Evidence map›Paper›PMID 26543926›Full record

ArticleProceedings of the ... ACM International Conference on Ubiquitous Computing . UbiComp (Conference)2015

cStress: Towards a Gold Standard for Continuous Stress Assessment in the Mobile Environment.

Karen Hovsepian, Mustafa al'Absi, Emre Ertin, Thomas Kamarck, Motohiro Nakajima, Santosh Kumar

Abstract read
In one paragraph

Article in Proceedings of the ... ACM International Conference on Ubiquitous Computing . UbiComp (Conference), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 103 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
103citing 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

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

  1. Pooled it
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  3. Trial
  4. Trial
  5. Efficacy of Contextually Tailored Suggestions for Physical Activity: A Micro-randomized Optimization Trial of HeartSteps.Annals of behavioral medicine : a publication of the Society of Behavioral Medicine · 2019
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  15. HealthSense: Unobtrusive Continuous Stress Monitoring Using a Novel Dual ECG-PPG Patch.... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks · 2024
    Article
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43 more citing papers are in PubMed but not listed here.

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

6 authors.

Karen HovsepianTroy University.
Mustafa al'AbsiUniversity of Minnesota Medical School.
Emre ErtinThe Ohio State University.
Thomas KamarckUniversity of Pittsburgh.
Motohiro NakajimaUniversity of Memphis.
Santosh Kumar

Funding

TRAINING U54EB020404 · NIBIB · UNIVERSITY OF MEMPHIS · PI KUMAR, SANTOSH · 2014 to 2018
$11.3M
Predicting Smoking Abstinence via Mobile Monitoring of Stress and Social ContextR01DA035502 · NIDA · UNIVERSITY OF MEMPHIS · PI KUMAR, SANTOSH · 2012 to 2014
$1.3M
NIBIB NIH HHS U54 EB020404NIDA NIH HHS R01 DA035502
6 · The paper itself

Abstract

Recent advances in mobile health have produced several new models for inferring stress from wearable sensors. But, the lack of a gold standard is a major hurdle in making clinical use of continuous stress measurements derived from wearable sensors. In this paper, we present a stress model (called

Indexed as

mobile health (mHealth)modelingStresswearable sensors

Identifiers

PMID26543926
PMCPMC4631393

What OpenQuestion holds

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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.