Objective: To assess the relationship between sport motivation and intentions to report concussion symptoms among young adult athletes.
Design: Cross-sectional study (level of evidence: 3).
Subjects: One thousand three hundred five young adult athletes of various sports and levels of competitiveness from the Survey Sampling International panel.
Methods: Data were collected through an online survey. Ordinary least squares regression was used to examine the relationship between motivation and reporting intentions controlling for competitiveness and perceived risk of injury.
Results: Athletes who play their sport for self-regulated (autonomous) reasons have higher intentions to seek care for concussion-like symptoms, whereas those who play to achieve gains external to the sport or avoid punishment (controlled motivation) have lower intentions. A one-point increase in autonomous motivation was associated with an 11.5-point increase in reporting intention (t = 6.629, P < 0.001), whereas a one-point increase in controlled motivation was associated with an 8.1-point decrease in reporting intention (t = -4.562, P < 0.001). Betas from the model suggested that autonomous motivation had a stronger effect than controlled motivation (0.226 vs -0.163).
Conclusions: Innovation in care, concussion education, and cultivation of team culture supportive of autonomous motivation could increase concussion reporting. Measuring sport motivation may reveal which athletes require more proactive attention to ensure symptoms are not concealed. Furthermore, messages to reinforce autonomous motivation may increase willingness to report.
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http://dx.doi.org/10.1097/JSM.0000000000000804 | DOI Listing |
Cureus
December 2024
Department of Pediatrics, Maharaja Suheldev Autonomous State Medical College, Bahraich, IND.
Introduction: Relactation is the process of re-establishing breastfeeding after stopping or after a period of little breastfeeding. The study aimed to assess the Relactation Supportive Program (RSP)'s efficacy in sustaining breastfeeding and to determine the impact of RSP on breastfeeding initiation, timing, and correlation with the lactation gap.
Methods: A prospective observational study was done with 60 infant-mother dyads, aged seven days to 14 weeks who stopped breastfeeding for 6-28 days or never breastfed.
Intensive Crit Care Nurs
January 2025
Department of Psychosomatic Medicine and Psychotherapy, Professorship for Spiritual Care and Psychosomatic Health, University Hospital Rechts der Isar, Technical University of Munich, Kaulbachstraße 22a, Munich 80539, Germany.
Objective: In the wake of the COVID-19 pandemic, a significant number of critical care nurses have left their positions, citing overload, burnout, and moral distress. This scoping review is not just a theoretical exploration but a timely and crucial investigation into the aspects and structures of critical care nursing that can make the job fulfilling and appealing, thereby promoting intrinsic motivation and staff retention.
Methodology: A scoping review of studies reporting on factors that allow critical care nurses to fall back on their intrinsic job motivation.
Plants (Basel)
December 2024
Xinjiang Key Laboratory for Ecological Adaptation and Evolution of Extreme Environment Biology, College of Life Sciences, Xinjiang Agricultural University, Urumqi 830052, China.
Plant plasma membrane (PM) H-ATPase functions as a proton-motive force by exporting cellular protons to establish a transmembrane chemical gradient of H ions and an accompanying electrical gradient. These gradients are crucial for plant growth and development and for plant responses to abiotic and biotic stresses. In this study, a comprehensive identification of the PM H-ATPase gene family was conducted across four cotton species.
View Article and Find Full Text PDFEntropy (Basel)
December 2024
Department of Machine Learning and Neural Computing, Donders Institute for Brain, Cognition and Behaviour, Radboud University, 6500HB Nijmegen, The Netherlands.
Learning is a fundamental property of intelligent systems, observed across biological organisms and engineered systems. While modern intelligent systems typically rely on gradient descent for learning, the need for exact gradients and complex information flow makes its implementation in biological and neuromorphic systems challenging. This has motivated the exploration of alternative learning mechanisms that can operate locally and do not rely on exact gradients.
View Article and Find Full Text PDFEntropy (Basel)
December 2024
Department of Mathematics, Faculty of Science, Assiut University, Assiut 71516, Egypt.
Many existing control techniques proposed in the literature tend to overlook faults and physical limitations in the systems, which significantly restricts their applicability to practical, real-world systems. Consequently, there is an urgent necessity to advance the control and synchronization of such systems in real-world scenarios, specifically when faced with the challenges posed by faults and physical limitations in their control actuators. Motivated by this, our study unveils an innovative control approach that combines a neural network-based sliding mode algorithm with fuzzy logic systems to handle nonlinear systems.
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