Evidence map›Paper›PMID 32210441›Full record

ArticlePloS one2020

Using consumer-wearable technology for remote assessment of physiological response to stress in the naturalistic environment.

Serguei V S Pakhomov, Paul D Thuras, Raymond Finzel, Jerika Eppel, Michael Kotlyar

Abstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 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

20 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  12. Towards Predicting Smoking Events for Just-in-time Interventions.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2024
    Article
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  15. Feasibility of Using an Armband Optical Heart Rate Sensor in Naturalistic Environment.Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing · 2023
    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

5 authors.

Serguei V S PakhomovDepartment of Pharmaceutical Care and Health Systems, College of Pharmacy, University of Minnesota, Twin Cities, Minnesota, United States of America.
Paul D ThurasDepartment of Psychiatry, University of Minnesota, Twin Cities, Minnesota, United States of America.
Raymond FinzelDepartment of Pharmaceutical Care and Health Systems, College of Pharmacy, University of Minnesota, Twin Cities, Minnesota, United States of America.
Jerika EppelDepartment of Experimental and Clinical Pharmacology, College of Pharmacy, University of Minnesota, Twin Cities, Minnesota, United States of America.
Michael KotlyarDepartment of Psychiatry, University of Minnesota, Twin Cities, Minnesota, United States of America.ORCID 0000-0002-3670-9930

Funding

University of Minnesota Clinical and Translational Science Institute (UMN CTSI)UL1TR002494 · NCATS · UNIVERSITY OF MINNESOTA · PI BLAZAR, BRUCE R, WEISDORF, DANIEL J · 2018 to 2022
$34.9M
NCATS NIH HHS UL1 TR002494
6 · The paper itself

Abstract

Psychosocial stress is a major risk factor for morbidity and mortality related to a wide range of health conditions and has a significant negative impact on public health. Quantifying exposure to stress in the naturalistic environment can help to better understand its health effects and identify strategies for timely intervention. The objective of the current project was to develop and test the infrastructure and methods necessary for using wearable technology to quantify individual response to stressful situations and to determine if popular and accessible fitness trackers such as Fitbit® equipped with an optical heart rate (HR) monitor could be used to detect physiological response to psychosocial stress in everyday life. The participants in this study were University of Minnesota students (n = 18) that owned a Fitbit® tracker and had at least one upcoming examination. Continuous HR and activity measurements were obtained during a 7-day observation period containing examinations self-reported by the participants. Participants responded to six ecological momentary assessment surveys per day (~ 2 hour intervals) to indicate occurrence of stressful events. We compared HR during stressful events (e.g., exams) to baseline HR during periods indicated as non-stressful using mixed effects modeling. Our results show that HR was elevated by 8.9 beats per minute during exams and by 3.2 beats per minute during non-exam stressors. These results are consistent with prior laboratory findings and indicate that consumer wearable fitness trackers could serve as a valuable source of information on exposure to psychosocial stressors encountered in the naturalistic environment.

Indexed as

Monitoring, PhysiologicWearable Electronic DevicesAccelerometryAdultExerciseFemaleFitness TrackersHeart RateHumansMalePilot ProjectsRemote Sensing TechnologyStress, PsychologicalTelephoneYoung Adult

Identifiers

PMID32210441
PMCPMC7094857

What OpenQuestion holds

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LicenceCC BY
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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.