OBJECTIVE: To investigate the level of agreement of the behavioural mapping method with an accelerometer to measure physical activity of hospitalized patients. DESIGN: A prospective single-centre observational study. SETTING: A university medical centre in the Netherlands. SUBJECTS: Patients admitted to the hospital. MAIN MEASURES: Physical activity of participants was measured for one day from 9 AM to 4 PM with the behavioural mapping method and an accelerometer simultaneously. The level of agreement between the percentages spent lying, sitting and moving from both measures was evaluated using the Bland-Altman method and by calculating Intraclass Correlation Coefficients. RESULTS: In total, 30 patients were included. Mean (±SD) age was 63.0 (16.8) years and the majority of patients were men (n = 18). The mean percentage of time (SD) spent lying was 47.2 (23.3) and 49.7 (29.8); sitting 42.6 (20.5) and 40.0 (26.2); and active 10.2 (6.1) and 10.3 (8.3) according to the accelerometer and observations, respectively. The Intraclass Correlation Coefficient and mean difference (SD) between the two measures were 0.852 and -2.56 (19.33) for lying; 0.836 and 2.60 (17.72) for sitting; and 0.782 and -0.065 (6.23) for moving. The mean difference between the two measures is small (⩽2.6%) for all three physical activity levels. On patient level, the variation between both measures is large with differences above and below the mean of ⩾20% being common. CONCLUSION: The overall level of agreement between the behavioural mapping method and an accelerometer to identify the physical activity levels 'lying', 'sitting' and 'moving' of hospitalized patients is reasonable.
I remember the last conversations my former colleague José and I had one year ago. At that time, we were working in a small art gallery owned and controlled by a private company. We were placed in different positions, but both of us felt trapped and enslaved by the system. José went to India many times to learn wisdom from the wise religious thinkers. After returning, he quit smoking and became a vegetarian. He now lives at the border between two small European countries.
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Purpose: In Amsterdam – the Netherlands – we know that children living in low income households have a lower health status and report lower physical activity levels than their peers in middle- or high-income households. Seven primary schools located in neighborhoods with a low social-economic status are currently developing their own active school using the ‘Creating Active Schools Framework’. This study was conducted to assess the current physical activity and sedentary behavior patterns during and after school of the pupils in these seven primary schools.Methods: In this cross-sectional study, we collect data in seven schools located within an Amsterdam neighborhood with a low social economic status score. Within each school, 4 classes are eligible for participation. Children wear an accelerometer from Monday morning until Friday afternoon to assess physical activity levels. Parents of participating children are asked to complete a questionnaire on baseline characteristics, wellbeing and out of school physical activity behaviors. The mean sedentary time (ST), low physical activity (LPA) time and Moderate to Vigorous physical activity (MVPA) time will be calculated. The association between the outcomes of the accelerometer data and gender and health related outcomes reported by parents will be assessed.Results: The data will be collected between March and May 2023. We will present the average LPA and MVPA during and after school time. The duration of the ST bouts during and after schooltime. And associations between ST, LPA and MVPA and gender and health related outcomes.Conclusions: The results of this study will be used to support local school teams in the development and implementation of local action plans towards a school day that involves less sitting and more physical activity.
Movebite aims to combat the issue of sedentary behavior prevalent among office workers. A recent report of the Nederlandse Sportraad reveal a concerning trend of increased sitting time among Dutch employees, leading to a myriad of musculoskeletal discomforts and significant health costs for employers due to increased sick leave. Recognizing the critical importance of addressing prolonged sitting in the workplace, Movebite has developed an innovative concept leveraging cutting-edge technology to provide a solution. The Movebite app seamlessly integrates into workplace platforms such as Microsoft Teams and Slack, offering a user-friendly interface to incorporate movement into their daily routines. Through scalable AI coaching and real-time movement feedback, Movebite assists individuals in scheduling and implementing active micro-breaks throughout the workday, thereby mitigating the adverse effects of sedentary behavior. In collaboration with the Avans research group Equal Chance on Healthy Choices, Movebite conducts user-centered testing to refine its offerings and ensure maximum efficacy. This includes testing initiatives at sports events, where the diverse crowd provides invaluable feedback to fine-tune the app's features and user experience. The testing process encompasses both quantitative and qualitative approaches based on the Health Belief Model. Through digital questionnaires, Movebite aims to gauge users' perceptions of sitting as a health threat and the potential benefits of using the app to alleviate associated risks. Additionally, semi-structured interviews delve deeper into user experiences, providing qualitative insights into the app's usability, look, and feel. By this, Movebite aims to not only understand the factors influencing adoption but also to tailor its interventions effectively. Ultimately, the goal is to create an environment encouraging individuals to embrace physical activity in small, manageable increments, thereby fostering long-term engagement promoting overall well-being.Through continuous innovation and collaboration with research partners, Movebite remains committed to empowering individuals to lead healthier, more active lifestyles, one micro-break at a time.
