Objectives: This study aimed to investigate the track and field elite athletes' coaches' perspectives and experiences regarding their athletes' osteopathic treatments to contribute to the development of integrated management models based on their expectations and experiences.
Methods: Semi-structured interviews were used to collect data from Italian elite athletes' coaches enrolled in the study. An inductive analysis of the interviews was conducted using a descriptive phenomenological methodology. Data saturation was assessed in parallel with the data gathering to determine the sample size. Two additional interviews verified data saturation.
Results: Data saturation was reached with 11 participants (female = 3; male = 9). Participants' ages ranged from 28 to 70 years old. The analysis showed 1 overarching theme, "Shared decision-making on the track promotes performance and recovery," 4 THEMES: (1) "Elite athletes' coaches work in a highly specialized multidisciplinary team characterized by mutual trust and oriented towards shared decision-making" (2) "Osteopathic treatment is perceived to be effective in managing injuries but it is recognized that its main purpose is to prevent them" (3) "Continuous therapeutic relationships addressing body awareness and psychosocial factors improve elite athletes' performance" and (4) "Field-specific assessments performed by the osteopath inform training plan and recovery strategies", and 16 categories.
Conclusion: TF athletes' coaches aim to work in a highly specialized multidisciplinary team characterized by mutual trust and oriented towards shared decision-making to manage and prevent injuries and enhance performance.
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http://dx.doi.org/10.1016/j.jbmt.2024.11.018 | DOI Listing |
Clin Chem Lab Med
January 2025
Deparment of Laboratory Medicine, 16268 La Paz University Hospital, Madrid, Spain.
Objectives: Cardiac biomarkers are useful for the diagnostic and prognostic assessment of myocardial injury (MI) and heart failure. By measuring specific proteins released into the bloodstream during heart stress or damage, these biomarkers help clinicians detect the presence and extent of heart injury and tailor appropriate treatment plans. This study aims to provide robust biological variation (BV) data for cardiac biomarkers in athletes, specifically focusing on those applied to detect or exclude MI, such as myoglobin, creatine kinase-myocardial band (CK-MB) and cardiac troponins (cTn), and those related to heart failure and cardiac dysfunction, brain natriuretic peptide (BNP) and N-terminal brain natriuretic pro-peptide (NT-proBNP).
View Article and Find Full Text PDFEur J Sport Sci
February 2025
Department of Sport and Health Sciences and Social Work, Oxford Brookes University, Oxford, UK.
Some technical limitations to using the eccentric mode to measure peak eccentric strength of the hamstrings (PTH) were raised. PTH also has limited validity to predict performance or injury risk factor. Therefore, our aim was to compare PTH and other isokinetic variables tested in the eccentric and passive modes.
View Article and Find Full Text PDFPsychophysiology
January 2025
School of Psychology, Beijing Sport University, Beijing, China.
Previous studies demonstrated that sensorimotor training enhances interoceptive abilities. Athletes are highly engaged in performance-driven physical training and often incorporate-to varying degrees-sensorimotor training into their routines. In this study, we investigated the role of individual differences in interoception by comparing professional athletes of different performance levels and both sexes with recreational athletes and controls, applying a three-dimensional model of interoception.
View Article and Find Full Text PDFSci Rep
January 2025
College of Physical Education and Health Sciences, Zhejiang Normal University, Jinhua, 321004, China.
Athlete engagement is influenced by several factors, including cohesion, passion and mental toughness. Machine learning methods are frequently employed to construct predictive models as a result of their high efficiency. In order to comprehend the effects of cohesion, passion and mental toughness on athlete engagement, this study utilizes the relevant methods of machine learning to construct a prediction model, so as to find the intrinsic connection between them.
View Article and Find Full Text PDFSci Rep
January 2025
La Trobe Sport & Exercise Medicine Research Centre, School of Allied Health, Human Services and Sport, La Trobe University, Melbourne, VIC, Australia.
Few studies have explored hip morphology and cartilage composition in female athletes or the impact of asymmetric repetitive loading, such as occurs during softball pitching. The current cross-sectional study assessed bilateral bony hip morphology on computed tomography imaging in collegiate-level softball pitchers ('Pitch1', n = 25) and cross-country runners ('Run', n = 13). Magnetic resonance imaging was used to assess cartilage relaxation times in a second cohort of pitchers ('Pitch2', n = 10) and non-athletic controls ('Con', n = 4).
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