IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v17y2020i19p7006-d419047.html
   My bibliography  Save this article

Correlates of Meeting the Physical Activity, Sedentary Behavior, and Sleep Guidelines for the Early Years among Belgian Preschool Children: The ToyBox-Study

Author

Listed:
  • Marieke De Craemer

    (Department of Rehabilitation Sciences, Ghent University, 9000 Ghent, Belgium
    Research Foundation Flanders, 1000 Brussels, Belgium)

  • Vera Verbestel

    (Department of Rehabilitation Sciences, Ghent University, 9000 Ghent, Belgium)

  • Greet Cardon

    (Department of Movement and Sports Sciences, Ghent University, 9000 Ghent, Belgium)

  • Odysseas Androutsos

    (Department of Nutrition and Dietetics, School of Physical Education, Sport Science and Dietetics, University of Thessaly, 42100 Trikala, Greece)

  • Yannis Manios

    (School of Health Sciences & Education, Department of Nutrition and Dietetics, Harokopio University, 17676 Athens, Greece)

  • Sebastien Chastin

    (Department of Health and Community Sciences, Glasgow Caledonian University, Glasgow G4 0BA, UK)

Abstract

Physical activity, sedentary behavior, and sleep guidelines for preschool children were already established and integrated into the 24 h movement behavior guidelines in 2017. The aim of the current study was to investigate correlates of meeting or not meeting the physical activity, sedentary behavior, and sleep guidelines in Belgian preschool children. In total, 595 preschool children (53.3% boys, 46.7% girls, mean age: 4.2 years) provided complete data for the three behaviors and potentially associated correlates. Physical activity was objectively measured with accelerometers. Screen time, sleep duration, and correlates were reported by parents with the use of a questionnaire. Backward logistic regression was used to identify factors associated with meeting all guidelines for weekdays and weekend days. In the final model, older preschoolers (OR = 1.89), having a normal weight compared to being underweight (OR = 0.30), having parents that do not watch a lot of television (OR = 0.99), and having a father that attained higher education (OR = 1.91) were associated with meeting all guidelines on weekdays. For weekend days, a significant association was found for attending a sports club (OR = 1.08). Overall, only a few factors were associated with meeting the guidelines. A more comprehensive measurement of preschool children’s potential correlates of physical activity, sedentary behavior, and sleep is warranted.

Suggested Citation

  • Marieke De Craemer & Vera Verbestel & Greet Cardon & Odysseas Androutsos & Yannis Manios & Sebastien Chastin, 2020. "Correlates of Meeting the Physical Activity, Sedentary Behavior, and Sleep Guidelines for the Early Years among Belgian Preschool Children: The ToyBox-Study," IJERPH, MDPI, vol. 17(19), pages 1-15, September.
  • Handle: RePEc:gam:jijerp:v:17:y:2020:i:19:p:7006-:d:419047
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/17/19/7006/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/17/19/7006/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Winkleby, M.A. & Jatulis, D.E. & Frank, E. & Fortmann, S.P., 1992. "Socioeconomic status and health: How education, income, and occupation contribute to risk factors for cardiovascular disease," American Journal of Public Health, American Public Health Association, vol. 82(6), pages 816-820.
    2. Jean-Philippe Chaput & Valerie Carson & Casey E. Gray & Mark S. Tremblay, 2014. "Importance of All Movement Behaviors in a 24 Hour Period for Overall Health," IJERPH, MDPI, vol. 11(12), pages 1-7, December.
    3. Yi-Ching Lin & Meng-Che Tsai & Carol Strong & Yi-Ping Hsieh & Chung-Ying Lin & Clara S. C. Lee, 2020. "Exploring Mediation Roles of Child Screen-Viewing between Parental Factors and Child Overweight in Taiwan," IJERPH, MDPI, vol. 17(6), pages 1-10, March.
    4. Vicky Van Stappen & Delfien Van Dyck & Julie Latomme & Ilse De Bourdeaudhuij & Luis Moreno & Piotr Socha & Violeta Iotova & Berthold Koletzko & Yannis Manios & Odysseas Androutsos & Greet Cardon & Mar, 2018. "Daily Patterns of Preschoolers’ Objectively Measured Step Counts in Six European Countries: Cross-Sectional Results from the ToyBox-Study," IJERPH, MDPI, vol. 15(2), pages 1-14, February.
    5. Marieke De Craemer & Duncan McGregor & Odysseas Androutsos & Yannis Manios & Greet Cardon, 2018. "Compliance with 24-h Movement Behaviour Guidelines among Belgian Pre-School Children: The ToyBox-Study," IJERPH, MDPI, vol. 15(10), pages 1-10, October.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Elina Engberg & Carola Ray & Suvi Määttä & Rejane A. O. Figueiredo & Marja H. Leppänen & Riikka Pajulahti & Leena Koivusilta & Liisa Korkalo & Kaija Nissinen & Henna Vepsäläinen & Nina Sajaniemi & Mai, 2022. "Parental Happiness Associates With the Co-occurrence of Preschool-Aged Children’s Healthy Energy Balance-Related Behaviors," Journal of Happiness Studies, Springer, vol. 23(4), pages 1493-1507, April.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Marga Decraene & Vera Verbestel & Greet Cardon & Violeta Iotova & Berthold Koletzko & Luis A. Moreno & María L. Miguel-Berges & Beata Gurzkowska & Odysseas Androutsos & Yannis Manios & Marieke De Crae, 2021. "Compliance with the 24-Hour Movement Behavior Guidelines and Associations with Adiposity in European Preschoolers: Results from the ToyBox-Study," IJERPH, MDPI, vol. 18(14), pages 1-24, July.
    2. Marieke De Craemer & Duncan McGregor & Odysseas Androutsos & Yannis Manios & Greet Cardon, 2018. "Compliance with 24-h Movement Behaviour Guidelines among Belgian Pre-School Children: The ToyBox-Study," IJERPH, MDPI, vol. 15(10), pages 1-10, October.
    3. Marieke De Craemer & Marga Decraene & Iris Willems & Feija Buysse & Ellen Van Driessche & Vera Verbestel, 2021. "Objective Measurement of 24-Hour Movement Behaviors in Preschool Children Using Wrist-Worn and Thigh-Worn Accelerometers," IJERPH, MDPI, vol. 18(18), pages 1-9, September.
    4. Hyunshik Kim & Jiameng Ma & Kenji Harada & Sunkyoung Lee & Ying Gu, 2020. "Associations between Adherence to Combinations of 24-h Movement Guidelines and Overweight and Obesity in Japanese Preschool Children," IJERPH, MDPI, vol. 17(24), pages 1-11, December.
    5. Jinfeng Zhao & Lisa Mackay & Kevin Chang & Suzanne Mavoa & Tom Stewart & Erika Ikeda & Niamh Donnellan & Melody Smith, 2019. "Visualising Combined Time Use Patterns of Children’s Activities and Their Association with Weight Status and Neighbourhood Context," IJERPH, MDPI, vol. 16(5), pages 1-16, March.
    6. Jake M. Najman & William Wang & Maria Plotnikova & Abdullah A. Mamun & David McIntyre & Gail M. Williams & James G. Scott & William Bor & Alexandra M. Clavarino, 0. "Poverty over the early life course and young adult cardio-metabolic risk," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 0, pages 1-10.
    7. M. Vernay & B. Salanave & C. Peretti & C. Druet & A. Malon & V. Deschamps & S. Hercberg & K. Castetbon, 2013. "Metabolic syndrome and socioeconomic status in France: The French Nutrition and Health Survey (ENNS, 2006–2007)," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 58(6), pages 855-864, December.
    8. Syed Hasan & Odmaa Narantungalag, & Martin Berka, 2022. "The intended and unintended consequences of large electricity subsidies: evidence from Mongolia," Discussion Papers 2202, School of Economics and Finance, Massey University, New Zealand.
    9. Chunping Han, 2014. "Health Implications of Socioeconomic Characteristics, Subjective Social Status, and Perceptions of Inequality: An Empirical Study of China," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 119(2), pages 495-514, November.
    10. Wenjian Zhou & Jianming Hou & Meng Sun & Chang Wang, 2022. "The Impact of Family Socioeconomic Status on Elderly Health in China: Based on the Frailty Index," IJERPH, MDPI, vol. 19(2), pages 1-14, January.
    11. Shoo Thien Lee & Jyh Eiin Wong & Geraldine K. L. Chan & Bee Koon Poh, 2021. "Association between Compliance with Movement Behavior Guidelines and Obesity among Malaysian Preschoolers," IJERPH, MDPI, vol. 18(9), pages 1-13, April.
    12. Manka Eunice Fuh & Brice Wilfried Obiang-Obounou*, 2019. "Overview of Migrant Women’s Health in South Korea: Policy Recommendations," The Journal of Social Sciences Research, Academic Research Publishing Group, vol. 5(3), pages 709-714, 03-2019.
    13. Melissa P L Chan & Robert S Weinhold & Reuben Thomas & Julia M Gohlke & Christopher J Portier, 2015. "Environmental Predictors of US County Mortality Patterns on a National Basis," PLOS ONE, Public Library of Science, vol. 10(12), pages 1-25, December.
    14. Benedicte Apouey & Andrew E. Clark, 2015. "Winning Big but Feeling no Better? The Effect of Lottery Prizes on Physical and Mental Health," Health Economics, John Wiley & Sons, Ltd., vol. 24(5), pages 516-538, May.
    15. Ching-Jung Yu & Jung-Chieh Du & Hsien-Chih Chiou & Chun-Cheng Feng & Ming-Yi Chung & Winnie Yang & Ying-Sheue Chen & Ling-Chu Chien & Betau Hwang & Mei-Lien Chen, 2016. "Sugar-Sweetened Beverage Consumption Is Adversely Associated with Childhood Attention Deficit/Hyperactivity Disorder," IJERPH, MDPI, vol. 13(7), pages 1-18, July.
    16. Yang Xiao & Yanjie Bian & Lei Zhang, 2020. "Mental Health of Chinese Online Networkers under COVID-19: A Sociological Analysis of Survey Data," IJERPH, MDPI, vol. 17(23), pages 1-17, November.
    17. Apouey, Bénédicte & Geoffard, Pierre-Yves, 2013. "Family income and child health in the UK," Journal of Health Economics, Elsevier, vol. 32(4), pages 715-727.
    18. Patricia Rarau & Justin Pulford & Hebe Gouda & Suparat Phuanukoonon & Chris Bullen & Robert Scragg & Bang Nguyen Pham & Barbara McPake & Brian Oldenburg, 2019. "Socio-economic status and behavioural and cardiovascular risk factors in Papua New Guinea: A cross-sectional survey," PLOS ONE, Public Library of Science, vol. 14(1), pages 1-18, January.
    19. Carlo Castellana, 2012. "Impact of the economic crisis on the Italian public healthcare expenditure," Papers 1205.2863, arXiv.org.
    20. Mejía-Guevara, Iván, 2015. "Economic inequality and intergenerational transfers: Evidence from Mexico," The Journal of the Economics of Ageing, Elsevier, vol. 5(C), pages 23-32.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:17:y:2020:i:19:p:7006-:d:419047. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.