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First, participants performed a multistage graded exercise test to determine physiological indicators related to endurance performance. Second, participants performed four to six 30-s high intensity running bouts to determine post-exercise blood lactate kinetics. Using a biexponential time function, lactate exchange ability (\n                      <jats:italic>\u03b3<\/jats:italic>\n                      <jats:sub>1<\/jats:sub>\n                      ), lactate removal ability (\n                      <jats:italic>\u03b3<\/jats:italic>\n                      <jats:sub>2<\/jats:sub>\n                      ), and the quantity of lactate accumulated (QLaA) were calculated from individual blood lactate recovery data.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      800\u00a0m running performance was significantly correlated with peak oxygen consumption (r\u2009=\u2009\u22120.794),\n                      <jats:italic>\u03b3<\/jats:italic>\n                      <jats:sub>1<\/jats:sub>\n                      and\n                      <jats:italic>\u03b3<\/jats:italic>\n                      <jats:sub>2<\/jats:sub>\n                      at 800\u00a0m race pace (r\u2009=\u2009\u22120.604 and \u22120.845, respectively), and QLaA at maximal running speed (r\u2009=\u2009\u22120.657).\n                      <jats:inline-formula>\n                        <jats:alternatives>\n                          <jats:tex-math>$${\\dot{\\text{V}}}$$<\/jats:tex-math>\n                          <mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\">\n                            <mml:mover>\n                              <mml:mtext>V<\/mml:mtext>\n                              <mml:mo>\u02d9<\/mml:mo>\n                            <\/mml:mover>\n                          <\/mml:math>\n                        <\/jats:alternatives>\n                      <\/jats:inline-formula>\n                      O\n                      <jats:sub>2peak<\/jats:sub>\n                      and\n                      <jats:italic>\u03b3<\/jats:italic>\n                      <jats:sub>2<\/jats:sub>\n                      at 800\u00a0m race pace explained 83% of the variance in 800\u00a0m running performance.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>Our results indicate that (1) a high capacity to exchange and remove lactate, (2) a high capacity for short-term lactate accumulation and, (3) peak oxygen consumption, are critical elements of 800\u00a0m running performance. Accordingly, while lactate has primarily been utilized as a performance indicator for long-distance running, post-exercise lactate kinetics may also prove valuable as a performance determinant in middle-distance running.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1007\/s00421-024-05504-4","type":"journal-article","created":{"date-parts":[[2024,5,18]],"date-time":"2024-05-18T07:01:50Z","timestamp":1716015710000},"page":"2951-2964","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Identifying physiological determinants of 800\u00a0m running performance using post-exercise blood lactate kinetics"],"prefix":"10.1007","volume":"124","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7106-1407","authenticated-orcid":false,"given":"Takuya","family":"Watanabe","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-7411-767X","authenticated-orcid":false,"given":"Takeru","family":"Inaba","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7290-1559","authenticated-orcid":false,"given":"Cody R.","family":"van Rassel","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0377-5800","authenticated-orcid":false,"given":"Martin J.","family":"MacInnis","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-4277-9323","authenticated-orcid":false,"given":"Katsuyuki","family":"Kakinoki","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1428-5911","authenticated-orcid":false,"given":"Hideo","family":"Hatta","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2024,5,18]]},"reference":[{"key":"5504_CR1","doi-asserted-by":"publisher","first-page":"716","DOI":"10.1109\/TAC.1974.1100705","volume":"19","author":"H Akaike","year":"1974","unstructured":"Akaike H (1974) A new look at the statistical model identification. 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