IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v19y2022i18p11261-d909248.html
   My bibliography  Save this article

Sociodemographic and Socioeconomic Factors Influencing the Body Mass Composition of School-Age Children

Author

Listed:
  • Rafał Baran

    (Institute of Health Sciences, Medical College, University of Rzeszów, 35-959 Rzeszów, Poland
    SOLUTION-Statistical Analysis, 35-120 Rzeszów, Poland)

  • Joanna Baran

    (Institute of Health Sciences, Medical College, University of Rzeszów, 35-959 Rzeszów, Poland
    Natural and Medical Center for Innovative Research, 35-310 Rzeszów, Poland)

  • Justyna Leszczak

    (Institute of Health Sciences, Medical College, University of Rzeszów, 35-959 Rzeszów, Poland
    Natural and Medical Center for Innovative Research, 35-310 Rzeszów, Poland)

  • Agnieszka Bejer

    (Institute of Health Sciences, Medical College, University of Rzeszów, 35-959 Rzeszów, Poland
    Natural and Medical Center for Innovative Research, 35-310 Rzeszów, Poland)

  • Justyna Wyszyńska

    (Institute of Health Sciences, Medical College, University of Rzeszów, 35-959 Rzeszów, Poland
    Natural and Medical Center for Innovative Research, 35-310 Rzeszów, Poland)

Abstract

The purpose of the study was to evaluate the components of overweight, obesity, and body mass components among children aged 7 to 13 years against important sociodemographic factors. The analyses considered 315 school-age children from 7 to 13 years of age (164 boys and 151 girls). Each subject was assessed for body weight and height, body weight category, and main sociodemographic factors. Body mass components of body mass (body-fat percentage (BFP), muscle tissue, fat-free mass (FFM), and total body water (TBW) levels) were evaluated using the electrical bioimpedance method (BIA) and the TANITA 780 MC analyzer. A statistical analysis showed significant differences between the body composition of children living in cities in relation to children living in small towns and villages, and no significant differences were found between the results of children living in small towns and children living in villages. The presence of statistically significant differences between the values of the parameters of body composition of the studied children was demonstrated depending on the level of education of their fathers. The presence of statistically significant relationships between BMI of mothers and BFP of their children ( p = 0.003), FFM ( p = 0.003), muscle tissue ( p = 0.001), and TBW ( p = 0.001) has been demonstrated. The higher content of adipose tissue in children is strongly dependent on the higher BMI and body mass category of the mother, as well as the lower level of education of the father. The place of residence also significantly affects both the body fat content and the total body water content of body hydration. Living in the city is associated with better body composition.

Suggested Citation

  • Rafał Baran & Joanna Baran & Justyna Leszczak & Agnieszka Bejer & Justyna Wyszyńska, 2022. "Sociodemographic and Socioeconomic Factors Influencing the Body Mass Composition of School-Age Children," IJERPH, MDPI, vol. 19(18), pages 1-14, September.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:18:p:11261-:d:909248
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/19/18/11261/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/19/18/11261/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Apouey, Bénédicte H. & Geoffard, Pierre-Yves, 2016. "Parents’ education and child body weight in France: The trajectory of the gradient in the early years," Economics & Human Biology, Elsevier, vol. 20(C), pages 70-89.
    2. Classen, Timothy J. & Thompson, Owen, 2016. "Genes and the intergenerational transmission of BMI and obesity," Economics & Human Biology, Elsevier, vol. 23(C), pages 121-133.
    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. Costa-Font, Joan & Jofre-Bonet, Mireia, 2020. "Is the intergenerational transmission of overweight ‘gender assortative’?," Economics & Human Biology, Elsevier, vol. 39(C).
    2. Abrahamsson, Sara & Bütikofer, Aline & Karbownik, Krzysztof, 2023. "Swallow This: Childhood and Adolescent Exposure to Fast Food Restaurants, BMI, and Cognitive Ability," CEPR Discussion Papers 18213, C.E.P.R. Discussion Papers.
    3. Dimitrios Minos, 2020. "“Eat, my child.” Obesity among children in developing countries: Evidence from South Africa," Review of Development Economics, Wiley Blackwell, vol. 24(4), pages 1300-1311, November.
    4. Jason Fletcher & Katie M. Jajtner, 2021. "Intergenerational health mobility: Magnitudes and Importance of Schools and Place," Health Economics, John Wiley & Sons, Ltd., vol. 30(7), pages 1648-1667, July.
    5. Sari, Emre & Moilanen, Mikko & Sommerseth, Hilde Leikny, 2021. "Transgenerational health effects of in utero exposure to economic hardship: Evidence from preindustrial Southern Norway," Economics & Human Biology, Elsevier, vol. 43(C).
    6. Noghanibehambari, Hamid, 2022. "Intergenerational health effects of Medicaid," Economics & Human Biology, Elsevier, vol. 45(C).
    7. Ahmed Shoukry Rashad & Mesbah Fathy Sharaf, 2019. "Does maternal employment affect child nutrition status? New evidence from Egypt," Oxford Development Studies, Taylor & Francis Journals, vol. 47(1), pages 48-62, January.
    8. Bénédicte Apouey, 2019. "Inégalités socioéconomiques et conceptions subjectives du bien vieillir : Résultats d'une enquête quantitative," PSE Working Papers halshs-02093549, HAL.
    9. Finaret, Amelia B. & Masters, William A., 2020. "Can shorter mothers have taller children? Nutritional mobility, health equity and the intergenerational transmission of relative height," Economics & Human Biology, Elsevier, vol. 39(C).
    10. Bénédicte H. Apouey, 2017. "Conditions économiques et définitions subjectives du « bien vieillir »: Résultats d'une enquête quantitative," PSE Working Papers halshs-01475942, HAL.
    11. Gago, Cristina M. & Jurkowski, Janine & Beckerman-Hsu, Jacob P. & Aftosmes-Tobio, Alyssa & Figueroa, Roger & Oddleifson, Carly & Mattei, Josiemer & Kenney, Erica L. & Haneuse, Sebastien & Davison, Kir, 2022. "Exploring a theory of change: Are increases in parental empowerment associated with healthier weight-related parenting practices?," Social Science & Medicine, Elsevier, vol. 296(C).
    12. Evelina Björkegren & Mikael Lindahl & Mårten Palme & Emilia Simeonova, 2022. "Pre- and Post-Birth Components of Intergenerational Persistence in Health and Longevity: Lessons from a Large Sample of Adoptees," Journal of Human Resources, University of Wisconsin Press, vol. 57(1), pages 112-142.
    13. Chakraborty, Suparna & Wang, Miao Grace & Wong, M. C. Sunny, 2024. "Coupling and decoupling of ancestral linkages and current cross-border economic activities: Genetics and policy," Economics & Human Biology, Elsevier, vol. 54(C).
    14. Ning Wei & Lülin Zhou & Wenhao Huang, 2022. "Does an upward intergenerational educational spillover effect exist? The effect of children’s education on Chinese parents’ health," International Journal of Health Economics and Management, Springer, vol. 22(1), pages 69-89, March.
    15. Costa-Font, Joan & Jofre-Bonet, Mireia & Le Grand, Julian, 2020. "Vertical transmission of overweight: Evidence from a sample of English adoptees," Food Policy, Elsevier, vol. 97(C).
    16. Duncan, Roberto & Toledo, Patricia, 2018. "Long-run overweight levels and convergence in body mass index," Economics & Human Biology, Elsevier, vol. 31(C), pages 26-39.
    17. Tosi, Francesca & Rettaroli, Rosella, 2022. "Intergenerational transmission of dietary habits among Italian children and adolescents," Economics & Human Biology, Elsevier, vol. 44(C).
    18. Stoklosa, Michal & Shuval, Kerem & Drope, Jeffrey & Tchernis, Rusty & Pachucki, Mark & Yaroch, Amy & Harding, Matthew, 2018. "The intergenerational transmission of obesity: The role of time preferences and self-control," Economics & Human Biology, Elsevier, vol. 28(C), pages 92-106.
    19. Halliday, Timothy & Mazumder, Bhashkar & Wong, Ashley, 2021. "Intergenerational mobility in self-reported health status in the US," Journal of Public Economics, Elsevier, vol. 193(C).
    20. Fletcher, Jason & Jajtner, Katie M., 2023. "Multidimensional intergenerational mobility," Social Science & Medicine, Elsevier, vol. 328(C).

    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:19:y:2022:i:18:p:11261-:d:909248. 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.