KANG et al
This study explores common factors associated with not meeting minimum dietary diversity (MDD) among 27,072 children aged 6–23 months in Eastern and Southern Africa using data from nine Demographic and Health Surveys from 2013 to 2016. MDD was defined as consumption of more than or equals to five of...
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Veröffentlicht in: | Maternal and child nutrition 2023-07, Vol.19 (3) |
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container_title | Maternal and child nutrition |
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creator | Kang, Yunhee Heidkamp, Rebecca A Mako-Mushaninga, Kudakwashe Garg, Aashima Matji, Joan N Nyawo, Mara Craig, Hope C Thorne-Lyman, Andrew L |
description | This study explores common factors associated with not meeting minimum dietary diversity (MDD) among 27,072 children aged 6–23 months in Eastern and Southern Africa using data from nine Demographic and Health Surveys from 2013 to 2016. MDD was defined as consumption of more than or equals to five of eight food groups including breast milk in the past 24 h. Equity gaps were calculated as the difference in MDD prevalence between the top and bottom wealth quintiles. Logistic regression was conducted to identify common factors for not meeting MDD at the household, maternal and child levels across two or more countries to inform regional policies to improve children's diets. Kenya had the highest MDD wealth equity gap (40.4 pts), and South Africa had the smallest (14.4 pts). Equity gaps for flesh foods or eggs (up to 39.8 pp) were larger than for grain or legumes (up to 20 pp). Common risk factors for not reaching MDD included younger child age (6–11 months) (n = 9 countries), no formal maternal occupation (n = 6), not receiving vitamin-A supplementation (n = 3), younger maternal age (n = 3), lower maternal education (n = 3), no media (n = 3) or newspaper (n = 3) exposure, lower household wealth quintile (n = 3), use of nonefficient cooking fuel (n = 2), longer time to get to the water source (n = 2), not listening to the radio (n = 2) and higher birth order (n = 2). Priorities for improving MDD in the region include introducing diverse foods at a young age from 6 months with early nutrition counselling, promoting higher maternal education, increasing food purchasing power and ensuring the support of younger mothers. |
doi_str_mv | 10.1111/mcn.13487 |
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MDD was defined as consumption of more than or equals to five of eight food groups including breast milk in the past 24 h. Equity gaps were calculated as the difference in MDD prevalence between the top and bottom wealth quintiles. Logistic regression was conducted to identify common factors for not meeting MDD at the household, maternal and child levels across two or more countries to inform regional policies to improve children's diets. Kenya had the highest MDD wealth equity gap (40.4 pts), and South Africa had the smallest (14.4 pts). Equity gaps for flesh foods or eggs (up to 39.8 pp) were larger than for grain or legumes (up to 20 pp). Common risk factors for not reaching MDD included younger child age (6–11 months) (n = 9 countries), no formal maternal occupation (n = 6), not receiving vitamin-A supplementation (n = 3), younger maternal age (n = 3), lower maternal education (n = 3), no media (n = 3) or newspaper (n = 3) exposure, lower household wealth quintile (n = 3), use of nonefficient cooking fuel (n = 2), longer time to get to the water source (n = 2), not listening to the radio (n = 2) and higher birth order (n = 2). Priorities for improving MDD in the region include introducing diverse foods at a young age from 6 months with early nutrition counselling, promoting higher maternal education, increasing food purchasing power and ensuring the support of younger mothers.</description><identifier>ISSN: 1740-8695</identifier><identifier>EISSN: 1740-8709</identifier><identifier>DOI: 10.1111/mcn.13487</identifier><language>eng</language><publisher>Oxford: John Wiley & Sons, Inc</publisher><subject>Age ; Birth order ; Breast milk ; Breastfeeding & lactation ; Children ; Children & youth ; Cooking ; Diet ; Dietary supplements ; Drinking water ; Education ; Eggs ; Food ; Food consumption ; Food groups ; Fruits ; Health surveys ; Healthy food ; Households ; Legumes ; Mass media ; Milk ; Mothers ; Nutrition ; Nutrition research ; Purchasing power ; Risk factors ; Vegetables ; Wealth</subject><ispartof>Maternal and child nutrition, 2023-07, Vol.19 (3)</ispartof><rights>2023. 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Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,860,12825,27901,27902,30976</link.rule.ids></links><search><creatorcontrib>Kang, Yunhee</creatorcontrib><creatorcontrib>Heidkamp, Rebecca A</creatorcontrib><creatorcontrib>Mako-Mushaninga, Kudakwashe</creatorcontrib><creatorcontrib>Garg, Aashima</creatorcontrib><creatorcontrib>Matji, Joan N</creatorcontrib><creatorcontrib>Nyawo, Mara</creatorcontrib><creatorcontrib>Craig, Hope C</creatorcontrib><creatorcontrib>Thorne-Lyman, Andrew L</creatorcontrib><title>KANG et al</title><title>Maternal and child nutrition</title><description>This study explores common factors associated with not meeting minimum dietary diversity (MDD) among 27,072 children aged 6–23 months in Eastern and Southern Africa using data from nine Demographic and Health Surveys from 2013 to 2016. MDD was defined as consumption of more than or equals to five of eight food groups including breast milk in the past 24 h. Equity gaps were calculated as the difference in MDD prevalence between the top and bottom wealth quintiles. Logistic regression was conducted to identify common factors for not meeting MDD at the household, maternal and child levels across two or more countries to inform regional policies to improve children's diets. Kenya had the highest MDD wealth equity gap (40.4 pts), and South Africa had the smallest (14.4 pts). Equity gaps for flesh foods or eggs (up to 39.8 pp) were larger than for grain or legumes (up to 20 pp). Common risk factors for not reaching MDD included younger child age (6–11 months) (n = 9 countries), no formal maternal occupation (n = 6), not receiving vitamin-A supplementation (n = 3), younger maternal age (n = 3), lower maternal education (n = 3), no media (n = 3) or newspaper (n = 3) exposure, lower household wealth quintile (n = 3), use of nonefficient cooking fuel (n = 2), longer time to get to the water source (n = 2), not listening to the radio (n = 2) and higher birth order (n = 2). Priorities for improving MDD in the region include introducing diverse foods at a young age from 6 months with early nutrition counselling, promoting higher maternal education, increasing food purchasing power and ensuring the support of younger mothers.</description><subject>Age</subject><subject>Birth order</subject><subject>Breast milk</subject><subject>Breastfeeding & lactation</subject><subject>Children</subject><subject>Children & youth</subject><subject>Cooking</subject><subject>Diet</subject><subject>Dietary supplements</subject><subject>Drinking water</subject><subject>Education</subject><subject>Eggs</subject><subject>Food</subject><subject>Food consumption</subject><subject>Food groups</subject><subject>Fruits</subject><subject>Health surveys</subject><subject>Healthy food</subject><subject>Households</subject><subject>Legumes</subject><subject>Mass media</subject><subject>Milk</subject><subject>Mothers</subject><subject>Nutrition</subject><subject>Nutrition research</subject><subject>Purchasing power</subject><subject>Risk factors</subject><subject>Vegetables</subject><subject>Wealth</subject><issn>1740-8695</issn><issn>1740-8709</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>7QJ</sourceid><sourceid>BENPR</sourceid><recordid>eNpjYBA0NNAzBAL93OQ8PUNjEwtzJgZOQ3MTA10LcwNLFhjbzNKUg4GruDjLwMAYBDgZuLwd_dwVUksUEnN4GFjTEnOKU3mhNDeDsptriLOHbkFRfmFpanFJfFZ-aVEeUCreyNLQ1MDM3MDYwpg4VQCL4Sk5</recordid><startdate>20230701</startdate><enddate>20230701</enddate><creator>Kang, Yunhee</creator><creator>Heidkamp, Rebecca A</creator><creator>Mako-Mushaninga, Kudakwashe</creator><creator>Garg, Aashima</creator><creator>Matji, Joan N</creator><creator>Nyawo, Mara</creator><creator>Craig, Hope C</creator><creator>Thorne-Lyman, Andrew L</creator><general>John Wiley & Sons, Inc</general><scope>3V.</scope><scope>7QJ</scope><scope>7RV</scope><scope>7X7</scope><scope>7XB</scope><scope>8C1</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>KB0</scope><scope>M0S</scope><scope>NAPCQ</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope></search><sort><creationdate>20230701</creationdate><title>KANG et al</title><author>Kang, Yunhee ; Heidkamp, Rebecca A ; Mako-Mushaninga, Kudakwashe ; Garg, Aashima ; Matji, Joan N ; Nyawo, Mara ; Craig, Hope C ; Thorne-Lyman, Andrew L</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-proquest_journals_29150670383</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Age</topic><topic>Birth order</topic><topic>Breast milk</topic><topic>Breastfeeding & lactation</topic><topic>Children</topic><topic>Children & youth</topic><topic>Cooking</topic><topic>Diet</topic><topic>Dietary supplements</topic><topic>Drinking water</topic><topic>Education</topic><topic>Eggs</topic><topic>Food</topic><topic>Food consumption</topic><topic>Food groups</topic><topic>Fruits</topic><topic>Health surveys</topic><topic>Healthy food</topic><topic>Households</topic><topic>Legumes</topic><topic>Mass media</topic><topic>Milk</topic><topic>Mothers</topic><topic>Nutrition</topic><topic>Nutrition research</topic><topic>Purchasing power</topic><topic>Risk factors</topic><topic>Vegetables</topic><topic>Wealth</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kang, Yunhee</creatorcontrib><creatorcontrib>Heidkamp, Rebecca A</creatorcontrib><creatorcontrib>Mako-Mushaninga, Kudakwashe</creatorcontrib><creatorcontrib>Garg, Aashima</creatorcontrib><creatorcontrib>Matji, Joan N</creatorcontrib><creatorcontrib>Nyawo, Mara</creatorcontrib><creatorcontrib>Craig, Hope C</creatorcontrib><creatorcontrib>Thorne-Lyman, Andrew L</creatorcontrib><collection>ProQuest Central (Corporate)</collection><collection>Applied Social Sciences Index & Abstracts (ASSIA)</collection><collection>Nursing & Allied Health Database</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</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>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</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>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Nursing & Allied Health Premium</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><jtitle>Maternal and child nutrition</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kang, Yunhee</au><au>Heidkamp, Rebecca A</au><au>Mako-Mushaninga, Kudakwashe</au><au>Garg, Aashima</au><au>Matji, Joan N</au><au>Nyawo, Mara</au><au>Craig, Hope C</au><au>Thorne-Lyman, Andrew L</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>KANG et al</atitle><jtitle>Maternal and child nutrition</jtitle><date>2023-07-01</date><risdate>2023</risdate><volume>19</volume><issue>3</issue><issn>1740-8695</issn><eissn>1740-8709</eissn><abstract>This study explores common factors associated with not meeting minimum dietary diversity (MDD) among 27,072 children aged 6–23 months in Eastern and Southern Africa using data from nine Demographic and Health Surveys from 2013 to 2016. MDD was defined as consumption of more than or equals to five of eight food groups including breast milk in the past 24 h. Equity gaps were calculated as the difference in MDD prevalence between the top and bottom wealth quintiles. Logistic regression was conducted to identify common factors for not meeting MDD at the household, maternal and child levels across two or more countries to inform regional policies to improve children's diets. Kenya had the highest MDD wealth equity gap (40.4 pts), and South Africa had the smallest (14.4 pts). Equity gaps for flesh foods or eggs (up to 39.8 pp) were larger than for grain or legumes (up to 20 pp). Common risk factors for not reaching MDD included younger child age (6–11 months) (n = 9 countries), no formal maternal occupation (n = 6), not receiving vitamin-A supplementation (n = 3), younger maternal age (n = 3), lower maternal education (n = 3), no media (n = 3) or newspaper (n = 3) exposure, lower household wealth quintile (n = 3), use of nonefficient cooking fuel (n = 2), longer time to get to the water source (n = 2), not listening to the radio (n = 2) and higher birth order (n = 2). Priorities for improving MDD in the region include introducing diverse foods at a young age from 6 months with early nutrition counselling, promoting higher maternal education, increasing food purchasing power and ensuring the support of younger mothers.</abstract><cop>Oxford</cop><pub>John Wiley & Sons, Inc</pub><doi>10.1111/mcn.13487</doi><oa>free_for_read</oa></addata></record> |
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subjects | Age Birth order Breast milk Breastfeeding & lactation Children Children & youth Cooking Diet Dietary supplements Drinking water Education Eggs Food Food consumption Food groups Fruits Health surveys Healthy food Households Legumes Mass media Milk Mothers Nutrition Nutrition research Purchasing power Risk factors Vegetables Wealth |
title | KANG et al |
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