Background: Although active workstations, such as desk bikes, have proven to be beneficial for health, there is limited information regarding their effects on children's acute cognitive performance during self-paced exercise.
Methods: This study used a within-subjects, fully counterbalanced design with a sample of 38 preadolescent children (mean age = 12.50 y, SD = 0.62; 43% male), who performed cognitive tests while being seated or while cycling for 45 minutes with a 7-day interval. Effects of using a desk bike were evaluated on cognitive control: verbal and visuospatial working memory capacities were tested, and inhibition was assessed using a modified flanker task. In addition, subjective task experience was explored using self-report measures.
Results: Cognitive control performance was not degraded but also not improved with the short-term use of desk bikes. Because of the null effects, there is no direction and magnitude of the outcomes to discuss.
Conclusions: These findings suggest that schools can successfully implement desk bikes to increase physical activity and reduce sedentary time among children without compromising cognitive control processes necessary for academic achievement.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1123/jpah.2017-0437 | DOI Listing |
J Occup Environ Med
January 2025
Department of Public and Occupational Health, Amsterdam Public Health Research Institute, Amsterdam University Medical Center location Vrije Universiteit, Amsterdam, the Netherlands.
Objective: To evaluate the process of an online cognitive rehabilitation program aimed at supporting cancer survivors experiencing cognitive problems at work.
Methods: Cancer survivors (n = 279) were randomized to one of the intervention groups (i.e.
Psychol Rep
January 2025
School of Management, Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Individuals' involvement in reactive and proactive online aggression has garnered widespread concern from various societal sectors, marking it as a critical indicator of individual social development. The influencing factors that might exist for both reactive and proactive online aggression have been little explored. Understanding these could help us develop more effective intervention strategies, targeting individuals who exhibit both types of aggression.
View Article and Find Full Text PDFPLoS One
January 2025
Department of Nursing and Physiotherapy, Faculty of Medicine and Health Sciences, University of Alcalá, Alcalá de Henares, Spain.
Background: Motor imagery is the mental representation of a movement without physical execution. When motor imagery is performed to enhance motor learning and performance, participants must reach a temporal congruence between the imagined and actual movement execution. Identifying factors that can influence this capacity could enhance the effectiveness of motor imagery programs.
View Article and Find Full Text PDFTraffic Inj Prev
January 2025
National Key Laboratory of Human Factors Engineering, China Astronaut Research and Training Centre, Beijing, China.
Objective: Attention forms the foundation for the formation of situation awareness. Low situation awareness can lead to driving performance decline, which can be dangerous in driving. The goal of this study is to investigate how different types of pre-takeover tasks, involving cognitive, visual and physical resources engagement, as well as individual attentional function, affect driver's attention restoration in conditionally automated driving.
View Article and Find Full Text PDFJ Cogn Neurosci
January 2025
Queen's University, Kingston, Ontario, Canada.
Pupil responses are commonly used to provide insight into visual perception, autonomic control, cognition, and various brain disorders. However, making inferences from pupil data can be complicated by nonlinearities in pupil dynamics and variability within and across individuals, which challenge the assumptions of linearity or group-level homogeneity required for common analysis methods. In this study, we evaluated luminance evoked pupil dynamics in young healthy adults (n = 10, M:F = 5:5, ages 19-25 years) by identifying nonlinearities, variability, and conserved relationships across individuals to improve the ability to make inferences from pupil data.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!