A Feasibility Study of the “Motus” System for Wearable-Based Movement Behaviors at Scale Article Swipe
Nidhi Gupta
,
Martin Eghøj
,
Tonje Pedersen Ludvigsen
,
Jon Roslyng Larsen
,
Christian Tolstrup Wester
,
Rasmus Kildedal
,
Emmanuel Stamatakis
,
Leon Straker
,
Mette Aadahl
,
Peter Johansson
,
Paul Jarle Mork
,
Christina Bjørk Petersen
,
Andreas Holtermann
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1123/jpah.2024-0832
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1123/jpah.2024-0832
Background : For detailed, large-scale data on 24-hour movement behaviors, we designed a system “Motus” using state-of-the-art wearable and cloud technology, and tested its feasibility on randomly chosen Danish adults in a 2-stage evaluation. Methods : Stage 1: We invited 7735 adults, responding to a national occupational health surveillance-2021. Consented participants received a wearable (SENSmotion Plus) and downloaded the Motus app, which provided instructions for wearable attachment on the thigh and for self-reporting work and sleep hours. Following the 7-day measurement, participants completed a feasibility questionnaire. Administrators recorded time spent on Motus-related tasks (eg, postal package preparation). Identified feasibility issues led to revisions of protocol and Motus elements. Stage 2: We invited 6993 adults from a national public health surveillance-2023. Participants used the revised Motus version. We evaluated Motus on the key issues identified from stage 1. Results : Stage 1: Feasibility ranged from 77% for social acceptability to 98% for adherence to the measurement protocol. Participants reported spending 73 minutes per week (eg, attaching the sensors) on Motus, while administrators reported 15 minutes per participant. We identified 3 issues: 6% consent rate, 20% lost wearables (but not the data), and 10% wearable patches becoming loose. We addressed these issues by sending reminders, using stronger return envelopes, and replacing patch adhesive with higher quality alternatives, respectively. At stage 2, we observed a higher consent rate (23%) and lower patch complaints (<3%) but higher wearables loss (25%). Conclusion : Motus displays promising feasibility for collecting large-scale 24-hour movement behavior data. However, the low participation rate and high sensor loss require improvement before broader implementation, especially in surveillance.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1123/jpah.2024-0832
- https://journals.humankinetics.com/downloadpdf/view/journals/jpah/aop/article-10.1123-jpah.2024-0832/article-10.1123-jpah.2024-0832.pdf
- OA Status
- hybrid
- Cited By
- 2
- References
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- 10
- OpenAlex ID
- https://openalex.org/W4410828216
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4410828216Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1123/jpah.2024-0832Digital Object Identifier
- Title
-
A Feasibility Study of the “Motus” System for Wearable-Based Movement Behaviors at ScaleWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2025Year of publication
- Publication date
-
2025-05-28Full publication date if available
- Authors
-
Nidhi Gupta, Martin Eghøj, Tonje Pedersen Ludvigsen, Jon Roslyng Larsen, Christian Tolstrup Wester, Rasmus Kildedal, Emmanuel Stamatakis, Leon Straker, Mette Aadahl, Peter Johansson, Paul Jarle Mork, Christina Bjørk Petersen, Andreas HoltermannList of authors in order
- Landing page
-
https://doi.org/10.1123/jpah.2024-0832Publisher landing page
- PDF URL
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https://journals.humankinetics.com/downloadpdf/view/journals/jpah/aop/article-10.1123-jpah.2024-0832/article-10.1123-jpah.2024-0832.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
hybridOpen access status per OpenAlex
- OA URL
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https://journals.humankinetics.com/downloadpdf/view/journals/jpah/aop/article-10.1123-jpah.2024-0832/article-10.1123-jpah.2024-0832.pdfDirect OA link when available
- Concepts
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Wearable computer, Wearable technology, Protocol (science), Scale (ratio), Informed consent, Medicine, Computer science, Psychology, Geography, Alternative medicine, Cartography, Pathology, Embedded systemTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
2Total citation count in OpenAlex
- Citations by year (recent)
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2025: 2Per-year citation counts (last 5 years)
- References (count)
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28Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.higher | 212, 222, 232 |
| abstract_inverted_index.hours. | 76 |
| abstract_inverted_index.issues | 99, 132, 199 |
| abstract_inverted_index.loose. | 195 |
| abstract_inverted_index.postal | 94 |
| abstract_inverted_index.public | 117 |
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| abstract_inverted_index.return | 205 |
| abstract_inverted_index.sensor | 256 |
| abstract_inverted_index.social | 146 |
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| abstract_inverted_index.2-stage | 32 |
| abstract_inverted_index.24-hour | 7, 245 |
| abstract_inverted_index.Methods | 34 |
| abstract_inverted_index.Results | 137 |
| abstract_inverted_index.adults, | 41 |
| abstract_inverted_index.broader | 261 |
| abstract_inverted_index.consent | 181, 223 |
| abstract_inverted_index.invited | 39, 111 |
| abstract_inverted_index.issues: | 179 |
| abstract_inverted_index.minutes | 160, 173 |
| abstract_inverted_index.package | 95 |
| abstract_inverted_index.patches | 193 |
| abstract_inverted_index.quality | 213 |
| abstract_inverted_index.require | 258 |
| abstract_inverted_index.revised | 123 |
| abstract_inverted_index.sending | 201 |
| abstract_inverted_index.(<3%) | 230 |
| abstract_inverted_index.However, | 249 |
| abstract_inverted_index.adhesive | 210 |
| abstract_inverted_index.becoming | 194 |
| abstract_inverted_index.behavior | 247 |
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| abstract_inverted_index.displays | 239 |
| abstract_inverted_index.movement | 8, 246 |
| abstract_inverted_index.national | 45, 116 |
| abstract_inverted_index.observed | 220 |
| abstract_inverted_index.protocol | 104 |
| abstract_inverted_index.provided | 62 |
| abstract_inverted_index.randomly | 26 |
| abstract_inverted_index.received | 51 |
| abstract_inverted_index.recorded | 87 |
| abstract_inverted_index.reported | 157, 171 |
| abstract_inverted_index.sensors) | 166 |
| abstract_inverted_index.spending | 158 |
| abstract_inverted_index.stronger | 204 |
| abstract_inverted_index.version. | 125 |
| abstract_inverted_index.wearable | 17, 53, 65, 192 |
| abstract_inverted_index.Consented | 49 |
| abstract_inverted_index.Following | 77 |
| abstract_inverted_index.addressed | 197 |
| abstract_inverted_index.adherence | 151 |
| abstract_inverted_index.attaching | 164 |
| abstract_inverted_index.completed | 82 |
| abstract_inverted_index.detailed, | 3 |
| abstract_inverted_index.elements. | 107 |
| abstract_inverted_index.evaluated | 127 |
| abstract_inverted_index.promising | 240 |
| abstract_inverted_index.protocol. | 155 |
| abstract_inverted_index.replacing | 208 |
| abstract_inverted_index.revisions | 102 |
| abstract_inverted_index.wearables | 185, 233 |
| abstract_inverted_index.Background | 0 |
| abstract_inverted_index.Conclusion | 236 |
| abstract_inverted_index.Identified | 97 |
| abstract_inverted_index.attachment | 66 |
| abstract_inverted_index.behaviors, | 9 |
| abstract_inverted_index.collecting | 243 |
| abstract_inverted_index.complaints | 229 |
| abstract_inverted_index.downloaded | 57 |
| abstract_inverted_index.envelopes, | 206 |
| abstract_inverted_index.especially | 263 |
| abstract_inverted_index.identified | 133, 177 |
| abstract_inverted_index.reminders, | 202 |
| abstract_inverted_index.responding | 42 |
| abstract_inverted_index.(SENSmotion | 54 |
| abstract_inverted_index.Feasibility | 141 |
| abstract_inverted_index.evaluation. | 33 |
| abstract_inverted_index.feasibility | 24, 84, 98, 241 |
| abstract_inverted_index.improvement | 259 |
| abstract_inverted_index.large-scale | 4, 244 |
| abstract_inverted_index.measurement | 154 |
| abstract_inverted_index.technology, | 20 |
| abstract_inverted_index.“Motus” | 14 |
| abstract_inverted_index.Participants | 120, 156 |
| abstract_inverted_index.instructions | 63 |
| abstract_inverted_index.measurement, | 80 |
| abstract_inverted_index.occupational | 46 |
| abstract_inverted_index.participant. | 175 |
| abstract_inverted_index.participants | 50, 81 |
| abstract_inverted_index.Motus-related | 91 |
| abstract_inverted_index.acceptability | 147 |
| abstract_inverted_index.alternatives, | 214 |
| abstract_inverted_index.participation | 252 |
| abstract_inverted_index.preparation). | 96 |
| abstract_inverted_index.respectively. | 215 |
| abstract_inverted_index.surveillance. | 265 |
| abstract_inverted_index.Administrators | 86 |
| abstract_inverted_index.administrators | 170 |
| abstract_inverted_index.questionnaire. | 85 |
| abstract_inverted_index.self-reporting | 72 |
| abstract_inverted_index.implementation, | 262 |
| abstract_inverted_index.state-of-the-art | 16 |
| abstract_inverted_index.surveillance-2021. | 48 |
| abstract_inverted_index.surveillance-2023. | 119 |
| cited_by_percentile_year.max | 97 |
| cited_by_percentile_year.min | 95 |
| countries_distinct_count | 4 |
| institutions_distinct_count | 13 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/16 |
| sustainable_development_goals[0].score | 0.4399999976158142 |
| sustainable_development_goals[0].display_name | Peace, Justice and strong institutions |
| citation_normalized_percentile.value | 0.92996158 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |