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Complementary Feeding Practices in 80 Low- and Middle-Income Countries: Prevalence of and Socioeconomic Inequalities in Dietary Diversity, Meal Frequency, and Dietary Adequacy
Adequate complementary feeding practices in early childhood contribute to better food preferences and health outcomes throughout the life course. The aim of this study was to describe patterns and socioeconomic inequalities in complementary feeding practices among children aged 6–23 mo in 80 low- an...
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Published in: | The Journal of nutrition 2021-07, Vol.151 (7), p.1956-1964 |
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container_end_page | 1964 |
container_issue | 7 |
container_start_page | 1956 |
container_title | The Journal of nutrition |
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creator | Gatica-Domínguez, Giovanna Neves, Paulo A R Barros, Aluísio J D Victora, Cesar G |
description | Adequate complementary feeding practices in early childhood contribute to better food preferences and health outcomes throughout the life course.
The aim of this study was to describe patterns and socioeconomic inequalities in complementary feeding practices among children aged 6–23 mo in 80 low- and middle-income countries.
We analyzed national surveys carried out since 2010. Complementary feeding indicators for children aged 6–23 mo included minimum dietary diversity (MDD), minimum meal frequency (MMF), and minimum accepTable diet (MAD). Between- and within-country inequalities were documented using relative (wealth deciles), gross domestic product (GDP) per capita, and absolute (estimated household income) socioeconomic indicators. Statistical analyses included calculation of the slope index of inequality, Pearson correlation and linear regression, and scatter diagrams.
Only 21.3%, 56.2%, and 10.1% of the 80 countries showed prevalence levels >50% for MDD, MMF, and MAD, respectively. Western & Central Africa showed the lowest prevalence for all indicators, whereas the highest for MDD and MAD was Latin America & Caribbean, and for MMF it was East Asia & the Pacific. Log GDP per capita was positively associated with MDD (R2 = 48.5%), MMF (28.2%), and MAD (41.4%). Pro-rich within-country inequalities were observed in most countries for the 3 indicators; pro-poor inequalities were observed in 2 countries for MMF, and in none for the other 2 indicators. Breast milk was the only type of food with a pro-poor distribution, whereas animal-source foods (dairy products, flesh foods, and eggs) showed the most pronounced pro-rich inequality. Dietary diversity improved sharply when absolute annual household incomes exceeded ∼US$20,000. All 3 dietary indicators improved by age and no consistent differences were observed between boys and girls.
Monitoring complementary feeding indicators across the world and implementing policies and programs to reduce wealth-related inequalities are essential to achieve optimal child nutrition. |
doi_str_mv | 10.1093/jn/nxab088 |
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The aim of this study was to describe patterns and socioeconomic inequalities in complementary feeding practices among children aged 6–23 mo in 80 low- and middle-income countries.
We analyzed national surveys carried out since 2010. Complementary feeding indicators for children aged 6–23 mo included minimum dietary diversity (MDD), minimum meal frequency (MMF), and minimum accepTable diet (MAD). Between- and within-country inequalities were documented using relative (wealth deciles), gross domestic product (GDP) per capita, and absolute (estimated household income) socioeconomic indicators. Statistical analyses included calculation of the slope index of inequality, Pearson correlation and linear regression, and scatter diagrams.
Only 21.3%, 56.2%, and 10.1% of the 80 countries showed prevalence levels >50% for MDD, MMF, and MAD, respectively. Western & Central Africa showed the lowest prevalence for all indicators, whereas the highest for MDD and MAD was Latin America & Caribbean, and for MMF it was East Asia & the Pacific. Log GDP per capita was positively associated with MDD (R2 = 48.5%), MMF (28.2%), and MAD (41.4%). Pro-rich within-country inequalities were observed in most countries for the 3 indicators; pro-poor inequalities were observed in 2 countries for MMF, and in none for the other 2 indicators. Breast milk was the only type of food with a pro-poor distribution, whereas animal-source foods (dairy products, flesh foods, and eggs) showed the most pronounced pro-rich inequality. Dietary diversity improved sharply when absolute annual household incomes exceeded ∼US$20,000. All 3 dietary indicators improved by age and no consistent differences were observed between boys and girls.
Monitoring complementary feeding indicators across the world and implementing policies and programs to reduce wealth-related inequalities are essential to achieve optimal child nutrition.</description><identifier>ISSN: 0022-3166</identifier><identifier>EISSN: 1541-6100</identifier><identifier>DOI: 10.1093/jn/nxab088</identifier><identifier>PMID: 33847352</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>Adequacy ; Animal-based foods ; Breast Feeding ; Breast milk ; child nutrition ; Child, Preschool ; Children ; complementary feeding ; Dairy products ; Developing Countries ; Diet ; Editor's Choice ; Feeding ; Female ; Food ; Food preferences ; Food sources ; GDP ; Gross Domestic Product ; health equity ; Hogs ; Human nutrition ; Humans ; Income ; Indicators ; Infant ; infant and young child feeding ; Infant Nutritional Physiological Phenomena ; Male ; Meals ; Milk ; Nutrient Requirements and Optimal Nutrition ; Nutrition ; Prevalence ; Socioeconomic Factors ; Socioeconomics ; Statistical analysis ; Studies</subject><ispartof>The Journal of nutrition, 2021-07, Vol.151 (7), p.1956-1964</ispartof><rights>2021 American Society for Nutrition.</rights><rights>The Author(s) 2021. Published by Oxford University Press on behalf of the American Society for Nutrition. 2021</rights><rights>The Author(s) 2021. Published by Oxford University Press on behalf of the American Society for Nutrition.</rights><rights>Copyright American Institute of Nutrition Jul 2021</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c481t-34a1def47608825c5d342d240bed455128cfdc6033538291e354b80e24b168643</citedby><cites>FETCH-LOGICAL-c481t-34a1def47608825c5d342d240bed455128cfdc6033538291e354b80e24b168643</cites><orcidid>0000-0002-1200-4725 ; 0000-0002-2465-2180 ; 0000-0001-5284-2654 ; 0000-0002-2022-8729</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0022316622002553$$EHTML$$P50$$Gelsevier$$Hfree_for_read</linktohtml><link.rule.ids>230,314,780,784,885,3549,27924,27925,45780</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33847352$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Gatica-Domínguez, Giovanna</creatorcontrib><creatorcontrib>Neves, Paulo A R</creatorcontrib><creatorcontrib>Barros, Aluísio J D</creatorcontrib><creatorcontrib>Victora, Cesar G</creatorcontrib><title>Complementary Feeding Practices in 80 Low- and Middle-Income Countries: Prevalence of and Socioeconomic Inequalities in Dietary Diversity, Meal Frequency, and Dietary Adequacy</title><title>The Journal of nutrition</title><addtitle>J Nutr</addtitle><description>Adequate complementary feeding practices in early childhood contribute to better food preferences and health outcomes throughout the life course.
The aim of this study was to describe patterns and socioeconomic inequalities in complementary feeding practices among children aged 6–23 mo in 80 low- and middle-income countries.
We analyzed national surveys carried out since 2010. Complementary feeding indicators for children aged 6–23 mo included minimum dietary diversity (MDD), minimum meal frequency (MMF), and minimum accepTable diet (MAD). Between- and within-country inequalities were documented using relative (wealth deciles), gross domestic product (GDP) per capita, and absolute (estimated household income) socioeconomic indicators. Statistical analyses included calculation of the slope index of inequality, Pearson correlation and linear regression, and scatter diagrams.
Only 21.3%, 56.2%, and 10.1% of the 80 countries showed prevalence levels >50% for MDD, MMF, and MAD, respectively. Western & Central Africa showed the lowest prevalence for all indicators, whereas the highest for MDD and MAD was Latin America & Caribbean, and for MMF it was East Asia & the Pacific. Log GDP per capita was positively associated with MDD (R2 = 48.5%), MMF (28.2%), and MAD (41.4%). Pro-rich within-country inequalities were observed in most countries for the 3 indicators; pro-poor inequalities were observed in 2 countries for MMF, and in none for the other 2 indicators. Breast milk was the only type of food with a pro-poor distribution, whereas animal-source foods (dairy products, flesh foods, and eggs) showed the most pronounced pro-rich inequality. Dietary diversity improved sharply when absolute annual household incomes exceeded ∼US$20,000. All 3 dietary indicators improved by age and no consistent differences were observed between boys and girls.
Monitoring complementary feeding indicators across the world and implementing policies and programs to reduce wealth-related inequalities are essential to achieve optimal child nutrition.</description><subject>Adequacy</subject><subject>Animal-based foods</subject><subject>Breast Feeding</subject><subject>Breast milk</subject><subject>child nutrition</subject><subject>Child, Preschool</subject><subject>Children</subject><subject>complementary feeding</subject><subject>Dairy products</subject><subject>Developing Countries</subject><subject>Diet</subject><subject>Editor's Choice</subject><subject>Feeding</subject><subject>Female</subject><subject>Food</subject><subject>Food preferences</subject><subject>Food sources</subject><subject>GDP</subject><subject>Gross Domestic Product</subject><subject>health equity</subject><subject>Hogs</subject><subject>Human nutrition</subject><subject>Humans</subject><subject>Income</subject><subject>Indicators</subject><subject>Infant</subject><subject>infant and young child feeding</subject><subject>Infant Nutritional Physiological Phenomena</subject><subject>Male</subject><subject>Meals</subject><subject>Milk</subject><subject>Nutrient Requirements and Optimal Nutrition</subject><subject>Nutrition</subject><subject>Prevalence</subject><subject>Socioeconomic Factors</subject><subject>Socioeconomics</subject><subject>Statistical analysis</subject><subject>Studies</subject><issn>0022-3166</issn><issn>1541-6100</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>TOX</sourceid><recordid>eNp9kt9qFDEUxoModq3e-AASEEHEsfk7zXohlK2rC1sU1OuQSc7WLDPJmsxsu0_lK5rtbIuKeBVCfufLd853EHpKyRtKpvxkHU7CtWmIUvfQhEpBq5oSch9NCGGs4rSuj9CjnNeEECqm6iE64lyJUy7ZBP2cxW7TQgehN2mH5wDOh0v8ORnbewsZ-4AVwct4VWETHL7wzrVQLYKNHeBZHEKfPOS3pQK2poVgAcfVDfolWh_BxhA7b_EiwI_BtL73o-i5h5sfz_0WUvb97jW-ANPieSpckSn3vcgtdub25Xb3GD1YmTbDk8N5jL7N33-dfayWnz4sZmfLygpF-4oLQx2sxGldpsKklY4L5pggDTghJWXKrpytCeeSKzalwKVoFAEmGlqrWvBj9G7U3QxNB86W-STT6k3yXbGjo_H6z5fgv-vLuNWKCakULQIvDwIploZyrzufLbStCRCHrFkxUWKYcl7Q53-h6zikUNorlOSyrktwhXo1UjbFnBOs7sxQovd7oNdBH_agwM9-t3-H3gZfgBcjEIfN_4XEyEEZ9tZD0tn6fcrOJ7C9dtH_q-wX4QLPtg</recordid><startdate>20210701</startdate><enddate>20210701</enddate><creator>Gatica-Domínguez, Giovanna</creator><creator>Neves, Paulo A R</creator><creator>Barros, Aluísio J D</creator><creator>Victora, Cesar G</creator><general>Elsevier Inc</general><general>Oxford University Press</general><general>American Institute of Nutrition</general><scope>6I.</scope><scope>AAFTH</scope><scope>TOX</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>K9.</scope><scope>NAPCQ</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-1200-4725</orcidid><orcidid>https://orcid.org/0000-0002-2465-2180</orcidid><orcidid>https://orcid.org/0000-0001-5284-2654</orcidid><orcidid>https://orcid.org/0000-0002-2022-8729</orcidid></search><sort><creationdate>20210701</creationdate><title>Complementary Feeding Practices in 80 Low- and Middle-Income Countries: Prevalence of and Socioeconomic Inequalities in Dietary Diversity, Meal Frequency, and Dietary Adequacy</title><author>Gatica-Domínguez, Giovanna ; 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The aim of this study was to describe patterns and socioeconomic inequalities in complementary feeding practices among children aged 6–23 mo in 80 low- and middle-income countries.
We analyzed national surveys carried out since 2010. Complementary feeding indicators for children aged 6–23 mo included minimum dietary diversity (MDD), minimum meal frequency (MMF), and minimum accepTable diet (MAD). Between- and within-country inequalities were documented using relative (wealth deciles), gross domestic product (GDP) per capita, and absolute (estimated household income) socioeconomic indicators. Statistical analyses included calculation of the slope index of inequality, Pearson correlation and linear regression, and scatter diagrams.
Only 21.3%, 56.2%, and 10.1% of the 80 countries showed prevalence levels >50% for MDD, MMF, and MAD, respectively. Western & Central Africa showed the lowest prevalence for all indicators, whereas the highest for MDD and MAD was Latin America & Caribbean, and for MMF it was East Asia & the Pacific. Log GDP per capita was positively associated with MDD (R2 = 48.5%), MMF (28.2%), and MAD (41.4%). Pro-rich within-country inequalities were observed in most countries for the 3 indicators; pro-poor inequalities were observed in 2 countries for MMF, and in none for the other 2 indicators. Breast milk was the only type of food with a pro-poor distribution, whereas animal-source foods (dairy products, flesh foods, and eggs) showed the most pronounced pro-rich inequality. Dietary diversity improved sharply when absolute annual household incomes exceeded ∼US$20,000. All 3 dietary indicators improved by age and no consistent differences were observed between boys and girls.
Monitoring complementary feeding indicators across the world and implementing policies and programs to reduce wealth-related inequalities are essential to achieve optimal child nutrition.</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>33847352</pmid><doi>10.1093/jn/nxab088</doi><tpages>9</tpages><orcidid>https://orcid.org/0000-0002-1200-4725</orcidid><orcidid>https://orcid.org/0000-0002-2465-2180</orcidid><orcidid>https://orcid.org/0000-0001-5284-2654</orcidid><orcidid>https://orcid.org/0000-0002-2022-8729</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Adequacy Animal-based foods Breast Feeding Breast milk child nutrition Child, Preschool Children complementary feeding Dairy products Developing Countries Diet Editor's Choice Feeding Female Food Food preferences Food sources GDP Gross Domestic Product health equity Hogs Human nutrition Humans Income Indicators Infant infant and young child feeding Infant Nutritional Physiological Phenomena Male Meals Milk Nutrient Requirements and Optimal Nutrition Nutrition Prevalence Socioeconomic Factors Socioeconomics Statistical analysis Studies |
title | Complementary Feeding Practices in 80 Low- and Middle-Income Countries: Prevalence of and Socioeconomic Inequalities in Dietary Diversity, Meal Frequency, and Dietary Adequacy |
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