Objective This study aims to identify determinants of dietary behaviour in wheelchair users with spinal cord injury or lower limb amputation, from the perspectives of both wheelchair users and rehabilitation professionals. The findings should contribute to the field of health promotion programs for wheelchair users. Methods Five focus groups were held with wheelchair users (n = 25), and two with rehabilitation professionals (n = 11). A thematic approach was used for data analysis in which the determinants were categorized using an integrated International Classification of Functioning, Disability and Health and Attitude, Social influence and self-Efficacy model. Results Reported personal factors influencing dietary behaviour in wheelchair users were knowledge, boredom, fatigue, stage of life, habits, appetite, self-control, multiple lifestyle problems, intrinsic motivation, goal setting, monitoring, risk perception, positive experiences, suffering, action planning, health condition, function impairments, attitude and self-efficacy. Reported environmental factors influencing dietary behaviour in wheelchair users were unadjusted kitchens, monitoring difficulties, eating out, costs, unfavourable food supply, nutrition education/counselling, access to simple healthy recipes, eating together, cooking for others, and awareness and support of family and friends. Conclusions Important modifiable determinants of dietary behaviour in wheelchair users that might be influenced in lifestyle interventions are knowledge, fatigue, habits, self-control, intrinsic motivation, risk perception, attitude and self-efficacy. It is recommended to involve relatives, since they appear to significantly influence dietary behaviour.
Background: In face-to-face therapy for eating disorders, therapeutic alliance (TA) is an important predictor of symptomreduction and treatment completion. To date, however, little is known about TA during web-based cognitive behavioral therapy(web-CBT) and its association with symptom reduction, treatment completion, and the perspectives of patients versus therapists.Objective: This study aimed to investigate TA ratings measured at interim and after treatment, separately for patients andtherapists; the degree of agreement between therapists and patients (treatment completers and noncompleters) for TA ratings;and associations between patient and therapist TA ratings and both eating disorder pathology and treatment completion.Methods: A secondary analysis was performed on randomized controlled trial data of a web-CBT intervention for eatingdisorders. Participants were 170 females with bulimia nervosa (n=33), binge eating disorder (n=68), or eating disorder nototherwise specified (n=69); the mean age was 39.6 (SD 11.5) years. TA was operationalized using the Helping AllianceQuestionnaire (HAQ). Paired t tests were conducted to assess the change in TA from interim to after treatment. Intraclasscorrelations were calculated to determine cross-informant agreement with regard to HAQ scores between patients and therapists.A total of 2 stepwise regressive procedures (at interim and after treatment) were used to examine which HAQ scores predictedeating disorder pathology and therapy completion.Results: For treatment completers (128/170, 75.3%), the HAQ-total scores and HAQ-Helpfulness scores for both patients andtherapists improved significantly from interim to post treatment. For noncompleters (42/170, 24.7%), all HAQ scores decreasedsignificantly. For all HAQ scales, the agreement between patients and therapists was poor. However, the agreement was slightlybetter after treatment than at interim. Higher patient scores on the helpfulness subscale of the HAQ at interim and after treatmentwere associated with less eating disorder psychopathology. A positive association was found between the HAQ-total patientscores at interim and treatment completion. Finally, posttreatment HAQ-total patient scores and posttreatment HAQ-Helpfulnessscores of therapists were positively associated with treatment completion.Conclusions: Our study showed that TA in web-CBT is predictive of eating disorder pathology and treatment completion. Ofparticular importance is patients’ confidence in their abilities as measured with the HAQ-Helpfulness subscale when predictingposttreatment eating disorder pathology and treatment completion.
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"A proportion of those with eating disorders have also experienced traumatic events and ongoing symptoms of PTSD such as re-experiencing of the trauma and nightmares. We implemented an innovative trauma intervention called Imagery Rescripting (ImRs) to explore whether for those undergoing inpatient treatment for an eating disorder (in an underweight phase), it would be possible to treat the various trauma-related symptoms as well as the eating problems. Since this has not been investigated before, we asked the participants in this study to recount their experiences. Twelve participants who were underweight, reported a past history of trauma and were in an inpatient eating disordertreatment program participated in ImRs therapy intervention. One of these participant did not engage in the ImRs therapy because she discontinued the inpatient ED treatment. Analysis of interviews with these participants found that -although they were reluctant before the start of the treatment- the ImRs treatment during their inpatient admission had given them hope again. They added that it was important to have support from group members, sociotherapists and therapists. They shared a number of ways that the ImRs treatment could be adapted to people with eating disorders. Their experiences indicated that given these factors it was possible to treat PTSD during an underweight phase. This is important: until now, treatment for eating disorders has not specifically been trauma-focused and these tips have scope to improve the ImRs intervention and eating disorder treatment more broadly in the future."
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Creating and testing the first Brand Segmentation Model in Augmented Reality using Microsoft Hololens. Sanoma together with SAMR launched an online brand segmentation tool based on large scale research, The brand model uses several brand values divided over three axes. However they cannot be displayed clearly in a 2D model. The space of BSR Quality Planner can be seen as a 3-dimensional meaningful space that is defined by the terms used to typify the brands. The third axis concerns a behaviour-based dimension: from ‘quirky behaviour’ to ‘standardadjusted behaviour’ (respectful, tolerant, solidarity). ‘Virtual/augmented reality’ does make it possible to clearly display (and experience) 3D. The Academy for Digital Entertainment (ADE) of Breda University of Applied Sciences has created the BSR Quality Planner in Virtual Reality – as a hologram. It’s the world’s first segmentation model in AR. Breda University of Applied Sciences (professorship Digital Media Concepts) has deployed hologram technology in order to use and demonstrate the planning tool in 3D. The Microsoft HoloLens can be used to experience the model in 3D while the user still sees the actual surroundings (unlike VR, with AR the space in which the user is active remains visible). The HoloLens is wireless, so the user can easily walk around the hologram. The device is operated using finger gestures, eye movements or voice commands. On a computer screen, other people who are present can watch along with the user. Research showed the added value of the AR model.Partners:Sanoma MediaMarketResponse (SAMR)
Dutch Cycling Intelligence (DCI) embodies all Dutch cycling knowledge to enhances customer-oriented cycling policy. Based on the data-driven cycle policy enhancement tools and knowledge of the Breda University of Applied Sciences, DCI is the next step in creating a learning community between road authorities, consultants, cycling industry, and knowledge institutes with their students. The DCI consists of three pilars:- Connecting- Accelerating knowledge- Developing knowledgeConnecting There are many stakeholders and specialists in the cycling domain. Specialists with additional knowledge about socio-cultural impacts, geo-special knowledge, and technical traffic solutions. All of these specialists need each other to ensure a perfect balance between the (electric) bicycle, the cyclist and the cycle path in its environment. DCI connects and brings together all kind of different specialists.Accelerating knowledge Many bicycle innovations take place in so-called living labs. Within the living lab, the triple helix collaboration between road authorities the industry and knowledge institutes is key. Being actively involved in state-of-the-art innovations creates an inspiring work and learning environment for students and staff. A practical example of a successful living lab is the cycle superhighway F261 between Tilburg and Waalwijk, where BUAS tested new cycle route signage. Next, the Cycling Lab F58 is created, where the road authorities Breda and Tilburg opened up physical cycling infrastructure for entrepreneurs in the bicycle domain and knowledge institutes to develop e-cycling innovation. The living labs are test environments where pilots can be carried out in practice and an excellent environment for students to conduct scientifically applied research.Developing knowledge Ultimately, data and information must be translated into knowledge. With a team of specialists and partners Breda University of applied sciences developed knowledge and tools to monitor and evaluate cycling behavior. By participating in (inter)national research programs BUAS has become one of the frontrunners in data-driven cycle policy enhancement. In close collaboration with road authorities, knowledge institutes as well as consultants, new insights and answers are developed in an international context. By an active knowledge contribution to the network of the Dutch Cycling Embassy, BUAS aims to strengthen its position and add to the global sustainability challenges. Partners: Province Noord-Brabant, Province Utrecht, Vervoerregio Amsterdam, Dutch Cycling Embassy, Tour de Force, University of Amsterdam, Technical University Eindhoven, Technical University Delft, Utrecht University, DTV Capacity building, Dat.mobility, Goudappel Coffeng, Argaleo, Stratopo, Move.Mobility Clients:Province Noord-Brabant, Province Utrecht, Province Zuid-Holland, Tilburg, Breda, Tour de Force
