Literature DB >> 24722792

A systematic review and meta-analysis of submaximal exercise-based equations to predict maximal oxygen uptake in young people.

Katia Ferrar1, Harrison Evans, Ashleigh Smith, Gaynor Parfitt, Roger Eston.   

Abstract

Many equations to predict maximal oxygen uptake (VO2max) from submaximal exercise tests have been proposed for young people, but the composition and accuracy of these equations vary greatly. The purpose of this systematic review was to analyze all submaximal exercise-based equations to predict VO2max measured via direct gas analysis for use with young people. Five databases were systematically searched in February 2013. Studies were included if they used a submaximal, exercise-based method to predict VO2max; the actual VO2max was gas analyzed; participants were younger than 18 years; and equations included at least one submaximal exercise-based variable. A meta-analysis and narrative synthesis were conducted. Sixteen studies were included. The mean equation validity statistic was strong, r = .786 (95% CI 0.747-0.819). Subgroup meta-analysis suggests exercise mode may contribute to the overall model, with running- and walking-based predictive equations reporting the highest mean r values (running r = .880; walking r = .821) and cycling the weakest (r = .743). Selection of the most appropriate equation should be guided by factors such as purpose, logistic limitations, appropriateness of the validation sample, the level of study bias, and the degree of accuracy. Suggestions regarding the most accurate equation for each exercise mode are provided.

Entities:  

Mesh:

Year:  2014        PMID: 24722792     DOI: 10.1123/pes.2013-0153

Source DB:  PubMed          Journal:  Pediatr Exerc Sci        ISSN: 0899-8493            Impact factor:   2.333


  5 in total

1.  Developing and Validating a Step Test of Aerobic Fitness among Elementary School Children.

Authors:  Rebecca M Hayes; Dylan Maldonado; Tyler Gossett; Terry Shepherd; Saurabh P Mehta; Susan L Flesher
Journal:  Physiother Can       Date:  2019       Impact factor: 1.037

2.  Unsupervised Clustering of Heartbeat Dynamics Allows for Real Time and Personalized Improvement in Cardiovascular Fitness.

Authors:  Cassandra Serantoni; Giovanna Zimatore; Giada Bianchetti; Alessio Abeltino; Marco De Spirito; Giuseppe Maulucci
Journal:  Sensors (Basel)       Date:  2022-05-24       Impact factor: 3.847

Review 3.  Validity of Submaximal Step Tests to Estimate Maximal Oxygen Uptake in Healthy Adults.

Authors:  Hunter Bennett; Gaynor Parfitt; Kade Davison; Roger Eston
Journal:  Sports Med       Date:  2016-05       Impact factor: 11.136

4.  Clustering of Health Behaviors and Cardiorespiratory Fitness Among U.S. Adolescents.

Authors:  Jacob Hartz; Leah Yingling; Colby Ayers; Joel Adu-Brimpong; Joshua Rivers; Chaarushi Ahuja; Tiffany M Powell-Wiley
Journal:  J Adolesc Health       Date:  2018-02-21       Impact factor: 5.012

5.  Validity of Estimating the Maximal Oxygen Consumption by Consumer Wearables: A Systematic Review with Meta-analysis and Expert Statement of the INTERLIVE Network.

Authors:  Pablo Molina-Garcia; Hannah L Notbohm; Moritz Schumann; Rob Argent; Megan Hetherington-Rauth; Julie Stang; Wilhelm Bloch; Sulin Cheng; Ulf Ekelund; Luis B Sardinha; Brian Caulfield; Jan Christian Brønd; Anders Grøntved; Francisco B Ortega
Journal:  Sports Med       Date:  2022-01-24       Impact factor: 11.928

  5 in total

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