Evidence map›Paper›PMID 33488402›Full record

ArticleFrontiers in physiology2020

The Impact of Functional Overreaching on Post-exercise Parasympathetic Reactivation in Runners.

Clint R Bellenger, Rebecca L Thomson, Kade Davison, Eileen Y Robertson, Jonathan D Buckley

Abstract read
In one paragraph

Article in Frontiers in physiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. 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

5 authors.

Clint R BellengerAlliance for Research in Exercise, Nutrition and Activity (ARENA), Allied Health and Human Performance Unit, University of South Australia, Adelaide, SA, Australia.
Rebecca L ThomsonAlliance for Research in Exercise, Nutrition and Activity (ARENA), Allied Health and Human Performance Unit, University of South Australia, Adelaide, SA, Australia.
Kade DavisonAlliance for Research in Exercise, Nutrition and Activity (ARENA), Allied Health and Human Performance Unit, University of South Australia, Adelaide, SA, Australia.
Eileen Y RobertsonSouth Australian Sports Institute, Adelaide, SA, Australia.
Jonathan D BuckleyAlliance for Research in Exercise, Nutrition and Activity (ARENA), Allied Health and Human Performance Unit, University of South Australia, Adelaide, SA, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

While post-exercise heart rate (HR) variability (HRV) has been shown to increase in response to training leading to improvements in performance, the effect of training leading to decrements in performance (i.e., overreaching) on this parameter has been largely ignored. This study evaluated the effect of heavy training leading to performance decrements on sub-maximal post-exercise HRV. Running performance [5 km treadmill time-trial (5TTT)], post-exercise HRV [root-mean-square difference of successive normal R-R intervals (RMSSD)] and measures of subjective training tolerance (Daily Analysis of Life Demands for Athletes "worse than normal" scores) were assessed in 11 male runners following 1 week of light training (LT), 2 weeks of heavy training (HT) and a 10 day taper (T). Post-exercise RMSSD was assessed following 5 min of running exercise at an individualised speed eliciting 85% of peak HR. Time to complete 5TTT likely increased following HT (

Indexed as

athletic performanceautonomic nervous systemheart rateheart rate variabilityoverload training

Identifiers

PMID33488402
PMCPMC7820717

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.