دورية أكاديمية

Validation of a series of walking and stepping tests to predict maximal oxygen consumption in adults aged 18-79 years.

التفاصيل البيبلوغرافية
العنوان: Validation of a series of walking and stepping tests to predict maximal oxygen consumption in adults aged 18-79 years.
المؤلفون: Taylor W Rowley, Chris Cho, Ann M Swartz, Young Cho, Scott J Strath
المصدر: PLoS ONE, Vol 17, Iss 2, p e0264110 (2022)
بيانات النشر: Public Library of Science (PLoS), 2022.
سنة النشر: 2022
المجموعة: LCC:Medicine
LCC:Science
مصطلحات موضوعية: Medicine, Science
الوصف: IntroductionField tests to estimate maximal oxygen consumption (VO2max) are an alternative to traditional exercise testing methods. Published field tests and their accompanying estimation equations account for up to 80% of the variance in VO2max with an error rate of ~4.5 ml.kg-1.min-1. These tests are limited to very specific age-range populations. The purpose of this study was to create and validate a series of easily administered walking and stepping field equations to predict VO2max across a range of healthy 18-79-year-old adults.MethodsOne-hundred-fifty-seven adults completed a graded maximal exercise test to assess VO2max. Five separate walking and three separate stepping tests of varying durations, number of stages, and intensities were completed. VO2max estimation equations were created using hierarchal multiple regression. Covariates including age, sex, body mass, resting heart rate, distance walked, gait speed, stepping cadence, and recovery heart rate were entered into each model using a stepwise approach. Each full model created had the same base model consisting of age, sex, and body mass. Validity of each model was assessed using a Jackknife cross-validation analysis, and percent bias and root mean square error (RMSE) were calculated.ResultsBase models accounted for ~72% of the total variance of VO2max. Full model variance ranged from ~79-83% and bias was minimal (ConclusionAll eight models accounted for a large percentage of VO2max variance (~81%) with a RMSE of ~4.5 ml.kg-1.min-1. The variance and level of error of models examined highlight good group mean prediction with greater error expected at the individual level. All the models perform similarly across a broad age range, highlighting flexibility in application of these tests to a more general population.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 1932-6203
Relation: https://doaj.org/toc/1932-6203
DOI: 10.1371/journal.pone.0264110
URL الوصول: https://doaj.org/article/faa844adcd84422a97e79ac6dbacabec
رقم الأكسشن: edsdoj.faa844adcd84422a97e79ac6dbacabec
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:19326203
DOI:10.1371/journal.pone.0264110