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Multimodal assessment of body structure in young elite handball players using Dexa, 3D body scanning and anthropometry

Bibliographic Data

ID24028518
AuthorsCsilla Jang-Kapuy (Eötvös Loránd University), Fanny Zselyke Rátz-Sulyok (0009-0004-9067-7409, Eötvös Loránd University), Péter Bakonyi (0000-0002-6120-3384, Hungarian School Sport Federation), Bettina Béres (0009-0002-3523-5523, Hungarian School Sport Federation), Tamás Dobronyi (Hungarian School Sport Federation), Gergő Simon, Gy Simon (Hungarian School Sport Federation), Marton Ferenc Izso (Eötvös Loránd University), Annamaria Zsakai (0000-0001-8880-2056, Eötvös Loránd University), Tamás Szabó (0000-0003-0599-0624, Hungarian School Sport Federation)
Year2026
Issue67s
Pages53
Publication date2026-08-06
Open AccessYes
TypeARTICLE
VenueAnthropologiai Közlemények (JOURNAL)
Journal identifiersISSN: 0003-5440 • E-ISSN: 2560-0753
PublisherAnthropologiai Kozlemenyek (PUBLISHER)
DOI10.20330/anthropkozl.2026.67s.53
OpenAlexW7202176337
LanguageEN

Background: Accurate body composition assessment is essential in elite sports for athlete monitoring and performance optimization. Dual-energy X-ray absorptiometry (DEXA) is considered a reference method, however, its routine application is limited by cost, time requirements and the need for specialized equipment. Three-dimensional (3D) body scanning has emerged as a rapid, non-invasive and radiation-free alternative but its validity in adolescent elite athletes remains underinvestigated. Objective: This study aimed to compare body structure parameters measured by DEXA, 3D body scanning and traditional anthropometry in young elite handball players, and to assess the potential of 3D body scanning as a tool for body structure evaluation in elite sports. Subjects and methods: A total of 144 adolescent elite handball players participated in the study. Body composition was assessed using DEXA and a 3D body scanner using a standardized protocol. DEXA-derived variables included regional total mass and lean soft tissue mass of the upper limbs, lower limbs and trunk. The 3D scanner provided segmental body volumes and circumferential measurements. Dominant and non-dominant limbs were analysed separately. Pearson correlation analyses and linear regression models were used to evaluate relationships between measurements obtained by the methods. Results: Very strong correlations were found between 3D-derived segmental volumes and DEXA-derived regional total mass values (r = 0.936–0.983). Strong associations were also observed between segmental volumes and lean soft tissue mass (r = 0.836–0.952). Significant correlations were identified between conventional anthropometric circumferences and corresponding 3D-derived measurements (r = 0.855–0.942). Conclusions: As a rapid, non-invasive, radiation-free method, 3D body scanning may represent a practical tool for routine athlete monitoring and large-scale field assessments in elite youth sports.

3D Scanning · Anthropometry · Athletes · Body mass index · Body segment · Elite · Elite Athletes · Lean body mass

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