Evidence map›Paper›PMID 29444097›Full record

ArticlePloS one2018

The effects of intensified training on resting metabolic rate (RMR), body composition and performance in trained cyclists.

Amy L Woods, Anthony J Rice, Laura A Garvican-Lewis, Alice M Wallett, Bronwen Lundy, Margot A Rogers, Marijke Welvaert, Shona Halson, Andrew McKune, Kevin G Thompson

2 registry-linked trialsAbstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 36 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 2 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.

NCT06295016 naunknown statusnot on this mapstarted 2023, after this paper: background citation

Influence of Stressors and Recovery Regulation on the Super-compensation Effect of Endurance Athletes After High-intensity Intensive Training

TypeinterventionalSponsorNational Yang Ming Chiao Tung UniversityRan2023 to 2025Enrolled158ConditionsExercise Overtraining, Stressor, PsychologicalArmsHigh-intensity intensive training, Taper
NCT06371963 completednot on this mapstarted 2022, after this paper: background citation

The Relative Energy Deficiency in Sports (REDs) in Swedish Athletes Study

TypeobservationalSponsorLinnaeus UniversityRan2022 to 2024Enrolled44ConditionsRED S, Eating Disorders
3 · Its place in the literature

Who cites it

36 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  20. Heart Rate Variability Code: Does It Exist and Can We Hack It?Bioengineering (Basel, Switzerland) · 2023
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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

10 authors.

Amy L WoodsResearch Institute for Sport and Exercise, University of Canberra, Bruce ACT, Australia.ORCID 0000-0002-2040-3398
Anthony J RiceDepartment of Physiology, Australian Institute of Sport, Bruce ACT, Australia.
Laura A Garvican-LewisResearch Institute for Sport and Exercise, University of Canberra, Bruce ACT, Australia.
Alice M WallettResearch Institute for Sport and Exercise, University of Canberra, Bruce ACT, Australia.
Bronwen LundyDepartment of Nutrition, Australian Institute of Sport, Bruce ACT, Australia.
Margot A RogersDepartment of Nutrition, Australian Institute of Sport, Bruce ACT, Australia.
Marijke WelvaertResearch Institute for Sport and Exercise, University of Canberra, Bruce ACT, Australia.
Shona HalsonDepartment of Physiology, Australian Institute of Sport, Bruce ACT, Australia.
Andrew McKuneResearch Institute for Sport and Exercise, University of Canberra, Bruce ACT, Australia.
Kevin G ThompsonResearch Institute for Sport and Exercise, University of Canberra, Bruce ACT, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRecent research has demonstrated decreases in resting metabolic rate (RMR), body composition and performance following a period of intensified training in elite athletes, however the underlying mechanisms of change remain unclear. Therefore, the aim of the present study was to investigate how an intensified training period, designed to elicit overreaching, affects RMR, body composition, and performance in trained endurance athletes, and to elucidate underlying mechanisms.

methodThirteen (n = 13) trained male cyclists completed a six-week training program consisting of a "Baseline" week (100% of regular training load), a "Build" week (~120% of Baseline load), two "Loading" weeks (~140, 150% of Baseline load, respectively) and two "Recovery" weeks (~80% of Baseline load). Training comprised of a combination of laboratory based interval sessions and on-road cycling. RMR, body composition, energy intake, appetite, heart rate variability (HRV), cycling performance, biochemical markers and mood responses were assessed at multiple time points throughout the six-week period. Data were analysed using a linear mixed modeling approach.

resultsThe intensified training period elicited significant decreases in RMR (F(5,123.36) = 12.0947, p = <0.001), body mass (F(2,19.242) = 4.3362, p = 0.03), fat mass (F(2,20.35) = 56.2494, p = <0.001) and HRV (F(2,22.608) = 6.5212, p = 0.005); all of which improved following a period of recovery. A state of overreaching was induced, as identified by a reduction in anaerobic performance (F(5,121.87) = 8.2622, p = <0.001), aerobic performance (F(5,118.26) = 2.766, p = 0.02) and increase in total mood disturbance (F(5, 110.61) = 8.1159, p = <0.001).

conclusionIntensified training periods elicit greater energy demands in trained cyclists, which, if not sufficiently compensated with increased dietary intake, appears to provoke a cascade of metabolic, hormonal and neural responses in an attempt to restore homeostasis and conserve energy. The proactive monitoring of energy intake, power output, mood state, body mass and HRV during intensified training periods may alleviate fatigue and attenuate the observed decrease in RMR, providing more optimal conditions for a positive training adaptation.

Indexed as

Basal MetabolismBicyclingBody CompositionAdultAppetiteAustraliaEnergy IntakeHeart RateHumansLinear ModelsMale

Identifiers

PMID29444097
PMCPMC5812577

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LicenceCC BY
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Registered trials

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.