The Determinants of Complementary Feeding Introduction Vary According to the Type of Food and Infants’ Ages: A Cohort Study—ClaB, Brazil
Introduction Food inadequacies in the first 6 months of life are considered a global problem, with an emphasis on early complementary feeding introduction (CFI). This study aimed to identify the determinants of CFI. Methods A birth cohort study (N = 641). Data on infant feeding was collected before...
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creator | Almeida, Maiara Aparecida Mialich Rossato, Sinara Laurini Ferrari, Anna Paula de Barros Gomes, Caroline Tonete, Vera Lúcia Pamplona de Lima Parada, Cristina Maria Garcia de Barros Leite Carvalhaes, Maria Antonieta |
description | Introduction
Food inadequacies in the first 6 months of life are considered a global problem, with an emphasis on early complementary feeding introduction (CFI). This study aimed to identify the determinants of CFI.
Methods
A birth cohort study (N = 641). Data on infant feeding was collected before 30 days, and at 2, 4, and 6 months of age and, at baseline, data regarding socioeconomic status, demographics, maternal and infant health, obstetric history, and infant care. The hypothesis was that the risk determinants for early CFI vary according to the type of food and the age range of this introduction. Twelve Cox regression models were fit with four outcomes (formula; other types of milk; other beverages; and solid/semi-solid foods) considering three different age ranges of the infant at their introduction ( |
doi_str_mv | 10.1007/s10995-021-03360-8 |
format | Article |
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Food inadequacies in the first 6 months of life are considered a global problem, with an emphasis on early complementary feeding introduction (CFI). This study aimed to identify the determinants of CFI.
Methods
A birth cohort study (N = 641). Data on infant feeding was collected before 30 days, and at 2, 4, and 6 months of age and, at baseline, data regarding socioeconomic status, demographics, maternal and infant health, obstetric history, and infant care. The hypothesis was that the risk determinants for early CFI vary according to the type of food and the age range of this introduction. Twelve Cox regression models were fit with four outcomes (formula; other types of milk; other beverages; and solid/semi-solid foods) considering three different age ranges of the infant at their introduction (< 2 months, 2–4 months, and 4–6 months).
Results
The introduction of the four food groups analyzed was early (median ages of introduction: formulas = 45 days; other milks = 135 days; other beverages = 120 days; solids and semi-solids = 135 days). The determinants that increased the risk of introducing formulas before 2 months were: primiparity, employed without maternity leave, mothers with unsatisfactory prenatal counseling and those who had cesarean sections. Not living with a partner, infant pacifier use at 2 months of age had a higher risk of introducing formula between 2 and 4 months of age. Non-white skin color, more than 35 years old, low maternal education, and lower family income increased the risk of introducing other types of milk between 2 and 4 months of age. Between 4 and 6 months of age, adolescent and low education level mothers had a higher risk of introducing other types of milk, unemployed was a protective factor against the introduction of other foods and beverages in this age group.
Conclusions
The determinants of early CFI varied according to the type of food and the age of introduction.</description><identifier>ISSN: 1092-7875</identifier><identifier>EISSN: 1573-6628</identifier><identifier>DOI: 10.1007/s10995-021-03360-8</identifier><identifier>PMID: 35088296</identifier><language>eng</language><publisher>New York: Springer US</publisher><subject>Age ; Beverages ; Breastfeeding & lactation ; Cohort analysis ; Demographic aspects ; Education ; Food ; Food combining ; Gynecology ; Health aspects ; Infants ; Malnutrition in children ; Maternal and Child Health ; Maternity & paternity leaves ; Medicine ; Medicine & Public Health ; Milk ; Pediatric research ; Pediatrics ; Population Economics ; Public Health ; Risk factors ; Social aspects ; Socioeconomics ; Sociology</subject><ispartof>Maternal and child health journal, 2022-06, Vol.26 (6), p.1384-1400</ispartof><rights>The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2021</rights><rights>2021. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.</rights><rights>COPYRIGHT 2022 Springer</rights><rights>The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2021.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c462t-d529e63b811bdb1b0fc42dc355ed47254ec4b95596e77a9d540562e77b275ef33</cites><orcidid>0000-0002-0641-0743</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s10995-021-03360-8$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s10995-021-03360-8$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,41488,42557,51319</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/35088296$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Almeida, Maiara Aparecida Mialich</creatorcontrib><creatorcontrib>Rossato, Sinara Laurini</creatorcontrib><creatorcontrib>Ferrari, Anna Paula</creatorcontrib><creatorcontrib>de Barros Gomes, Caroline</creatorcontrib><creatorcontrib>Tonete, Vera Lúcia Pamplona</creatorcontrib><creatorcontrib>de Lima Parada, Cristina Maria Garcia</creatorcontrib><creatorcontrib>de Barros Leite Carvalhaes, Maria Antonieta</creatorcontrib><title>The Determinants of Complementary Feeding Introduction Vary According to the Type of Food and Infants’ Ages: A Cohort Study—ClaB, Brazil</title><title>Maternal and child health journal</title><addtitle>Matern Child Health J</addtitle><addtitle>Matern Child Health J</addtitle><description>Introduction
Food inadequacies in the first 6 months of life are considered a global problem, with an emphasis on early complementary feeding introduction (CFI). This study aimed to identify the determinants of CFI.
Methods
A birth cohort study (N = 641). Data on infant feeding was collected before 30 days, and at 2, 4, and 6 months of age and, at baseline, data regarding socioeconomic status, demographics, maternal and infant health, obstetric history, and infant care. The hypothesis was that the risk determinants for early CFI vary according to the type of food and the age range of this introduction. Twelve Cox regression models were fit with four outcomes (formula; other types of milk; other beverages; and solid/semi-solid foods) considering three different age ranges of the infant at their introduction (< 2 months, 2–4 months, and 4–6 months).
Results
The introduction of the four food groups analyzed was early (median ages of introduction: formulas = 45 days; other milks = 135 days; other beverages = 120 days; solids and semi-solids = 135 days). The determinants that increased the risk of introducing formulas before 2 months were: primiparity, employed without maternity leave, mothers with unsatisfactory prenatal counseling and those who had cesarean sections. Not living with a partner, infant pacifier use at 2 months of age had a higher risk of introducing formula between 2 and 4 months of age. Non-white skin color, more than 35 years old, low maternal education, and lower family income increased the risk of introducing other types of milk between 2 and 4 months of age. Between 4 and 6 months of age, adolescent and low education level mothers had a higher risk of introducing other types of milk, unemployed was a protective factor against the introduction of other foods and beverages in this age group.
Conclusions
The determinants of early CFI varied according to the type of food and the age of introduction.</description><subject>Age</subject><subject>Beverages</subject><subject>Breastfeeding & lactation</subject><subject>Cohort analysis</subject><subject>Demographic aspects</subject><subject>Education</subject><subject>Food</subject><subject>Food combining</subject><subject>Gynecology</subject><subject>Health aspects</subject><subject>Infants</subject><subject>Malnutrition in children</subject><subject>Maternal and Child Health</subject><subject>Maternity & paternity leaves</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Milk</subject><subject>Pediatric research</subject><subject>Pediatrics</subject><subject>Population Economics</subject><subject>Public Health</subject><subject>Risk factors</subject><subject>Social aspects</subject><subject>Socioeconomics</subject><subject>Sociology</subject><issn>1092-7875</issn><issn>1573-6628</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><recordid>eNp9ksFu1DAQhiNERUvhBTggS0iIAymOHScxt3RhaaVKHFi4Wo49yaZK7MV2DsupD8CRC6_XJ8HpFkrRCvngkef7f1kzf5I8y_BJhnH5xmeYc5ZikqWY0gKn1YPkKGMlTYuCVA9jjTlJy6pkh8lj7y8xjjKcP0oOKcNVRXhxlHxfrQG9gwBu7I00wSPbooUdNwOMYIJ0W7QE0L3p0LkJzupJhd4a9GXu1EpZd9MLFoVotNpuYDZYWquRNDpq2tn0-uonqjvwb1EdzdfWBfQpTHp7ffVjMcjT1-jUyW_98CQ5aOXg4entfZx8Xr5fLc7Si48fzhf1RarygoRUM8KhoE2VZY1usga3KidaUcZA5yVhOai84YzxAspScs1yzAoS64aUDFpKj5NXO9-Ns18n8EGMvVcwDNKAnbwgBaEVx4yRiL74B720kzPxd5EqOCEU5_SO6uQAojetDU6q2VTUJWYYE15mkUr3UB0YcHKwBto-Pt_jT_bw8WgYe7VX8PIvwRrkENbeDtO8MX8fJDtQOeu9g1ZsXD_GlYoMizlbYpctEbMlbrIlqih6fjuKqRlB_5H8DlME6A7wsWU6cHez-o_tL4yR18w</recordid><startdate>20220601</startdate><enddate>20220601</enddate><creator>Almeida, Maiara Aparecida Mialich</creator><creator>Rossato, Sinara Laurini</creator><creator>Ferrari, Anna Paula</creator><creator>de Barros Gomes, Caroline</creator><creator>Tonete, Vera Lúcia Pamplona</creator><creator>de Lima Parada, Cristina Maria Garcia</creator><creator>de Barros Leite Carvalhaes, Maria Antonieta</creator><general>Springer US</general><general>Springer</general><general>Springer Nature B.V</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7RV</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9-</scope><scope>K9.</scope><scope>KB0</scope><scope>M0R</scope><scope>M0S</scope><scope>M1P</scope><scope>NAPCQ</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-0641-0743</orcidid></search><sort><creationdate>20220601</creationdate><title>The Determinants of Complementary Feeding Introduction Vary According to the Type of Food and Infants’ Ages: A Cohort Study—ClaB, Brazil</title><author>Almeida, Maiara Aparecida Mialich ; Rossato, Sinara Laurini ; Ferrari, Anna Paula ; de Barros Gomes, Caroline ; Tonete, Vera Lúcia Pamplona ; de Lima Parada, Cristina Maria Garcia ; de Barros Leite Carvalhaes, Maria Antonieta</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c462t-d529e63b811bdb1b0fc42dc355ed47254ec4b95596e77a9d540562e77b275ef33</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Age</topic><topic>Beverages</topic><topic>Breastfeeding & lactation</topic><topic>Cohort analysis</topic><topic>Demographic aspects</topic><topic>Education</topic><topic>Food</topic><topic>Food combining</topic><topic>Gynecology</topic><topic>Health aspects</topic><topic>Infants</topic><topic>Malnutrition in children</topic><topic>Maternal and Child Health</topic><topic>Maternity & paternity leaves</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Milk</topic><topic>Pediatric research</topic><topic>Pediatrics</topic><topic>Population Economics</topic><topic>Public Health</topic><topic>Risk factors</topic><topic>Social aspects</topic><topic>Socioeconomics</topic><topic>Sociology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Almeida, Maiara Aparecida Mialich</creatorcontrib><creatorcontrib>Rossato, Sinara Laurini</creatorcontrib><creatorcontrib>Ferrari, Anna Paula</creatorcontrib><creatorcontrib>de Barros Gomes, Caroline</creatorcontrib><creatorcontrib>Tonete, Vera Lúcia Pamplona</creatorcontrib><creatorcontrib>de Lima Parada, Cristina Maria Garcia</creatorcontrib><creatorcontrib>de Barros Leite Carvalhaes, Maria Antonieta</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Nursing & Allied Health Database</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>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 Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>Consumer Health Database (Alumni Edition)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Consumer Health Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Nursing & Allied Health Premium</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>MEDLINE - Academic</collection><jtitle>Maternal and child health journal</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Almeida, Maiara Aparecida Mialich</au><au>Rossato, Sinara Laurini</au><au>Ferrari, Anna Paula</au><au>de Barros Gomes, Caroline</au><au>Tonete, Vera Lúcia Pamplona</au><au>de Lima Parada, Cristina Maria Garcia</au><au>de Barros Leite Carvalhaes, Maria Antonieta</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The Determinants of Complementary Feeding Introduction Vary According to the Type of Food and Infants’ Ages: A Cohort Study—ClaB, Brazil</atitle><jtitle>Maternal and child health journal</jtitle><stitle>Matern Child Health J</stitle><addtitle>Matern Child Health J</addtitle><date>2022-06-01</date><risdate>2022</risdate><volume>26</volume><issue>6</issue><spage>1384</spage><epage>1400</epage><pages>1384-1400</pages><issn>1092-7875</issn><eissn>1573-6628</eissn><abstract>Introduction
Food inadequacies in the first 6 months of life are considered a global problem, with an emphasis on early complementary feeding introduction (CFI). This study aimed to identify the determinants of CFI.
Methods
A birth cohort study (N = 641). Data on infant feeding was collected before 30 days, and at 2, 4, and 6 months of age and, at baseline, data regarding socioeconomic status, demographics, maternal and infant health, obstetric history, and infant care. The hypothesis was that the risk determinants for early CFI vary according to the type of food and the age range of this introduction. Twelve Cox regression models were fit with four outcomes (formula; other types of milk; other beverages; and solid/semi-solid foods) considering three different age ranges of the infant at their introduction (< 2 months, 2–4 months, and 4–6 months).
Results
The introduction of the four food groups analyzed was early (median ages of introduction: formulas = 45 days; other milks = 135 days; other beverages = 120 days; solids and semi-solids = 135 days). The determinants that increased the risk of introducing formulas before 2 months were: primiparity, employed without maternity leave, mothers with unsatisfactory prenatal counseling and those who had cesarean sections. Not living with a partner, infant pacifier use at 2 months of age had a higher risk of introducing formula between 2 and 4 months of age. Non-white skin color, more than 35 years old, low maternal education, and lower family income increased the risk of introducing other types of milk between 2 and 4 months of age. Between 4 and 6 months of age, adolescent and low education level mothers had a higher risk of introducing other types of milk, unemployed was a protective factor against the introduction of other foods and beverages in this age group.
Conclusions
The determinants of early CFI varied according to the type of food and the age of introduction.</abstract><cop>New York</cop><pub>Springer US</pub><pmid>35088296</pmid><doi>10.1007/s10995-021-03360-8</doi><tpages>17</tpages><orcidid>https://orcid.org/0000-0002-0641-0743</orcidid></addata></record> |
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subjects | Age Beverages Breastfeeding & lactation Cohort analysis Demographic aspects Education Food Food combining Gynecology Health aspects Infants Malnutrition in children Maternal and Child Health Maternity & paternity leaves Medicine Medicine & Public Health Milk Pediatric research Pediatrics Population Economics Public Health Risk factors Social aspects Socioeconomics Sociology |
title | The Determinants of Complementary Feeding Introduction Vary According to the Type of Food and Infants’ Ages: A Cohort Study—ClaB, Brazil |
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