding to their newborn babies compared to their counterparts. Those who delivered by caesarian-section (p<0.01) were less likely to perform EIBF while those who attended an antenatal care clinic more than 3 times (p<0.05) were more likely to do so.
About half of the Bangladeshi mothers did not start breast-feeding within one hour after birth. This study identified several geographical and socio-demographic factors that were associated with EIBF, and hope that this information will help the government to focus their resources to promote early breastfeeding.]]></description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0215733</identifier><identifier>PMID: 31022237</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject><![CDATA[Adolescent ; Adult ; Babies ; Bangladesh ; Birth weight ; Births ; Body weight ; Breast feeding ; Breast Feeding - statistics & numerical data ; Breastfeeding & lactation ; Child mortality ; Child, Preschool ; Children ; Children & youth ; Childrens health ; Clustering ; Cross-Sectional Studies ; Demographic aspects ; Demographics ; Demography - statistics & numerical data ; Divisions ; Economic aspects ; Education ; Female ; Health ; Health aspects ; Health surveys ; Health Surveys - statistics & numerical data ; Humans ; Impact analysis ; Infant ; Infant mortality ; Infant, Newborn ; Infants ; Medical research ; Middle Aged ; Mortality ; Mothers ; Mothers - statistics & numerical data ; Neonates ; Newborn babies ; Newborn infants ; Obesity ; Overweight ; Pregnancy ; Pregnant women ; Prevalence ; Regression models ; Risk management ; Risk reduction ; Rural environments ; Rural Population - statistics & numerical data ; Social aspects ; Socioeconomic Factors ; Studies ; Systematic review ; Time Factors ; Trends ; Urban Population - statistics & numerical data ; Young Adult]]></subject><ispartof>PloS one, 2019-04, Vol.14 (4), p.e0215733-e0215733</ispartof><rights>COPYRIGHT 2019 Public Library of Science</rights><rights>2019 Islam et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2019 Islam et al 2019 Islam et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c692t-ccfb6dd80ad8b89cbb45a6b4abb190a996ac20e147d77f42a94407bce0ca6ffc3</citedby><cites>FETCH-LOGICAL-c692t-ccfb6dd80ad8b89cbb45a6b4abb190a996ac20e147d77f42a94407bce0ca6ffc3</cites><orcidid>0000-0002-3822-5489</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6483221/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6483221/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,2096,2915,23845,27901,27902,53766,53768,79342,79343</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31022237$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Islam, Md Ariful</creatorcontrib><creatorcontrib>Mamun, Asma</creatorcontrib><creatorcontrib>Hossain, Md Murad</creatorcontrib><creatorcontrib>Bharati, Premananda</creatorcontrib><creatorcontrib>Saw, Aik</creatorcontrib><creatorcontrib>Lestrel, Pete E</creatorcontrib><creatorcontrib>Hossain, Md Golam</creatorcontrib><title>Prevalence and factors associated with early initiation of breastfeeding among Bangladeshi mothers: A nationwide cross-sectional study</title><title>PloS one</title><addtitle>PLoS One</addtitle><description><![CDATA[Early initiation of breastfeeding (EIBF) is associated with better health of the mothers and reduced risk of neonatal mortality. The objective of this study was to determine the prevalence of EIBF and associated factors among Bangladeshi mothers.
The data was extracted from the Bangladesh Demographic and Health Survey (BDHS)-2014. A total of 4,092 married non-pregnant Bangladeshi mothers who had at least one child aged 2 years or younger were included in this study. A two-level logistic regression model was used to remove the clustering effect for finding the impact of socio-economic and demographic factors on EIBF.
The prevalence of EIBF among Bangladeshi mothers was 51.4% (urban: 47.1% and rural: 53.4%). A two -level logistic regression model showed that mothers living in the Sylhet division (p<0.01) and rural environment (p<0.05) were more likely to practice EIBF. Mothers who were obese or overweight (p<0.01), had secondary (p<0.05) or higher education (p<0.01) were less likely to provide early breastfeeding to their newborn babies compared to their counterparts. Those who delivered by caesarian-section (p<0.01) were less likely to perform EIBF while those who attended an antenatal care clinic more than 3 times (p<0.05) were more likely to do so.
About half of the Bangladeshi mothers did not start breast-feeding within one hour after birth. This study identified several geographical and socio-demographic factors that were associated with EIBF, and hope that this information will help the government to focus their resources to promote early breastfeeding.]]></description><subject>Adolescent</subject><subject>Adult</subject><subject>Babies</subject><subject>Bangladesh</subject><subject>Birth weight</subject><subject>Births</subject><subject>Body weight</subject><subject>Breast feeding</subject><subject>Breast Feeding - statistics & numerical data</subject><subject>Breastfeeding & lactation</subject><subject>Child mortality</subject><subject>Child, Preschool</subject><subject>Children</subject><subject>Children & youth</subject><subject>Childrens health</subject><subject>Clustering</subject><subject>Cross-Sectional Studies</subject><subject>Demographic aspects</subject><subject>Demographics</subject><subject>Demography - statistics & numerical data</subject><subject>Divisions</subject><subject>Economic aspects</subject><subject>Education</subject><subject>Female</subject><subject>Health</subject><subject>Health aspects</subject><subject>Health surveys</subject><subject>Health Surveys - statistics & numerical data</subject><subject>Humans</subject><subject>Impact analysis</subject><subject>Infant</subject><subject>Infant mortality</subject><subject>Infant, Newborn</subject><subject>Infants</subject><subject>Medical research</subject><subject>Middle Aged</subject><subject>Mortality</subject><subject>Mothers</subject><subject>Mothers - statistics & numerical data</subject><subject>Neonates</subject><subject>Newborn babies</subject><subject>Newborn infants</subject><subject>Obesity</subject><subject>Overweight</subject><subject>Pregnancy</subject><subject>Pregnant women</subject><subject>Prevalence</subject><subject>Regression models</subject><subject>Risk management</subject><subject>Risk reduction</subject><subject>Rural environments</subject><subject>Rural Population - statistics & numerical data</subject><subject>Social aspects</subject><subject>Socioeconomic Factors</subject><subject>Studies</subject><subject>Systematic review</subject><subject>Time Factors</subject><subject>Trends</subject><subject>Urban Population - statistics & numerical data</subject><subject>Young Adult</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><sourceid>DOA</sourceid><recordid>eNqNk9tu1DAQhiMEoqXwBggsISG42MWJEyfhAmmpOKxUqYjTrTW2J7uuvHaxnZa-AM-Nd7utdlEvUKQkGn_ze_x7piielnRasrZ8c-bH4MBOz73DKa3KpmXsXnFY9qya8Iqy-zv_B8WjGM8obVjH-cPigJW0qirWHhZ_vgS8AItOIQGnyQAq-RAJxOiVgYSaXJq0JAjBXhHjTMpB4x3xA5EBIaYBURu3ILDy-f0e3MKCxrg0ZOXTEkN8S2bEbZIujUaigo9xElGtI2BJTKO-elw8GMBGfLL9HhU_Pn74fvx5cnL6aX48O5ko3ldpotQgudYdBd3JrldS1g1wWYOUZU-h7zmoimJZt7pth7qCvq5pKxVSBXwYFDsqnl_rnlsfxdbCKKpsX03LNht0VMyvCe3hTJwHs4JwJTwYsQn4sBAQklEWhaRcomxKKIey5rkSRRvQVY9DTzXtMGu92-42yhVqhS4FsHui-yvOLMXCXwhedyzXlAVebQWC_zViTGJlokJrwaEfN3XzquMd6zL64h_07tNtqUW-c2Hc4PO-ai0qZk3HGs6adk1N76Dyo3FlVO63weT4XsLrvYTMJPydFjDGKObfvv4_e_pzn325wy4RbFpGb8d168R9sL4GN90VcLg1uaRiPS43boj1uIjtuOS0Z7sXdJt0Mx_sL8UkE6c</recordid><startdate>20190425</startdate><enddate>20190425</enddate><creator>Islam, Md Ariful</creator><creator>Mamun, Asma</creator><creator>Hossain, Md Murad</creator><creator>Bharati, Premananda</creator><creator>Saw, Aik</creator><creator>Lestrel, Pete E</creator><creator>Hossain, Md Golam</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>IOV</scope><scope>ISR</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-3822-5489</orcidid></search><sort><creationdate>20190425</creationdate><title>Prevalence and factors associated with early initiation of breastfeeding among Bangladeshi mothers: A nationwide cross-sectional study</title><author>Islam, Md Ariful ; Mamun, Asma ; Hossain, Md Murad ; Bharati, Premananda ; Saw, Aik ; Lestrel, Pete E ; Hossain, Md Golam</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c692t-ccfb6dd80ad8b89cbb45a6b4abb190a996ac20e147d77f42a94407bce0ca6ffc3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Adolescent</topic><topic>Adult</topic><topic>Babies</topic><topic>Bangladesh</topic><topic>Birth weight</topic><topic>Births</topic><topic>Body weight</topic><topic>Breast feeding</topic><topic>Breast Feeding - statistics & numerical data</topic><topic>Breastfeeding & lactation</topic><topic>Child mortality</topic><topic>Child, Preschool</topic><topic>Children</topic><topic>Children & youth</topic><topic>Childrens health</topic><topic>Clustering</topic><topic>Cross-Sectional Studies</topic><topic>Demographic aspects</topic><topic>Demographics</topic><topic>Demography - statistics & numerical data</topic><topic>Divisions</topic><topic>Economic aspects</topic><topic>Education</topic><topic>Female</topic><topic>Health</topic><topic>Health aspects</topic><topic>Health surveys</topic><topic>Health Surveys - statistics & numerical data</topic><topic>Humans</topic><topic>Impact analysis</topic><topic>Infant</topic><topic>Infant mortality</topic><topic>Infant, Newborn</topic><topic>Infants</topic><topic>Medical research</topic><topic>Middle Aged</topic><topic>Mortality</topic><topic>Mothers</topic><topic>Mothers - statistics & numerical data</topic><topic>Neonates</topic><topic>Newborn babies</topic><topic>Newborn infants</topic><topic>Obesity</topic><topic>Overweight</topic><topic>Pregnancy</topic><topic>Pregnant women</topic><topic>Prevalence</topic><topic>Regression models</topic><topic>Risk management</topic><topic>Risk reduction</topic><topic>Rural environments</topic><topic>Rural Population - statistics & numerical data</topic><topic>Social aspects</topic><topic>Socioeconomic Factors</topic><topic>Studies</topic><topic>Systematic review</topic><topic>Time Factors</topic><topic>Trends</topic><topic>Urban Population - statistics & numerical data</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Islam, Md Ariful</creatorcontrib><creatorcontrib>Mamun, Asma</creatorcontrib><creatorcontrib>Hossain, Md Murad</creatorcontrib><creatorcontrib>Bharati, Premananda</creatorcontrib><creatorcontrib>Saw, Aik</creatorcontrib><creatorcontrib>Lestrel, Pete E</creatorcontrib><creatorcontrib>Hossain, Md Golam</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale In Context: Opposing Viewpoints</collection><collection>Gale In Context: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Materials Science Database</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>ProQuest Engineering Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Agricultural Science Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biological Science Database</collection><collection>Engineering Database</collection><collection>Nursing & Allied Health Premium</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environmental Science Database</collection><collection>Materials Science Collection</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Islam, Md Ariful</au><au>Mamun, Asma</au><au>Hossain, Md Murad</au><au>Bharati, Premananda</au><au>Saw, Aik</au><au>Lestrel, Pete E</au><au>Hossain, Md Golam</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Prevalence and factors associated with early initiation of breastfeeding among Bangladeshi mothers: A nationwide cross-sectional study</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2019-04-25</date><risdate>2019</risdate><volume>14</volume><issue>4</issue><spage>e0215733</spage><epage>e0215733</epage><pages>e0215733-e0215733</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract><![CDATA[Early initiation of breastfeeding (EIBF) is associated with better health of the mothers and reduced risk of neonatal mortality. The objective of this study was to determine the prevalence of EIBF and associated factors among Bangladeshi mothers.
The data was extracted from the Bangladesh Demographic and Health Survey (BDHS)-2014. A total of 4,092 married non-pregnant Bangladeshi mothers who had at least one child aged 2 years or younger were included in this study. A two-level logistic regression model was used to remove the clustering effect for finding the impact of socio-economic and demographic factors on EIBF.
The prevalence of EIBF among Bangladeshi mothers was 51.4% (urban: 47.1% and rural: 53.4%). A two -level logistic regression model showed that mothers living in the Sylhet division (p<0.01) and rural environment (p<0.05) were more likely to practice EIBF. Mothers who were obese or overweight (p<0.01), had secondary (p<0.05) or higher education (p<0.01) were less likely to provide early breastfeeding to their newborn babies compared to their counterparts. Those who delivered by caesarian-section (p<0.01) were less likely to perform EIBF while those who attended an antenatal care clinic more than 3 times (p<0.05) were more likely to do so.
About half of the Bangladeshi mothers did not start breast-feeding within one hour after birth. This study identified several geographical and socio-demographic factors that were associated with EIBF, and hope that this information will help the government to focus their resources to promote early breastfeeding.]]></abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>31022237</pmid><doi>10.1371/journal.pone.0215733</doi><tpages>e0215733</tpages><orcidid>https://orcid.org/0000-0002-3822-5489</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1932-6203 |
ispartof | PloS one, 2019-04, Vol.14 (4), p.e0215733-e0215733 |
issn | 1932-6203 1932-6203 |
language | eng |
recordid | cdi_plos_journals_2215401705 |
source | MEDLINE; DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; PubMed Central; Free Full-Text Journals in Chemistry; Public Library of Science (PLoS) |
subjects | Adolescent Adult Babies Bangladesh Birth weight Births Body weight Breast feeding Breast Feeding - statistics & numerical data Breastfeeding & lactation Child mortality Child, Preschool Children Children & youth Childrens health Clustering Cross-Sectional Studies Demographic aspects Demographics Demography - statistics & numerical data Divisions Economic aspects Education Female Health Health aspects Health surveys Health Surveys - statistics & numerical data Humans Impact analysis Infant Infant mortality Infant, Newborn Infants Medical research Middle Aged Mortality Mothers Mothers - statistics & numerical data Neonates Newborn babies Newborn infants Obesity Overweight Pregnancy Pregnant women Prevalence Regression models Risk management Risk reduction Rural environments Rural Population - statistics & numerical data Social aspects Socioeconomic Factors Studies Systematic review Time Factors Trends Urban Population - statistics & numerical data Young Adult |
title | Prevalence and factors associated with early initiation of breastfeeding among Bangladeshi mothers: A nationwide cross-sectional study |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-09T05%3A34%3A29IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_plos_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Prevalence%20and%20factors%20associated%20with%20early%20initiation%20of%20breastfeeding%20among%20Bangladeshi%20mothers:%20A%20nationwide%20cross-sectional%20study&rft.jtitle=PloS%20one&rft.au=Islam,%20Md%20Ariful&rft.date=2019-04-25&rft.volume=14&rft.issue=4&rft.spage=e0215733&rft.epage=e0215733&rft.pages=e0215733-e0215733&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0215733&rft_dat=%3Cgale_plos_%3EA583563575%3C/gale_plos_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2215401705&rft_id=info:pmid/31022237&rft_galeid=A583563575&rft_doaj_id=oai_doaj_org_article_b06beb51a1f14645ac05ad29ef90d08e&rfr_iscdi=true |