Evidence map›Paper›PMID 39220388›Full record

ArticleFrontiers in psychology2024

Music influences performance without increasing perceived exertion during high-intensity rowing intervals: a cross-over design study.

Andrea Schittenhelm, Tom Brandt, Denny Andres, Patrick Adler, Merle T Fairhurst, Annette Schmidt

Abstract read
In one paragraph

Article in Frontiers in psychology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

1 citing paper in PubMed.

  1. 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

6 authors.

Andrea Schittenhelm *NextGenerationEU, dtec.bw Project Smart Health Lab, Faculty of Human Sciences, Institute for Sports Science, Chair of Sport Biology, University of the Bundeswehr Munich, Neubiberg, Germany.
Tom Brandt *Institute for Sports Science, University of the Bundeswehr Munich, Neubiberg, Germany.
Denny AndresInstitute for Sports Science, University of the Bundeswehr Munich, Neubiberg, Germany.
Patrick AdlerInstitute for Sports Science, University of the Bundeswehr Munich, Neubiberg, Germany.
Merle T FairhurstCentre for Tactile Internet with Human-in-the-Loop (CeTI), 6G Life, Faculty of Electrical and Computer Engineering, Technische Universität Dresden, Dresden, Germany.
Annette SchmidtNextGenerationEU, dtec.bw Project Smart Health Lab, Faculty of Human Sciences, Institute for Sports Science, Chair of Sport Biology, University of the Bundeswehr Munich, Neubiberg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: This study assessed how exposure to slow (SBM) versus fast beat music (FBM) during high-intensity rowing intervals affects performance, heart rate (HR), lactate levels, relative perceived exertion (RPE), and recovery. Methods: The A/B crossover design involved 21 participants performing 5 × 500 m rowing intervals under two conditions: FBM and SBM. Primary endpoint was the difference in total rowing time. Secondary endpoints included average HR, average RPE as well as rowing interval times, RPE, and HR per interval. For exploratory purpose, HR and lactate drop during the initial 5 min post completion was analyzed. Results: Listening to FBM resulted in significantly shorter total rowing times ( Conclusion: FBM improved performance without increasing RPE, while SBM proved superior for recovery. Systematic customization of music based on intended training stimuli holds broad potential for the competitive sports, fitness, and health sector.

Indexed as

drop in performanceheart ratepacingrecoveryself-selected music

Identifiers

PMID39220388
PMCPMC11363260

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.