Body Composition and Risk of Eating Disorders in Dance Students
DOI:
https://doi.org/10.34256/ijk2612Keywords:
Dance, Somatotype, Eating Disorders, AnthropometryAbstract
Introduction: To analyze the relationship between body composition in students of contemporary and classical dance and the risk of eating disorders. Methods: Twenty-five students from contemporary dance and classical dance training programs at a public university participated in the study, all signed informed consent forms. Anthropometric assessment was conducted in the fasting state and after bladder voiding by a Level 3 anthropometrist. Measurements were taken in duplicate, with a third measurement performed when necessary. Data were entered into ISAK Metry software using the five-component fractionation profile. Risky eating behaviors were assessed using the EAT-18 questionnaire. All data were recorded in Excel and analyzed using JASP. Results. The body composition of the sample showed a somatotype of 4.2 (± 1.08) – 3.7 (± 0.98) – 2.0 (± 1.09), fat mass of 17.52 (± 2.78) kg, and muscle mass of 19.26 (± 3.15) kg. Mesomorphy was higher in the contemporary dance group (p = .032), whereas ectomorphy was higher in the classical dance group (p = .025). When analyzing the relationship between EAT-18 scores and body composition, higher scores were found among individuals with greater endomorphy. Conclusion: The study revealed differences in body composition between classical and contemporary dance students, with greater endomorphy observed in the classical dance group, although both disciplines exhibited a predominance of endomorphic characteristics. Endomorphy, rather than dance type, was associated with a higher risk according to EAT-18 scores. Given the small sample size, these results should be interpreted with caution; however, they highlight the need to integrate body composition assessments and mental health support to promote healthier dance training.
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Copyright (c) 2026 Ángela Patricia Bacelis Rivero, Sandra Paola Romero Rueda, Abraham May-Hau

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Articles published in the International Journal of Kinanthropometry are licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) license, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, provided appropriate credit is given to the original authors and the source.