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Overweight in Young Athletes: New Predictive Model of Overfat Condition

Author

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  • Gabriele Mascherini

    (Dipartimento di Medicina Sperimentale e Clinica, Università degli Studi di Firenze, 50134 Firenze, Italy)

  • Cristian Petri

    (Dipartimento di Medicina Sperimentale e Clinica, Università degli Studi di Firenze, 50134 Firenze, Italy)

  • Elena Ermini

    (Dipartimento di Medicina Sperimentale e Clinica, Università degli Studi di Firenze, 50134 Firenze, Italy)

  • Vittorio Bini

    (Dipartimento di Medicina, Università di Perugia, 06156 Perugia, Italy)

  • Piergiuseppe Calà

    (Sector “Health and Safety in the Workplace and Special Processes in the Field of Prevention”, Directorate of Citizenship Rights and Social Cohesion, 50139 Firenze, Italy)

  • Giorgio Galanti

    (Dipartimento di Medicina Sperimentale e Clinica, Università degli Studi di Firenze, 50134 Firenze, Italy)

  • Pietro Amedeo Modesti

    (Dipartimento di Medicina Sperimentale e Clinica, Università degli Studi di Firenze, 50134 Firenze, Italy)

Abstract

The aim of the study is to establish a simple and low-cost method that, associated with Body Mass Index (BMI), differentiates overweight conditions due to a prevalence of lean mass compared to an excess of fat mass during the evaluation of young athletes. 1046 young athletes (620 male, 426 female) aged between eight and 18 were enrolled. Body composition assessments were performed with anthropometry, circumferences, skinfold, and bioimpedance. Overweight was established with BMI, while overfat was established with the percentage of fat mass: 3.5% were underweight, 72.8% were normal weight, 20.1% were overweight, and 3.5% were obese according to BMI; according to the fat mass, 9.5% were under fat, 63.6% were normal fat, 16.2% were overfat, and 10.8% were obese. Differences in overfat prediction were found using BMI alone or with the addition of the triceps fold (area under the receiver operating characteristics curve (AUC) for BMI = 0.867 vs. AUC for BMI + TRICEPS = 0.955, p < 0.001). These results allowed the creation of a model factoring in age, sex, BMI, and triceps fold that could provide the probability that a young overweight athlete is also in an overfat condition. The calculated probability could reduce the risk of error in establishing the correct weight status of young athletes.

Suggested Citation

  • Gabriele Mascherini & Cristian Petri & Elena Ermini & Vittorio Bini & Piergiuseppe Calà & Giorgio Galanti & Pietro Amedeo Modesti, 2019. "Overweight in Young Athletes: New Predictive Model of Overfat Condition," IJERPH, MDPI, vol. 16(24), pages 1-10, December.
    • Handle: RePEc:gam:jijerp:v:16:y:2019:i:24:p:5128-:d:298288
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    References listed on IDEAS

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    1. Chris Roberts & J. Freeman & O. Samdal & C. Schnohr & M. Looze & S. Nic Gabhainn & R. Iannotti & M. Rasmussen, 2009. "The Health Behaviour in School-aged Children (HBSC) study: methodological developments and current tensions," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 54(2), pages 140-150, September.
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    1. Annalisa Terenzio & Alice Cassera & Adriano Gervasoni & Alessandra Pozzi & Antonina Orlando & Andrea Greco & Paola Palestini & Emanuela Cazzaniga, 2021. "The Impact of a Nutritional Intervention Program on Eating Behaviors in Italian Athletes," IJERPH, MDPI, vol. 18(14), pages 1-8, July.
    2. Stefania Toselli & Elisabetta Marini & Pasqualino Maietta Latessa & Luca Benedetti & Francesco Campa, 2020. "Maturity Related Differences in Body Composition Assessed by Classic and Specific Bioimpedance Vector Analysis among Male Elite Youth Soccer Players," IJERPH, MDPI, vol. 17(3), pages 1-10, January.
    3. Katarzyna Ługowska & Wojciech Kolanowski, 2022. "The Impact of Physical Activity at School on Body Fat Content in School-Aged Children," IJERPH, MDPI, vol. 19(19), pages 1-18, September.
    4. Stefania Toselli, 2021. "Body Composition and Physical Health in Sports Practice: An Editorial," IJERPH, MDPI, vol. 18(9), pages 1-4, April.
    5. Imre Soós & Krzysztof Borysławski & Michał Boraczyński & Ferenc Ihasz & Robert Podstawski, 2022. "Anthropometric and Physiological Profiles of Hungarian Youth Male Soccer Players of Varying Ages and Playing Positions: A Multidimensional Assessment with a Critical Approach," IJERPH, MDPI, vol. 19(17), pages 1-18, September.

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