{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,10]],"date-time":"2026-10-10T04:29:11Z","timestamp":1791606551735,"version":"4.3.4"},"reference-count":62,"publisher":"Human Kinetics","issue":"5","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026,5,1]]},"abstract":"<jats:p>\n                    <jats:bold>\n                      <jats:italic>Purpose<\/jats:italic>\n                    <\/jats:bold>\n                    <jats:italic>:<\/jats:italic>\n                    To determine the impact of Wavelight Technology on performance and tactical and pacing behavior in 1500-m Diamond League events.\n                    <jats:bold>\n                      <jats:italic>Methods<\/jats:italic>\n                    <\/jats:bold>\n                    <jats:italic>:<\/jats:italic>\n                    A total of forty-five 1500-m Diamond League races held between 2021 and 2024 were categorized as non-Wavelight (n\u2009=\u200912) and Wavelight (n\u2009=\u200933) races. Athletes in each race were grouped by their final ranking: top 4 (T4), fifth to eighth (T8), and ninth to twelfth (T12). The 100-m section data were collected to assess athletes\u2019 section speeds, intermediate positions, and number of position changes. Additionally, finishing times and coefficient of variation of pace (CV%) were obtained for each athlete.\n                    <jats:bold>\n                      <jats:italic>Results<\/jats:italic>\n                    <\/jats:bold>\n                    <jats:italic>:<\/jats:italic>\n                    Finishing times were faster in Wavelight than non-Wavelight races across groups (\n                    <jats:italic>P<\/jats:italic>\n                    \u2009&lt;\u2009.001; 0.87 \u2264\n                    <jats:italic>d<\/jats:italic>\n                    \u2264 1.74) with lower CV% values in Wavelight races (\n                    <jats:italic>P<\/jats:italic>\n                    \u2009&lt;\u2009.001; 0.60 \u2264\n                    <jats:italic>d<\/jats:italic>\n                    \u2264 0.86). A U-shaped pacing profile was observed in T4 and T8 groups, although it was less pronounced in Wavelight races (ie, lower speed drop in the middle part, and a reduced endspurt), while T12 groups displayed a positive pacing profile, with a greater speed decrease in non-Wavelight races. There were fewer position changes in Wavelight than non-Wavelight races.\n                    <jats:bold>\n                      <jats:italic>Conclusions<\/jats:italic>\n                    <\/jats:bold>\n                    <jats:italic>:<\/jats:italic>\n                    Wavelight races were more evenly paced than non-Wavelight races, which likely resulted in lower metabolic disturbances and the superior performance observed in Wavelight versus non-Wavelight races. Optimizing pacing strategies through Wavelight technology may assist coaches and athletes in improving race execution, enhancing performance, and achieving personal bests or qualification standards for international championships.\n                  <\/jats:p>","DOI":"10.1123\/ijspp.2025-0409","type":"journal-article","created":{"date-parts":[[2026,3,4]],"date-time":"2026-03-04T02:22:49Z","timestamp":1772590969000},"page":"682-689","source":"Crossref","is-referenced-by-count":3,"title":["The Impact of Wavelight Technology on Performance and Pacing and Tactical Behavior in 1500-m Diamond League Races"],"prefix":"10.1123","volume":"21","author":[{"ORCID":"https:\/\/orcid.org\/0009-0001-5456-6339","authenticated-orcid":true,"given":"Pablo","family":"Comino","sequence":"first","affiliation":[{"name":"Research Centre in Sports Science, Rey Juan Carlos University, Madrid, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-8844-9022","authenticated-orcid":true,"given":"Maxime","family":"Walt","sequence":"additional","affiliation":[{"name":"Institute of Social Sciences, Life Course and Social Inequality Research Centre, University of Lausanne, Lausanne, Switzerland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7668-6844","authenticated-orcid":true,"given":"Arturo","family":"Casado","sequence":"additional","affiliation":[{"name":"Research Centre in Sports Science, Rey Juan Carlos University, Madrid, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"100","reference":[{"issue":"3","key":"r1","series-title":"J Appl Physiol","doi-asserted-by":"publisher","first-page":"646","DOI":"10.1152\/japplphysiol.00132.2024","article-title":"Technological advances in elite sport: where does one draw the line?","volume":"137","author":"Muniz-Pardos B","year":"2024","unstructured":"Muniz-Pardos B, Bekele K, Mayo C, Pitsiladis Y. 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