{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,30]],"date-time":"2026-09-30T16:19:46Z","timestamp":1790785186230,"version":"4.1.0"},"reference-count":39,"publisher":"Human Kinetics","issue":"12","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,12,1]]},"abstract":"<jats:p><jats:italic><jats:bold>Purpose<\/jats:bold>:<\/jats:italic> The first heart-rate (HR) -variability (HRV) -derived threshold based on detrended fluctuation analysis alpha 1 (DFA a1) has shown inconsistent agreement with the gas-exchange threshold (GET). This study examined whether a custom method of computing the\u00a0first HRV threshold (HRVT<jats:sub>1<\/jats:sub>) based on individual HRV characteristics would improve agreement. <jats:italic><jats:bold>Methods<\/jats:bold>:<\/jats:italic> Fourteen participants underwent ramp incremental testing measuring gas-exchange variables and RR intervals. Comparisons were made between the oxygen consumption <jats:inline-formula\/> at the GET versus the <jats:inline-formula\/> at the standard DFA a1\u2009=\u20090.75 (HRVT<jats:sub>1s<\/jats:sub>) or a custom value (HRVT<jats:sub>1c<\/jats:sub>) based on the DFA a1 midway between the maximum seen during the early ramp incremental and 0.5. <jats:italic><jats:bold>Results<\/jats:bold>:<\/jats:italic> Mean values for GET <jats:inline-formula\/> versus HRVT<jats:sub>1s<\/jats:sub> <jats:inline-formula\/> and GET<jats:sub>HR<\/jats:sub> versus HRVT<jats:sub>1sHR<\/jats:sub> were statistically different (25.4 [3.3] vs 29.8 [6.8]\u00a0mL\u00b7kg<jats:sup>\u22121<\/jats:sup>\u00b7min<jats:sup>\u22121<\/jats:sup>, <jats:italic>P<\/jats:italic>\u2009=\u2009.01, <jats:italic>d<\/jats:italic>\u2009=\u20090.80; 131 [11] vs 146 [22]\u00a0beats\u00b7min<jats:sup>\u22121<\/jats:sup>, <jats:italic>P<\/jats:italic>\u2009=\u2009.005, <jats:italic>d<\/jats:italic>\u2009=\u20090.91). There were no statistical differences when using the HRVT<jats:sub>1c<\/jats:sub> (25.4 [3.3] vs 25.1 [5.7]\u00a0mL\u00b7kg<jats:sup>\u22121<\/jats:sup>\u00b7min<jats:sup>\u22121<\/jats:sup>, <jats:italic>P<\/jats:italic>\u2009=\u2009.77, <jats:italic>d<\/jats:italic>\u2009=\u20090.08; 131 [11] vs 132 [17]\u00a0beats\u00b7min<jats:sup>\u22121<\/jats:sup>, <jats:italic>P<\/jats:italic>\u2009=\u2009.65, <jats:italic>d<\/jats:italic>\u2009=\u20090.12). Equivalence between GET and HRVT<jats:sub>1c<\/jats:sub> <jats:inline-formula\/> was also verified. Mean maximal DFA a1 during the early ramp incremental was 1.52 (0.22) with mean HRVT<jats:sub>1c<\/jats:sub> of 1.01 (0.11). Pearson <jats:italic>r<\/jats:italic> correlation coefficients were between .67 and .70 for all GET to HRVT<jats:sub>1<\/jats:sub> comparisons. The second HRV threshold and respiratory compensation point parameters showed agreement and correlations in line with prior studies. <jats:italic><jats:bold>Conclusions<\/jats:bold>:<\/jats:italic> The HRVT<jats:sub>1c<\/jats:sub> showed stronger agreement to GET parameters than seen using the HRVT<jats:sub>1s<\/jats:sub>. It is recommended that evaluations of the HRVT<jats:sub>1<\/jats:sub> consider this approach in determining the HR and <jats:inline-formula\/> at this threshold.<\/jats:p>","DOI":"10.1123\/ijspp.2024-0143","type":"journal-article","created":{"date-parts":[[2024,9,30]],"date-time":"2024-09-30T18:37:52Z","timestamp":1727721472000},"page":"1434-1443","source":"Crossref","is-referenced-by-count":5,"title":["Improving the Agreement Between the First Heart-Rate-Variability Threshold and the Gas-Exchange Threshold"],"prefix":"10.1123","volume":"19","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8458-4709","authenticated-orcid":true,"given":"Bruce","family":"Rogers","sequence":"first","affiliation":[{"name":"College of Medicine, University of Central Florida, Orlando, FL, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3231-3445","authenticated-orcid":true,"given":"Pablo R.","family":"Fleitas-Paniagua","sequence":"additional","affiliation":[{"name":"Faculty of Kinesiology, University of Calgary, Calgary, AB, Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6460-6453","authenticated-orcid":true,"given":"Juan M.","family":"Murias","sequence":"additional","affiliation":[{"name":"College of Health and Life Sciences, Hamad Bin Khalifa University, Doha, Qatar"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"100","reference":[{"issue":"suppl 1","key":"r1","series-title":"Int J Sports Med","doi-asserted-by":"publisher","first-page":"S38","DOI":"10.1055\/s-2004-830514","article-title":"A conceptual framework for performance diagnosis and training prescription from submaximal gas exchange parameters\u2014theory and application","volume":"26","author":"Meyer T","year":"2005","unstructured":"Meyer T, Luc\u00eda A, Earnest CP, Kindermann W. 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