Nutrition-specific and sensitive drivers of poor child nutrition in Kilte Awlaelo-Health and Demographic Surveillance Site, Tigray, Northern Ethiopia: implications for public health nutrition in resource-poor settings
Background: Child undernutrition is a prevalent health problem and poses various short and long-term consequences. Objective: This study seeks to investigate the burden of child undernutrition and its drivers in Kilte Awlaelo-Health and Demographic Surveillance Site, Tigray, northern Ethiopia. Metho...
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| Veröffentlicht in: | Global health action 2019-01, Vol.12 (1), p.1556572-1556572 |
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| creator | Abera, Semaw Ferede Kantelhardt, Eva Johanna Bezabih, Afewrok Mulugeta Gebru, Alemseged Aregay Ejeta, Gebisa Lauvai, Judith Wienke, Andreas Scherbaum, Veronika |
| description | Background: Child undernutrition is a prevalent health problem and poses various short and long-term consequences.
Objective: This study seeks to investigate the burden of child undernutrition and its drivers in Kilte Awlaelo-Health and Demographic Surveillance Site, Tigray, northern Ethiopia.
Methods: In 2015, cross-sectional data were collected from 1,525 children aged 6-23 months. Maternal and child nutritional status was assessed using the mid upper arm circumference. Child's dietary diversity score was calculated using 24-hours dietary recall method. Log-binomial regression and partial proportional odds model were fitted to examine the drivers of poor child nutrition and child dietary diversity (CDD), respectively.
Results: The burden of undernutrition and inadequate CDD was 13.7% (95% CI: 12.1-15.5%) and 81.3% (95%CI: 79.2-83.1%), respectively. Maternal undernutrition (adjusted prevalence ratio, adjPR = 1.47; 95%CI: 1.14-1.89), low CDD (adjPR = 1.90; 95%CI: 1.22-2.97), and morbidity (adjPR = 1.83; 95%CI: 1.15-2.92) were the nutrition-specific drivers of child undernutrition. The nutrition-sensitive drivers were poverty (compared to the poorest, adjPR poor = 0.65 [95%CI:0.45-0.93], adjPR medium = 0.64 [95%CI: 0.44-0.93], adjPR wealthy = 0.46 [95%CI: 0.30-0.70], and adjPR wealthiest = 0.53 [95%CI: 0.34-0.82]), larger family size (adjPR = 1.10; 95%CI: 1.02-1.18), household head's employment insecurity (adjPR = 2.10; 95%CI: 1.43-3.09), and residing in highlands (adjPR = 1.93; 95%CI: 1.36-2.75). The data show that higher CDD was positively associated with wealth (OR wealthy = 3.06 [95%CI: 1.88-4.99], OR wealthiest = 2.57 [95%CI: 1.53-4.31]), but it was inversely associated with lack of diverse food crops production in highlands (OR = 0.23; 95%CI: 0.10-0.57]).
Conclusions: Our findings suggest that the burden of poor child nutrition is very high in the study area. Multi-sectoral collaboration and cross-disciplinary interventions between agriculture, nutrition and health sectors are recommended to address child undernutrition in resource poor and food insecure rural communities of similar settings. |
| doi_str_mv | 10.1080/16549716.2018.1556572 |
| format | Article |
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Objective: This study seeks to investigate the burden of child undernutrition and its drivers in Kilte Awlaelo-Health and Demographic Surveillance Site, Tigray, northern Ethiopia.
Methods: In 2015, cross-sectional data were collected from 1,525 children aged 6-23 months. Maternal and child nutritional status was assessed using the mid upper arm circumference. Child's dietary diversity score was calculated using 24-hours dietary recall method. Log-binomial regression and partial proportional odds model were fitted to examine the drivers of poor child nutrition and child dietary diversity (CDD), respectively.
Results: The burden of undernutrition and inadequate CDD was 13.7% (95% CI: 12.1-15.5%) and 81.3% (95%CI: 79.2-83.1%), respectively. Maternal undernutrition (adjusted prevalence ratio, adjPR = 1.47; 95%CI: 1.14-1.89), low CDD (adjPR = 1.90; 95%CI: 1.22-2.97), and morbidity (adjPR = 1.83; 95%CI: 1.15-2.92) were the nutrition-specific drivers of child undernutrition. The nutrition-sensitive drivers were poverty (compared to the poorest, adjPR poor = 0.65 [95%CI:0.45-0.93], adjPR medium = 0.64 [95%CI: 0.44-0.93], adjPR wealthy = 0.46 [95%CI: 0.30-0.70], and adjPR wealthiest = 0.53 [95%CI: 0.34-0.82]), larger family size (adjPR = 1.10; 95%CI: 1.02-1.18), household head's employment insecurity (adjPR = 2.10; 95%CI: 1.43-3.09), and residing in highlands (adjPR = 1.93; 95%CI: 1.36-2.75). The data show that higher CDD was positively associated with wealth (OR wealthy = 3.06 [95%CI: 1.88-4.99], OR wealthiest = 2.57 [95%CI: 1.53-4.31]), but it was inversely associated with lack of diverse food crops production in highlands (OR = 0.23; 95%CI: 0.10-0.57]).
Conclusions: Our findings suggest that the burden of poor child nutrition is very high in the study area. Multi-sectoral collaboration and cross-disciplinary interventions between agriculture, nutrition and health sectors are recommended to address child undernutrition in resource poor and food insecure rural communities of similar settings.</description><identifier>ISSN: 1654-9716</identifier><identifier>EISSN: 1654-9880</identifier><identifier>DOI: 10.1080/16549716.2018.1556572</identifier><identifier>PMID: 31154991</identifier><language>eng</language><publisher>United States: Taylor & Francis</publisher><subject>Child malnutrition ; Child Nutrition Disorders - epidemiology ; Child, Preschool ; Children ; Crops ; Cross-Sectional Studies ; Employment ; Ethiopia ; Ethiopia - epidemiology ; Family Characteristics ; Family size ; Female ; Food Supply - statistics & numerical data ; Health problems ; Healthy food ; Humans ; Infant ; Insecurity ; KA-HDSS ; Male ; Malnutrition - epidemiology ; Morbidity ; Nutrition ; nutrition-sensitive drivers ; nutrition-specific drivers ; Nutritional Status ; Original ; Population Surveillance ; Poverty ; Prevalence ; Public health ; Public Health - statistics & numerical data ; Rural communities ; Rural Population - statistics & numerical data ; Surveillance ; Wealth</subject><ispartof>Global health action, 2019-01, Vol.12 (1), p.1556572-1556572</ispartof><rights>2019 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. 2019</rights><rights>2019 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. This work is licensed under the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2019 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. 2019 The Author(s)</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c562t-9230262be057700f3953f535fb6fdb0502514297ca41facdc55058109d093d843</citedby><cites>FETCH-LOGICAL-c562t-9230262be057700f3953f535fb6fdb0502514297ca41facdc55058109d093d843</cites><orcidid>0000-0002-1109-153X ; 0000-0001-7935-719X ; 0000-0002-9284-1231 ; 0000-0001-5871-2586</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/PMC6338276/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6338276/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,2102,27502,27924,27925,53791,53793,59143,59144</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31154991$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Abera, Semaw Ferede</creatorcontrib><creatorcontrib>Kantelhardt, Eva Johanna</creatorcontrib><creatorcontrib>Bezabih, Afewrok Mulugeta</creatorcontrib><creatorcontrib>Gebru, Alemseged Aregay</creatorcontrib><creatorcontrib>Ejeta, Gebisa</creatorcontrib><creatorcontrib>Lauvai, Judith</creatorcontrib><creatorcontrib>Wienke, Andreas</creatorcontrib><creatorcontrib>Scherbaum, Veronika</creatorcontrib><title>Nutrition-specific and sensitive drivers of poor child nutrition in Kilte Awlaelo-Health and Demographic Surveillance Site, Tigray, Northern Ethiopia: implications for public health nutrition in resource-poor settings</title><title>Global health action</title><addtitle>Glob Health Action</addtitle><description>Background: Child undernutrition is a prevalent health problem and poses various short and long-term consequences.
Objective: This study seeks to investigate the burden of child undernutrition and its drivers in Kilte Awlaelo-Health and Demographic Surveillance Site, Tigray, northern Ethiopia.
Methods: In 2015, cross-sectional data were collected from 1,525 children aged 6-23 months. Maternal and child nutritional status was assessed using the mid upper arm circumference. Child's dietary diversity score was calculated using 24-hours dietary recall method. Log-binomial regression and partial proportional odds model were fitted to examine the drivers of poor child nutrition and child dietary diversity (CDD), respectively.
Results: The burden of undernutrition and inadequate CDD was 13.7% (95% CI: 12.1-15.5%) and 81.3% (95%CI: 79.2-83.1%), respectively. Maternal undernutrition (adjusted prevalence ratio, adjPR = 1.47; 95%CI: 1.14-1.89), low CDD (adjPR = 1.90; 95%CI: 1.22-2.97), and morbidity (adjPR = 1.83; 95%CI: 1.15-2.92) were the nutrition-specific drivers of child undernutrition. The nutrition-sensitive drivers were poverty (compared to the poorest, adjPR poor = 0.65 [95%CI:0.45-0.93], adjPR medium = 0.64 [95%CI: 0.44-0.93], adjPR wealthy = 0.46 [95%CI: 0.30-0.70], and adjPR wealthiest = 0.53 [95%CI: 0.34-0.82]), larger family size (adjPR = 1.10; 95%CI: 1.02-1.18), household head's employment insecurity (adjPR = 2.10; 95%CI: 1.43-3.09), and residing in highlands (adjPR = 1.93; 95%CI: 1.36-2.75). The data show that higher CDD was positively associated with wealth (OR wealthy = 3.06 [95%CI: 1.88-4.99], OR wealthiest = 2.57 [95%CI: 1.53-4.31]), but it was inversely associated with lack of diverse food crops production in highlands (OR = 0.23; 95%CI: 0.10-0.57]).
Conclusions: Our findings suggest that the burden of poor child nutrition is very high in the study area. Multi-sectoral collaboration and cross-disciplinary interventions between agriculture, nutrition and health sectors are recommended to address child undernutrition in resource poor and food insecure rural communities of similar settings.</description><subject>Child malnutrition</subject><subject>Child Nutrition Disorders - epidemiology</subject><subject>Child, Preschool</subject><subject>Children</subject><subject>Crops</subject><subject>Cross-Sectional Studies</subject><subject>Employment</subject><subject>Ethiopia</subject><subject>Ethiopia - epidemiology</subject><subject>Family Characteristics</subject><subject>Family size</subject><subject>Female</subject><subject>Food Supply - statistics & numerical data</subject><subject>Health problems</subject><subject>Healthy food</subject><subject>Humans</subject><subject>Infant</subject><subject>Insecurity</subject><subject>KA-HDSS</subject><subject>Male</subject><subject>Malnutrition - epidemiology</subject><subject>Morbidity</subject><subject>Nutrition</subject><subject>nutrition-sensitive drivers</subject><subject>nutrition-specific drivers</subject><subject>Nutritional Status</subject><subject>Original</subject><subject>Population Surveillance</subject><subject>Poverty</subject><subject>Prevalence</subject><subject>Public health</subject><subject>Public Health - statistics & numerical data</subject><subject>Rural communities</subject><subject>Rural Population - statistics & numerical data</subject><subject>Surveillance</subject><subject>Wealth</subject><issn>1654-9716</issn><issn>1654-9880</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>0YH</sourceid><sourceid>EIF</sourceid><sourceid>8G5</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><sourceid>DOA</sourceid><recordid>eNp9kstu1DAUhiMEoqXwCCBLbFg0gy9xLiwQVSm0oiqLlrXl2CcTV544tZ2p5lF5Gzy3imHBxraO__Od4-M_y94SPCO4xh9JyYumIuWMYlLPCOclr-iz7Hgdz5u6xs_35yQ6yl6FcI9xyaqKvcyOGCEpuyHH2e-bKXoTjRvyMIIynVFIDhoFGEIKLwFpn1YfkOvQ6JxHqjdWo2GfhsyAfhgbAZ09WgnW5Zcgbew3lK-wcHMvxz5Rbye_BGOtHBSgWxPhFN2ZdLk6RTfOxx78gC5ib9xo5CdkFqM1Sq4rBNSlsuPUpgDqt_CD8h6Cm7yCfNNfgBjNMA-vsxedtAHe7PaT7Ne3i7vzy_z65_er87PrXPGSxryhDNOStoB5VWHcsYazjjPetWWnW8wx5aSgTaVkQTqptOIc85rgRuOG6bpgJ9nVlqudvBejNwvpV8JJIzYB5-dC-miUBYFp1QBpy0KCLgrdtKpsNS10Cy1WQHFifd6y0msXoBUM0Ut7AD28GUwv5m4pSsZqWpUJ8GEH8O5hghDFwgQF66mDm4KglBVFXVJMk_T9P9L7NMUhjUpQxgkuSMFJUvGtSnkXgofuqRmCxdqIYm9EsTai2Bkx5b37-yVPWXvnJcGXrcAM6XsX8tF5q0WUK-t855NJTEji_9b4AxDK8sA</recordid><startdate>20190101</startdate><enddate>20190101</enddate><creator>Abera, Semaw Ferede</creator><creator>Kantelhardt, Eva Johanna</creator><creator>Bezabih, Afewrok Mulugeta</creator><creator>Gebru, Alemseged Aregay</creator><creator>Ejeta, Gebisa</creator><creator>Lauvai, Judith</creator><creator>Wienke, Andreas</creator><creator>Scherbaum, Veronika</creator><general>Taylor & Francis</general><general>Taylor & Francis Ltd</general><general>Taylor & Francis Group</general><scope>0YH</scope><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>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8BJ</scope><scope>8C1</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FQK</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>JBE</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>M2O</scope><scope>MBDVC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-1109-153X</orcidid><orcidid>https://orcid.org/0000-0001-7935-719X</orcidid><orcidid>https://orcid.org/0000-0002-9284-1231</orcidid><orcidid>https://orcid.org/0000-0001-5871-2586</orcidid></search><sort><creationdate>20190101</creationdate><title>Nutrition-specific and sensitive drivers of poor child nutrition in Kilte Awlaelo-Health and Demographic Surveillance Site, Tigray, Northern Ethiopia: implications for public health nutrition in resource-poor settings</title><author>Abera, Semaw Ferede ; Kantelhardt, Eva Johanna ; Bezabih, Afewrok Mulugeta ; Gebru, Alemseged Aregay ; Ejeta, Gebisa ; Lauvai, Judith ; Wienke, Andreas ; Scherbaum, Veronika</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c562t-9230262be057700f3953f535fb6fdb0502514297ca41facdc55058109d093d843</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Child malnutrition</topic><topic>Child Nutrition Disorders - epidemiology</topic><topic>Child, Preschool</topic><topic>Children</topic><topic>Crops</topic><topic>Cross-Sectional Studies</topic><topic>Employment</topic><topic>Ethiopia</topic><topic>Ethiopia - epidemiology</topic><topic>Family Characteristics</topic><topic>Family size</topic><topic>Female</topic><topic>Food Supply - statistics & numerical data</topic><topic>Health problems</topic><topic>Healthy food</topic><topic>Humans</topic><topic>Infant</topic><topic>Insecurity</topic><topic>KA-HDSS</topic><topic>Male</topic><topic>Malnutrition - epidemiology</topic><topic>Morbidity</topic><topic>Nutrition</topic><topic>nutrition-sensitive drivers</topic><topic>nutrition-specific drivers</topic><topic>Nutritional Status</topic><topic>Original</topic><topic>Population Surveillance</topic><topic>Poverty</topic><topic>Prevalence</topic><topic>Public health</topic><topic>Public Health - statistics & numerical data</topic><topic>Rural communities</topic><topic>Rural Population - statistics & numerical data</topic><topic>Surveillance</topic><topic>Wealth</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Abera, Semaw Ferede</creatorcontrib><creatorcontrib>Kantelhardt, Eva Johanna</creatorcontrib><creatorcontrib>Bezabih, Afewrok Mulugeta</creatorcontrib><creatorcontrib>Gebru, Alemseged Aregay</creatorcontrib><creatorcontrib>Ejeta, Gebisa</creatorcontrib><creatorcontrib>Lauvai, Judith</creatorcontrib><creatorcontrib>Wienke, Andreas</creatorcontrib><creatorcontrib>Scherbaum, Veronika</creatorcontrib><collection>Taylor & Francis Open Access</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>International Bibliography of the Social Sciences (IBSS)</collection><collection>Public Health Database</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>International Bibliography of the Social Sciences</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>International Bibliography of the Social Sciences</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Research Library</collection><collection>Research Library (Corporate)</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>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Global health action</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Abera, Semaw Ferede</au><au>Kantelhardt, Eva Johanna</au><au>Bezabih, Afewrok Mulugeta</au><au>Gebru, Alemseged Aregay</au><au>Ejeta, Gebisa</au><au>Lauvai, Judith</au><au>Wienke, Andreas</au><au>Scherbaum, Veronika</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Nutrition-specific and sensitive drivers of poor child nutrition in Kilte Awlaelo-Health and Demographic Surveillance Site, Tigray, Northern Ethiopia: implications for public health nutrition in resource-poor settings</atitle><jtitle>Global health action</jtitle><addtitle>Glob Health Action</addtitle><date>2019-01-01</date><risdate>2019</risdate><volume>12</volume><issue>1</issue><spage>1556572</spage><epage>1556572</epage><pages>1556572-1556572</pages><issn>1654-9716</issn><eissn>1654-9880</eissn><abstract>Background: Child undernutrition is a prevalent health problem and poses various short and long-term consequences.
Objective: This study seeks to investigate the burden of child undernutrition and its drivers in Kilte Awlaelo-Health and Demographic Surveillance Site, Tigray, northern Ethiopia.
Methods: In 2015, cross-sectional data were collected from 1,525 children aged 6-23 months. Maternal and child nutritional status was assessed using the mid upper arm circumference. Child's dietary diversity score was calculated using 24-hours dietary recall method. Log-binomial regression and partial proportional odds model were fitted to examine the drivers of poor child nutrition and child dietary diversity (CDD), respectively.
Results: The burden of undernutrition and inadequate CDD was 13.7% (95% CI: 12.1-15.5%) and 81.3% (95%CI: 79.2-83.1%), respectively. Maternal undernutrition (adjusted prevalence ratio, adjPR = 1.47; 95%CI: 1.14-1.89), low CDD (adjPR = 1.90; 95%CI: 1.22-2.97), and morbidity (adjPR = 1.83; 95%CI: 1.15-2.92) were the nutrition-specific drivers of child undernutrition. The nutrition-sensitive drivers were poverty (compared to the poorest, adjPR poor = 0.65 [95%CI:0.45-0.93], adjPR medium = 0.64 [95%CI: 0.44-0.93], adjPR wealthy = 0.46 [95%CI: 0.30-0.70], and adjPR wealthiest = 0.53 [95%CI: 0.34-0.82]), larger family size (adjPR = 1.10; 95%CI: 1.02-1.18), household head's employment insecurity (adjPR = 2.10; 95%CI: 1.43-3.09), and residing in highlands (adjPR = 1.93; 95%CI: 1.36-2.75). The data show that higher CDD was positively associated with wealth (OR wealthy = 3.06 [95%CI: 1.88-4.99], OR wealthiest = 2.57 [95%CI: 1.53-4.31]), but it was inversely associated with lack of diverse food crops production in highlands (OR = 0.23; 95%CI: 0.10-0.57]).
Conclusions: Our findings suggest that the burden of poor child nutrition is very high in the study area. Multi-sectoral collaboration and cross-disciplinary interventions between agriculture, nutrition and health sectors are recommended to address child undernutrition in resource poor and food insecure rural communities of similar settings.</abstract><cop>United States</cop><pub>Taylor & Francis</pub><pmid>31154991</pmid><doi>10.1080/16549716.2018.1556572</doi><tpages>1</tpages><orcidid>https://orcid.org/0000-0002-1109-153X</orcidid><orcidid>https://orcid.org/0000-0001-7935-719X</orcidid><orcidid>https://orcid.org/0000-0002-9284-1231</orcidid><orcidid>https://orcid.org/0000-0001-5871-2586</orcidid><oa>free_for_read</oa></addata></record> |
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| issn | 1654-9716 1654-9880 |
| language | eng |
| recordid | cdi_pubmed_primary_31154991 |
| source | Taylor & Francis Open Access; MEDLINE; DOAJ Directory of Open Access Journals; Co-Action Open Access Journals; EZB-FREE-00999 freely available EZB journals; PubMed Central |
| subjects | Child malnutrition Child Nutrition Disorders - epidemiology Child, Preschool Children Crops Cross-Sectional Studies Employment Ethiopia Ethiopia - epidemiology Family Characteristics Family size Female Food Supply - statistics & numerical data Health problems Healthy food Humans Infant Insecurity KA-HDSS Male Malnutrition - epidemiology Morbidity Nutrition nutrition-sensitive drivers nutrition-specific drivers Nutritional Status Original Population Surveillance Poverty Prevalence Public health Public Health - statistics & numerical data Rural communities Rural Population - statistics & numerical data Surveillance Wealth |
| title | Nutrition-specific and sensitive drivers of poor child nutrition in Kilte Awlaelo-Health and Demographic Surveillance Site, Tigray, Northern Ethiopia: implications for public health nutrition in resource-poor settings |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-06T16%3A02%3A44IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Nutrition-specific%20and%20sensitive%20drivers%20of%20poor%20child%20nutrition%20in%20Kilte%20Awlaelo-Health%20and%20Demographic%20Surveillance%20Site,%20Tigray,%20Northern%20Ethiopia:%20implications%20for%20public%20health%20nutrition%20in%20resource-poor%20settings&rft.jtitle=Global%20health%20action&rft.au=Abera,%20Semaw%20Ferede&rft.date=2019-01-01&rft.volume=12&rft.issue=1&rft.spage=1556572&rft.epage=1556572&rft.pages=1556572-1556572&rft.issn=1654-9716&rft.eissn=1654-9880&rft_id=info:doi/10.1080/16549716.2018.1556572&rft_dat=%3Cproquest_pubme%3E2351041451%3C/proquest_pubme%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2351041451&rft_id=info:pmid/31154991&rft_doaj_id=oai_doaj_org_article_0279e1b64aed44d9bc6bd24dbeb0ce20&rfr_iscdi=true |