Validity of pervasive computing based continuous physical activity assessment in community-dwelling old and oldest-old

Schütz, Narayan; Saner, Hugo; Rudin, Beatrice; Botros, Angela Amira; Pais, Bruno; Santschi, Valérie; Buluschek, Philipp; Gatica-Perez, Daniel; Urwyler, Prabitha; Marchal Crespo, Laura; Müri, René M.; Nef, Tobias (2019). Validity of pervasive computing based continuous physical activity assessment in community-dwelling old and oldest-old. Scientific Reports, 9(1), p. 9662. Nature Publishing Group 10.1038/s41598-019-45733-8

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In older adults, physical activity is crucial for healthy aging and associated with numerous health indicators and outcomes. Regular assessments of physical activity can help detect early health-related changes and manage physical activity targeted interventions. The quantification of physical activity, however, is difficult as commonly used self-reported measures are biased and rather unprecise point in time measurements. Modern alternatives are commonly based on wearable technologies which are accurate but suffer from usability and compliance issues. In this study, we assessed the potential of an unobtrusive ambient-sensor based system for continuous, long-term physical activity quantification. Towards this goal, we analysed one year of longitudinal sensor- and medical-records stemming from thirteen community-dwelling old and oldest old subjects. Based on the sensor data the daily number of room-transitions as well as the raw sensor activity were calculated. We did find the number of room-transitions, and to some degree also the raw sensor activity, to capture numerous known associations of physical activity with cognitive, well-being and motor health indicators and outcomes. The results of this study indicate that such low-cost unobtrusive ambient-sensor systems can provide an adequate approximation of older adults’ overall physical activity, sufficient to capture relevant associations with health indicators and outcomes.

Item Type:

Journal Article (Original Article)

Division/Institute:

10 Strategic Research Centers > ARTORG Center for Biomedical Engineering Research > ARTORG Center - Motor Learning and Neurorehabilitation
04 Faculty of Medicine > Department of Head Organs and Neurology (DKNS) > Clinic of Neurology
04 Faculty of Medicine > Department of Cardiovascular Disorders (DHGE) > Clinic of Cardiology
04 Faculty of Medicine > Pre-clinic Human Medicine > BioMedical Research (DBMR) > Forschungsbereich Pavillon 52 > Forschungsgruppe Perzeption und Okulomotorik
10 Strategic Research Centers > ARTORG Center for Biomedical Engineering Research
10 Strategic Research Centers > ARTORG Center for Biomedical Engineering Research > ARTORG Center - Gerontechnology and Rehabilitation

Graduate School:

Graduate School for Cellular and Biomedical Sciences (GCB)

UniBE Contributor:

Schütz, Narayan, Saner, Hugo Ernst, Botros, Angela Amira, Urwyler-Harischandra, Prabitha, Marchal Crespo, Laura, Müri, René Martin, Nef, Tobias

Subjects:

600 Technology > 610 Medicine & health
300 Social sciences, sociology & anthropology > 360 Social problems & social services
500 Science > 570 Life sciences; biology
600 Technology > 620 Engineering

ISSN:

2045-2322

Publisher:

Nature Publishing Group

Language:

English

Submitter:

Angela Amira Botros

Date Deposited:

07 Aug 2019 12:33

Last Modified:

05 Dec 2022 15:29

Publisher DOI:

10.1038/s41598-019-45733-8

PubMed ID:

31273234

BORIS DOI:

10.7892/boris.131815

URI:

https://boris.unibe.ch/id/eprint/131815

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