Objectives: This study proposes an extension of a widely used test evaluating fundamental movement skills proficiency to an adolescent population, with a specific emphasis on validity and reliability for this older age group.
Design: Cross-sectional observational study.
Methods: A total of 844 participants (n=456 male, 12.03±0.49) participated in this study. The 12 fundamental movement skills of the TGMD-2 were assessed. Inter-rater reliability was examined to ensure a minimum of 95% consistency between coders. Confirmatory factor analysis was undertaken with a one-factor model (all 12 skills) and two-factor model (6 locomotor skills and 6 object-control skills) as proposed by Ulrich et al. (2000). The model fit was examined using χ, TLI, CFI and RMSEA. Test-retest reliability was carried out with a subsample of 35 participants.
Results: The test-retest reliability reached Intraclass Correlation Coefficient of 0.78 (locomotor), 0.76 (object related) and 0.91 (gross motor skill proficiency). The confirmatory factor analysis did not display a good fit for either the one-factor or two-factor model due to a really low contribution of several skills. A reduction in the number of skills to just seven (run, gallop, hop, horizontal jump, bounce, kick and roll) revealed an overall good fit by TLI, CFI and RMSEA measures.
Conclusions: The proposed new model offers the possibility of longitudinal studies to track the maturation of fundamental movement skills across the child and adolescent spectrum, while also giving researchers a valid assessment to tool to evaluate adolescent fundamental movement skills proficiency level.
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http://dx.doi.org/10.1016/j.jsams.2016.09.013 | DOI Listing |
PLoS One
January 2025
Department of Electrical and Computer Engineering, University of Maryland, College Park, MD, United States of America.
Complex systems, such as in brains, markets, and societies, exhibit internal dynamics influenced by external factors. Disentangling delayed external effects from internal dynamics within these systems is often difficult. We propose using a Vector Autoregressive model with eXogenous input (VARX) to capture delayed interactions between internal and external variables.
View Article and Find Full Text PDFJ Physiol
January 2025
Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Motor cortical high-gamma oscillations (60-90 Hz) occur at movement onset and are spatially focused over the contralateral primary motor cortex. Although high-gamma oscillations are widely recognized for their significance in human motor control, their precise function on a cortical level remains elusive. Importantly, their relevance in human stroke pathophysiology is unknown.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Faculty of Behavioural and Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam, Netherlands.
Background: To support informal caregivers of persons with dementia (PwD), it is fundamental to understand how objective and subjective indicators of care burden are interrelated. This study used psychometric network analyses to explore care burden indicators and extend current models of care in informal caregivers of PwDs.
Methods: Baseline data from an intervention study of 170 informal caregivers of community-dwelling PwDs was used.
Alzheimers Dement
December 2024
University of Minnesota, Minneapolis, MN, USA.
Background: Across a broad range of physical and cognitive outcomes in gerontology and geriatric practice, it is fundamentally important to establish systems for clinical decision-making. Current technological solutions include sensors for monitoring movement activity, however many of these methods are complex, invasive, and dependent on factors such as compliance, context, and idyllic conditions. An alternative approach to monitoring is through continuously active, noninvasive radiofrequency (NRF) sensors.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Helen Wills Neuroscience Institute, University of California, Berkeley, CA, USA.
"Dual Perspectives" integrates multiple MRI scans, creating a nuanced synthesis of grey matter and diffusion-based regional connections. This rendering holds particular significance in the realm of Alzheimer's and dementia research by offering a comprehensive examination of data crucial for understanding these complex neurodegenerative conditions. The inclusion of grey matter provides a detailed insight into the structural composition of the brain.
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