Evidence map›Paper›PMID 32316370›Full record

ArticleHealthcare (Basel, Switzerland)2020

How to Relax in Stressful Situations: A Smart Stress Reduction System.

Yekta Said Can, Heather Iles-Smith, Niaz Chalabianloo, Deniz Ekiz, Javier Fernández-Álvarez, Claudia Repetto, Giuseppe Riva, Cem Ersoy

Open access · goldAbstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
3.9field-weighted citation impact, top 4% 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.

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

22 citing papers in PubMed, 75 citations in OpenAlex.

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  14. Review
  15. Wearables for Stress Management: A Scoping Review.Healthcare (Basel, Switzerland) · 2023
    Article
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  17. Article
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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

8 authors at 3 institutions in 3 countries.

Yekta Said CanComputer Engineering Department, Bogazici University, Istanbul 34342, Turkey.ORCID 0000-0002-6614-0183
Heather Iles-SmithLeeds Teaching Hospitals NHS Trust/University of Leeds, Leeds LS1 3EX, UK.
Niaz ChalabianlooComputer Engineering Department, Bogazici University, Istanbul 34342, Turkey.ORCID 0000-0001-7228-4725
Deniz EkizComputer Engineering Department, Bogazici University, Istanbul 34342, Turkey.ORCID 0000-0002-8130-3841
Javier Fernández-ÁlvarezGeneral Psychology and Communication Psychology, Catholic University of Milan, 20123 Milan, Italy.
Claudia RepettoGeneral Psychology and Communication Psychology, Catholic University of Milan, 20123 Milan, Italy.ORCID 0000-0001-8365-7697
Giuseppe RivaGeneral Psychology and Communication Psychology, Catholic University of Milan, 20123 Milan, Italy.ORCID 0000-0003-3657-106X
Cem ErsoyComputer Engineering Department, Bogazici University, Istanbul 34342, Turkey.
Boğaziçi University · TRUniversity of Milan · ITUniversity of Leeds · GB

Funding

Devlet Planlama Örgütü 2017K12-873H2020 Marie Skłodowska-Curie Actions 722022
6 · The paper itself

Abstract

Stress is an inescapable element of the modern age. Instances of untreated stress may lead to a reduction in the individual's health, well-being and socio-economic situation. Stress management application development for wearable smart devices is a growing market. The use of wearable smart devices and biofeedback for individualized real-life stress reduction interventions has received less attention. By using our unobtrusive automatic stress detection system for use with consumer-grade smart bands, we first detected stress levels. When a high stress level is detected, our system suggests the most appropriate relaxation method by analyzing the physical activity-based contextual information. In more restricted contexts, physical activity is lower and mobile relaxation methods might be more appropriate, whereas in free contexts traditional methods might be useful. We further compared traditional and mobile relaxation methods by using our stress level detection system during an eight day EU project training event involving 15 early stage researchers (mean age 28; gender 9 Male, 6 Female). Participants' daily stress levels were monitored and a range of traditional and mobile stress management techniques was applied. On day eight, participants were exposed to a 'stressful' event by being required to give an oral presentation. Insights about the success of both traditional and mobile relaxation methods by using the physiological signals and collected self-reports were provided.

Indexed as

commercial smartwatchelectrodermal activityemotion regulationheart rate variabilitymental stresspsychophysiological

Identifiers

PMID32316370
PMCPMC7349817
OpenAlexW3017000887

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.