IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v17y2020i20p7492-d428243.html
   My bibliography  Save this article

Children’s Body Mass Index Depending on Dietary Patterns, the Use of Technological Devices, the Internet and Sleep on BMI in Children

Author

Listed:
  • Anna Bartosiewicz

    (Institute of Health Sciences, Medical College of Rzeszow University, 35-959 Rzeszow, Poland)

  • Edyta Łuszczki

    (Institute of Health Sciences, Medical College of Rzeszow University, 35-959 Rzeszow, Poland)

  • Maciej Kuchciak

    (Institute of Physical Culture Sciences, Medical College of Rzeszow University, 35-959 Rzeszow, Poland)

  • Gabriel Bobula

    (Institute of Physical Culture Sciences, Medical College of Rzeszow University, 35-959 Rzeszow, Poland)

  • Łukasz Oleksy

    (Orthopaedic and Rehabilitation Department, Medical University of Warsaw, 02-091 Warszawa, Poland
    R&D, Oleksy Medical & Sports Sciences, 37-100 Łańcut, Poland)

  • Artur Stolarczyk

    (Orthopaedic and Rehabilitation Department, Medical University of Warsaw, 02-091 Warszawa, Poland)

  • Katarzyna Dereń

    (Institute of Health Sciences, Medical College of Rzeszow University, 35-959 Rzeszow, Poland)

Abstract

Due to the increase in overweight as well as obesity in children, the researchers undertook the studies to determine the occurrence of these irregularities and identify the factors leading to them. The study aimed to assess the body mass index of the children subcategorized and compared depending on the dietary patterns, the use of technical devices, the Internet, and sleeping habits. The study group consisted of 376 children (189 girls and 187 boys) aged 6 to 15. The body composition estimates were obtained with the use of a foot-to-foot bioelectrical impedance analysis, the body height was measured by means of a stadiometer, and blood pressure was monitored. The research questionnaire was distributed among the surveyed and included the question concerning the children’s lifestyle, eating and sleeping habits, the use of electronic devices, the Internet, and socio-demographic data. As indicated, the number of sleeping hours per day significantly negatively correlated with body mass index (BMI), whereas the frequency of using the smartphone had a positive correlation with BMI. The children who sleep less and spend more time using the smartphone had higher BMI values. Bearing in mind the conditions that may have an influence on the BMI of early-school age children, the emphasis must be placed on healthy lifestyle education among children and parents alike.

Suggested Citation

  • Anna Bartosiewicz & Edyta Łuszczki & Maciej Kuchciak & Gabriel Bobula & Łukasz Oleksy & Artur Stolarczyk & Katarzyna Dereń, 2020. "Children’s Body Mass Index Depending on Dietary Patterns, the Use of Technological Devices, the Internet and Sleep on BMI in Children," IJERPH, MDPI, vol. 17(20), pages 1-17, October.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:20:p:7492-:d:428243
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/17/20/7492/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/17/20/7492/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Knai, Cecile & Suhrcke, Marc & Lobstein, Tim, 2007. "Obesity in Eastern Europe: An overview of its health and economic implications," Economics & Human Biology, Elsevier, vol. 5(3), pages 392-408, December.
    2. Joanna Baran & Aneta Weres & Ewelina Czenczek-Lewandowska & Edyta Łuszczki & Grzegorz Sobek & Grzegorz Pitucha & Justyna Leszczak & Artur Mazur, 2019. "Early Eating Patterns and Overweight and Obesity in a Sample of Preschool Children in South-East Poland," IJERPH, MDPI, vol. 16(17), pages 1-9, August.
    Full references (including those not matched with items on IDEAS)

    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. Dagmar Sigmundová & Erik Sigmund & Jana Vokáčová & Jaroslava Kopčáková, 2014. "Parent-Child Associations in Pedometer-Determined Physical Activity and Sedentary Behaviour on Weekdays and Weekends in Random Samples of Families in the Czech Republic," IJERPH, MDPI, vol. 11(7), pages 1-19, July.
    2. Cavaco, Sandra & Eriksson, Tor & Skalli, Ali, 2014. "Life cycle development of obesity and its determinants in six European countries," Economics & Human Biology, Elsevier, vol. 14(C), pages 62-78.
    3. Eiji Yamamura, 2012. "Influence of body image in urbanized areas: differences in long-term changes in teenage body mass index between boys and girls in Japan," Journal of Bioeconomics, Springer, vol. 14(3), pages 243-256, October.
    4. Aliaksandr Amialchuk & Kateryna Bornukova & Mir M. Ali, 2018. "Will a Decline in Smoking Increase Body Weights? Evidence from Belarus," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 44(2), pages 190-210, April.
    5. Costa-Font, Joan & Mas, Núria, 2016. "‘Globesity’? The effects of globalization on obesity and caloric intake," Food Policy, Elsevier, vol. 64(C), pages 121-132.
    6. Braha, Kushtrim & Cupák, Andrej & Pokrivčák, Ján & Qineti, Artan & Rizov, Marian, 2017. "Economic analysis of the link between diet quality and health: Evidence from Kosovo," Economics & Human Biology, Elsevier, vol. 27(PA), pages 261-274.
    7. Daouli, Joan & Davillas, Apostolos & Demoussis, Michael & Giannakopoulos, Nicholas, 2013. "The determinants of body mass in Greece: Evidence from the National Health Survey," MPRA Paper 66392, University Library of Munich, Germany.
    8. Staudigel, Matthias, 2011. "How (much) do food prices contribute to obesity in Russia?," Economics & Human Biology, Elsevier, vol. 9(2), pages 133-147, March.
    9. Rosemary J Korda & Grace Joshy & Ellie Paige & James R G Butler & Louisa R Jorm & Bette Liu & Adrian E Bauman & Emily Banks, 2015. "The Relationship between Body Mass Index and Hospitalisation Rates, Days in Hospital and Costs: Findings from a Large Prospective Linked Data Study," PLOS ONE, Public Library of Science, vol. 10(3), pages 1-16, March.
    10. Pertold Filip, 2020. "Obesity around Retirement Age: International Comparison Using SHARE," Central European Journal of Public Policy, Sciendo, vol. 14(1), pages 1-18, June.
    11. Braha, Kushtrim1mailto & Cupák, Andrej & Qineti, Artan & Pokrivčák, Ján & Rizov, Marian, 2017. "Economic analysis of the link between diet quality and health: Evidence from Kosovar micro-data," 2017 International Congress, August 28-September 1, 2017, Parma, Italy 261150, European Association of Agricultural Economists.
    12. Yount, Kathryn M. & Hoddinott, John & Stein, Aryeh D., 2010. "Disability and self-rated health among older women and men in rural Guatemala: The role of obesity and chronic conditions," Social Science & Medicine, Elsevier, vol. 71(8), pages 1418-1427, October.
    13. Eiji YAMAMURA, 2011. "pOSITIVE EXTERNALITIES OF CONGESTION ON HEALTH: A CASE STUDY OF CHRONIC ILLNESS IN JAPAN FOR THE PERIOD 1988– 2009," Theoretical and Empirical Researches in Urban Management, Research Centre in Public Administration and Public Services, Bucharest, Romania, vol. 6(3), pages 15-34, August.
    14. Costa-i-Font, Joan & Mas, Núria & Navarro, Patricia, 2013. "Globesity: is globalization a pathway to obesity?," LSE Research Online Documents on Economics 49488, London School of Economics and Political Science, LSE Library.
    15. Erik Sigmund & Dagmar Sigmundová & Petr Badura & Michal Kalman & Zdenek Hamrik & Jan Pavelka, 2015. "Temporal Trends in Overweight and Obesity, Physical Activity and Screen Time among Czech Adolescents from 2002 to 2014: A National Health Behaviour in School-Aged Children Study," IJERPH, MDPI, vol. 12(9), pages 1-21, September.
    16. Mazzocchi, Mario & Traill, W. Bruce, 2008. "A structural model of wealth, obesity and health in the UK," 2008 International Congress, August 26-29, 2008, Ghent, Belgium 43968, European Association of Agricultural Economists.
    17. A. Konnopka & M. Bödemann & H.-H. König, 2011. "Health burden and costs of obesity and overweight in Germany," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 12(4), pages 345-352, August.
    18. Jana Pelclová & Karel Frömel & Emil Řepka & Ladislav Bláha & Aleš Suchomel & Igor Fojtík & Dana Feltlová & Petr Valach & Svatopluk Horák & Jiří Nykodým & Michal Vorlíček, 2016. "Is Pedometer-Determined Physical Activity Decreasing in Czech Adults? Findings from 2008 to 2013," IJERPH, MDPI, vol. 13(10), pages 1-10, October.

    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:20:p:7492-:d:428243. 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.