Using consumer wearables to estimate physical activity of nursing home residents with dementia

Aim: Physical activity of nursing home residents can be assessed with tools such as questionnaires and standardized fitness tests. For residents with dementia, however, those tools can be cognitively challenging and difficult to administer. Consumer wearables could potentially aid as an affordable tool for ubiquitous assessment. Methods: In this pilot study with 16 participants, we explored how measurements with an off-the-shelf wearable relate to structured observations of physical activity. We collected both processed and raw tri-axial accelerometer data from Samsung wrist-worn fitness trackers. To anchor those data in the free-living environment, we compared the measurements with the physical activity scale of the Medlo behavioral observation scheme. Results: We showed that consumer wearables are a valid tool for long-term data collection in this vulnerable patient population. Conclusions: Regarding the movement intensity, the data collected by fitness trackers is overall in accordance with the data collected with the observational tool. Regarding the type of movement, we concluded that the automatic activity classification on the wearables is not yet ready for use with a mostly sedentary patient population.

Authors

Institutions

Publication Details

Journal
Exploration of Digital Health Technologies
Published
2025-01-16
DOI
https://doi.org/10.37349/edht.2025.101137
Primary Topic
Physical Activity and Health
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Using consumer wearables to estimate physical activity of nursing home residents with dementia

Suzanne Portegijs, Matthijs van Leeuwen, Daniela Gawehns, Adriana Petronella Anna van Beek
Exploration of Digital Health Technologies
Physical Activity and Health
article

Using consumer wearables to estimate physical activity of nursing home residents with dementia

Suzanne Portegijs, Matthijs van Leeuwen, Daniela Gawehns, Adriana Petronella Anna van Beek
article en

Abstract

Aim: Physical activity of nursing home residents can be assessed with tools such as questionnaires and standardized fitness tests. For residents with dementia, however, those tools can be cognitively challenging and difficult to administer. Consumer wearables could potentially aid as an affordable tool for ubiquitous assessment. Methods: In this pilot study with 16 participants, we explored how measurements with an off-the-shelf wearable relate to structured observations of physical activity. We collected both processed and raw tri-axial accelerometer data from Samsung wrist-worn fitness trackers. To anchor those data in the free-living environment, we compared the measurements with the physical activity scale of the Medlo behavioral observation scheme. Results: We showed that consumer wearables are a valid tool for long-term data collection in this vulnerable patient population. Conclusions: Regarding the movement intensity, the data collected by fitness trackers is overall in accordance with the data collected with the observational tool. Regarding the type of movement, we concluded that the automatic activity classification on the wearables is not yet ready for use with a mostly sedentary patient population.

Exploration of Digital Health TechnologiesVol. 3
Leiden University (NL), Deakin University (AU), University of Applied Sciences Leiden (NL), Netherlands Institute for Health Services Research (NL), Medical University of Vienna (AT)
Openalex Percentile: Top 99%
Physical Activity and Health
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Using consumer wearables to estimate physical activity of nursing home residents with dementia — Suzanne Portegijs, Matthijs van Leeuwen, et al. · Exploration of Digital Health Technologies (2025) | TGRS Research Map | TGRS