{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,11]],"date-time":"2025-12-11T21:04:50Z","timestamp":1765487090176,"version":"3.40.5"},"reference-count":29,"publisher":"Human Kinetics","issue":"7","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,7,1]]},"abstract":"<jats:p><jats:italic><jats:bold>Purpose<\/jats:bold>:<\/jats:italic> To (1)\u00a0examine within-individual player dose\u2013response associations between selected training-load measures and changes in aerobic fitness level via submaximal exercise heart rate (HR<jats:sub>ex<\/jats:sub>%) and (2)\u00a0measure the relationships between these dose\u2013response associations with basal HR<jats:sub>ex<\/jats:sub>% (to study the influence of fitness level on dose\u2013response relationship). <jats:italic><jats:bold>Methods<\/jats:bold>:<\/jats:italic> During an in-season phase, selected training-load measures including total minutes, total distance, mechanical work (the sum number of accelerations and decelerations\u2009&gt;\u20093\u00a0m<jats:sup>2<\/jats:sup>), high metabolic load distance, and Edwards\u2019 training impulse were collected via Global Positioning System and heart-rate sensors for analyzing accumulated load. A submaximal warm-up test was used repeatedly before and after 9 phases to elicit HR<jats:sub>ex<\/jats:sub>% and track fitness changes at an individual level. <jats:italic><jats:bold>Results<\/jats:bold>:<\/jats:italic> Negative to positive extensive ranges of within-individual associations were found among players for different metrics (<jats:italic>r<\/jats:italic> = \u2212.84 to .89). The relationship between pooled HR<jats:sub>ex<\/jats:sub>% (basal fitness) and dose\u2013response correlations showed inverse very large (<jats:italic>r<\/jats:italic>\u2009=\u2009\u2212.71) and large (<jats:italic>r<\/jats:italic>\u2009=\u2009\u2212.65) values for accumulated weekly minutes and distance. However, moderate values were found for all other measures (<jats:italic>r<\/jats:italic>\u2009=\u2009\u2212.35 to \u2212.42). <jats:italic><jats:bold>Conclusions<\/jats:bold>:<\/jats:italic> Individual players show extensive different ranges of dose\u2013response associations with training measures. The dose\u2013response association is influenced by players\u2019 fitness level, and players with lower fitness levels show stronger inverse relationships with accumulated minutes and total distance.<\/jats:p>","DOI":"10.1123\/ijspp.2023-0434","type":"journal-article","created":{"date-parts":[[2024,5,20]],"date-time":"2024-05-20T18:15:51Z","timestamp":1716228951000},"page":"670-676","source":"Crossref","is-referenced-by-count":1,"title":["Monitoring Within-Individual Dose\u2013Response Relationships in Professional Soccer Players: The Importance of Fitness Level"],"prefix":"10.1123","volume":"19","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1500-0447","authenticated-orcid":true,"given":"Alireza","family":"Rabbani","sequence":"first","affiliation":[{"name":"Department of Sport Sciences, Ittihad Kalba F.C, Kalba, United Arab Emirates"},{"name":"Department of Sport Science, OFI Crete F.C, Crete, Greece"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3804-0131","authenticated-orcid":true,"given":"Giorgios","family":"Ermidis","sequence":"additional","affiliation":[{"name":"Department of Sport Science, OFI Crete F.C, Crete, Greece"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9813-2842","authenticated-orcid":true,"given":"Filipe Manuel","family":"Clemente","sequence":"additional","affiliation":[{"name":"Escola Superior Desporto e Lazer, Instituto Polit\u00e9cnico de Viana do Castelo, Viana do Castelo, Portugal"},{"name":"Sport Physical Activity and Health Research & Innovation Center, Viana do Castelo, Portugal"},{"name":"Gdansk University of Physical Education and Sport, Gda\u0144sk, Poland"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3130-355X","authenticated-orcid":true,"given":"Liam","family":"Anderson","sequence":"additional","affiliation":[{"name":"School of Sport, Exercise and Rehabilitation Sciences, University of Birmingham, Birmingham, United Kingdom"}]}],"member":"100","reference":[{"key":"r1","series-title":"Front Physiol","doi-asserted-by":"publisher","DOI":"10.3389\/fphys.2014.00073","article-title":"Monitoring training status with HR measures: do all roads lead to Rome?","volume":"5","author":"Buchheit M","year":"2014","unstructured":"Buchheit M. 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