IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v19y2022i10p6300-d821377.html
   My bibliography  Save this article

Potential Energy as an Alternative for Assessing Lower Limb Peak Power in Children: A Bayesian Hierarchical Analysis

Author

Listed:
  • Jorge R. Fernandez-Santos

    (GALENO Research Group, Department of Physical Education, Faculty of Education Sciences, University of Cádiz, 11519 Cádiz, Spain
    Biomedical Research and Innovation Institute of Cádiz (INiBICA) Research Unit, 11009 Cádiz, Spain)

  • Jose V. Gutierrez-Manzanedo

    (Department of Physical Education, Faculty of Education Sciences, University of Cádiz, 11519 Cádiz, Spain)

  • Pelayo Arroyo-Garcia

    (Department of Physical Education, Faculty of Education Sciences, University of Cádiz, 11519 Cádiz, Spain)

  • Jose Izquierdo-Jurado

    (Department of Physical Education, Faculty of Education Sciences, University of Cádiz, 11519 Cádiz, Spain)

  • Jose L. Gonzalez-Montesinos

    (Department of Physical Education, Faculty of Education Sciences, University of Cádiz, 11519 Cádiz, Spain)

Abstract

The aim of this study was to analyze the use of potential energy (PE) as an alternative method to assess peak power of the lower limbs (PP) in children. 815 Spanish children (416 girls; 6–11 years old; Body Mass Index groups (n): underweight = 40, normal weight = 431, overweight = 216, obese = 128) were involved in this study. All participants performed a Countermovement Jump (CMJ) test. PP was calculated using Duncan (PP DUNCAN ), Gomez-Bruton (PP GOMEZ ) and PE CMJ formulas. A model with PE CMJ as the predictor variable showed a higher predictive accuracy with PP DUNCAN and PP GOMEZ than CMJ height (R 2 = 0.99 and 0.97, respectively; ELPD diff = 1037.0 and 646.7, respectively). Moreover, PE CMJ showed a higher linear association with PP DUNCAN and PP GOMEZ across BMI groups than CMJ height ( β PECMJ range from 0.67 to 0.77 predicting PP DUNCAN ; and from 0.90 to 1.13 predicting PP GOMEZ ). Our results provide further support for proposing PE CMJ as an index to measure PP of the lower limbs, taking into account the children’s weight and not only the height of the jump. Therefore, we suggest the use of PE CMJ in physical education classes as a valid method for estimating PP among children when laboratory methods are not feasible.

Suggested Citation

  • Jorge R. Fernandez-Santos & Jose V. Gutierrez-Manzanedo & Pelayo Arroyo-Garcia & Jose Izquierdo-Jurado & Jose L. Gonzalez-Montesinos, 2022. "Potential Energy as an Alternative for Assessing Lower Limb Peak Power in Children: A Bayesian Hierarchical Analysis," IJERPH, MDPI, vol. 19(10), pages 1-9, May.
  • Handle: RePEc:gam:jijerp:v:19:y:2022:i:10:p:6300-:d:821377
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/19/10/6300/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/19/10/6300/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Andrew Gelman & Ben Goodrich & Jonah Gabry & Aki Vehtari, 2019. "R-squared for Bayesian Regression Models," The American Statistician, Taylor & Francis Journals, vol. 73(3), pages 307-309, July.
    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. Harkness, Caroline & Areal, Francisco J. & Semenov, Mikhail A. & Senapati, Nimai & Shield, Ian F. & Bishop, Jacob, 2023. "Towards stability of food production and farm income in a variable climate," Ecological Economics, Elsevier, vol. 204(PA).
    2. Jonas Dehning & Sebastian B. Mohr & Sebastian Contreras & Philipp Dönges & Emil N. Iftekhar & Oliver Schulz & Philip Bechtle & Viola Priesemann, 2023. "Impact of the Euro 2020 championship on the spread of COVID-19," Nature Communications, Nature, vol. 14(1), pages 1-14, December.
    3. Jackson, Robert & Rainey, Carlisle, 2023. "Generation Effects on Americans’ Symbolic Ideology and Attitudes Toward the Economic Role of Government," SocArXiv ck7de, Center for Open Science.
    4. Andrew J Tanentzap & Samuel Cottingham & Jérémy Fonvielle & Isobel Riley & Lucy M Walker & Samuel G Woodman & Danai Kontou & Christian M Pichler & Erwin Reisner & Laurent Lebreton, 2021. "Microplastics and anthropogenic fibre concentrations in lakes reflect surrounding land use," PLOS Biology, Public Library of Science, vol. 19(9), pages 1-18, September.
    5. Adrian Rauchfleisch & Mike S Schäfer & Dario Siegen, 2021. "Beyond the ivory tower: Measuring and explaining academic engagement with journalists, politicians and industry representatives among Swiss professorss," PLOS ONE, Public Library of Science, vol. 16(5), pages 1-20, May.
    6. Sonja Herrmann & Christian Nagel, 2023. "Early Careers of Graduates from Private and Public Universities in Germany: A Comparison of Income Differences Regarding the First Employment," Research in Higher Education, Springer;Association for Institutional Research, vol. 64(1), pages 129-146, February.
    7. Connor M. French & Laura D. Bertola & Ana C. Carnaval & Evan P. Economo & Jamie M. Kass & David J. Lohman & Katharine A. Marske & Rudolf Meier & Isaac Overcast & Andrew J. Rominger & Phillip P. A. Sta, 2023. "Global determinants of insect mitochondrial genetic diversity," Nature Communications, Nature, vol. 14(1), pages 1-15, December.
    8. Carlos Iglesias Pastrana & Francisco Javier Navas González & Elena Ciani & María Esperanza Camacho Vallejo & Juan Vicente Delgado Bermejo, 2022. "Bayesian Linear Regression and Natural Logarithmic Correction for Digital Image-Based Extraction of Linear and Tridimensional Zoometrics in Dromedary Camels," Mathematics, MDPI, vol. 10(19), pages 1-24, September.
    9. Heng, Jiani & Hong, Yongmiao & Hu, Jianming & Wang, Shouyang, 2022. "Probabilistic and deterministic wind speed forecasting based on non-parametric approaches and wind characteristics information," Applied Energy, Elsevier, vol. 306(PA).
    10. Lkhagvadorj Munkhdalai & Tsendsuren Munkhdalai & Van Huy Pham & Jang-Eui Hong & Keun Ho Ryu & Nipon Theera-Umpon, 2022. "Neural Network-Augmented Locally Adaptive Linear Regression Model for Tabular Data," Sustainability, MDPI, vol. 14(22), pages 1-21, November.
    11. Carolina Bello & Thomas W. Crowther & Danielle Leal Ramos & Teresa Morán-López & Marco A. Pizo & Daisy H. Dent, 2024. "Frugivores enhance potential carbon recovery in fragmented landscapes," Nature Climate Change, Nature, vol. 14(6), pages 636-643, June.
    12. Magdalena Kogut-Jaworska & Elżbieta Ociepa-Kicińska, 2023. "Practical Implications of Smart Specialization Strategy: Barriers to Implementation, Role of the Public Sector, and Benefits for Entrepreneurs," SAGE Open, , vol. 13(2), pages 21582440231, June.
    13. Joaquim Fernando Pinto da Costa & Manuel Cabral, 2022. "Statistical Methods with Applications in Data Mining: A Review of the Most Recent Works," Mathematics, MDPI, vol. 10(6), pages 1-22, March.
    14. Arnaud Gallou & Alistair S. Jump & Joshua S. Lynn & Richard Field & Severin D. H. Irl & Manuel J. Steinbauer & Carl Beierkuhnlein & Jan-Chang Chen & Chang-Hung Chou & Andreas Hemp & Yohannes Kidane & , 2023. "Diurnal temperature range as a key predictor of plants’ elevation ranges globally," Nature Communications, Nature, vol. 14(1), pages 1-8, December.

    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:10:p:6300-:d:821377. 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.