The balance-scale task, proposed by Inhelder and Piaget, illustrates children understanding of weight-distance relationships. Piaget used the clinical interview method in order to investigate children's reasoning. Over the last five decades, Siegler's Rule-Assessment Approach has been used to explain children reasoning in the balance-scale task according to rules children would use to solve the task. However, this approach does not take into account some key perceptual properties of the task. This study evaluates whether different task demands would alter children's errors. Forty children (twenty children aged 4-5 years and twenty children aged 9-10 years) predicted the movement of both arms of 16 balance-scale problems administered online. Nine 4-5-year-olds produced non-plausible responses whereas none of the 9-10-year-olds provided non-plausible responses. These results seem to indicate a basic misunderstanding of the scale from some younger children, one that eludes traditional measures used with this task.
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http://dx.doi.org/10.3389/fpsyg.2021.702524 | DOI Listing |
J Clin Med
January 2025
Health, Physical Activity and Sports Technology (HEALTH-TECH), Department of General and Specific Didactics, Faculty of Education, University of Alicante, 03690 Alicante, Spain.
: Parkinson's disease (PD) is a neurodegenerative disorder that significantly impairs motor function, leading to mobility challenges and an increased risk of falls. Current assessment tools often inadequately measure the complexities of motor impairments associated with PD, highlighting the need for a reliable tool. This study introduces the Motor Assessment Timed Test (MATT), designed to assess functional mobility in PD patients.
View Article and Find Full Text PDFInt J Rehabil Res
October 2024
Department of Rehabilitation Medicine, Weill Cornell Medicine, New York.
Acute inpatient rehabilitation is crucial for improving mobility and balance for individuals with stroke. A potentially important factor in the recovery of mobility and balance is cognition. The purpose of this study was to determine the effect of cognition on mobility and balance in acute stroke rehabilitation.
View Article and Find Full Text PDFJ Orthop Sci
December 2024
The School of Clinical Medicine, Fujian Medical University, Fuzhou, Fujian, China; Department of Orthopaedic Surgery, Fuzhou Second Hospital, Fuzhou, Fujian, China.
Background: Hip fracture affects millions of persons and is associated with excess morbidity and mortality. More knowledge is needed to regard the prolonged effects of intensive exercise in relatively frail hip fracture patients. In this meta-analysis, we want to determine whether intensity strength training in patients after hip fracture is superior to general exercises in improving physical function.
View Article and Find Full Text PDFJ Neuroeng Rehabil
December 2024
Department of Neurology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, China.
Objective: Cognitive-motor dual-tasking training (CMDT) might improve limb function and motor performance in stroke patients. However, is there enough evidence to prove that it is more effective compared with conventional physical single-task training? This meta-analysis and Trial Sequential Analysis of randomized clinical trials (RCTs) aimed to evaluate the effectiveness of CMDT on balance and gait for treating hemiplegic stroke patients.
Methods: The databases were searched in PubMed, Web of Science, Ovid Database and The Cochrane Library, SinoMed database, Chinese National Knowledge Infrastructure (CNKI), Wan Fang database, and VIP database up to December 8, 2023.
EClinicalMedicine
December 2024
University Clinic for Nephrology and Hypertension, Diabetes and Endocrinology, Otto-von-Guericke University Magdeburg, Magdeburg, Germany.
Background: Fall(s) are a significant cause of morbidity and mortality especially amongst elderly with polyneuropathy and cognitive decline. Conventional fall risk assessment tools are prone to low predictive values and do not address specific vulnerabilities. This study seeks to advance the development of an innovative, engaging fall prediction tool for a high-risk cohort diagnosed with diabetes.
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