Health Behaviour Changes driven by Personalized Feedback Reports from wearables data: A HANDDS‐ONT Study

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Xuất bản năm:Alzheimer's & Dementia vol. 21 (Dec 1, 2025)
Tác giả chính: Culum, Ivan
Tác giả khác: Narayan, Emily, Godkin, Elizabeth F., Beyer, Kit B., Swartz, Richard H., Munoz, Douglas P., Black, Sandra E., Masellis, Mario, Lang, Anthony E., Thai, Vanessa, Oklikah, Desmond O., McIlroy, William E., Ooteghem, Karen Van, Roberts, Angela C.
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John Wiley & Sons, Inc.
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LEADER 00000nab a2200000uu 4500
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022 |a 1552-5260 
022 |a 1552-5279 
024 7 |a 10.1002/alz70860_105589  |2 doi 
035 |a 3286000703 
045 0 |b d20251201 
100 1 |a Culum, Ivan  |u Canadian Centre for Activity and Aging, London, ON, Canada, 
245 1 |a Health Behaviour Changes driven by Personalized Feedback Reports from wearables data: A HANDDS‐ONT Study 
260 |b John Wiley & Sons, Inc.  |c Dec 1, 2025 
513 |a Journal Article 
520 3 |a Background Wearable technologies combined with health feedback can influence health behaviours in older adults and individuals with neurodegenerative diseases (NDD). Despite their potential, limited research explores how health feedback from wearables affects behaviour change in these populations. This study used data from the Health in Aging, Neurodegenerative Diseases and Dementias in Ontario (HANDDS‐ONT) study to examine behaviour changes following the delivery of personalized health feedback reports. Reports were co‐designed with input from clinicians, community stakeholders, and individuals with NDD (Van Ooteghem et al., 2023). Method Participants wore wearable devices for 7–10 days, collecting data on physical activity, sedentary behaviour, and sleep. Personalized feedback reports were generated and reviewed in a guided session. After four weeks, participants completed an online survey and interview with a research coordinator assessing feedback utility and behaviour changes. This prospective observational study included participants with at least four days of device wear and survey/interview data (n = 203; 98 controls, 105 NDD) (Table 1). Statistical analyses examined group differences (NDD/controls) and predictors of behaviour change, complemented by a thematic analysis of open‐ended survey responses. Results No significant group differences were observed in the proportion of participants (Control = 64.3%; NDD = 52.4%) reporting at least one behaviour change (p = 0.086, η2 = 0.12) or in the number of changes reported (t(200.31) = 1.283, p = 0.201, d = 0.180) (Figure 1). A key predictor of behaviour change included sharing the report with family/friends (OR = 2.258, p = 0.021). Participants who rated the report as less helpful were less likely to change behaviour (OR = ‐0.527, p = 0.001) (Figure 2). Thematic analysis identified subthemes of contemplating change, seeking health information, and social support in behaviour change. Conclusion Personalized health feedback reports can encourage behaviour change in individuals with NDD. Perceived helpfulness and social sharing play critical roles. Findings highlight the potential of wearable technologies and tailored feedback in promoting self‐management and health optimization. Future research should explore long‐term behaviour change and the factors influencing sustainability over time. 
653 |a Physical fitness 
653 |a Feedback 
653 |a Helping behavior 
653 |a Behavior modification 
653 |a Responses 
653 |a Health promotion 
653 |a Research 
653 |a Reports 
653 |a Behavior 
653 |a Polls & surveys 
653 |a Older people 
653 |a Health behavior 
653 |a Health 
653 |a Social support 
653 |a Neurodegenerative diseases 
653 |a Aging 
653 |a Behavior change 
653 |a Data 
653 |a Adults 
653 |a Interviews 
653 |a Disease 
653 |a Change agents 
653 |a Observational studies 
653 |a Physical activity 
653 |a Changes 
653 |a Sedentary 
653 |a Optimization 
653 |a Health information 
653 |a Customization 
700 1 |a Narayan, Emily  |u Western University, London, ON, Canada, 
700 1 |a Godkin, Elizabeth F.  |u University of Waterloo, Waterloo, ON, Canada, 
700 1 |a Beyer, Kit B.  |u University of Waterloo, Waterloo, ON, Canada, 
700 1 |a Swartz, Richard H.  |u ICES, Toronto, ON, Canada, 
700 1 |a Munoz, Douglas P.  |u Queen's University, Kingston, ON, Canada, 
700 1 |a Black, Sandra E.  |u Sunnybrook Research Institute, Toronto, ON, Canada, 
700 1 |a Masellis, Mario  |u Sunnybrook Research Institute, Toronto, ON, Canada, 
700 1 |a Lang, Anthony E.  |u University of Toronto, Toronto, ON, Canada, 
700 1 |a Thai, Vanessa  |u University of Waterloo, Waterloo, ON, Canada, 
700 1 |a Oklikah, Desmond O.  |u Western University, London, ON, Canada, 
700 1 |a McIlroy, William E.  |u University of Waterloo, Waterloo, ON, Canada, 
700 1 |a Ooteghem, Karen Van  |u University of Waterloo, Waterloo, ON, Canada, 
700 1 |a Roberts, Angela C.  |u Canadian Centre for Activity and Aging, London, ON, Canada, 
773 0 |t Alzheimer's & Dementia  |g vol. 21 (Dec 1, 2025) 
786 0 |d ProQuest  |t Consumer Health Database 
856 4 1 |3 Citation/Abstract  |u https://www.proquest.com/docview/3286000703/abstract/embedded/L8HZQI7Z43R0LA5T?source=fedsrch 
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856 4 0 |3 Full Text - PDF  |u https://www.proquest.com/docview/3286000703/fulltextPDF/embedded/L8HZQI7Z43R0LA5T?source=fedsrch