Recent publications have reported differences in the incidence, rate, risk, and type of sports injury among men and women. We undertook a prospective study to determine the incidence of injury among high school basketball players and to examine the differences in injury type, incidence, rate, and risk between male and female athletes. During a single basketball season, an injury survey of girls' varsity teams at 100 class 4A and 5A high schools in Texas was conducted. These data were previously reported. We surveyed the same 100 high schools during a subsequent season to gather injury data from the boys' varsity teams. The athletic trainer collected data on each reportable injury and reported the data weekly to the University Interscholastic League. A reportable injury was defined as one that occurred during a practice or a game, resulted in missed practice or game time, required physician consultation, or involved the head or the face. The boys' and girls' data were compared and statistically analyzed. The rate of injury was 0.56 among the boys and 0.49 among the girls. The risk of injury per hour of exposure was not significantly different between the two groups. In both groups, the most common injuries were sprains, and the most commonly injured area was the ankle, followed by the knee. Female athletes had a significantly higher rate of knee injuries including a 3.79 times greater risk of anterior cruciate ligament injuries. For both sexes, the risk of injury during a game was significantly higher than during practice.
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http://dx.doi.org/10.1177/03635465990270030401 | DOI Listing |
Sports Health
January 2025
University of Bradford, Bradford, UK.
Risk factors associated with depression in athletes include biological sex, physical pain, and history of sport-related concussion (SRC). However, although there are well-documented benefits of sport and physical activity on mental health, many sportspeople still take the risk of competing in contact sports. Therefore, this infographic, supported by scientific evidence, aims to provide sportspeople with an informed decision on their participation.
View Article and Find Full Text PDFTrials
January 2025
Physiotherapy Department, Department of Pathology and Surgery, Miguel Hernández University, San Juan de Alicante, Alicante, Spain.
Background: Women's football has experienced exponential growth over the last 10 years. Its popularity is associated with an increase in ACL injuries. They constitute a major current problem as they account for 43% of the injury burden during the sports season.
View Article and Find Full Text PDFSci Rep
January 2025
Seenovate, Paris, 75009, France.
Optimizing athletic training programs with the support of predictive models is an active research topic, fuelled by a consistent data collection. The Fitness-Fatigue Model (FFM) is a pioneer for modelling responses to training on performance based on training load exclusively. It has been subject to several extensions and its methodology has been questioned.
View Article and Find Full Text PDFCalcif Tissue Int
January 2025
University of Pittsburgh, 3860 S. Water St., Pittsburgh, PA, 15203, USA.
Sport participation affects body composition and bone health, but the association between sport, body composition, and bone health in female athletes is complex. We compared areal bone mineral density (aBMD, DXA) and tibial volumetric bone mineral density (vBMD), geometry, microarchitecture, and estimated strength (HR-pQCT) in cross-country runners (n = 22), gymnasts (n = 23) and lacrosse players (n = 35), and investigated associations of total body lean mass (TBLM), team, and their interaction with tibial bone outcomes. Total body (TB), total hip (TH), femoral neck (FN), and lumbar spine (LS) aBMD were higher in gymnasts than runners (p < 0.
View Article and Find Full Text PDFSci Rep
January 2025
School of Fashion and Textiles, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong, China.
This study presents an advanced dynamic finite element (FE) model of multiple components of the breast to examine the biomechanical impact of different types of physical activities and activity intensity on the breast tissues. Using 4D scanning and motion capture technologies, dynamic data are collected during different activities. The accuracy of the FE model is verified based on relative mean absolute error (RMAE), and optimal material parameters are identified by using a validated stepwise grid search method.
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