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: 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 abstract-type="author" id="abs0005"> <title id="sect0005">Abstract</title> <sec> <title id="sect0010">Objectives</title> <p id="spar0005">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 (<inline-formula><alternatives><inline-graphic xlink:href="ark:/27927/pgj3wfpg35" xlink:type="simple" xmlns:xlink="http://www.w3.org/1999/xlink" /><mml:math altimg="si1.gif" overflow="scroll" id="d13e125" xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mrow><mml:mover accent="true"><mml:mi>V</mml:mi><mml:mo>˙</mml:mo></mml:mover><mml:msub><mml:mtext>O</mml:mtext><mml:mrow><mml:mn>2</mml:mn><mml:mtext> </mml:mtext><mml:mtext>max</mml:mtext></mml:mrow></mml:msub></mml:mrow></mml:math></alternatives></inline-formula>) and (ii) provide a critical reflection of the data to inform health professionals and researchers when selecting a prediction equation.</p> </sec> <sec> <title id="sect0015">Design</title> <p id="spar0045">Systematic review.</p> </sec> <sec> <title id="sect0020">Methods</title> <p id="spar0010">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.</p> </sec> <sec> <title id="sect0025">Results</title> <p id="spar0015">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 <inline-formula><alternatives><inline-graphic xlink:href="ark:/27927/pgj3wfpcjf" xlink:type="simple" xmlns:xlink="http://www.w3.org/1999/xlink" /><mml:math altimg="si2.gif" overflow="scroll" id="d13e160" xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mrow><mml:mover accent="true"><mml:mi>V</mml:mi><mml:mo>˙</mml:mo></mml:mover><mml:msub><mml:mtext>O</mml:mtext><mml:mrow><mml:mn>2</mml:mn><mml:mtext> </mml:mtext><mml:mtext>max</mml:mtext></mml:mrow></mml:msub></mml:mrow></mml:math></alternatives></inline-formula> in 28 equations. Pearson's correlation coefficient between the predicted and measured <inline-formula><alternatives><inline-graphic xlink:href="ark:/27927/pgj3wfpcph" xlink:type="simple" xmlns:xlink="http://www.w3.org/1999/xlink" /><mml:math altimg="si3.gif" overflow="scroll" id="d13e178" xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mrow><mml:mover accent="true"><mml:mi>V</mml:mi><mml:mo>˙</mml:mo></mml:mover><mml:msub><mml:mtext>O</mml:mtext><mml:mrow><mml:mn>2</mml:mn><mml:mtext> </mml:mtext><mml:mtext>max</mml:mtext></mml:mrow></mml:msub></mml:mrow></mml:math></alternatives></inline-formula> ranged from <italic>r</italic> = 0.92 to <italic>r</italic> = 0.57. The variables most commonly used in predictive equations were heart rate (<italic>n</italic> = 19) and rating of perceived exertion (<italic>n</italic> = 24).</p> </sec> <sec> <title id="sect0030">Conclusions</title> <p id="spar0020">Overall, submaximal exercise-based equations using open circuit spirometry to predict <inline-formula><alternatives><inline-graphic xlink:href="ark:/27927/pgj3wfpf88" xlink:type="simple" xmlns:xlink="http://www.w3.org/1999/xlink" /><mml:math altimg="si4.gif" overflow="scroll" id="d13e227" xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mrow><mml:mover accent="true"><mml:mi>V</mml:mi><mml:mo>˙</mml:mo></mml:mover><mml:msub><mml:mtext>O</mml:mtext><mml:mrow><mml:mn>2</mml:mn><mml:mtext> </mml:mtext><mml:mtext>max</mml:mtext></mml:mrow></mml:msub></mml:mrow></mml:math></alternatives></inline-formula> are moderately to highly accurate. The heart rate and rating of perceived exertion methods of predicting <inline-formula><alternatives><inline-graphic xlink:href="ark:/27927/pgj3wfpgfb" xlink:type="simple" xmlns:xlink="http://www.w3.org/1999/xlink" /><mml:math altimg="si5.gif" overflow="scroll" id="d13e245" xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mrow><mml:mover accent="true"><mml:mi>V</mml:mi><mml:mo>˙</mml:mo></mml:mover><mml:msub><mml:mtext>O</mml:mtext><mml:mrow><mml:mn>2</mml:mn><mml:mtext> </mml:mtext><mml:mtext>max</mml:mtext></mml:mrow></mml:msub></mml:mrow></mml:math></alternatives></inline-formula> 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.</p> </sec> </abstract>