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A Statistical Timetable for the Sub–2-Hour Marathon
INTRODUCTION: Breaking the sub–2-h marathon in an official event has attracted growing interest in recent times with commercial and international momentum building. Here it is shown that predicting how likely and when the sub–2-h barrier will be broken are statistically coupled considerations. METHO...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Lippincott Williams & Wilkins
2019
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6613719/ https://www.ncbi.nlm.nih.gov/pubmed/30817713 http://dx.doi.org/10.1249/MSS.0000000000001928 |
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author | ANGUS, SIMON D. |
author_facet | ANGUS, SIMON D. |
author_sort | ANGUS, SIMON D. |
collection | PubMed |
description | INTRODUCTION: Breaking the sub–2-h marathon in an official event has attracted growing interest in recent times with commercial and international momentum building. Here it is shown that predicting how likely and when the sub–2-h barrier will be broken are statistically coupled considerations. METHODS: Using a nonlinear limiting exponential model and calculating prediction intervals, a statistical timetable for the sub–2-h event is produced over a range of likelihoods. RESULTS: At the benchmark odds level (1 in 10, or 10% likely), the expected sub–2-h arrival time is found to be May 2032. By estimating the model for male and female world record progressions, I find that limiting marathon times for males and females (at 1 in 10) are 1 h 58 min 5 s and 2 h 5 min 31 s, respectively. These times equate to a performance gap of 2.9% and 8.6%, respectively. The male estimate has remarkable similarity (~7 s) to Joyner’s 1991 limiting human physiological estimate. Finally, I provide an estimate of the equivalent “sub–2-h” threshold for females and argue that a threshold of 130 min (“sub-130”) could be an appropriate choice. CONCLUSION: The study is the first to address all three related aspects of world record marathon performance (sub–2 h, limits, gender equivalence) in a single, unified modeling framework and provides many avenues for further exploration and insight. |
format | Online Article Text |
id | pubmed-6613719 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Lippincott Williams & Wilkins |
record_format | MEDLINE/PubMed |
spelling | pubmed-66137192019-07-22 A Statistical Timetable for the Sub–2-Hour Marathon ANGUS, SIMON D. Med Sci Sports Exerc Applied Sciences INTRODUCTION: Breaking the sub–2-h marathon in an official event has attracted growing interest in recent times with commercial and international momentum building. Here it is shown that predicting how likely and when the sub–2-h barrier will be broken are statistically coupled considerations. METHODS: Using a nonlinear limiting exponential model and calculating prediction intervals, a statistical timetable for the sub–2-h event is produced over a range of likelihoods. RESULTS: At the benchmark odds level (1 in 10, or 10% likely), the expected sub–2-h arrival time is found to be May 2032. By estimating the model for male and female world record progressions, I find that limiting marathon times for males and females (at 1 in 10) are 1 h 58 min 5 s and 2 h 5 min 31 s, respectively. These times equate to a performance gap of 2.9% and 8.6%, respectively. The male estimate has remarkable similarity (~7 s) to Joyner’s 1991 limiting human physiological estimate. Finally, I provide an estimate of the equivalent “sub–2-h” threshold for females and argue that a threshold of 130 min (“sub-130”) could be an appropriate choice. CONCLUSION: The study is the first to address all three related aspects of world record marathon performance (sub–2 h, limits, gender equivalence) in a single, unified modeling framework and provides many avenues for further exploration and insight. Lippincott Williams & Wilkins 2019-07 2019-02-26 /pmc/articles/PMC6613719/ /pubmed/30817713 http://dx.doi.org/10.1249/MSS.0000000000001928 Text en Copyright © 2019 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of the American College of Sports Medicine. This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND) (http://creativecommons.org/licenses/by-nc-nd/4.0/) , where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal. |
spellingShingle | Applied Sciences ANGUS, SIMON D. A Statistical Timetable for the Sub–2-Hour Marathon |
title | A Statistical Timetable for the Sub–2-Hour Marathon |
title_full | A Statistical Timetable for the Sub–2-Hour Marathon |
title_fullStr | A Statistical Timetable for the Sub–2-Hour Marathon |
title_full_unstemmed | A Statistical Timetable for the Sub–2-Hour Marathon |
title_short | A Statistical Timetable for the Sub–2-Hour Marathon |
title_sort | statistical timetable for the sub–2-hour marathon |
topic | Applied Sciences |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6613719/ https://www.ncbi.nlm.nih.gov/pubmed/30817713 http://dx.doi.org/10.1249/MSS.0000000000001928 |
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