{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,23]],"date-time":"2026-09-23T22:26:52Z","timestamp":1790202412986,"version":"4.1.0"},"reference-count":33,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2024,1,26]],"date-time":"2024-01-26T00:00:00Z","timestamp":1706227200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Physiol."],"abstract":"<jats:p><jats:bold>Background:<\/jats:bold> The ratio of oxygen uptake (VO<jats:sub>2<\/jats:sub>) to minute ventilation (VE) is described as the oxygen uptake efficiency slope (OUES). OUES has been suggested as a valuable submaximal cardiorespiratory index; however, its characteristics in endurance athletes remain unknown. In this study, we a) investigated OUES between different time intervals, b) assessed their prediction power for VO<jats:sub>2<\/jats:sub>peak, and c) derived new prediction equations for OUES tailored for well-trained individuals.<\/jats:p><jats:p><jats:bold>Materials and Methods:<\/jats:bold> A total of 77 male (age = 21.4 \u00b1 4.8\u00a0yrs; BMI = 22.1 \u00b1 1.6\u00a0kg\u00b7m<jats:sup>\u22122<\/jats:sup>; peak oxygen uptake = 4.40 \u00b1 0.64\u00a0L\u00b7min<jats:sup>\u22121<\/jats:sup>) and 63 female individuals (age = 23.4 \u00b1 4.3\u00a0yrs; BMI = 23.1 \u00b1 1.6\u00a0kg\u00b7m<jats:sup>\u22122<\/jats:sup>; peak oxygen uptake = 3.21 \u00b1 0.48\u00a0L\u00b7min<jats:sup>\u22121<\/jats:sup>) underwent the cycling cardiopulmonary exercise test. OUES was measured at 75%, 90%, and 100% of exercise duration. Prediction power and new models were derived with the multiple linear regression method.<\/jats:p><jats:p><jats:bold>Results:<\/jats:bold> In male subjects, OUES [mL\u00b7min<jats:sup>\u22121<\/jats:sup>\/L\u00b7min<jats:sup>\u22121<\/jats:sup>] from 75% = 4.53 \u00b1 0.90, from 90% = 4.52 \u00b1 0.91, and from 100% = 4.41 \u00b1 0.87. In female subjects, OUES [mL\u00b7min<jats:sup>\u22121<\/jats:sup>\/L\u00b7min<jats:sup>\u22121<\/jats:sup>] from 75% = 3.50 \u00b1 0.65, from 90% = 3.49 \u00b1 0.62, and from 100% = 3.41 \u00b1 0.58. OUES did not differ between time intervals in male (<jats:italic>p<\/jats:italic> = 0.65) and female individuals (<jats:italic>p<\/jats:italic> = 0.69). OUES strongly predicts peak VO<jats:sub>2<\/jats:sub> independently from the measuring interval (<jats:italic>\u03b2<\/jats:italic> = 0.71\u20130.80; <jats:italic>R<\/jats:italic><jats:sup>2<\/jats:sup> = 0.50\u20130.63). The prediction model designed for elite athletes was OUES [mL\u00b7min<jats:sup>\u22121<\/jats:sup>\/L\u00b7min<jats:sup>\u22121<\/jats:sup>] = \u22121.54 + 2.99; BSA [m<jats:sup>2<\/jats:sup>]\u20140.0014; (age [in years]; sex [1 = male, 2 = female]) (<jats:italic>R<\/jats:italic><jats:sup>2<\/jats:sup> = 0.36).<\/jats:p><jats:p><jats:bold>Conclusion:<\/jats:bold> OUES enables an accurate prediction of peak cardiorespiratory fitness in elite endurance athletes. OUES is a feasible alternative to maximal exercise testing. A new prediction equation should be used for highly trained individuals. Physicians should understand OUES physiology to properly assess the cardiorespiratory response to exercise in athletic cohorts.<\/jats:p>","DOI":"10.3389\/fphys.2024.1348307","type":"journal-article","created":{"date-parts":[[2024,1,26]],"date-time":"2024-01-26T04:38:40Z","timestamp":1706243920000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":17,"title":["Below or all the way to the peak? 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