The musculoskeletal and cognitive effects of under-desk cycling compared to sitting for office workers

Do You Want to Increase Physical Activity in Adolescents? A School-Based Physical Activity Program Could Be an Efficient Way

The aim of this study was to assess the effects of a classroom-based physical activity program, using bike desks, on academic and physical performance in adolescents. The Program to Enhance and Develop Active Lessons (PEDAL) was designed for this purpose, expecting an increase in students' physical activity without any decrease in academic performance. This intervention based on pedal or bike desks-stationary bikes that integrate with a desk workspace-was conducted with 55 high- school students who were randomly assigned to two groups: a PEDAL group (n = 28, 14.86 ± 0.65 years old, 46.4% girls) and a control group (n = 27, 15 ± 0.68 years old, 51.9% girls). Throughout the intervention, the PEDAL students pedaled 4 days a week for 10 weeks during their Spanish-language arts lessons. The comparisons between the PEDAL group and the control group, as well as the pre- and post-test results, were statistically analyzed to verify the students' physical activity (i.e., IPAQ-SF, heart rate monitors, polar OH1+), cardiorespiratory capacity (20 m shuttle run test), and academic performance (d2 test of attention and language proficiency test). Regarding the physical aspect, only the PEDAL group showed significant growth in their physical activity levels as compared to the pre-test data (p = 0.001), and they achieved higher results compared with the control group (p = 0.022) and less sedentary time than control students (p = 0.012). Concerning cardiorespiratory fitness, there were no post-test differences between the two groups (p = 0.697), probably because the physical activity performed with the bike desks was light-moderate. As far as academic performance is concerned, no significant post-test effects were discovered in either group on the levels of language competence (p = 0.48), attention (TOT, p = 0.432), and concentration (CON, p = 0.216). In conclusion, adolescents who move while learning, using bike desks, increase their light and moderate physical activity without any detriment to academic performance.

The Effects of Bike Desks in Formal Education Classroom-Based Physical Activity: A Systematic Review

A systematic review of the research conducted on classroom-based physical activity using bike desks, a school health prevention strategy. To our knowledge, this is the first systematic review of bike desks effects on formal education students. Articles from two databases, Web of Science and PubMed, were analyzed according to PRISMA. The quality of each study was analyzed. After the exclusion criteria, eight articles were fully assessed based on six criteria: (1) author and year, (2) setting and sample, (3) duration, (4) outcomes measurements, (5) instruments and (6) main results. The results show how the interventions are mainly in secondary education and university, and most of them are quantitative studies of short-term interventions. Physical activity is the most frequently variable assessed, using logs, questionnaires and objective methods such as accelerometry and heart rate monitoring. Based on all the studies, it is feasible to implement bike desks in the classroom during theoretical lessons. The weaknesses are related to small samples and the use of different instruments to measure. In conclusion, this systematic review compiles the current information about bike desks in order to inform teachers and administrators for the implementation of bike desk in their schools. They should consider bike desks’ strengths and weaknesses.

Active meetings on stationary bicycle: An intervention to promote health at work without impairing performance

Workers who experienced prolonged sitting have higher risk of mortality from all causes compared to non-sedentary workers. However, work can also be a health enhancement opportunity and it also can be designed to improve health and well-being. This research presents a novel intervention designed to reduce sedentary behavior in the workplace. Seven teams of employees (N = 30) conducted two meetings: one in a sitting position and one on a stationary bike. Repeated measures for heart rate, perceptions of stress, well-being, focus, attention and fatigue were collected before, during and after both meetings. Heart rate was significantly higher during active meeting. Results also indicated a significant effect of active meeting on stress. Well-being, focus and attention were similar during both meetings. Fatigue was perceived to be reduced in the hours following the active meeting. This suggests that active meetings can promote health without impairing performance which offers new perspectives for interventions.

A New Real-Time Pinch Detection Algorithm Based on Model Reference Kalman Prediction and SRMS for Electric Adjustable Desk

This paper presents a new algorithm based on model reference Kalman torque prediction algorithm combined with the sliding root mean square (SRMS). It is necessary to improve the accuracy and reliability of the pinch detection for avoiding collision with the height adjustable desk and accidents on users. Motors need to regulate their position and speed during the operation using different voltage by PWM (Pulse Width Modulation) to meet the requirement of position synchronization. It causes much noise and coupling information in the current sampling signal. Firstly, to analyze the working principle of an electric height adjustable desk control system, a system model is established with consideration of the DC (Direct Current) motor characteristics and the coupling of the system. Secondly, to precisely identify the load situation, a new model reference Kalman perdition method is proposed. The load torque signal is selected as a pinch state variable of the filter by comparing the current signal. Thirdly, to meet the need of the different loads of the electric table, the sliding root means square (SRMS) of the torque is proposed to be the criterion for threshold detection. Finally, to verify the effectiveness of the algorithm, the experiments are carried out in the actual system. Experimental results show that the algorithm proposed in this paper can detect the pinched state accurately under different load conditions.