Evidence map›Paper›PMID 31273234›Full record

ArticleScientific reports2019

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

Narayan Schütz, Hugo Saner, Beatrice Rudin, Angela Botros, Bruno Pais, Valérie Santschi, Philipp Buluschek, Daniel Gatica-Perez, Prabitha Urwyler, Laura Marchal-Crespo and 2 more

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04793555 (Validation of an Apartment to Monitor Human Behaviour During Day and Night), which is not on this map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
2.6field-weighted citation impact, top 10% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT04793555 nacompletednot on this mapstarted 2021, after this paper: background citation

Validation of an Apartment to Monitor Human Behaviour During Day and Night

TypeinterventionalSponsorUniversity of BernRan2021 to 2022Enrolled104ConditionsNeurodegenerative Diseases, Activities of Daily Living, AgingArmsMonitoring by unobtrusive sensors
3 · Its place in the literature

Who cites it

21 citing papers in PubMed, 32 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Developing a brief older adults' physical activity questionnaire.Geriatrics & gerontology international · 2024
    Article
  5. Cognition and Activity of Daily Living Function in people with Parkinson's disease.Journal of neural transmission (Vienna, Austria : 1996) · 2024
    Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Eigenbehaviour as an Indicator of Cognitive Abilities.Sensors (Basel, Switzerland) · 2022
    Article
  12. Article
  13. Contactless Gait Assessment in Home-like Environments.Sensors (Basel, Switzerland) · 2021
    Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Observational
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 3 institutions in 1 country.

Narayan SchützGerontechnology & Rehabilitation Group, University of Bern, Bern, Switzerland.
Hugo SanerGerontechnology & Rehabilitation Group, University of Bern, Bern, Switzerland.
Beatrice RudinHöhere Fachschule Pflege, Berufsbildungszentrum Olten, Olten, Switzerland.
Angela BotrosGerontechnology & Rehabilitation Group, University of Bern, Bern, Switzerland.
Bruno PaisLa Source, School of Nursing Sciences, HES-SO University of Applied Sciences and Arts Western Switzerland, Lausanne, Switzerland.
Valérie SantschiLa Source, School of Nursing Sciences, HES-SO University of Applied Sciences and Arts Western Switzerland, Lausanne, Switzerland.
Philipp BuluschekDomoSafety S.A., Lausanne, Switzerland.
Daniel Gatica-PerezIdiap Research Institute, Martigny, Switzerland.
Prabitha UrwylerGerontechnology & Rehabilitation Group, University of Bern, Bern, Switzerland.ORCID http://orcid.org/0000-0002-7641-8898
Laura Marchal-CrespoGerontechnology & Rehabilitation Group, University of Bern, Bern, Switzerland.
René M MüriGerontechnology & Rehabilitation Group, University of Bern, Bern, Switzerland.ORCID http://orcid.org/0000-0001-6990-4188
Tobias NefGerontechnology & Rehabilitation Group, University of Bern, Bern, Switzerland. tobias.nef@artorg.unibe.ch.
University of Bern · CHHES-SO University of Applied Sciences and Arts Western Switzerland · CHÉcole Polytechnique Fédérale de Lausanne · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

ExerciseSelf ReportAged, 80 and overFemaleGeriatric AssessmentHumansIndependent LivingLongitudinal StudiesMaleReproducibility of ResultsWearable Electronic Devices

Identifiers

PMID31273234
PMCPMC6609627
OpenAlexW2954539192

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.