Objective: To evaluate the implementation of a multicomponent lifestyle intervention at two different worksites. Methods: Data on eight process components were collected by means of questionnaires and interviews. Data on the effectiveness were collected using questionnaires. Results: The program was implemented partly as planned, and 84.0% (max 25) and 85.7% (max 14) of all planned interventions were delivered at the university and hospital, respectively. Employees showed high reach (96.6%) and overall participation (75.1%) but moderate overall satisfaction rates (6.8 ± 1.1). Significant intervention effects were found for days of fruit consumption (β = 0.44 days/week, 95% CI: 0.02 to 0.85) in favor of the intervention group. Conclusions: The study showed successful reach, dose, and maintenance but moderate fidelity and satisfaction. Mainly relatively simple and easily implemented interventions were chosen, which were effective only in improving employees’ days of fruit consumption.
BACKGROUND: People with intellectual disabilities (ID) experience more health problems and have different lifestyle change needs, compared with the general population.AIMS: To improve lifestyle change interventions for people with ID, this review examined how behaviour change techniques (BCTs) were applied in interventions aimed at physical activity, nutrition or physical activity and nutrition, and described their quality.METHODS AND PROCEDURES: After a broad search and detailed selection process, 45 studies were included in the review. For coding BCTs, the CALO-RE taxonomy was used. To assess the quality of the interventions, the Physiotherapy Evidence Database (PEDro) scale was used. Extracted data included general study characteristics and intervention characteristics.OUTCOMES AND RESULTS: All interventions used BCTs, although theory-driven BCTs were rarely used. The most frequently used BCTs were 'provide information on consequences of behaviour in general' and 'plan social support/social change'. Most studies were of low quality and a theoretical framework was often missing.CONCLUSION AND IMPLICATIONS: This review shows that BCTs are frequently applied in lifestyle change interventions. To further improve effectiveness, these lifestyle change interventions could benefit from using a theoretical framework, a detailed intervention description and an appropriate and reliable intervention design which is tailored to people with ID.
Background A healthy lifestyle is beneficial for everyone, including students and employees of universities of applied sciences (UAS). Although these groups experience high stress-levels and spent many hours sedentary, only few lifestyle interventions focus on these target groups that potentially could improve their well-being, and physical and mental health. Objective This study explores the lifestyle of students and employees at the Hague UAS using a narrative research method. The study aims to create personas, separate for students and employees, to inform future tailored lifestyle interventions. Methods Semi-structured interviews were conducted with 13 employees (26+ years old; 4 males, 9 females), and 12 students (18-35 years old; 4 males, 6 females, 2 identified as other). Via the storytelling technique[1], participants were asked to describe past situations on lifestyle-related decisions. Two researchers independently extracted stories from the interviews and linked a theme to each story. Analysis involved a cyclic process of constant comparison. The themes were grouped in main themes to create a story web. Thereafter, personas were created for both students and employees. Results Although we are in the midst of analyzing, preliminary distinction can be made between several groups of people. For example, one group tends to be underweight and struggles to maintain a healthy lifestyle. A second group deals with allergies, food intolerances, physical limitations or chronical illnesses. A third group incorporated health in their lifestyle. And a fourth group does not care, has other priorities or has insufficient knowledge about a healthy lifestyle. Conclusion Lifestyle is personal and, therefore, a one-size-fits-all approach for all students and employees is inadequate. In more detail, some people will benefit from social interventions, e.g. setting up a sports competition, others from physical interventions, e.g. nudging the stairs. Our next step is developing tailored lifestyle interventions in co-creation with students and employees.
Receiving the first “Rijbewijs” is always an exciting moment for any teenager, but, this also comes with considerable risks. In the Netherlands, the fatality rate of young novice drivers is five times higher than that of drivers between the ages of 30 and 59 years. These risks are mainly because of age-related factors and lack of experience which manifests in inadequate higher-order skills required for hazard perception and successful interventions to react to risks on the road. Although risk assessment and driving attitude is included in the drivers’ training and examination process, the accident statistics show that it only has limited influence on the development factors such as attitudes, motivations, lifestyles, self-assessment and risk acceptance that play a significant role in post-licensing driving. This negatively impacts traffic safety. “How could novice drivers receive critical feedback on their driving behaviour and traffic safety? ” is, therefore, an important question. Due to major advancements in domains such as ICT, sensors, big data, and Artificial Intelligence (AI), in-vehicle data is being extensively used for monitoring driver behaviour, driving style identification and driver modelling. However, use of such techniques in pre-license driver training and assessment has not been extensively explored. EIDETIC aims at developing a novel approach by fusing multiple data sources such as in-vehicle sensors/data (to trace the vehicle trajectory), eye-tracking glasses (to monitor viewing behaviour) and cameras (to monitor the surroundings) for providing quantifiable and understandable feedback to novice drivers. Furthermore, this new knowledge could also support driving instructors and examiners in ensuring safe drivers. This project will also generate necessary knowledge that would serve as a foundation for facilitating the transition to the training and assessment for drivers of automated vehicles.
Wheelchair users with a spinal cord injury (SCI) or amputation generally lead an inactive lifestyle, associated with reduced fitness and health. Digital interventions and sport and lifestyle applications (E-platforms) may be helpful in achieving a healthy lifestyle. Despite the potential positive effects of E-platforms in the general population, no studies are known investigating the effects for wheelchair users and existing E-platforms can not be used to the same extent and in the same manner by this population due to differences in physiology, body composition, exercise forms and responses, and risk injury. It is, therefore, our aim to adapt an existing E-platform (Virtuagym) within this project by using existing data collections and new data to be collected within the project. To reach this aim we intend to make several relevant databases from our network available for analysis, combine and reanalyze these existing databases to adapt the existing E-platform enabling wheelchair users to use it, evaluate and improve the use of the adapted E-platform, evaluate changes in healthy active lifestyle parameters, fitness, health and quality of life in users of the E-platform (both wheelchair users and general population) and identify determinants of these changes, identify factors affecting transitions from an inactive lifestyle, through an intermediate level, to an athlete level, comparing wheelchair users with the general population, and comparing Dutch with Brazilian individuals. The analysis of large datasets of exercise and fitness data from various types of individuals with and without disabilities, collected over the last years both in the Netherlands and Brazil, is an innovative and potentially fruitful approach. It is expected that the comparison of e.g. wheelchair users in Amsterdam vs. Sao Paulo or recreative athletes vs. elite athletes provides new insight in the factors determining a healthy and active lifestyle.
Wheelchair users with a spinal cord injury (SCI) or amputation generally lead an inactive lifestyle, associated with reduced fitness and health. Digital interventions and sport and lifestyle applications (E-platforms) may be helpful in achieving a healthy lifestyle. Despite the potential positive effects of E-platforms in the general population, no studies are known investigating the effects for wheelchair users and existing E-platforms can not be used to the same extent and in the same manner by this population due to differences in physiology, body composition, exercise forms and responses, and risk injury. It is, therefore, our aim to adapt an existing E-platform (Virtuagym) within this project by using existing data collections and new data to be collected within the project. To reach this aim we intend to make several relevant databases from our network available for analysis, combine and reanalyze these existing databases to adapt the existing E-platform enabling wheelchair users to use it, evaluate and improve the use of the adapted E-platform, evaluate changes in healthy active lifestyle parameters, fitness, health and quality of life in users of the E-platform (both wheelchair users and general population) and identify determinants of these changes, identify factors affecting transitions from an inactive lifestyle, through an intermediate level, to an athlete level, comparing wheelchair users with the general population, and comparing Dutch with Brazilian individuals. The analysis of large datasets of exercise and fitness data from various types of individuals with and without disabilities, collected over the last years both in the Netherlands and Brazil, is an innovative and potentially fruitful approach. It is expected that the comparison of e.g. wheelchair users in Amsterdam vs. Sao Paulo or recreative athletes vs. elite athletes provides new insight in the factors determining a healthy and active lifestyle.
