Evidence map›Paper›PMID 39275448›Full record

ArticleSensors (Basel, Switzerland)2024

The Cumulative Impacts of Fatigue during Overload Training Can Be Tracked Using Field-Based Monitoring of Running Stride Interval Correlations.

Joel Thomas Fuller, Tim Leo Atherton Doyle, Eoin William Doyle, John Bradley Arnold, Jonathan David Buckley, Jodie Anne Wills, Dominic Thewlis, Clint Ronald Bellenger

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

8 authors.

Joel Thomas FullerFaculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, NSW 2109, Australia.ORCID 0000-0002-0997-4878
Tim Leo Atherton DoyleFaculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, NSW 2109, Australia.ORCID 0000-0002-1227-6835
Eoin William DoyleFaculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, NSW 2109, Australia.ORCID 0000-0002-8618-6410
John Bradley ArnoldAlliance for Research in Exercise, Nutrition and Activity (ARENA), UniSA Allied Health and Human Performance Unit, University of South Australia, Adelaide, SA 5001, Australia.ORCID 0000-0002-1158-8917
Jonathan David BuckleyAlliance for Research in Exercise, Nutrition and Activity (ARENA), UniSA Allied Health and Human Performance Unit, University of South Australia, Adelaide, SA 5001, Australia.ORCID 0000-0003-0298-2186
Jodie Anne WillsFaculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, NSW 2109, Australia.ORCID 0000-0001-5397-4288
Dominic ThewlisCentre for Orthopaedic & Trauma Research, Adelaide Medical School, The University of Adelaide, Adelaide, SA 5000, Australia.ORCID 0000-0001-6614-8663
Clint Ronald BellengerAlliance for Research in Exercise, Nutrition and Activity (ARENA), UniSA Allied Health and Human Performance Unit, University of South Australia, Adelaide, SA 5001, Australia.ORCID 0000-0002-3871-8646

Funding

Macquarie University 94681202
6 · The paper itself

Abstract

Integrating running gait coordination assessment into athlete monitoring systems could provide unique insight into training tolerance and fatigue-related gait alterations. This study investigated the impact of an overload training intervention and recovery on running gait coordination assessed by field-based self-testing. Fifteen trained distance runners were recruited to perform 1-week of light training (baseline), 2 weeks of heavy training (high intensity, duration, and frequency) designed to overload participants, and a 10-day light taper to allow recovery and adaptation. Field-based running assessments using ankle accelerometry and online short recovery and stress scale (SRSS) surveys were completed daily. Running performance was assessed after each training phase using a maximal effort multi-stage running test-to-exhaustion (RTE). Gait coordination was assessed using detrended fluctuation analysis (DFA) of a stride interval time series. Two participants withdrew during baseline training due to changed personal circumstances. Four participants withdrew during heavy training due to injury. The remaining nine participants completed heavy training and were included in the final analysis. Heavy training reduced DFA values (standardised mean difference (SMD) = -1.44 ± 0.90;

Indexed as

FatigueGaitRunningAccelerometryAdultAthletesFemaleHumansMaleMonitoring, PhysiologicYoung Adultaccelerometryathlete performancedetrended fluctuation analysisinertial measurement unitmovement variabilitytraining load

Identifiers

PMID39275448
PMCPMC11398197

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.