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dc.contributor.authorNevill, Alan M
dc.contributor.authorMyers, Jonathan
dc.contributor.authorKaminsky, Leonard A
dc.contributor.authorArena, Ross
dc.contributor.authorMyers, Tony D
dc.date.accessioned2021-06-01T13:54:54Z
dc.date.available2021-06-01T13:54:54Z
dc.date.issued2021-05-27
dc.identifier.citationNevill, A.M., Myers, J., Kaminsky, L.A., Arena, R. and Myers, T.D. (2021) Comparing individual and population differences in VE/VCO2 slopes using centile growth curves and log-linear allometry. ERJ Open Research, 7 (3), Article Number 00088-2021. doi: 10.1183/23120541.00088-2021en
dc.identifier.issn2312-0541en
dc.identifier.doi10.1183/23120541.00088-2021en
dc.identifier.urihttp://hdl.handle.net/2436/624091
dc.description© 2021 The Authors. Published by European Respiratory Society. This is an open access article available under a Creative Commons licence. The published version can be accessed at the following link on the publisher’s website: https://doi.org/10.1183/23120541.00088-2021en
dc.description.abstractIdentifying vulnerable groups and/or individuals’ cardiorespiratory fitness (CRF) is an important challenge for clinicians/researchers alike. To quantify CRF accurately, the assessment of several variables is now standard practice including maximal oxygen uptake (VO2) and ventilatory efficiency, the latter assessed using the minute ventilation/carbon dioxide production (VE/VCO2) slope. Recently, reference values (centiles) for VE/VCO2 slopes for men and women aged 20 to 80 have been published, using cardiopulmonary exercise testing (CPX) data (treadmill protocol) from the Fitness Registry and the Importance of Exercise National Database (FRIEND Registry). In the current observational study we provide centile curves for the FRIEND Registry VE/VCO2 slopes, fitted using the generalised additive model for location, scale and shape (GAMLSS), to provide individuals with a more precise estimate of where their VE/VCO2 slopes fall within the population. We also confirm that by adopting allometric models (incorporating a log-transformation), the resulting ANCOVAs provided more normal and homoscedastic residuals, with superior goodness-of-fit using the Akaike information criterion AIC=14 671 (compared with traditional ANCOVA's AIC=15 008) that confirms allometric models are vastly superior to traditional ANCOVA models. In conclusion, providing sex-by-age centile curves rather than referring to reference tables for ventilatory efficiency (VE/VCO2 slopes) will provide more accurate estimates of where an individual's particular VE/VCO2 slope falls within the population. Also, by adopting allometric models researchers are more likely to identify real and valid inferences when analysing population/group differences in VE/VCO2 slopes.en
dc.formatapplication/pdfen
dc.languageen
dc.language.isoenen
dc.publisherEuropean Respiratory Societyen
dc.relation.urlhttps://openres.ersjournals.com/content/7/3/00088-2021en
dc.subjectventilatory efficiencyen
dc.subjectAIC goodness of fiten
dc.subjectpopulation differencesen
dc.subjectcardiorespiratory fitnessen
dc.subjectexercise testingen
dc.titleComparing individual and population differences in VE/VCO2 slopes using centile growth curves and log-linear allometryen
dc.typeJournal articleen
dc.identifier.eissn2312-0541
dc.identifier.journalERJ Open Researchen
dc.date.updated2021-05-30T12:31:25Z
dc.identifier.articlenumber00088-2021
dc.date.accepted2021-05-19
rioxxterms.funderUniversity of Wolverhamptonen
rioxxterms.identifier.projectUOW01062021ANen
rioxxterms.versionVoRen
rioxxterms.licenseref.urihttps://creativecommons.org/licenses/by-nc/4.0/en
rioxxterms.licenseref.startdate2021-06-01en
dc.source.volume7
dc.source.issue3
dc.source.beginpage1
dc.description.versionPublished online
refterms.dateFCD2021-06-01T13:53:27Z
refterms.versionFCDVoR
refterms.dateFOA2021-06-01T13:54:54Z


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