Evidence map›Paper›PMID 40346021›Full record

ArticlePhysiological reports2025

Threshold estimation in running using dynamical correlations of RR intervals.

Matias Kanniainen, Vesa Laatikainen-Raussi, Teemu Pukkila, Krista Vohlakari, Esa Hynynen, Johanna K Ihalainen, Esa Räsänen

Abstract read
In one paragraph

Article in Physiological reports, 2025. 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

7 authors.

Matias KanniainenComputational Physics Laboratory, Tampere University, Tampere, Finland.ORCID 0000-0003-2812-5879
Vesa Laatikainen-RaussiFaculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, Finland.
Teemu PukkilaComputational Physics Laboratory, Tampere University, Tampere, Finland.
Krista VohlakariFaculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, Finland.
Esa HynynenFinnish Institute of High Performance Sport KIHU, Jyväskylä, Finland.
Johanna K IhalainenFaculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, Finland.
Esa RäsänenComputational Physics Laboratory, Tampere University, Tampere, Finland.

Funding

Business Finland 1426/31/2022Elli and Elvi Oksanen Fund of the Finnish Cultural Foundation Pirkanmaa Regional Fund 50231659The European Regional Development Fund R-00083The Finnish Foundation for Cardiovascular Research 230078The Kalle Kaihari Heart Research Fund of The University of Tampere Foundation
6 · The paper itself

Abstract

We study the estimation of aerobic threshold (AeT) and anaerobic threshold (AnT) using dynamical detrended fluctuation analysis (DDFA). Conventionally, the thresholds are estimated in laboratory settings, where the subject performs an incremental exercise test on a cycloergometer or treadmill. We compared DDFA-based thresholds (DDFAT

Indexed as

Anaerobic ThresholdHeart RateRunningAdultExercise TestFemaleHumansLactic AcidMaleYoung AdultLactic Acidaerobic thresholdanaerobic thresholdexercise physiologyheart rate variability

Identifiers

PMID40346021
PMCPMC12064344

What OpenQuestion holds

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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.