Objectives: Decline in the performance of instrumental activities of daily living (IADL) and mobility may be preceded by symptoms the patient experiences, such as fatigue. The aim of this study is to investigate whether self-reported non-task-specific fatigue is a long-term risk factor for IADL-limitations and/or mobility performance in older adults after 10 years. Methods: A prospective study from two previously conducted cross-sectional studies with 10-year follow-up was conducted among 285 males and 249 females aged 40–79 years at baseline. Fatigue was measured by asking “Did you feel tired within the past 4 weeks?” (males) and “Do you feel tired?” (females). Self-reported IADLs were assessed at baseline and follow-up. Mobility was assessed by the 6-minute walk test. Gender-specific associations between fatigue and IADL-limitations and mobility were estimated by multivariable logistic and linear regression models. Results: A total of 18.6% of males and 28.1% of females were fatigued. After adjustment, the odds ratio for fatigued versus non-fatigued males affected by IADL-limitations was 3.3 (P=0.023). In females, the association was weaker and not statistically significant, with odds ratio being 1.7 (P=0.154). Fatigued males walked 39.1 m shorter distance than those non-fatigued (P=0.048). For fatigued females, the distance was 17.5 m shorter compared to those non-fatigued (P=0.479). Conclusion: Our data suggest that self-reported fatigue may be a long-term risk factor for IADL-limitations and mobility performance in middle-aged and elderly males but possibly not in females.
Offering physical activities matching with the preferences of residents in long-term care facilities could increase compliance and contribute to client-centered care. A measure to investigate meaningful activities by using a photo-interview has been developed (“MIBBO”). In two pilot studies including 133 residents living on different wards in long-term care facilities, feasibility, most chosen activities, and consistency of preferences were investigated. It was possible to conduct the MIBBO on average in 30 min with the majority (86.4%) of residents. The most frequently chosen activities were: gymnastics and orchestra (each 28%), preparing a meal (31%), walking (outside, 33%), watering plants (38%), and feeding pets (40%). In a retest one week after the initial interview 69.4% agreement of chosen activities was seen. The MIBBO seems a promising measure to help health care professionals in identifying residents’ preferred activities. Future research should focus on the implementation of the tailored activity plan, incorporating it into the daily routine.
The COVID-19 lockdowns showed that working from home and conducting meetings online can change mobility patterns and needs substantially. This global pandemic may have also substantially changed mobility patterns on the long-term and therefore, also the need of electric vehicle charging infrastructure. Charging need dropped significantly but also changed the distribution of the load on the electricity grid throughout the day. This paper analyses changes in electric charging for different user groups during different phases of the pandemic to assess the long-term effects on EV charging needs.
Coastal nourishments, where sand from offshore is placed near or at the beach, are nowadays a key coastal protection method for narrow beaches and hinterlands worldwide. Recent sea level rise projections and the increasing involvement of multiple stakeholders in adaptation strategies have resulted in a desire for nourishment solutions that fit a larger geographical scale (O 10 km) and a longer time horizon (O decades). Dutch frontrunner pilot experiments such as the Sandmotor and Ameland inlet nourishment, as well as the Hondsbossche Dunes coastal reinforcement project have all been implemented from this perspective, with the specific aim to encompass solutions that fit in a renewed climate-resilient coastal protection strategy. By capitalizing on recent large-scale nourishments, the proposed Coastal landSCAPE project C-SCAPE will employ and advance the newly developed Dynamic Adaptive Policy Pathways (DAPP) approach to construct a sustainable long-term nourishment strategy in the face of an uncertain future, linking climate and landscape scales to benefits for nature and society. Novel long-term sandy solutions will be examined using this pathways method, identifying tipping points that may exist if distinct strategies are being continued. Crucial elements for the construction of adaptive pathways are 1) a clear view on the long-term feasibility of different nourishment alternatives, and 2) solid, science-based quantification methods for integral evaluation of the social, economic, morphological and ecological outcomes of various pathways. As currently both elements are lacking, we propose to erect a Living Lab for Climate Adaptation within the C-SCAPE project. In this Living Lab, specific attention is paid to the socio-economic implications of the nourished landscape, as we examine how morphological and ecological development of the large-scale nourishment strategies and their design choices (e.g. concentrated vs alongshore uniform, subaqueous vs subaerial, geomorphological features like artificial lagoons) translate to social acceptance.
Our world is changing rapidly as a result of societal and technological developments that create new opportunities and challenges. Extended Realities (XR) could provide solutions for the problems the world is facing. In this project we apply these novel solutions in food and hospitality. It aims to tackle fundamental questions on how to stimulate a healthy and vital society that is based on a sustainable and innovative economy. This project aims to answer the question: How can Extended Reality (XR) technologies be integrated in the design of immersive food experiences to stimulate sustainable consumption behavior? A multidisciplinary approach, that has demonstrated its strength in the creative industry, will be applied in the hospitality and food sector. The project investigates implications and design considerations for immersion through XR technology that can stimulate sustainable consumption behavior. Based on XR prototypes, physiological data will be collected using biometric measuring devices in combination with self-reports. The effect of stimuli on sustainable consumption behavior during the immersive experience will be tested to introduce XR implementations that can motivate long-term behavioral change in food consumption. The results of the project contribute towards developing innovations in the hospitality sector that can tackle global societal challenges by exploiting the impact of new technology and understanding of consumer behavior to promote a healthy lifestyle and economy. Next to academic publications and conference contributions, the project will develop a handbook for hospitality professionals. It will outline steps and design criteria for the implementation of XR technologies to create immersive experiences that can stimulate sustainable consumption behavior. The knowledge generated in the project will contribute to the development of the curriculum at the Academy for Hotel and Facility at Breda University of Applied Sciences by introducing a technology-driven experience design approach for the course Sustainable Strategic Business Design.
We propose to do an experimental study in which we will use 360 video and still photo simulations that portray varying levels of crowding. Simulations will be presented to 25 student participants and 25 older adult participants (65+; a lucrative tourist segment) in an experimental setting while signals of their emotional responses are recorded from their brain (EEG) and body (skin conductivity and heart rate) at our Experience Measurement Lab. A questionnaire will measure their intent to recommend and their willingness to pay for the ‘experiences’ (simulations) they have viewed. Analyses will determine optimal levels of crowding for the quality of the tourist experience, but also for income at the destination, accounting for the fact that a more crowded destination features more potential sources of income (visitors), but each a (possibly) different level of willingness to pay, including potential implications for local tourist taxes. Models will also account for possibly different processes in the two different age groups. Furthermore, modelling word-of-mouth/mouse marketing based on intent to recommend will also make it possible to predict how crowding affects demand long-term. Partner: KU Leuven.
