Activity monitoring combined with machine learning (ML) methods can contribute to detailed knowledge about daily physical behavior in older adults. The current study (1) evaluated the performance of an existing activity type recognition ML model (HARTH), based on data from healthy young adults, for classifying daily physical behavior in fit-to-frail older adults, (2) compared the performance with a ML model (HAR70+) that included training data from older adults, and (3) evaluated the ML models on older adults with and without walking aids. Eighteen older adults aged 70–95 years who ranged widely in physical function, including usage of walking aids, were equipped with a chest-mounted camera and two accelerometers during a semi-structured free-living protocol. Labeled accelerometer data from video analysis was used as ground truth for the classification of walking, standing, sitting, and lying identified by the ML models. Overall accuracy was high for both the HARTH model (91%) and the HAR70+ model (94%). The performance was lower for those using walking aids in both models, however, the overall accuracy improved from 87% to 93% in the HAR70+ model. The validated HAR70+ model contributes to more accurate classification of daily physical behavior in older adults that is essential for future research.

Background: The ageing population has increased the demand for healthcare services. In Norway, community-based long-term care are prioritised, leading to fewer nursing home places. As a result, nursing home residents are now older and have more complex needs. Nearly 92% of nursing home residents are affected by cognitive impairments accompanied by neuropsychiatric symptoms (NPS) that affect their daily activity, physical function, cognition, and behaviour. Traditionally, pharmacological therapy has been the prevailing treatment for NPS. However, emerging evidence suggests that physical activity can serve as an alternative treatment approach. Physical activity has the potential to maintain physical independence and enhance the quality of life (QoL) for the residents. Despite these benefits, institutionalisation in a nursing home often restricts activity levels of residents. This study explores facilitators and barriers to physical activity in nursing homes through the experiences of healthcare professionals and family caregivers. The goal is to enhance our understanding of how to promote and support physical activity for nursing home residents by identifying essential factors for successfully implementing daily physical activity initiatives. Methods: Seven focus groups were conducted with a total of 31 participants. Participants included healthcare professionals (physiotherapists, nurses, unit- and department managers, assistant occupational therapists, and assistant nurses) and family caregivers of residents at nursing homes. Data were analysed using Braun and Clarke’s reflexive thematic analysis, underpinned by hermeneutic phenomenology. Results: Three main themes related to facilitators and barriers to physical activity in nursing homes were identified: inconsistency in task prioritisation; need for improved interprofessional collaboration; and need for improved utilisation of external resources. The participants experienced task prioritisation and lack of interdisciplinary collaboration as barriers to physical activity. The involvement of external societal resources was considered as both a facilitator and a necessity for obtaining physical activity in nursing homes. Conclusions: This study highlights the need for a consensus in task prioritisation, enhanced competence among healthcare professionals, and better interdisciplinary collaboration to facilitate physical activity in nursing homes. Involving external societal resources could be a strategic approach to address barriers and support physical activity initiatives. Future research should focus on developing effective strategies for interdisciplinary collaboration that prioritises and promotes physical activity in nursing homes.

Background: As life expectancy increases, the incidence of age-related chronic health conditions and functional decline rises, increasing the need for institutional long-term care such as nursing homes. In Norway, 84% of nursing home residents have mild cognitive impairment or dementia. This population is characterized by a high burden of neuropsychiatric symptoms (NPS), which contribute to limited physical activity (PA) and a largely sedentary lifestyle. Regular PA is essential for maintaining physical function (PF) and independence, yet nursing home residents spend most of their time being sedentary. The present study aims to explore sensor-based measured PA patterns and investigate how PA is associated with NPS and PF in nursing home residents. Methods: This cross-sectional study used data from the fourth wave of the population-based Trøndelag Health Study 70-years-and-older cohort (HUNT4 70+), including activity data from a total of 163 nursing home residents. PA was measured using two accelerometers placed on the lower back and thigh. PA patterns were described through the activity types walking, standing, sitting, and lying, activity bouts, and transitions. NPS was assessed using the Nursing Home Version of the Neuropsychiatric Inventory (NPI-NH), and PF using the Short Physical Performance Battery (SPPB). All outcome variables were grouped based on cognitive impairment and dementia severity, set by clinical experts using the DSM-5 diagnostic criteria and the Clinical Dementia Rating (CDR) scale. Results: Participants’ mean age was 87.8 years, and 62% were female. With a daily average of 17.6 min walking, 1.1 h standing, 9.9 h sitting, and 12.7 h lying, our nursing home residents spent approximately 94% of the day being sedentary. Walking and standing appeared predominantly in bouts under 10 min across cognitive impairment and dementia severity. No association was found between time spent walking, standing, sitting, lying and transitions from sedentary behavior to activity with NPS. Time spent walking, standing, lying and transitions from sedentary behavior to activity was significantly associated with PF. Conclusions: PA mainly occurred in bouts shorter than 10 min and sitting and lying accounted for most of the daily behavior. No association was detected between time spent in different activities and NPS. Although time spent walking and standing was limited in all groups, it showed an association with PF. This may suggest that even small amounts of PA play a significant role in maintaining or improving physical capabilities in nursing home residents.