Results 151 to 160 of about 172,289 (379)

Skin Diseases in Long‐Distance Runners

JEADV Clinical Practice, EarlyView.
ABSTRACT Long‐distance running, including both road running and trail/mountain running, has significantly increased in popularity in recent years. The prolonged, repetitive physical activity combined with environmental exposures predisposes runners to a range of dermatological problems.
Henna Ahomies, Vincent Descamps, Stéphanie Leclerc‐Mercier, Nicolas Kluger   +3 more
wiley   +1 more source

Efficacy of Ultrasound-Guided Injection of Platelet-Rich Plasma in Treatment of Sports-Related Meniscal Injuries

Indian Journal of Radiology and Imaging
Purpose Meniscal injuries are a common occurrence in sports-related activities, often leading to pain, reduced joint function, and impaired athletic performance.
Prabakar Singh Raju, Makesh Ram Sriraghavan, Pazhani Jayaraman, Bheeshma Balasubramaniam, Karthik Shanmugavel Karuppiah, Poornima Kumararaja   +5 more
doaj   +1 more source

Reducing ACL injury risk: A meta‐analysis of prevention programme effectiveness

Knee Surgery, Sports Traumatology, Arthroscopy, EarlyView.
Abstract Purpose The aim of this study was to conduct a meta‐analysis of the literature regarding anterior cruciate ligament (ACL) injury prevention programmes (IPPs) in order to assess the effectiveness of ACL prevention programmes based on current high‐quality studies.
Clemens Clar, Stefan F. Fischerauer, Andreas Leithner, Laura Rasic, Paul Ruckenstuhl, Patrick Sadoghi   +5 more
wiley   +1 more source

Race predictors and hemodynamic alteration after an ultra-trail marathon race

Open Access Journal of Sports Medicine, 2017
Noppon Taksaudom,1 Natee Tongsiri,2 Amarit Potikul,1 Chawakorn Leampriboon,1 Apichat Tantraworasin,1 Anong Chaiyasri,1 1Cardiovascular and Thoracic Surgery Unit, Department of Surgery, Chiang Mai University Hospital, 2Department of Mathematics, Faculty ...
Taksaudom N, Tongsiri N, Potikul A, Leampriboon C, Tantraworasin A, Chaiyasri A   +5 more
doaj  

Beyond physical recovery: investigating athletic identity as a mediator between social support and psychological readiness for return to sport

Australian Journal of Psychology
Objective Despite consensus on the positive relationships between social support, psychological readiness for returning to sport, and athletic identity, debate persists regarding the specific impact of these factors on athletes’ athletic identity and ...
Siqi Liu, Young-Eun Noh
doaj   +1 more source

Poor knee strength is associated with higher incidence of knee injury in adolescent female football players: The Karolinska football injury cohort

Knee Surgery, Sports Traumatology, Arthroscopy, EarlyView.
Abstract Purpose To investigate the association between common measures of trunk and lower extremity range of motion (ROM), strength, the results of one‐leg jump tests at baseline and the incidence of subsequent substantial knee injuries in adolescent female football players.
Anne Fältström, Martin Asker, Nathan Weiss, Victor Lyberg, Markus Waldén, Martin Hägglund, Ulrika Tranaeus, Eva Skillgate   +7 more
wiley   +1 more source

Return to competition after ACL reconstruction: Factors influencing rates and timing in Swedish football players

Knee Surgery, Sports Traumatology, Arthroscopy, EarlyView.
Abstract Purpose To investigate the rate and timing for return to football league games after anterior cruciate ligament reconstruction (ACLR) in Swedish players, examining associations with sex, age, level, graft and additional ACL surgery. Method Data from the Swedish National Knee Registry (SNKLR) and the Swedish Football Association's IT System ...
Alexander Sandon, Joanna Kvist, Henrik Hedevik, Magnus Forssblad   +3 more
wiley   +1 more source

Athletic Injuries

, 1938
NULL AUTHOR_ID
openalex   +1 more source

Clinical Workshop – Imaging of Athletic Injuries

, 2006
Steven D. Stovitz
openalex   +2 more sources

Image anomaly detection and prediction scheme based on SSA optimized ResNet50-BiGRU model [PDF]

arXiv
Image anomaly detection is a popular research direction, with many methods emerging in recent years due to rapid advancements in computing. The use of artificial intelligence for image anomaly detection has been widely studied. By analyzing images of athlete posture and movement, it is possible to predict injury status and suggest necessary adjustments.
arxiv