Purpose: The purpose of the cross-sectional observational cohort study was to quantify movement patterns and neuromuscular impairments in Olympic Female Field Hockey utilizing a standardized movement-centered assessment model.
Methodology/sample: A sample of convenience was obtained from the active roster of the 2016 USA Women's Olympic Field Hockey team. Inclusion and exclusion criteria were applied and resulted in nine participants. The study was conducted over 1 session in which each athlete was tested using the SFMA™, Y Balance Test Lower Quarter (YBT-LQ™) FMS™, and closed chain dorsiflexion range of motion (CKCDFROM). Injury risk assignment was generated based on an evidenced based algorithm. Descriptive statistics and frequency distributions were applied to the subjects.
Results: Injury risk stratification was applied to the subjects with 44% being at moderate risk and 56% at slight risk. 100% of the athletes exhibited spinal extension deficits and 89% of the athletes displayed a dysfunctional single leg stance pattern. Regional impairments included the following observations: anterior hip mobility deficits (5/9 subjects) and rolling motor control dysfunction (7/9 subjects).
Implications: A battery of movement centered tests combined with an evidenced based algorithm can provide meaningful information informing future programming for the elite female athlete. Considering regional interdependence applications, impairments at the hip and thoracic spine, combined with poor quality of movement in extension could create undue stress in remote regions of the spine and lower quarter, thus contributing to injury risk for the spine and lower quarter.
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http://dx.doi.org/10.1016/j.jbmt.2020.12.037 | DOI Listing |
BMJ Ment Health
January 2025
Department of Biomedical Data Sciences, Leiden University Medical Centre, Leiden, The Netherlands.
Background: Traumatic brain injury (TBI) is associated with an increased risk of major depressive disorder (MDD) and post-traumatic stress disorder (PTSD). We aimed to identify predictors and develop models for the prediction of depression and PTSD symptoms at 6 months post-TBI.
Methods: We analysed data from the Collaborative European NeuroTrauma Effectiveness Research in Traumatic Brain Injury study.
Otolaryngol Head Neck Surg
January 2025
Department of Otolaryngology-Head and Neck Surgery, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Objective: Facial trauma volume is difficult to predict accurately. We aim to understand the capacity of climate and regional events to predict daily facial trauma volume. This can provide epidemiologic understanding and subsequently tailor workforce distribution and scheduling.
View Article and Find Full Text PDFSports Med Open
January 2025
Department of Health, Nutrition, and Food Sciences, Florida State University, Tallahassee, FL, USA.
Background: Little is known about the lower extremity muscle co-contraction patterns during sprinting and its relation to running velocity (i.e., performance).
View Article and Find Full Text PDFAm J Sports Med
January 2025
Commons Clinic, Long Beach, California, USA.
Background: Orthopaedic surgeons play a critical role in ensuring the health and safety of professional athletes. Despite the privilege of treating elite athletes, there exists great financial exposure to individual physicians in the event of a malpractice lawsuit.
Hypothesis/purpose: The purpose of this study was to evaluate and model malpractice liability exposure of the sports medicine surgeon caring for athletes in the National Football League (NFL), Major League Baseball (MLB), and National Hockey League (NHL) with respect to player position and additional supplemental malpractice insurance needs.
Children (Basel)
December 2024
Department of Physical Activity and Sport, Faculty of Sport Sciences, CEIR Campus Mare Nostrum (CMN), University of Murcia, 30720 Murcia, Spain.
Background: Low back pain is one of the most common musculoskeletal complaints in team sports. A screening test can help understand why injuries occur and predict who is at risk for non-contact low back pain. The objectives of the research were (1) to create models using logistic regression analysis of limited lower-extremity ranges of motion to prospectively identify potential factors for in-season non-contact non-contact low back pain and (2) to determine a training threshold (cut-off) for the identified factors in inline hockey players.
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