Evidence map›Paper›PMID 31573919›Full record

ArticleJMIR mHealth and uHealth2019

A Biofeedback App to Instruct Abdominal Breathing (Breathing-Mentor): Pilot Experiment.

Corinna Anna Faust-Christmann, Bertram Taetz, Gregor Zolynski, Tobias Zimmermann, Gabriele Bleser

Open access · goldAbstract read
In one paragraph

Article in JMIR mHealth and uHealth, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
4.2field-weighted citation impact, top 6% 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

9 citing papers in PubMed, 19 citations in OpenAlex.

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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 at 1 institution in 1 country.

Corinna Anna Faust-ChristmannwearHEALTH, Department of Computer Science, Technische Universität Kaiserslautern, Kaiserslautern, Germany.ORCID 0000-0002-6445-797X
Bertram TaetzwearHEALTH, Department of Computer Science, Technische Universität Kaiserslautern, Kaiserslautern, Germany.ORCID 0000-0001-9921-4874
Gregor ZolynskiwearHEALTH, Department of Computer Science, Technische Universität Kaiserslautern, Kaiserslautern, Germany.ORCID 0000-0003-3513-8977
Tobias ZimmermannwearHEALTH, Department of Computer Science, Technische Universität Kaiserslautern, Kaiserslautern, Germany.ORCID 0000-0002-3754-2204
Gabriele BleserwearHEALTH, Department of Computer Science, Technische Universität Kaiserslautern, Kaiserslautern, Germany.ORCID 0000-0002-7283-8166
University of Kaiserslautern · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDeep and slow abdominal breathing is an important skill for the management of stress and pain. However, despite multiple proofs on the effectiveness of biofeedback, most breathing apps remain limited to pacing specific breathing patterns, without sensor feedback on the actual breathing behavior.

objectiveTo fill this gap, an app named Breathing-Mentor was developed. This app combines effective visualization of the instruction with biofeedback on deep abdominal breathing, based on the mobile phone's accelerometers. The aim of this pilot study was to investigate users' feedback and breathing behavior during initial contact with the app.

methodsTo reveal the possible effects of biofeedback, two versions of the mobile app were developed. Both contained the same visual instruction, but only the full version included additional biofeedback. In total, 40 untrained participants were randomly assigned to one of the two versions of the app. They had to follow the app's instructions as closely as possible for 5 min.

resultsThe group with additional biofeedback showed an increased signal-to-noise ratio for instructed breathing frequency (0.1 Hz) compared with those using visual instruction without biofeedback (F

conclusionsThis study supports the feasibility and usefulness of incorporating biofeedback in the Breathing-Mentor app to train abdominal breathing. Immediate effects on relaxation levels should, however, not be expected for untrained users.

Indexed as

AdultBiofeedback, PsychologyBreathing ExercisesFemaleHumansMaleMobile ApplicationsPilot ProjectsRelaxationbiofeedbackbreathing exercisesfeasibility studymobile healthpain managementrelaxationrespiration

Identifiers

PMID31573919
PMCPMC6792022
OpenAlexW2978894354

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.