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Body Composition Profiles of Applicants to a Physical Education and Sports Major in Southeastern Mexico

Author

Listed:
  • Edgar I. Gasperín-Rodríguez

    (Nutrition Faculty, Veracruzan University, Veracruz 91700, Mexico)

  • Julio A. Gómez-Figueroa

    (Physical Education, Sport and Recreation School, Veracruzan University, Veracruz 94294, Mexico)

  • Luis M. Gómez-Miranda

    (Sports Faculty, Autonomous University of Baja California, Tijuana 22390, Mexico
    Research Group UABC-CA-341 in “Physical Performance and Health”, Autonomous University of Baja California, Tijuana 22390, Mexico)

  • Paul T. Ríos-Gallardo

    (Nutrition Faculty, Veracruzan University, Veracruz 91700, Mexico)

  • Carolina Palmeros-Exsome

    (Nutrition Faculty, Veracruzan University, Veracruz 91700, Mexico)

  • Marco A. Hernández-Lepe

    (Medical and Psychology School, Autonomous University of Baja California, Tijuana 22390, Mexico)

  • José Moncada-Jiménez

    (Human Movement Sciences Research Center (CIMOHU), University of Costa Rica, San José 11501, Costa Rica)

  • Diego A. Bonilla

    (Research Division, Dynamical Business & Science Society–DBSS International SAS, Bogotá 110311, Colombia
    Research Group in Physical Activity, Sports and Health Sciences—GICAFS, Universidad de Córdoba, Montería 230002, Colombia
    Research Group in Biochemistry and Molecular Biology, Faculty of Sciences and Education, Universidad Distrital Francisco José de Caldas, Bogotá 110311, Colombia
    Sport Genomics Research Group, Department of Genetics, Physical Anthropology and Animal Physiology, Faculty of Science and Technology, University of the Basque Country (UPV/EHU), 48940 Leioa, Spain)

Abstract

This study aimed to determine the body composition profile of candidates applying for a Physical Education and Sports major. 327 young adults (F: 87, M: 240) participated in this cross-sectional study. Nutritional status and body composition analysis were performed, and the profiles were generated using an unsupervised machine learning algorithm. Body mass index (BMI), percentage of fat mass (%FM), percentage of muscle mass (%MM), metabolic age (MA), basal metabolic rate (BMR), and visceral fat level (VFL) were used as input variables. BMI values were normal-weight although VFL was significantly higher in men (<0.001; η 2 = 0.104). MA was positively correlated with BMR (0.81 [0.77, 0.85]; p < 0.01), BMI (0.87 [0.84, 0.90]; p < 0.01), and VFL (0.77 [0.72, 0.81]; p < 0.01). The hierarchical clustering analysis revealed two significantly different age-independent profiles: Cluster 1 (n = 265), applicants of both sexes that were shorter, lighter, with lower adiposity and higher lean mass; and, Cluster 2 (n = 62), a group of overweight male applicants with higher VFL, taller, with lower %MM and estimated energy expended at rest. We identified two profiles that might help universities, counselors and teachers/lecturers to identify applicants in which is necessary to increase physical activity levels and improve dietary habits.

Suggested Citation

  • Edgar I. Gasperín-Rodríguez & Julio A. Gómez-Figueroa & Luis M. Gómez-Miranda & Paul T. Ríos-Gallardo & Carolina Palmeros-Exsome & Marco A. Hernández-Lepe & José Moncada-Jiménez & Diego A. Bonilla, 2022. "Body Composition Profiles of Applicants to a Physical Education and Sports Major in Southeastern Mexico," IJERPH, MDPI, vol. 19(23), pages 1-10, November.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:23:p:15685-:d:984270
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    References listed on IDEAS

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    1. Brock, Guy & Pihur, Vasyl & Datta, Susmita & Datta, Somnath, 2008. "clValid: An R Package for Cluster Validation," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 25(i04).
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    1. Diego A. Bonilla & Isabel A. Sánchez-Rojas & Darío Mendoza-Romero & Yurany Moreno & Jana Kočí & Luis M. Gómez-Miranda & Daniel Rojas-Valverde & Jorge L. Petro & Richard B. Kreider, 2022. "Profiling Physical Fitness of Physical Education Majors Using Unsupervised Machine Learning," IJERPH, MDPI, vol. 20(1), pages 1-13, December.

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