Augmented Play Spaces (APS) are (semi-) public environments where playful interaction isfacilitated by enriching the existing environment with interactive technology. APS canpotentially facilitate social interaction and physical activity in (semi-)public environments. Incontrolled settings APS show promising effects. However, people’s willingness to engagewith APSin situ, depends on many factors that do not occur in aforementioned controlledsettings (where participation is obvious). To be able to achieve and demonstrate thepositive effects of APS when implemented in (semi-)public environments, it is important togain more insight in how to motivate people to engage with them and better understandwhen and how those decisions can be influenced by certain (design) factors. TheParticipant Journey Map (PJM) was developed following multiple iterations. First,based on related work, and insights gained from previously developed andimplemented APS, a concept of the PJM was developed. Next, to validate and refinethe PJM, interviews with 6 experts with extensive experience with developing andimplementing APS were conducted. Thefirst part of these interviews focused oninfluential (design) factors for engaging people into APS. In the second part, expertswere asked to provide feedback on thefirst concept of the PJM. Based on the insightsfrom the expert interviews, the PJM was adjusted and refined. The Participant JourneyMap consists of four layers: Phases, States, Transitions and Influential Factors. There aretwo overarchingphases:‘Onboarding’and‘Participation’and 6statesa (potential)participant goes through when engaging with an APS:‘Transit,’‘Awareness,’‘Interest,’‘Intention,’‘Participation,’‘Finishing.’Transitionsindicate movements between states.Influential factorsare the factors that influence these transitions. The PJM supportsdirections for further research and the design and implementation of APS. Itcontributes to previous work by providing a detailed overview of a participant journeyand the factors that influence motivation to engage with APS. Notable additions are thedetailed overview of influential factors, the introduction of the states‘Awareness,’‘Intention’and‘Finishing’and the non-linear approach. This will support taking intoaccount these often overlooked, key moments in future APS research and designprojects. Additionally, suggestions for future research into the design of APS are given.
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Lector Sanne de Vries startte tien jaar geleden als lector bij het lectoraat Gezonde Leefstijl in Stimulerende Omgeving (GLSO). In het afgelopen decennium veranderde de focus van het lectoraat én groeide de kenniskring uit tot een maatschappelijk betrokken groep onderzoekers met impact in het werkveld. Een terugblik op tien jaar onderzoek met de lector die zelf minimaal drie keer per week sport en houdt van gezond én lekker eten.
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Inleiding Van praktijkondersteuners wordt verwacht dat zij samen met chronische zieke patiënten doelen en actieplannen formuleren. Dit vraagt een verandering van hun rol: van medisch expert naar coach. Wij onderzochten de ervaringen van praktijkondersteuners en patiënten met COACH, een nieuwe aanpak voor gezamenlijke besluitvorming, en hun mening over de implementatiemogelijkheden van deze aanpak. Methode Vijftien praktijkondersteuners in Noord-Limburg kregen een training in de nieuwe aanpak; 23 patiënten deden mee aan het onderzoek. De kwantitatieve en kwalitatieve procesevaluatie omvatte individuele interviews (n = 15), een focusgroep (n = 9) en vragenlijstonderzoek bij de praktijkondersteuners, interviews met patiënten (n = 10) en dertien audio-opnamen van een consult. Resultaten De praktijkondersteuners vonden COACH waardevol om tot persoonsgerichte doelen te komen, maar moeilijk te integreren in de bestaande werkroutines. Ze ervoeren een rolconflict ten aanzien van het medisch protocol en voelden zich daarin weinig ondersteund door de huisartsen. De helft van de geïnterviewde patiënten merkte geen verschil in de werkwijze van de praktijkondersteuner; de anderen meldden dat de praktijkondersteuner meer vragen had gesteld en dat zij meer inzicht in hun situatie hadden gekregen. Conclusie Om praktijkondersteuners daadwerkelijk te kunnen inschakelen bij gezamenlijke besluitvorming, zullen praktijkondersteuners en huisartsen samen moeten nadenken over een gezamenlijke rolopvatting.
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De publicatielijst bevat alle publicaties waar Marije Deutekom aan bijgedragen heeft in de periode 2016 - 2020
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In het WHEELS-project wordt de eerste leefstijlapp voor rolstoelgebruikers met een dwarslaesie of beenamputatie ontwikkeld. Doel is dat zij ook ná de revalidatiefase kunnen werken aan hun vitaliteit en een gezonde leefstijl. In dit artikel wordt beschreven hoe de app in 6 stappen is ontwikkeld en worden de eerste resultaten van een gebruikersstudie samengevat.
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Objective: To investigate the effects of a school-based once-a-week sports program on physical fitness, physical activity, and cardiometabolic health in children and adolescents with a physical disability. Methods: This controlled clinical trial included 71 children and adolescents from four schools for special education [mean age 13.7 (2.9) years, range 8–19, 55% boys]. Participants had various chronic health conditions including cerebral palsy (37%), other neuromuscular (44%), metabolic (8%), musculoskeletal (7%), and cardiovascular (4%) disorders. Before recruitment and based on the presence of school-based sports, schools were assigned as sport or control group. School-based sports were initiated and provided by motivated experienced physical educators. The sport group (n = 31) participated in a once-a-week school-based sports program for 6 months, which included team sports. The control group (n = 40) followed the regular curriculum. Anaerobic performance was assessed by the Muscle Power Sprint Test. Secondary outcome measures included aerobic performance, VO2 peak, strength, physical activity, blood pressure, arterial stiffness, body composition, and the metabolic profile. Results: A significant improvement of 16% in favor of the sport group was found for anaerobic performance (p = 0.003). In addition, the sport group lost 2.8% more fat mass compared to the control group (p = 0.007). No changes were found for aerobic performance, VO2 peak, physical activity, blood pressure, arterial stiffness, and the metabolic profile. Conclusion: Anaerobic performance and fat mass improved following a school-based sports program. These effects are promising for long-term fitness and health promotion, because sports sessions at school eliminate certain barriers for sports participation and adding a once-a-week sports session showed already positive effects for 6 months.
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Research demonstrated a large variety regarding effects of light (e.g. health, performance, or comfort effects). Since human health is related to each individual separately, the lighting conditions around these individuals should be analysed individually as well. This paper provides, based on a literature study, an overview identifying the currently used methodologies for measuring lighting conditions in light effect studies. 22 eligible articles were analysed and this resulted in two overview tables regarding the light measurement methodologies. In 70% of the papers, no measurement details were reported. In addition, light measurements were often averaged over time (in 84% of the papers) or location level (in 32% of the papers) whereas it is recommended to use continuous personal lighting conditions when light effects are being investigated. Conclusions drawn in light effect studies based on personal lighting conditions may be more trusting and valuable to be used as input for an effect-driven lighting control system.
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Background: There is an increasing number of patients with a chronic illness demanding primary care services. This demands for effective self-management support, including collaborative goal setting. Despite the fact that primary care professionals seem to have difficulties implementing goal setting, little information is available about the factors influencing the complexity of this process in primary care. Objective: The aim of this study was to contribute to an understanding of the complexity of selfmanagement goal setting in primary care by exploring experts’ and primary care professionals’ experiences with self-management goal setting and viewpoints regarding influencing factors. Methods: A descriptive qualitative research methodology was adopted. Two focus groups and three individual interviews were conducted (total participants n = 17). Thematic content analysis was used to analyse the data. Results: The findings were categorized into four main themes with subordinated subthemes. The themes focus around the complexity of setting non-medical goals and around professionals’ skills and attitudes to negotiate and decide about goals with patients. Furthermore, patients’ skills and attitudes for goal setting and the integration of goal setting in the time available were formulated as themes. Conclusions: Setting self-management goals in primary care, especially in family medicine, might require a shift from a medical perspective to a biopsychosocial perspective, with an increasing role set aside for the professional to coach the patient in expressing his self-management goals and to take responsibility for these goals.
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Abstract The aim of this cross-sectional study was to develop a Frailty at Risk Scale (FARS) incorporating ten well-known determinants of frailty: age, sex, marital status, ethnicity, education, income, lifestyle, multimorbidity, life events, and home living environment. In addition, a second aim was to develop an online calculator that can easily support healthcare professionals in determining the risk of frailty among community-dwelling older people. The FARS was developed using data of 373 people aged ≥ 75 years. The Tilburg Frailty Indicator (TFI) was used for assessing frailty. Multivariate logistic regression analysis showed that the determinants multimorbidity, unhealthy lifestyle, and ethnicity (ethnic minority) were the most important predictors. The area under the curve (AUC) of the model was 0.811 (optimism 0.019, 95% bootstrap CI = −0.029; 0.064). The FARS is offered on a Web site, so that it can be easily used by healthcare professionals, allowing quick intervention in promoting quality of life among community-dwelling older people.
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The WHEELS app was developed using the intervention mapping framework. Intervention goals were determined based on a needs assessment, after which behavior change strategies were selected to achieve these goals. These were applied in an app that was pretested on ease of use and satisfaction, followed by minor adjustments. Subsequently, a 12-week pre-post pilot study was performed to explore usability, feasibility, and effectiveness of the app. Participants received either a remote-guided or stand-alone intervention. Responses to semistructured interviews were analyzed using content analysis, and questionnaires (System Usability Score [SUS], and Usefulness, Satisfaction, and Ease) were administered to investigate usability and feasibility. Effectiveness was determined by measuring outcomes on physical activity, nutrition, sleep quality (Pittsburgh Sleep Quality Index), body composition, and other secondary outcomes pre and post intervention, and by calculating effect sizes (Hedges g).
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