Evidence map›Paper›PMID 36960675›Full record

ReviewActa neuropsychiatrica2023

Wearables measuring electrodermal activity to assess perceived stress in care: a scoping review.

Agata Klimek, Ittay Mannheim, Gerard Schouten, Eveline J M Wouters, Manon W H Peeters

Abstract readReview
In one paragraph

Review in Acta neuropsychiatrica, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

23 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Trial
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Review
  17. A Review on Assisted Living Using Wearable Devices.Sensors (Basel, Switzerland) · 2024
    Review
  18. Article
  19. Article
  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

5 authors.

Agata KlimekSchool for Allied Health Professions, Fontys University of Applied Sciences, Eindhoven, The Netherlands.
Ittay MannheimSchool for Allied Health Professions, Fontys University of Applied Sciences, Eindhoven, The Netherlands.ORCID https://orcid.org/0000-0003-4304-433X
Gerard SchoutenSchool for Information & Communication Technology, Fontys University of Applied Sciences, Eindhoven, The Netherlands.ORCID https://orcid.org/0000-0001-7042-2143
Eveline J M WoutersSchool for Allied Health Professions, Fontys University of Applied Sciences, Eindhoven, The Netherlands.ORCID https://orcid.org/0000-0001-8911-9398
Manon W H PeetersSchool for Allied Health Professions, Fontys University of Applied Sciences, Eindhoven, The Netherlands.ORCID https://orcid.org/0000-0001-6147-1226

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChronic stress responses can lead to physical and behavioural health problems, often experienced and observed in the care of people with intellectual disabilities or people with dementia. Electrodermal activity (EDA) is a bio-signal for stress, which can be measured by wearables and thereby support stress management. However, the how, when and to what extent patients and healthcare providers can benefit is unclear. This study aims to create an overview of available wearables enabling the detection of perceived stress by using EDA.

methodsFollowing the PRISMA-SCR protocol for scoping reviews, four databases were included in the search of peer-reviewed studies published between 2012 and 2022, reporting detection of EDA in relation to self-reported stress or stress-related behaviours. Type of wearable, bodily location, research population, context, stressor type and the reported relationship between EDA and perceived stress were extracted.

resultsOf the 74 included studies, the majority included healthy subjects in laboratory situations. Field studies and studies using machine learning (ML) to predict stress have increased in the last years. EDA is most often measured on the wrist, with offline data processing. Studies predicting perceived stress or stress-related behaviour using EDA features, reported accuracies between 42% and 100% with an average of 82.6%. Of these studies, the majority used ML.

conclusionWearable EDA sensors are promising in detecting perceived stress. Field studies with relevant populations in a health or care context are lacking. Future studies should focus on the application of EDA-measuring wearables in real-life situations to support stress management.

Indexed as

galvanic skin responsemental disordersproblem behaviourpsychological stresswearable electronic devices

Identifiers

PMID36960675
PMCPMC13130278

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.