Titre : Basketball

Basketball : Questions médicales fréquentes

Termes MeSH sélectionnés :

Body Composition

Questions fréquentes et termes MeSH associés

Diagnostic 2

#1

Comment diagnostiquer une blessure au genou au basketball ?

Un examen physique et des imageries comme l'IRM peuvent aider à diagnostiquer les blessures.
Blessures du genou Imagerie par résonance magnétique
#2

Quels tests pour évaluer une entorse de la cheville ?

Des tests de mobilité et des radiographies peuvent être utilisés pour évaluer une entorse.
Entorse de la cheville Radiographie

Symptômes 2

#1

Quels sont les symptômes d'une commotion cérébrale ?

Les symptômes incluent des maux de tête, des vertiges, et des troubles de la concentration.
Commotion cérébrale Symptômes neurologiques
#2

Comment reconnaître une déchirure musculaire ?

Une douleur aiguë, un gonflement et une incapacité à bouger le muscle sont des signes clés.
Déchirure musculaire Douleur

Prévention 2

#1

Comment prévenir les blessures au basketball ?

Un bon échauffement, des étirements et des techniques de jeu appropriées aident à prévenir les blessures.
Prévention des blessures Échauffement
#2

Quel équipement pour réduire les risques de blessures ?

Des chaussures adaptées, des protège-tibias et des genouillères peuvent réduire les risques.
Équipement de protection Chaussures de sport

Traitements 2

#1

Quel traitement pour une entorse de la cheville ?

Le traitement inclut le repos, la glace, la compression et l'élévation (méthode RICE).
Entorse de la cheville Traitement conservateur
#2

Comment traiter une tendinite au basketball ?

Le repos, la physiothérapie et des anti-inflammatoires sont souvent recommandés.
Tendinite Physiothérapie

Complications 2

#1

Quelles complications peuvent survenir après une blessure au genou ?

Des complications comme l'arthrose ou des instabilités peuvent survenir après une blessure.
Arthrose Instabilité du genou
#2

Quels sont les risques d'une commotion cérébrale répétée ?

Des commotions répétées peuvent entraîner des troubles cognitifs et des problèmes de santé à long terme.
Commotion cérébrale Troubles cognitifs

Facteurs de risque 2

#1

Quels sont les facteurs de risque de blessures au basketball ?

L'âge, le niveau de compétence, et le manque d'échauffement sont des facteurs de risque importants.
Facteurs de risque Blessures sportives
#2

Comment le terrain influence-t-il les blessures ?

Un terrain inégal ou glissant augmente le risque de chutes et de blessures au basketball.
Conditions de jeu Sécurité sportive
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Dr Olivier Menir

Contenu validé par Dr Olivier Menir

Expert en Médecine, Optimisation des Parcours de Soins et Révision Médicale


Validation scientifique effectuée le 16/05/2025

Contenu vérifié selon les dernières recommandations médicales

Auteurs principaux

Aaron T Scanlan

6 publications dans cette catégorie

Affiliations :
  • Human Exercise and Training Laboratory, Central Queensland University, Rockhampton, Australia.

Julio Calleja-González

6 publications dans cette catégorie

Affiliations :
  • Faculty of Education and Sport, University of the Basque Country / UPV-EHU, Leioa, Spain.

Sergio J Ibáñez

5 publications dans cette catégorie

Affiliations :
  • Group for Optimisation of Training and Sport Performance (GOERD), Faculty of Sport Science, University of Extremadura, Badajoz, Spain.
  • Faculty of Sports Sciences, University of Extremadura, Badajoz, Spain.

Iris Güldenpenning

3 publications dans cette catégorie

Affiliations :
  • Department of Sport & Health, Paderborn University, Warburger Str. 100, 33098 Paderborn, Germany. Electronic address: iris.gueldenpenning@uni-paderborn.de.

Matthias Weigelt

3 publications dans cette catégorie

Affiliations :
  • Department of Sport & Health, Paderborn University, Warburger Str. 100, 33098 Paderborn, Germany.

Bruno Figueira

3 publications dans cette catégorie

Affiliations :
  • Educational Research Institute, Education Academy, Vytautas Magnus University, Kaunas, Lithuania.
  • Research Center in Sports Sciences, Health Sciences and Human Development, CIDESD, CreativeLab Research Community, University of Trás-os-Montes e Alto Douro, Portugal.

Javier García-Rubio

3 publications dans cette catégorie

Affiliations :
  • Group for Optimisation of Training and Sport Performance (GOERD), Faculty of Sport Science, University of Extremadura, Badajoz, Spain.
  • Faculty of Sports Sciences, University of Extremadura, Badajoz, Spain.
Publications dans "Basketball" :

Daniele Conte

3 publications dans cette catégorie

Affiliations :
  • Institute of Sport Science and Innovations, Lithuanian Sports University, Kaunas, Lithuania.

Wilfried Kunde

2 publications dans cette catégorie

Affiliations :
  • Department of Psychology, Würzburg University, Röntgenring 11, 97070 Würzburg, Germany.

Tania Spiteri

2 publications dans cette catégorie

Affiliations :
  • School of Health Science, University of Notre Dame, Fremantle, Australia.

Vincent J Dalbo

2 publications dans cette catégorie

Affiliations :
  • Human Exercise and Training Laboratory, Central Queensland University, Rockhampton, Australia.

Rūtenis Paulauskas

2 publications dans cette catégorie

Affiliations :
  • Educational Research Institute, Education Academy, Vytautas Magnus University, Kaunas, Lithuania.

Sammy Othman

2 publications dans cette catégorie

Affiliations :
  • Drexel University College of Medicine, Philadelphia, Pennsylvania.
Publications dans "Basketball" :

Marco Pernigoni

2 publications dans cette catégorie

Affiliations :
  • Department of Coaching Science, Lithuanian Sports University, Kaunas, Lithuania.
Publications dans "Basketball" :

Davide Ferioli

2 publications dans cette catégorie

Affiliations :
  • UCAM Research Center for High Performance Sport, Catholic University of Murcia, Murcia, Spain.
Publications dans "Basketball" :

Johannes Meyer

2 publications dans cette catégorie

Affiliations :
  • Institute of Exercise Training and Sport Informatics, German Sport University Cologne, Germany. Electronic address: j.meyer@dshs-koeln.de.
Publications dans "Basketball" :

Frowin Fasold

2 publications dans cette catégorie

Affiliations :
  • Institute of Exercise Training and Sport Informatics, German Sport University Cologne, Germany.
Publications dans "Basketball" :

Karsten Schul

2 publications dans cette catégorie

Affiliations :
  • Institute of Exercise Training and Sport Informatics, German Sport University Cologne, Germany.
Publications dans "Basketball" :

Timo Schön

2 publications dans cette catégorie

Affiliations :
  • Institute of Exercise Training and Sport Informatics, German Sport University Cologne, Germany.
Publications dans "Basketball" :

Stefanie Klatt

2 publications dans cette catégorie

Affiliations :
  • Institute of Exercise Training and Sport Informatics, German Sport University Cologne, Germany; Sport and Exercise Science and Sports Medicine Research and Enterprise Group, Welkin Laboratories, University of Brighton, United Kingdom.
Publications dans "Basketball" :

Sources (10000 au total)

Artificial intelligence and body composition.

Although obesity is associated with chronic disease, a large section of the population with high BMI does not have an increased risk of metabolic disease. Increased visceral adiposity and sarcopenia a... We searched the following databases: Embase, Web of Science, and PubMed. There was a total of 354 search results. After removing duplicates, irrelevant studies, and reviews(a total of 303), 51 studies... AI techniques have been studied for body composition analysis in the context of diabetes mellitus, hypertension, cancer and many specialized diseases. Imaging techniques employed for AI methods includ... AI assisted measurement of body composition might assist in improved cardiovascular risk stratification when applied in the appropriate clinical context....

Associations of weight and body composition at birth with body composition and cardiometabolic markers in children aged 10 y: the Ethiopian infant anthropometry and body composition birth cohort study.

Although birth weight (BW) has been associated with later cardiovascular disease and type 2 diabetes, the role of birth fat mass (BFM) and birth fat-free mass (BFFM) on cardiometabolic health is uncle... To examine associations of BW, BFM, and BFFM with later anthropometry, body composition, abdominal fat, and cardiometabolic markers.... Birth cohort data on standardized exposure variables (BW, BFM, and BFFM) and follow-up information at age 10 y on anthropometry, body composition, abdominal fat, and cardiometabolic markers were inclu... Among 353 children, mean (SD) age was 9.8 (1.0) y, and 51.5% were boys. In the fully adjusted model, 1-SD higher BW and BFFM were associated with 0.81 cm (95% CI: 0.21, 1.41 cm) and 1.25 cm (95% CI: 0... BW and BFFM rather than BFM are predictors of height and FFM index at 10 y. Children with higher BW and BFFM showed higher insulin concentrations and homeostasis model assessment of insulin resistance...

Prenatal weight and regional body composition trajectories and neonatal body composition: The NICHD Foetal Growth Studies.

Gestational weight gain (GWG) and anthropometric trajectories may affect foetal programming and are potentially modifiable.... To assess concomitant patterns of change in weight, circumferences and adiposity across gestation as an integrated prenatal exposure, and determine how they relate to neonatal body composition.... Data are from a prospective cohort of singleton pregnancies (n = 2182) enrolled in United States perinatal centres, 2009-2013. Overall and by prepregnancy BMI group (overweight/obesity and healthy wei... Six trajectory patterns reflecting co-occurring changes in weight and MUAC, SSF and TSF across pregnancy were identified overall and by body mass index (BMI) group. Among people with a healthy weight ... Six integrated trajectory patterns of prenatal weight, subcutaneous adipose tissue and circumferences were observed that were minimally associated with neonatal body composition, suggesting a stronger...

Changes in body weight and body composition during the menstrual cycle.

The general perception is that menstrual cycle is a factor related to body weight and body composition fluctuations in women. The lack of a standardized methodology of the so far conducted studies has... In the current study measurements of body weight, circumferences, skinfolds and body composition with bioelectrical impedance analysis were conducted twice per week in 42 women during their menstrual ... Body weight was found to be statistically significantly higher during menstruation compared to the first week of the menstrual cycle by 0.450 kg, which could be attributed to a statistically significa... An increase of approximately 0.5 kg was observed during women's menstrual cycle, mostly due to extracellular fluid retention at menstruation days. These findings could be taken into account to interpr...

A compositional analysis study of body composition and cardiometabolic risk factors.

This cross-sectional study used compositional data analysis (CoDA) to do the following: 1) analyze the relative associations between fat and lean tissues with cardiometabolic risk factors; and 2) esti... A total of 397 adults with overweight or obesity were studied. Body composition consisted of visceral fat, abdominal subcutaneous fat, peripheral subcutaneous fat, other fat depots, skeletal muscle, a... Visceral fat mass, relative to the mass of the remaining tissues, was significantly associated with the metabolic syndrome score and five of eight remaining risk factors (p < 0.05). The relative contr... These CoDA findings reinforce that excess visceral fat contributes to less-favorable cardiometabolic risk factors....