{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,31]],"date-time":"2026-08-31T16:24:48Z","timestamp":1788193488332,"version":"build-2803163510"},"reference-count":42,"publisher":"Wiley","issue":"3","license":[{"start":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T00:00:00Z","timestamp":1755820800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T00:00:00Z","timestamp":1755820800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["physoc.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Experimental Physiology"],"published-print":{"date-parts":[[2026,3]]},"abstract":"Abstract<\/jats:title>\n \n Measuring and monitoring individual cardiorespiratory fitness through a valid and accessible non\u2010exhaustive surrogate is required. Techniques measuring haemodynamics have shown promise, and this study aimed to optimize the predictive validity of these approaches alongside developing predictive equations. In a two\u2010study design, 8 (pilot study) and 30 (confirmation study) healthy adults completed exercise testing to assess maximal oxygen consumption () and an ischaemic occlusion test on the upper thigh to assess superficial femoral blood flow from ultrasonography and skeletal muscle oxygenation (SmO\n 2<\/jats:sub>\n ) by near\u2010infrared spectroscopy (NIRS) before, during and post\u2010cuff release. In study 1, treadmill running and a 5\u2010min 220\u00a0mmHg ischaemic cuff pressure were performed, whereas in study 2, cycling ergometry and a 3\u2010min 300\u00a0mmHg cuff pressure were applied. In study 1 and study 2,\n abs<\/jats:sub>\n and\n rel<\/jats:sub>\n were correlated to peak blood flow post\u2010cuff occlusion (\n r<\/jats:italic>\n \u00a0=\u00a00.57\u20130.84, all\n P\u00a0<\/jats:italic>\n <\u00a00.01). In study 2, several NIRS based metrics of post\u2010occlusive reactive hyperaemia were strongly correlated with\n abs<\/jats:sub>\n and\n rel<\/jats:sub>\n (all\n P\u00a0<\/jats:italic>\n <\u00a00.001). Moreover, the magnitude of oxygen desaturation during the cuff occlusion was highly significantly related to both\n abs<\/jats:sub>\n and\n rel<\/jats:sub>\n (all\n P\u00a0<\/jats:italic>\n <\u00a00.001). As an example, the SmO\n 2<\/jats:sub>\n desaturation slope was strongly associated with\n abs<\/jats:sub>\n (\n r<\/jats:italic>\n \u00a0=\u00a0\u22120.74,\n P\u00a0<\/jats:italic>\n <\u00a00.001). Finally, intercorrelations between the rate of SmO\n 2<\/jats:sub>\n desaturation during cuff occlusion and the rate of SmO\n 2<\/jats:sub>\n reoxygenation and peak skeletal muscle blood flow post\u2010cuff occlusion were observed (\n P\u00a0<\/jats:italic>\n <\u00a00.01). An ischaemic\u2010based test of skeletal muscle haemodynamic profiles could potentially be used to predict and estimate a person's fitness.\n <\/jats:p>","DOI":"10.1113\/ep092899","type":"journal-article","created":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T07:01:25Z","timestamp":1755846085000},"page":"738-750","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Optimizing the predictive validity of NIRS kinetic profiles to predict aerobic capacity from a resting skeletal muscle occlusion test"],"prefix":"10.1113","volume":"111","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0036-9716","authenticated-orcid":false,"given":"Heru Syarli","family":"Lesmana","sequence":"first","affiliation":[{"name":"Department of Sport Science University of Innsbruck Innsbruck Austria"},{"name":"Department of Sport Coaching Universitas Negeri Padang Padang Indonesia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kyohei","family":"Marume","sequence":"additional","affiliation":[{"name":"Department of Cardiovascular National Cerebral and Cardiovascular Center Suita Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Justin S.","family":"Lawley","sequence":"additional","affiliation":[{"name":"Department of Sport Science University of Innsbruck Innsbruck Austria"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2025,8,22]]},"reference":[{"key":"e_1_2_10_2_1","doi-asserted-by":"publisher","DOI":"10.1097\/00135124-200405000-00004"},{"key":"e_1_2_10_3_1","doi-asserted-by":"publisher","DOI":"10.1152\/japplphysiol.00291.2020"},{"key":"e_1_2_10_4_1","doi-asserted-by":"publisher","DOI":"10.1249\/MSS.0000000000001099"},{"key":"e_1_2_10_5_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00421-016-3442-7"},{"key":"e_1_2_10_6_1","doi-asserted-by":"publisher","DOI":"10.1152\/japplphysiol.00017.2020"},{"key":"e_1_2_10_7_1","doi-asserted-by":"publisher","DOI":"10.1113\/jphysiol.2005.085936"},{"key":"e_1_2_10_8_1","doi-asserted-by":"publisher","DOI":"10.1113\/jphysiol.2003.059287"},{"key":"e_1_2_10_9_1","doi-asserted-by":"publisher","DOI":"10.1152\/japplphysiol.00819.2015"},{"key":"e_1_2_10_10_1","doi-asserted-by":"publisher","DOI":"10.1136\/bjsm.35.6.441"},{"key":"e_1_2_10_11_1","volume-title":"Straightforward statistics for the behavioral sciences","author":"Evans J. 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