A systematic review of methods to predict maximal oxygen uptake from submaximal, open circuit spirometry in healthy adults. Issue 2 (March 2015)

• Record Type: Journal Article
• Authors: Evans, Harrison J.L.; Ferrar, Katia E.; Smith, Ashleigh E.; Parfitt, Gaynor; Eston, Roger G.
• Is Part Of: Journal of science and medicine in sport. Volume 18:Issue 2(2015:Mar.)
• Page Start: 183
• Page End: 188
• Publication Date: 2015-03
• Subjects: Exercise tolerance -- Exercise test -- Oxygen consumption -- Regression analysis -- Predictive value of tests; Sports sciences -- Periodicals; Sports medicine -- Periodicals; Exercise -- Physiological aspects -- Periodicals; Sports -- physiology -- Periodicals; Sports Medicine -- Periodicals; Sportgeneeskunde; 617.102705
• DOI: 10.1016/j.jsams.2014.03.006
• Languages: English
• ISSNs: 1440-2440

Abstract

Abstract: Objectives: This systematic review aimed to (i) report the accuracy of submaximal exercise-based predictive equations that incorporate oxygen uptake (measured via open circuit spirometry) to predict maximal oxygen uptake ( V ˙ O 2 max ) and (ii) provide a critical reflection of the data to inform health professionals and researchers when selecting a prediction equation. Design: Systematic review. Methods: A systematic search of MEDLINE, EMBASE (via OvidSP), CINAHL, SPORTDiscus™ (via EBSCO Host) and Scopus databases was undertaken in February 2013. Studies were required to report data on healthy participants aged 18–65 y. Following tabulation of extracted data, a narrative synthesis was conducted. Results: From a total of 7597 articles screened, 19 studies were included, from which a total of 43 prediction equations were extracted. No significant difference was reported between the measured and predicted V ˙ O 2 max in 28 equations. Pearson's correlation coefficient between the predicted and measured V ˙ O 2 max ranged from r = 0.92 to r = 0.57. The variables most commonly used in predictive equations were heart rate ( n = 19) and rating of perceived exertion ( n = 24). Conclusions: Overall, submaximal exercise-based equations using open circuit spirometry to predict V ˙ O 2 max are moderately to highly accurate. The heart rate and rating of perceived exertion methods of predicting V ˙ O 2 max were of similar accuracy. Important factors to consider when selecting a predictive equation include: the level of exertion required; participant medical conditions or medications; the validation population; mode of ergometry; time and resources available for familiarisation trials; and the level of bias of the study from which equations are derived.