Skip to Main Content (Press Enter)

Logo UNIMORE
  • ×
  • Home
  • Corsi
  • Insegnamenti
  • Professioni
  • Persone
  • Pubblicazioni
  • Strutture
  • Terza Missione
  • Attività
  • Competenze

UNI-FIND
Logo UNIMORE

|

UNI-FIND

unimore.it
  • ×
  • Home
  • Corsi
  • Insegnamenti
  • Professioni
  • Persone
  • Pubblicazioni
  • Strutture
  • Terza Missione
  • Attività
  • Competenze
  1. Pubblicazioni

Revising BMI Cut-Off Points for Overweight and Obesity in Male Athletes: An Analysis Based on Multivariable Model-Building

Articolo
Data di Pubblicazione:
2025
Citazione:
Revising BMI Cut-Off Points for Overweight and Obesity in Male Athletes: An Analysis Based on Multivariable Model-Building / Milanese, C.; Itani, L.; Cavedon, V.; Saadeddine, D.; Raggi, S.; Berri, E.; El Ghoch, M.. - In: NUTRIENTS. - ISSN 2072-6643. - 17:5(2025), pp. N/A-N/A. [10.3390/nu17050908]
Abstract:
Background: Body composition in athletes is characterized by pronounced muscle mass and low body fat (BF). Over and excessive adiposity are thus expected in athletes at higher body mass index (BMI) levels than those suggested by the World Health Organization (WHO). Therefore, we aimed to test the validity of WHO BMI cut-off points for overweight and obesity, respectively (i.e., >= 25 kg/m2 and 30 kg/m2) in young male athletes from different sport disciplines in Italy. Methods: This study includes 622 male young adult athletes of mean age 25.7 +/- 4.7 years who were initially categorized according to the WHO BMI classification, and then re-categorized by adiposity status based on total BF% as measured by dual-energy X-ray absorptiometry (DXA). A predictive equation has been developed utilizing multivariable model-building to predict the best BMI cut-offs for identifying overweight and obesity in this population. The agreement between the different classification systems was assessed with the kappa statistic (kappa). Results: According to the WHO BMI classification, 451 (72.5%) individuals were of normal weight, 148 (23.8%) were with overweight and 23 (3.7%) were with obesity, but based on the total BF%, 598 (96.1%) were of normal weight, and only 19 (3.1%) were with overweight and 5 (0.8%) were with obesity, revealing a weak agreement between the two classification systems (WHO BMI vs. BF%; kappa = 0.169). On the other hand, new BMI cut-off points were identified (BMI >= 28.2 kg/m2 for overweight and 33.7 kg/m2 for obesity) and showed good agreement with the BF% classification system (kappa = 0.522). Conclusions: The currently used WHO BMI cut-offs are not suitable for determining weight status in young male athletes, and since the newly proposed ones demonstrated a good performance, these should be implemented in new guidelines.
Tipologia CRIS:
Articolo su rivista
Keywords:
BF; athletes; body composition; cut-off; obesity; overweight; sport
Elenco autori:
Milanese, C.; Itani, L.; Cavedon, V.; Saadeddine, D.; Raggi, S.; Berri, E.; El Ghoch, M.
Autori di Ateneo:
BERRI ELISA
EL GHOCH Marwan
RAGGI SILVIA
SAADEDDINE Dana
Link alla scheda completa:
https://iris.unimore.it/handle/11380/1375668
Link al Full Text:
https://iris.unimore.it//retrieve/handle/11380/1375668/839331/nutrients-17-00908-v2.pdf
Pubblicato in:
NUTRIENTS
Journal
  • Utilizzo dei cookie

Realizzato con VIVO | Designed by Cineca | 26.4.5.0