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Clusters of lifestyle behaviours and their associations with socio-demographic characteristics in Dutch toddlers
Purpose This study aimed to identify clusters of lifestyle behaviours in toddlers and assess associations with socio-demographic characteristics. Methods We used data from the Dutch National Food Consumption Survey 2012–2016 and included 646 children aged 1–3 years. Based on 24-h dietary recalls and...
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Published in: | European journal of nutrition 2023-04, Vol.62 (3), p.1143-1151 |
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container_title | European journal of nutrition |
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creator | Krijger, Anne Steenbergen, Elly Schiphof-Godart, Lieke van Rossum, Caroline Verkaik-Kloosterman, Janneke Elstgeest, Liset ter Borg, Sovianne Raat, Hein Joosten, Koen |
description | Purpose
This study aimed to identify clusters of lifestyle behaviours in toddlers and assess associations with socio-demographic characteristics.
Methods
We used data from the Dutch National Food Consumption Survey 2012–2016 and included 646 children aged 1–3 years. Based on 24-h dietary recalls and a questionnaire, a two-step cluster analysis was conducted to identify clusters in the intake of fruit, vegetables, sugar-sweetened beverages and unhealthy snacks, physical activity and screen time. Logistic regression models assessed associations between socio-demographic characteristics and cluster allocation.
Results
Three clusters emerged from the data. The ‘relatively healthy cluster’ demonstrated a high intake of fruit and vegetables, low sugar-sweetened beverage and unhealthy snack intake and low screen time. The ‘active snacking cluster’ was characterised by high unhealthy snack intake and high physical activity, and the ‘sedentary sweet beverage cluster’ by high intake of sugar-sweetened beverages and high screen time. Children aged 1 year were most likely to be allocated to the ‘relatively healthy cluster’. Compared to children of parents with a high education level, children of parents with a low or middle education level were less likely to be in the ‘relatively healthy cluster’, but more likely to be in the ‘sedentary sweet beverage cluster’.
Conclusion
Clusters of lifestyle behaviours can be distinguished already in children aged 1–3 years. To promote healthy lifestyle behaviour, efforts may focus on maintaining healthy behaviour in 1-year-olds and more on switching towards healthy behaviour in 2- and 3-year-olds. |
doi_str_mv | 10.1007/s00394-022-03056-x |
format | article |
fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_10030397</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2789008158</sourcerecordid><originalsourceid>FETCH-LOGICAL-c475t-95d47116ce05a98e4779b5a5ab32d2f41c2d4fdcbde313c5135121b52e408bc3</originalsourceid><addsrcrecordid>eNp9kUlvFDEQhS0EIgv8AQ7IEhcuDeWt3X1CaFilSFxyt9y2e9pRT3twuUPy7-MwYVgOnLzU51eu9wh5weANA9BvEUD0sgHOGxCg2ubmETllUrRNy5l6fNyDPiFniFcAwEXLnpIT0UohJbSnZL-ZVywhI00jneMYsNzOgQ5hstcxrfXeLp6WKcRMLWJy0ZaYFqQ_Ypno_Tk1PuzSNtv9FB11k83WVcGIJTqkcaEf1uImWpL3c-3zjDwZ7Yzh-cN6Ti4_fbzcfGkuvn3-unl_0TipVWl65aVmrHUBlO27ILXuB2WVHQT3fJTMcS9H7wYfBBNOMaEYZ4PiQUI3OHFO3h1k9-uwC96FpWQ7m32OO5tvTbLR_F1Z4mS26dpUZ0W1VVeF1w8KOX1fqy9mF9GFebZLSCsariUo6NueVfTVP-hVtW6p41Wq6wE6prpK8QPlckLMYTz-hsF9W20OgZoaqPkZqLmpj17-Ocfxya8EKyAOANbSsg35d-__yN4BTCevMA</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2789008158</pqid></control><display><type>article</type><title>Clusters of lifestyle behaviours and their associations with socio-demographic characteristics in Dutch toddlers</title><source>EBSCOhost SPORTDiscus with Full Text</source><source>Springer Nature</source><creator>Krijger, Anne ; Steenbergen, Elly ; Schiphof-Godart, Lieke ; van Rossum, Caroline ; Verkaik-Kloosterman, Janneke ; Elstgeest, Liset ; ter Borg, Sovianne ; Raat, Hein ; Joosten, Koen</creator><creatorcontrib>Krijger, Anne ; Steenbergen, Elly ; Schiphof-Godart, Lieke ; van Rossum, Caroline ; Verkaik-Kloosterman, Janneke ; Elstgeest, Liset ; ter Borg, Sovianne ; Raat, Hein ; Joosten, Koen</creatorcontrib><description>Purpose
This study aimed to identify clusters of lifestyle behaviours in toddlers and assess associations with socio-demographic characteristics.
Methods
We used data from the Dutch National Food Consumption Survey 2012–2016 and included 646 children aged 1–3 years. Based on 24-h dietary recalls and a questionnaire, a two-step cluster analysis was conducted to identify clusters in the intake of fruit, vegetables, sugar-sweetened beverages and unhealthy snacks, physical activity and screen time. Logistic regression models assessed associations between socio-demographic characteristics and cluster allocation.
Results
Three clusters emerged from the data. The ‘relatively healthy cluster’ demonstrated a high intake of fruit and vegetables, low sugar-sweetened beverage and unhealthy snack intake and low screen time. The ‘active snacking cluster’ was characterised by high unhealthy snack intake and high physical activity, and the ‘sedentary sweet beverage cluster’ by high intake of sugar-sweetened beverages and high screen time. Children aged 1 year were most likely to be allocated to the ‘relatively healthy cluster’. Compared to children of parents with a high education level, children of parents with a low or middle education level were less likely to be in the ‘relatively healthy cluster’, but more likely to be in the ‘sedentary sweet beverage cluster’.
Conclusion
Clusters of lifestyle behaviours can be distinguished already in children aged 1–3 years. To promote healthy lifestyle behaviour, efforts may focus on maintaining healthy behaviour in 1-year-olds and more on switching towards healthy behaviour in 2- and 3-year-olds.</description><identifier>ISSN: 1436-6207</identifier><identifier>EISSN: 1436-6215</identifier><identifier>DOI: 10.1007/s00394-022-03056-x</identifier><identifier>PMID: 36434406</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Behavior ; Beverages ; Chemistry ; Chemistry and Materials Science ; Child, Preschool ; Children ; Cluster analysis ; Demography ; Diet ; Exercise ; Feeding Behavior ; Food consumption ; Health Behavior ; Humans ; Life Style ; Lifestyles ; Nutrition ; Obesity ; Original Contribution ; Overweight ; Physical activity ; Regression analysis ; Screen time ; Snacks ; Sociodemographics ; Sugar ; Sweet taste ; Toddlers ; Vegetables</subject><ispartof>European journal of nutrition, 2023-04, Vol.62 (3), p.1143-1151</ispartof><rights>The Author(s) 2022</rights><rights>2022. The Author(s).</rights><rights>The Author(s) 2022. This work is published under 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><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c475t-95d47116ce05a98e4779b5a5ab32d2f41c2d4fdcbde313c5135121b52e408bc3</citedby><cites>FETCH-LOGICAL-c475t-95d47116ce05a98e4779b5a5ab32d2f41c2d4fdcbde313c5135121b52e408bc3</cites><orcidid>0000-0002-3770-7750</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,780,784,885,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/36434406$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Krijger, Anne</creatorcontrib><creatorcontrib>Steenbergen, Elly</creatorcontrib><creatorcontrib>Schiphof-Godart, Lieke</creatorcontrib><creatorcontrib>van Rossum, Caroline</creatorcontrib><creatorcontrib>Verkaik-Kloosterman, Janneke</creatorcontrib><creatorcontrib>Elstgeest, Liset</creatorcontrib><creatorcontrib>ter Borg, Sovianne</creatorcontrib><creatorcontrib>Raat, Hein</creatorcontrib><creatorcontrib>Joosten, Koen</creatorcontrib><title>Clusters of lifestyle behaviours and their associations with socio-demographic characteristics in Dutch toddlers</title><title>European journal of nutrition</title><addtitle>Eur J Nutr</addtitle><addtitle>Eur J Nutr</addtitle><description>Purpose
This study aimed to identify clusters of lifestyle behaviours in toddlers and assess associations with socio-demographic characteristics.
Methods
We used data from the Dutch National Food Consumption Survey 2012–2016 and included 646 children aged 1–3 years. Based on 24-h dietary recalls and a questionnaire, a two-step cluster analysis was conducted to identify clusters in the intake of fruit, vegetables, sugar-sweetened beverages and unhealthy snacks, physical activity and screen time. Logistic regression models assessed associations between socio-demographic characteristics and cluster allocation.
Results
Three clusters emerged from the data. The ‘relatively healthy cluster’ demonstrated a high intake of fruit and vegetables, low sugar-sweetened beverage and unhealthy snack intake and low screen time. The ‘active snacking cluster’ was characterised by high unhealthy snack intake and high physical activity, and the ‘sedentary sweet beverage cluster’ by high intake of sugar-sweetened beverages and high screen time. Children aged 1 year were most likely to be allocated to the ‘relatively healthy cluster’. Compared to children of parents with a high education level, children of parents with a low or middle education level were less likely to be in the ‘relatively healthy cluster’, but more likely to be in the ‘sedentary sweet beverage cluster’.
Conclusion
Clusters of lifestyle behaviours can be distinguished already in children aged 1–3 years. To promote healthy lifestyle behaviour, efforts may focus on maintaining healthy behaviour in 1-year-olds and more on switching towards healthy behaviour in 2- and 3-year-olds.</description><subject>Behavior</subject><subject>Beverages</subject><subject>Chemistry</subject><subject>Chemistry and Materials Science</subject><subject>Child, Preschool</subject><subject>Children</subject><subject>Cluster analysis</subject><subject>Demography</subject><subject>Diet</subject><subject>Exercise</subject><subject>Feeding Behavior</subject><subject>Food consumption</subject><subject>Health Behavior</subject><subject>Humans</subject><subject>Life Style</subject><subject>Lifestyles</subject><subject>Nutrition</subject><subject>Obesity</subject><subject>Original Contribution</subject><subject>Overweight</subject><subject>Physical activity</subject><subject>Regression analysis</subject><subject>Screen time</subject><subject>Snacks</subject><subject>Sociodemographics</subject><subject>Sugar</subject><subject>Sweet taste</subject><subject>Toddlers</subject><subject>Vegetables</subject><issn>1436-6207</issn><issn>1436-6215</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><recordid>eNp9kUlvFDEQhS0EIgv8AQ7IEhcuDeWt3X1CaFilSFxyt9y2e9pRT3twuUPy7-MwYVgOnLzU51eu9wh5weANA9BvEUD0sgHOGxCg2ubmETllUrRNy5l6fNyDPiFniFcAwEXLnpIT0UohJbSnZL-ZVywhI00jneMYsNzOgQ5hstcxrfXeLp6WKcRMLWJy0ZaYFqQ_Ypno_Tk1PuzSNtv9FB11k83WVcGIJTqkcaEf1uImWpL3c-3zjDwZ7Yzh-cN6Ti4_fbzcfGkuvn3-unl_0TipVWl65aVmrHUBlO27ILXuB2WVHQT3fJTMcS9H7wYfBBNOMaEYZ4PiQUI3OHFO3h1k9-uwC96FpWQ7m32OO5tvTbLR_F1Z4mS26dpUZ0W1VVeF1w8KOX1fqy9mF9GFebZLSCsariUo6NueVfTVP-hVtW6p41Wq6wE6prpK8QPlckLMYTz-hsF9W20OgZoaqPkZqLmpj17-Ocfxya8EKyAOANbSsg35d-__yN4BTCevMA</recordid><startdate>20230401</startdate><enddate>20230401</enddate><creator>Krijger, Anne</creator><creator>Steenbergen, Elly</creator><creator>Schiphof-Godart, Lieke</creator><creator>van Rossum, Caroline</creator><creator>Verkaik-Kloosterman, Janneke</creator><creator>Elstgeest, Liset</creator><creator>ter Borg, Sovianne</creator><creator>Raat, Hein</creator><creator>Joosten, Koen</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</general><scope>C6C</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>7QP</scope><scope>7RQ</scope><scope>7RV</scope><scope>7TS</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>DWQXO</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>PRINS</scope><scope>Q9U</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-3770-7750</orcidid></search><sort><creationdate>20230401</creationdate><title>Clusters of lifestyle behaviours and their associations with socio-demographic characteristics in Dutch toddlers</title><author>Krijger, Anne ; Steenbergen, Elly ; Schiphof-Godart, Lieke ; van Rossum, Caroline ; Verkaik-Kloosterman, Janneke ; Elstgeest, Liset ; ter Borg, Sovianne ; Raat, Hein ; Joosten, Koen</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c475t-95d47116ce05a98e4779b5a5ab32d2f41c2d4fdcbde313c5135121b52e408bc3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Behavior</topic><topic>Beverages</topic><topic>Chemistry</topic><topic>Chemistry and Materials Science</topic><topic>Child, Preschool</topic><topic>Children</topic><topic>Cluster analysis</topic><topic>Demography</topic><topic>Diet</topic><topic>Exercise</topic><topic>Feeding Behavior</topic><topic>Food consumption</topic><topic>Health Behavior</topic><topic>Humans</topic><topic>Life Style</topic><topic>Lifestyles</topic><topic>Nutrition</topic><topic>Obesity</topic><topic>Original Contribution</topic><topic>Overweight</topic><topic>Physical activity</topic><topic>Regression analysis</topic><topic>Screen time</topic><topic>Snacks</topic><topic>Sociodemographics</topic><topic>Sugar</topic><topic>Sweet taste</topic><topic>Toddlers</topic><topic>Vegetables</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Krijger, Anne</creatorcontrib><creatorcontrib>Steenbergen, Elly</creatorcontrib><creatorcontrib>Schiphof-Godart, Lieke</creatorcontrib><creatorcontrib>van Rossum, Caroline</creatorcontrib><creatorcontrib>Verkaik-Kloosterman, Janneke</creatorcontrib><creatorcontrib>Elstgeest, Liset</creatorcontrib><creatorcontrib>ter Borg, Sovianne</creatorcontrib><creatorcontrib>Raat, Hein</creatorcontrib><creatorcontrib>Joosten, Koen</creatorcontrib><collection>SpringerOpen</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>Calcium & Calcified Tissue Abstracts</collection><collection>Career & Technical Education Database</collection><collection>Nursing & Allied Health Database</collection><collection>Physical Education Index</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)</collection><collection>ProQuest Central</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>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>ProQuest Central China</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>European journal of nutrition</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Krijger, Anne</au><au>Steenbergen, Elly</au><au>Schiphof-Godart, Lieke</au><au>van Rossum, Caroline</au><au>Verkaik-Kloosterman, Janneke</au><au>Elstgeest, Liset</au><au>ter Borg, Sovianne</au><au>Raat, Hein</au><au>Joosten, Koen</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Clusters of lifestyle behaviours and their associations with socio-demographic characteristics in Dutch toddlers</atitle><jtitle>European journal of nutrition</jtitle><stitle>Eur J Nutr</stitle><addtitle>Eur J Nutr</addtitle><date>2023-04-01</date><risdate>2023</risdate><volume>62</volume><issue>3</issue><spage>1143</spage><epage>1151</epage><pages>1143-1151</pages><issn>1436-6207</issn><eissn>1436-6215</eissn><abstract>Purpose
This study aimed to identify clusters of lifestyle behaviours in toddlers and assess associations with socio-demographic characteristics.
Methods
We used data from the Dutch National Food Consumption Survey 2012–2016 and included 646 children aged 1–3 years. Based on 24-h dietary recalls and a questionnaire, a two-step cluster analysis was conducted to identify clusters in the intake of fruit, vegetables, sugar-sweetened beverages and unhealthy snacks, physical activity and screen time. Logistic regression models assessed associations between socio-demographic characteristics and cluster allocation.
Results
Three clusters emerged from the data. The ‘relatively healthy cluster’ demonstrated a high intake of fruit and vegetables, low sugar-sweetened beverage and unhealthy snack intake and low screen time. The ‘active snacking cluster’ was characterised by high unhealthy snack intake and high physical activity, and the ‘sedentary sweet beverage cluster’ by high intake of sugar-sweetened beverages and high screen time. Children aged 1 year were most likely to be allocated to the ‘relatively healthy cluster’. Compared to children of parents with a high education level, children of parents with a low or middle education level were less likely to be in the ‘relatively healthy cluster’, but more likely to be in the ‘sedentary sweet beverage cluster’.
Conclusion
Clusters of lifestyle behaviours can be distinguished already in children aged 1–3 years. To promote healthy lifestyle behaviour, efforts may focus on maintaining healthy behaviour in 1-year-olds and more on switching towards healthy behaviour in 2- and 3-year-olds.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>36434406</pmid><doi>10.1007/s00394-022-03056-x</doi><tpages>9</tpages><orcidid>https://orcid.org/0000-0002-3770-7750</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Behavior Beverages Chemistry Chemistry and Materials Science Child, Preschool Children Cluster analysis Demography Diet Exercise Feeding Behavior Food consumption Health Behavior Humans Life Style Lifestyles Nutrition Obesity Original Contribution Overweight Physical activity Regression analysis Screen time Snacks Sociodemographics Sugar Sweet taste Toddlers Vegetables |
title | Clusters of lifestyle behaviours and their associations with socio-demographic characteristics in Dutch toddlers |
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