Cross-sectional study of malnutrition and associated factors among school aged children in rural and urban settings of Fogera and Libo Kemkem districts, Ethiopia
Little information is available on malnutrition-related factors among school-aged children ≥5 years in Ethiopia. This study describes the prevalence of stunting and thinness and their related factors in Libo Kemkem and Fogera, Amhara Regional State and assesses differences between urban and rural ar...
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description | Little information is available on malnutrition-related factors among school-aged children ≥5 years in Ethiopia. This study describes the prevalence of stunting and thinness and their related factors in Libo Kemkem and Fogera, Amhara Regional State and assesses differences between urban and rural areas.
In this cross-sectional study, anthropometrics and individual and household characteristics data were collected from 886 children. Height-for-age z-score for stunting and body-mass-index-for-age z-score for thinness were computed. Dietary data were collected through a 24-hour recall. Bivariate and backward stepwise multivariable statistical methods were employed to assess malnutrition-associated factors in rural and urban communities.
The prevalence of stunting among school-aged children was 42.7% in rural areas and 29.2% in urban areas, while the corresponding figures for thinness were 21.6% and 20.8%. Age differences were significant in both strata. In the rural setting, fever in the previous 2 weeks (OR: 1.62; 95% CI: 1.23-2.32), consumption of food from animal sources (OR: 0.51; 95% CI: 0.29-0.91) and consumption of the family's own cattle products (OR: 0.50; 95% CI: 0.27-0.93), among others factors were significantly associated with stunting, while in the urban setting, only age (OR: 4.62; 95% CI: 2.09-10.21) and years of schooling of the person in charge of food preparation were significant (OR: 0.88; 95% CI: 0.79-0.97). Thinness was statistically associated with number of children living in the house (OR: 1.28; 95% CI: 1.03-1.60) and family rice cultivation (OR: 0.64; 95% CI: 0.41-0.99) in the rural setting, and with consumption of food from animal sources (OR: 0.26; 95% CI: 0.10-0.67) and literacy of head of household (OR: 0.24; 95% CI: 0.09-0.65) in the urban setting.
The prevalence of stunting was significantly higher in rural areas, whereas no significant differences were observed for thinness. Various factors were associated with one or both types of malnutrition, and varied by type of setting. To effectively tackle malnutrition, nutritional programs should be oriented to local needs. |
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In this cross-sectional study, anthropometrics and individual and household characteristics data were collected from 886 children. Height-for-age z-score for stunting and body-mass-index-for-age z-score for thinness were computed. Dietary data were collected through a 24-hour recall. Bivariate and backward stepwise multivariable statistical methods were employed to assess malnutrition-associated factors in rural and urban communities.
The prevalence of stunting among school-aged children was 42.7% in rural areas and 29.2% in urban areas, while the corresponding figures for thinness were 21.6% and 20.8%. Age differences were significant in both strata. In the rural setting, fever in the previous 2 weeks (OR: 1.62; 95% CI: 1.23-2.32), consumption of food from animal sources (OR: 0.51; 95% CI: 0.29-0.91) and consumption of the family's own cattle products (OR: 0.50; 95% CI: 0.27-0.93), among others factors were significantly associated with stunting, while in the urban setting, only age (OR: 4.62; 95% CI: 2.09-10.21) and years of schooling of the person in charge of food preparation were significant (OR: 0.88; 95% CI: 0.79-0.97). Thinness was statistically associated with number of children living in the house (OR: 1.28; 95% CI: 1.03-1.60) and family rice cultivation (OR: 0.64; 95% CI: 0.41-0.99) in the rural setting, and with consumption of food from animal sources (OR: 0.26; 95% CI: 0.10-0.67) and literacy of head of household (OR: 0.24; 95% CI: 0.09-0.65) in the urban setting.
The prevalence of stunting was significantly higher in rural areas, whereas no significant differences were observed for thinness. Various factors were associated with one or both types of malnutrition, and varied by type of setting. To effectively tackle malnutrition, nutritional programs should be oriented to local needs.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0105880</identifier><identifier>PMID: 25265481</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Adolescent ; Age ; Age differences ; Biology and Life Sciences ; Bivariate analysis ; Charge preparation ; Child ; Child, Preschool ; Children ; Children & youth ; Childrens health ; Cross-Sectional Studies ; Cultivation ; Developing countries ; Diet ; Education ; Epidemiology ; Ethiopia - epidemiology ; Fever ; Food ; Food consumption ; Food sources ; Food supply ; Gender ; Grain cultivation ; Health care ; Households ; Humans ; LDCs ; Livestock ; Low income groups ; Malnutrition ; Malnutrition - complications ; Malnutrition - epidemiology ; Medicine and Health Sciences ; Nutrition ; Preventive medicine ; Public health ; Regional analysis ; Rural areas ; Rural Population ; Social Sciences ; Statistical methods ; Tropical diseases ; Urban areas ; Urban environments ; Urban Population ; Womens health</subject><ispartof>PloS one, 2014-09, Vol.9 (9), p.e105880-e105880</ispartof><rights>2014 Herrador 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>2014 Herrador et al 2014 Herrador et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c526t-e707eaf1e823f97b10325c370ea4cb3abd86a16a489a16d1283bf1efa250aec13</citedby><cites>FETCH-LOGICAL-c526t-e707eaf1e823f97b10325c370ea4cb3abd86a16a489a16d1283bf1efa250aec13</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4179248/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4179248/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,2095,2914,23846,27903,27904,53770,53772,79347,79348</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/25265481$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Jaspan, Heather B.</contributor><creatorcontrib>Herrador, Zaida</creatorcontrib><creatorcontrib>Sordo, Luis</creatorcontrib><creatorcontrib>Gadisa, Endalamaw</creatorcontrib><creatorcontrib>Moreno, Javier</creatorcontrib><creatorcontrib>Nieto, Javier</creatorcontrib><creatorcontrib>Benito, Agustín</creatorcontrib><creatorcontrib>Aseffa, Abraham</creatorcontrib><creatorcontrib>Cañavate, Carmen</creatorcontrib><creatorcontrib>Custodio, Estefania</creatorcontrib><title>Cross-sectional study of malnutrition and associated factors among school aged children in rural and urban settings of Fogera and Libo Kemkem districts, Ethiopia</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Little information is available on malnutrition-related factors among school-aged children ≥5 years in Ethiopia. This study describes the prevalence of stunting and thinness and their related factors in Libo Kemkem and Fogera, Amhara Regional State and assesses differences between urban and rural areas.
In this cross-sectional study, anthropometrics and individual and household characteristics data were collected from 886 children. Height-for-age z-score for stunting and body-mass-index-for-age z-score for thinness were computed. Dietary data were collected through a 24-hour recall. Bivariate and backward stepwise multivariable statistical methods were employed to assess malnutrition-associated factors in rural and urban communities.
The prevalence of stunting among school-aged children was 42.7% in rural areas and 29.2% in urban areas, while the corresponding figures for thinness were 21.6% and 20.8%. Age differences were significant in both strata. In the rural setting, fever in the previous 2 weeks (OR: 1.62; 95% CI: 1.23-2.32), consumption of food from animal sources (OR: 0.51; 95% CI: 0.29-0.91) and consumption of the family's own cattle products (OR: 0.50; 95% CI: 0.27-0.93), among others factors were significantly associated with stunting, while in the urban setting, only age (OR: 4.62; 95% CI: 2.09-10.21) and years of schooling of the person in charge of food preparation were significant (OR: 0.88; 95% CI: 0.79-0.97). Thinness was statistically associated with number of children living in the house (OR: 1.28; 95% CI: 1.03-1.60) and family rice cultivation (OR: 0.64; 95% CI: 0.41-0.99) in the rural setting, and with consumption of food from animal sources (OR: 0.26; 95% CI: 0.10-0.67) and literacy of head of household (OR: 0.24; 95% CI: 0.09-0.65) in the urban setting.
The prevalence of stunting was significantly higher in rural areas, whereas no significant differences were observed for thinness. Various factors were associated with one or both types of malnutrition, and varied by type of setting. To effectively tackle malnutrition, nutritional programs should be oriented to local needs.</description><subject>Adolescent</subject><subject>Age</subject><subject>Age differences</subject><subject>Biology and Life Sciences</subject><subject>Bivariate analysis</subject><subject>Charge preparation</subject><subject>Child</subject><subject>Child, Preschool</subject><subject>Children</subject><subject>Children & youth</subject><subject>Childrens health</subject><subject>Cross-Sectional Studies</subject><subject>Cultivation</subject><subject>Developing countries</subject><subject>Diet</subject><subject>Education</subject><subject>Epidemiology</subject><subject>Ethiopia - epidemiology</subject><subject>Fever</subject><subject>Food</subject><subject>Food consumption</subject><subject>Food sources</subject><subject>Food supply</subject><subject>Gender</subject><subject>Grain cultivation</subject><subject>Health care</subject><subject>Households</subject><subject>Humans</subject><subject>LDCs</subject><subject>Livestock</subject><subject>Low income groups</subject><subject>Malnutrition</subject><subject>Malnutrition - complications</subject><subject>Malnutrition - epidemiology</subject><subject>Medicine and Health Sciences</subject><subject>Nutrition</subject><subject>Preventive medicine</subject><subject>Public health</subject><subject>Regional analysis</subject><subject>Rural areas</subject><subject>Rural Population</subject><subject>Social Sciences</subject><subject>Statistical methods</subject><subject>Tropical diseases</subject><subject>Urban areas</subject><subject>Urban environments</subject><subject>Urban Population</subject><subject>Womens health</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>DOA</sourceid><recordid>eNptUk1v1DAQjRCIlsI_QGCJCwe2-CNOnEsltGqhYiUucLYm9iTrJbEX20Hqz-GfknS3VYs4jeV578280SuK14yeM1Gzj7swRQ_D-T54PKeMSqXok-KUNYKvKk7F0wfvk-JFSjtKpVBV9bw44ZJXslTstPizjiGlVUKTXZjlSMqTvSGhIyMMfsrRLf8EvCWQUjAOMlrSgckhJgJj8D1JZhvCQKCfO2brBhvRE-dJnOIsuFCn2IInCXN2vk-L-lXoMcJtc-PaQL7i-BNHYl2aR5qcPpDLvHVh7-Bl8ayDIeGrYz0rflxdfl9_WW2-fb5ef9qszGwmr7CmNULHUHHRNXXLqODSiJoilKYV0FpVAaugVM1cLONKtDO6Ay4poGHirHh70N0PIenjdZNmsqoEZ6pWM-L6gLABdnof3QjxRgdw-vYjxF5DzM4MqE1n6hpLblCaUkrRVq1srG0aW3alsu2sdXGcNrUjWoM-z8d6JPq4491W9-G3Llnd8HJZ5v1RIIZfE6asR5cMDgN4DNNhb8WppIuzd_9A_--uPKDMkoiI3f0yjOolcXcsvSROHxM30948NHJPuouY-Atuqtir</recordid><startdate>20140929</startdate><enddate>20140929</enddate><creator>Herrador, Zaida</creator><creator>Sordo, Luis</creator><creator>Gadisa, Endalamaw</creator><creator>Moreno, Javier</creator><creator>Nieto, Javier</creator><creator>Benito, Agustín</creator><creator>Aseffa, Abraham</creator><creator>Cañavate, Carmen</creator><creator>Custodio, Estefania</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>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></search><sort><creationdate>20140929</creationdate><title>Cross-sectional study of malnutrition and associated factors among school aged children in rural and urban settings of Fogera and Libo Kemkem districts, Ethiopia</title><author>Herrador, Zaida ; Sordo, Luis ; Gadisa, Endalamaw ; Moreno, Javier ; Nieto, Javier ; Benito, Agustín ; Aseffa, Abraham ; Cañavate, Carmen ; Custodio, Estefania</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c526t-e707eaf1e823f97b10325c370ea4cb3abd86a16a489a16d1283bf1efa250aec13</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Adolescent</topic><topic>Age</topic><topic>Age differences</topic><topic>Biology and Life Sciences</topic><topic>Bivariate analysis</topic><topic>Charge preparation</topic><topic>Child</topic><topic>Child, Preschool</topic><topic>Children</topic><topic>Children & youth</topic><topic>Childrens health</topic><topic>Cross-Sectional Studies</topic><topic>Cultivation</topic><topic>Developing countries</topic><topic>Diet</topic><topic>Education</topic><topic>Epidemiology</topic><topic>Ethiopia - epidemiology</topic><topic>Fever</topic><topic>Food</topic><topic>Food consumption</topic><topic>Food sources</topic><topic>Food supply</topic><topic>Gender</topic><topic>Grain cultivation</topic><topic>Health care</topic><topic>Households</topic><topic>Humans</topic><topic>LDCs</topic><topic>Livestock</topic><topic>Low income groups</topic><topic>Malnutrition</topic><topic>Malnutrition - complications</topic><topic>Malnutrition - epidemiology</topic><topic>Medicine and Health Sciences</topic><topic>Nutrition</topic><topic>Preventive medicine</topic><topic>Public health</topic><topic>Regional analysis</topic><topic>Rural areas</topic><topic>Rural Population</topic><topic>Social Sciences</topic><topic>Statistical methods</topic><topic>Tropical diseases</topic><topic>Urban areas</topic><topic>Urban environments</topic><topic>Urban Population</topic><topic>Womens health</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Herrador, Zaida</creatorcontrib><creatorcontrib>Sordo, Luis</creatorcontrib><creatorcontrib>Gadisa, Endalamaw</creatorcontrib><creatorcontrib>Moreno, Javier</creatorcontrib><creatorcontrib>Nieto, Javier</creatorcontrib><creatorcontrib>Benito, Agustín</creatorcontrib><creatorcontrib>Aseffa, Abraham</creatorcontrib><creatorcontrib>Cañavate, Carmen</creatorcontrib><creatorcontrib>Custodio, Estefania</creatorcontrib><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>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 - 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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>Herrador, Zaida</au><au>Sordo, Luis</au><au>Gadisa, Endalamaw</au><au>Moreno, Javier</au><au>Nieto, Javier</au><au>Benito, Agustín</au><au>Aseffa, Abraham</au><au>Cañavate, Carmen</au><au>Custodio, Estefania</au><au>Jaspan, Heather B.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Cross-sectional study of malnutrition and associated factors among school aged children in rural and urban settings of Fogera and Libo Kemkem districts, Ethiopia</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2014-09-29</date><risdate>2014</risdate><volume>9</volume><issue>9</issue><spage>e105880</spage><epage>e105880</epage><pages>e105880-e105880</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Little information is available on malnutrition-related factors among school-aged children ≥5 years in Ethiopia. This study describes the prevalence of stunting and thinness and their related factors in Libo Kemkem and Fogera, Amhara Regional State and assesses differences between urban and rural areas.
In this cross-sectional study, anthropometrics and individual and household characteristics data were collected from 886 children. Height-for-age z-score for stunting and body-mass-index-for-age z-score for thinness were computed. Dietary data were collected through a 24-hour recall. Bivariate and backward stepwise multivariable statistical methods were employed to assess malnutrition-associated factors in rural and urban communities.
The prevalence of stunting among school-aged children was 42.7% in rural areas and 29.2% in urban areas, while the corresponding figures for thinness were 21.6% and 20.8%. Age differences were significant in both strata. In the rural setting, fever in the previous 2 weeks (OR: 1.62; 95% CI: 1.23-2.32), consumption of food from animal sources (OR: 0.51; 95% CI: 0.29-0.91) and consumption of the family's own cattle products (OR: 0.50; 95% CI: 0.27-0.93), among others factors were significantly associated with stunting, while in the urban setting, only age (OR: 4.62; 95% CI: 2.09-10.21) and years of schooling of the person in charge of food preparation were significant (OR: 0.88; 95% CI: 0.79-0.97). Thinness was statistically associated with number of children living in the house (OR: 1.28; 95% CI: 1.03-1.60) and family rice cultivation (OR: 0.64; 95% CI: 0.41-0.99) in the rural setting, and with consumption of food from animal sources (OR: 0.26; 95% CI: 0.10-0.67) and literacy of head of household (OR: 0.24; 95% CI: 0.09-0.65) in the urban setting.
The prevalence of stunting was significantly higher in rural areas, whereas no significant differences were observed for thinness. Various factors were associated with one or both types of malnutrition, and varied by type of setting. To effectively tackle malnutrition, nutritional programs should be oriented to local needs.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>25265481</pmid><doi>10.1371/journal.pone.0105880</doi><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1932-6203 |
ispartof | PloS one, 2014-09, Vol.9 (9), p.e105880-e105880 |
issn | 1932-6203 1932-6203 |
language | eng |
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source | MEDLINE; DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; Public Library of Science (PLoS); PubMed Central; Free Full-Text Journals in Chemistry |
subjects | Adolescent Age Age differences Biology and Life Sciences Bivariate analysis Charge preparation Child Child, Preschool Children Children & youth Childrens health Cross-Sectional Studies Cultivation Developing countries Diet Education Epidemiology Ethiopia - epidemiology Fever Food Food consumption Food sources Food supply Gender Grain cultivation Health care Households Humans LDCs Livestock Low income groups Malnutrition Malnutrition - complications Malnutrition - epidemiology Medicine and Health Sciences Nutrition Preventive medicine Public health Regional analysis Rural areas Rural Population Social Sciences Statistical methods Tropical diseases Urban areas Urban environments Urban Population Womens health |
title | Cross-sectional study of malnutrition and associated factors among school aged children in rural and urban settings of Fogera and Libo Kemkem districts, Ethiopia |
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