Evidence map›Paper›PMID 24052191›Full record

ArticleEuropean journal of applied physiology2013

Ventilatory muscle strength, diaphragm thickness and pulmonary function in world-class powerlifters.

Peter I Brown, Heather K Venables, Hymsuen Liu, Julie T de-Witt, Michelle R Brown, Mark A Faghy

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Article in European journal of applied physiology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

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

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  12. The effects of COVID-19 on respiratory muscle performance: making the case for respiratory muscle testing and training.European respiratory review : an official journal of the European Respiratory Society · 2022
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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

6 authors.

Peter I BrownEnglish Institute of Sport, Loughborough, UK, peter.brown@eis2win.co.uk.
Heather K Venables
Hymsuen Liu
Julie T de-Witt
Michelle R Brown
Mark A Faghy

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeResistance training activates the ventilatory muscles providing a stimulus similar to ventilatory muscle training. We examined the effects of elite powerlifting training upon ventilatory muscle strength, pulmonary function and diaphragm thickness in world-class powerlifters (POWER) and a control group (CON) with no history of endurance or resistance training, matched for age, height and body mass.

methodsBody composition was assessed using single-frequency bioelectrical impedance. Maximal static volitional inspiratory (P(I,max)) and expiratory (P(E,max)) mouth pressures, diaphragm thickness (T(di)) derived from ultrasound measurements and pulmonary function from maximal flow volume loops were measured.

resultsThere were no differences in physical characteristics or pulmonary function between groups. P(I,max) (22 %, P < 0.05, effect size d = 1.13), P(E,max) (16 %, P = 0.07, effect size d = 0.86) and T(di) (27 %, P < 0.01, effect size d = 1.59) were greater in POWER than CON. Correlations were observed between both T(di) and P(I,max) (r = 0.518, P < 0.05), T(di) and P(E,max) (r = 0.671, P < 0.01) and T(di) and body mass (r = 0.502, P < 0.05).

conclusionsWe conclude that manoeuvres performed by world-class powerlifters improve ventilatory muscle strength and increases diaphragm size. Whole-body resistance training may be an appropriate training mode to attenuate the effects of ventilatory muscle weakness experienced with ageing and some disease states.

Indexed as

Muscle StrengthAdolescentAdultAthletesCase-Control StudiesDiaphragmHumansIntercostal MusclesLungMaleResistance TrainingRespiratory MechanicsUltrasonography

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Registered trials

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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.