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Objective: What are the core capabilities physiotherapists need to deliver quality care when working with people with dementia and their families/caregivers?, Design: A three-round modified e-Delphi study., Participants: Panel members were physiotherapists experienced in working with people with dementia and/or educating and/or researching in the dementia field., Methods: A steering group (16 international physiotherapists and a consumer) developed a draft framework including 129 core capabilities across 5 domains for panel members to rate their appropriateness for inclusion as a core capability to provide high quality care to people with dementia and their caregivers/families. The RAND/UCLA method was used to assess consensus., Results: Thirty-five physiotherapists from 11 countries participated in Round 1, 31 (89%) in Round 2 and 28 (80% of Round 1) in Round 3. All core capabilities were rated appropriate for inclusion in each round. Panel members recommended wording refinements across the rounds and suggested 51 core capabilities for consideration. Three rounds were needed to reach consensus, resulting in 137 core capabilities rated appropriate for inclusion across 5 domains: 1) Knowledge and understanding, n = 36; 2) Assessment, n = 39; 3) Management, interventions and prevention n = 40; 4) Communication, therapeutic relationship and person-centred care, n = 17; and 5) Physiotherapists self-management and improvement, n = 5., Conclusions: This e-Delphi study outlines the core capabilities physiotherapists need to provide high quality care to people with dementia and their families/caregivers. These core capabilities can be used by physiotherapists to help identify knowledge/skill gaps, as well as by educators to improve their training of undergraduate and postgraduate students, and clinicians. CONTRIBUTION OF PAPER., Competing Interests: Competing interests None to report., (Copyright © 2024 The Author(s). Published by Elsevier Ltd.. All rights reserved.)

Objective: To determine if wrist-worn sensor parameters can predict incident dementia in individuals aged 60 + years and to compare prediction with other tools., Design: Observational cohort study., Setting: Community PARTICIPANTS: The cohort comprised 47,371 participants without dementia, aged 60 + years, who participated in the UK Biobank study (mean age=67 ± 4 years; 52 % female)., Measurements: Nineteen digital biomarkers were extracted from up-to-7-day wrist-worn sensor accelerometry data at baseline. Univariable and multivariable Cox proportional hazard models examined associations between sensor parameters and prospectively diagnosed dementia., Results: Median follow-up was 7.5 years (interquartile range: 7.0 to 9.0 years), during this time 387 participants (0.8 %) were diagnosed with dementia. Among the gait parameters, slower maximal walking speed had the strongest association with incident dementia (32 % decrease in hazard for each standard deviation increase) followed by lower daily step counts (30 % decrease) and increased step-time variability (17 % increase). While adjusting for age and sex, running duration, maximal walking speed and early bedtime were identified as independent and significant predictors of dementia. The multivariable prediction model performed comparably to the ANU-ADRI and UKB-Dementia Risk Score models in the UK Biobank cohort., Conclusions: The study findings indicate that remotely acquired parameters from wrist-worn sensors can predict incident dementia. Since wrist-worn sensors are highly acceptable for long-term use, wrist-worn sensor parameters have the potential to be incorporated into dementia screening programs., Competing Interests: Declaration of Competing Interest The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: A not-for-profit electronic platform that allows researchers to upload wrist accelerometry data and retrieve the Watch Walk digital biomarkers is currently under development at NeuRA. The Watch Walk algorithms are not currently available for commercial use., (Copyright © 2025 The Authors. Published by Elsevier Inc. All rights reserved.)