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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
Main Authors: Krijger, Anne, Steenbergen, Elly, Schiphof-Godart, Lieke, van Rossum, Caroline, Verkaik-Kloosterman, Janneke, Elstgeest, Liset, ter Borg, Sovianne, Raat, Hein, Joosten, Koen
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container_title European journal of nutrition
container_volume 62
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
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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”). 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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. 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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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source EBSCOhost SPORTDiscus with Full Text; Springer Nature
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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