Background: Most studies on older adults' vitality focus on linear connections between determinants and outcomes. To design more comprehensive and impactful approaches to support the vitality of older adults, a better understanding of the interplay among elements that shape their vitality is necessary. Objective: To uncover the underlying dynamic system that drives vitality in older adults, drawing directly from older adults' perspectives. Methods: During three group model-building sessions with 10–12 older adults (≥ 55 years old), a causal loop diagram with relevant feedback loops was developed through co-creation with older adults. The construction and analysis of the causal loop diagram were facilitated using the online modelling tools Vensim and Kumu. The group model-building sessions were guided by Scriptapedia, an online guide to conducting group model-building practices. Results: The final CLD consisted of 15 elements contributing to older adults' vitality, organised into three themes: ‘Psychological and emotional elements’, ‘Social connections and support’ and ‘Lifestyle and habits’. A total of 41 reinforcing feedback loops were identified, with 21 involving all three themes, 15 connecting two themes and 5 within a single theme. Conclusions: This study displays the complex interplay of elements influencing older adults' vitality, highlighting the critical roles of psychological, social and lifestyle-related elements. The participatory-led approach yielded co-produced insights that inform public health strategies, underscoring the need for comprehensive, multidisciplinary approaches to promote older adults' vitality. Such approaches must offer social opportunities and foster individuals' capacity and motivation to engage in meaningful social relationships. Patient or Public Contribution: The study was conducted in collaboration with a municipal policymaker and a coordinator of local community centres, who provided input on participant recruitment, materials, data interpretation, ethical considerations and result dissemination. During data collection, twelve older adults participated in three group model-building sessions, collaboratively developing a causal loop diagram to explore elements of vitality and their interconnections. Ongoing member checking with participants throughout the process ensured the analysis was refined and the researchers' interpretations were validated.
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Just what and how eight experienced teachers in four coaching dyads learned during a 1-year reciprocal peer coaching trajectory was examined in the present study. The learning processes were mapped by providing a detailed description of reported learning activities, reported learning outcomes, and the relations between these two. The sequences of learning activities associated with a particular type of learning outcome were next selected, coded, and analyzed using a variety of quantitative methods. The different activity sequences undertaken by the teachers during a reciprocal peer coaching trajectory were found to trigger different aspects of their professional development.
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BackgroundPromoting physical activity (PA) in patients during and/or after an inpatient stay appears important but challenging. Interventions using activity trackers seem promising to increase PA and enhance recovery of physical functioning.ObjectiveTo review the effectiveness of physical activity interventions using activity trackers on improving PA and physical functioning, compared to usual care in patients during and/or after inpatient care. In addition, it was determined whether the following intervention characteristics increase the effectiveness of these interventions: the number of behaviour change techniques (BCTs) used, the use of a theoretical model or the addition of coaching by a health professional.DesignSystematic review and meta-analysis.Data SourcesPubMed, EMBASE, Cinahl, SportDiscus and Web of Science databases were searched in March 2020 and updated in March 2021.Eligibility criteria for selecting studiesRandomized controlled trials (RCTs) including interventions using activity trackers and feedback on PA in adult patients during, or less than 3 months after, hospitalization or inpatient rehabilitation.MethodsFollowing database search and title and abstract screening, articles were screened on full text for eligibility and then assessed for risk of bias by using the Physiotherapy Evidence Database (PEDro) scale. Meta-analyses, including subgroup analysis on intervention characteristics, were conducted for the outcomes PA and physical functioning.ResultsOverall, 21 RCTs totalling 2355 patients were included. The trials covered a variety of clinical areas. There was considerable heterogeneity between studies. For the 13 studies that measured PA as an outcome variable(N = 1435), a significant small positive effect in favour of the intervention was found (standardized mean difference (SMD) = 0.34; 95%CI 0.12–0.56). For the 13 studies that measured physical functioning as an outcome variable (N = 1415) no significant effect was found (SMD = 0.09; 95%CI -0.02 - 0.19). Effectiveness on PA seems to improve by providing the intervention both during and after the inpatient period and by using a theoretical model, multiple BCTs and coaching by a health professional.ConclusionInterventions using activity trackers during and/or after inpatient care can be effective in increasing the level of PA. However, these improvements did not necessarily translate into improvements in physical functioning. Several intervention characteristics were found to increase the effectiveness of PA interventions.Trial registrationRegistered in PROSPERO (CRD42020175977) on March 23th, 2020.
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