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Allometric exponents for scaling running economy in human samples: A systematic review and meta-analysis
Lee, Jay1; Wang, Zhiwen2; Chen, Mingjian3; Liu, Siqi4; Yu, Qian1; Hu, Mingzhu1; Kong, Zhaowei1; Nie, Jinlei5
2024-05-30
Source PublicationHeliyon
ISSN2405-8440
Volume10Issue:10Pages:e31211
Abstract

Ratio-scaled VO2 is the widely used method for quantifying running economy (RE). However, this method should be criticized due to its theoretical defect and curvilinear relationship indicated by the allometric scaling, although no consensus has been achieved on the generally accepted exponent b value of body weight. Therefore, this study aimed to provide a quantitative synthesis of the reported exponents used to scale VO2 to body weight. Six electronic databases were searched based on related terms. Inclusion criteria involved human cardiopulmonary testing data, derived exponents, and reported precision statistics. The random-effects model was applied to statistically analyze exponent b. Subgroup and meta-regression analyses were conducted to explore the potential factors contributing to variation in b values. The probability of the true exponent being below 1 in future studies was calculated. The estimated b values were all below 1 and aligned with the 3/4 power law, except for the 95 % prediction interval of the estimated fatfree body weight exponent b. A publication bias and a slightly greater I2 and τ statistic were also observed in the fat-free body weight study cohort. The estimated probabilities of the true body weight exponent, full body weight exponent, and fat-free body weight exponent being lower than 1 were 93.8 % (likely), 95.1 % (very likely), and 94.5 % (likely) respectively. ‘Sex difference’, ‘age category’, ‘sporting background’, and ‘testing modality’ were four potential but critical variables that impacted exponent b. Overall, allometric-scaled RE should be measured by full body weight with exponent b raised to 3/4. 

KeywordAllometric Scaling Fat-free Body Weight Full Body Weight Meta-analysis Running Economy
DOI10.1016/j.heliyon.2024.e31211
URLView the original
Indexed BySCIE
Language英語English
WOS Research AreaScience & Technology - Other Topics
WOS SubjectMultidisciplinary Sciences
WOS IDWOS:001243775600001
PublisherCELL PRESS, 50 HAMPSHIRE ST, FLOOR 5, CAMBRIDGE, MA 02139
Scopus ID2-s2.0-85193440920
Fulltext Access
Citation statistics
Document TypeJournal article
CollectionFaculty of Education
Corresponding AuthorKong, Zhaowei
Affiliation1.University of Macau, Macao, China
2.College of Public Courses, Guangdong University of Science and Technology, Dongguan, China
3.School of Humanities and Education, Foshan University, Foshan, China
4.The Human Ergonomics Laboratory of 361 Degree (China) Co., Ltd, China
5.Macao Polytechnic University, Macao, China
First Author AffilicationUniversity of Macau
Corresponding Author AffilicationUniversity of Macau
Recommended Citation
GB/T 7714
Lee, Jay,Wang, Zhiwen,Chen, Mingjian,et al. Allometric exponents for scaling running economy in human samples: A systematic review and meta-analysis[J]. Heliyon, 2024, 10(10), e31211.
APA Lee, Jay., Wang, Zhiwen., Chen, Mingjian., Liu, Siqi., Yu, Qian., Hu, Mingzhu., Kong, Zhaowei., & Nie, Jinlei (2024). Allometric exponents for scaling running economy in human samples: A systematic review and meta-analysis. Heliyon, 10(10), e31211.
MLA Lee, Jay,et al."Allometric exponents for scaling running economy in human samples: A systematic review and meta-analysis".Heliyon 10.10(2024):e31211.
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