An evaluation of the training determinants of marathon performance: A meta-analysis with meta-regression.

Endurance training [MeSH] Exercise [MeSH] Marathon Physical endurance [MeSH] Physical fitness [MeSH] Running [MeSH]

Journal

Journal of science and medicine in sport
ISSN: 1878-1861
Titre abrégé: J Sci Med Sport
Pays: Australia
ID NLM: 9812598

Informations de publication

Date de publication:
Feb 2020
Historique:
received: 27 12 2018
revised: 29 03 2019
accepted: 17 09 2019
pubmed: 11 11 2019
medline: 25 6 2020
entrez: 10 11 2019
Statut: ppublish

Résumé

Marathoners rely on expert-opinion and the anecdotal advice of their peers when devising their training plans for an upcoming race. The accumulation of results from multiple scientific studies has the potential to clarify the precise training requirements for the marathon. The purpose of the present study was to perform a systematic review, meta-analysis and meta-regression of available literature to determine if a dose-response relationship exists between a series of training behaviours and marathon performance. Systematic review, meta-analysis and meta-regression. A systematic search of multiple literature sources was undertaken to identify observational and interventional studies of elite and recreational marathon (42.2km) runners. Eighty-five studies which included 137 cohorts of runners (25% female) were included in the meta-regression, with average weekly running distance, number of weekly runs, maximum running distance completed in a single week, number of runs ≥32km completed in the pre-marathon training block, average running pace during training, distance of the longest run and hours of running per week used as covariates. Separately conducted univariate random effects meta-regression models identified a negative statistical association between each of the above listed training behaviours and marathon performance (R These data can be used by athletes and coaches to inform the development of marathon training regimes that are specific to a given target finish time.

Identifiants

pubmed: 31704026
pii: S1440-2440(18)31310-0
doi: 10.1016/j.jsams.2019.09.013
pii:
doi:

Types de publication

Journal Article Meta-Analysis Systematic Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

182-188

Informations de copyright

Copyright © 2019 Sports Medicine Australia. Published by Elsevier Ltd. All rights reserved.

Auteurs

Cailbhe Doherty (C)

Insight Centre for Data Analytics, University College Dublin, Ireland; School of Public Health, Physiotherapy and Population Science, University College Dublin, Dublin, Ireland. Electronic address: Cailbhe.doherty@insight-centre.org.

Alison Keogh (A)

Insight Centre for Data Analytics, University College Dublin, Ireland; School of Public Health, Physiotherapy and Population Science, University College Dublin, Dublin, Ireland.

James Davenport (J)

Insight Centre for Data Analytics, University College Dublin, Ireland; School of Public Health, Physiotherapy and Population Science, University College Dublin, Dublin, Ireland.

Aonghus Lawlor (A)

Insight Centre for Data Analytics, University College Dublin, Ireland.

Barry Smyth (B)

Insight Centre for Data Analytics, University College Dublin, Ireland.

Brian Caulfield (B)

Insight Centre for Data Analytics, University College Dublin, Ireland; School of Public Health, Physiotherapy and Population Science, University College Dublin, Dublin, Ireland.

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Classifications MeSH