dc.contributor.author | Karlsson, Ulrik Berg | |
dc.contributor.author | Vagle, Markus | |
dc.contributor.author | Wiig, Håvard | |
dc.contributor.author | Luteberget, Live Steinnes | |
dc.date.accessioned | 2023-10-24T12:11:50Z | |
dc.date.available | 2023-10-24T12:11:50Z | |
dc.date.created | 2023-06-15T17:56:45Z | |
dc.date.issued | 2023 | |
dc.identifier.citation | International Journal of Sports Physiology and Performance (IJSPP). 2023, 18(6), 603-614. | en_US |
dc.identifier.issn | 1555-0265 | |
dc.identifier.uri | https://hdl.handle.net/11250/3098421 | |
dc.description | I Brage finner du siste tekst-versjon av artikkelen, og den kan inneholde ubetydelige forskjeller fra forlagets pdf-versjon. Forlagets pdf-versjon finner du på humankinetics.com / In Brage you'll find the final text version of the article, and it may contain insignificant differences from the journal's pdf version. The definitive version is available at humankinetics.com | en_US |
dc.description.abstract | The aim of this study was to investigate (1) if there are differences in training load and intensity between the different training days within a microcycle and (2) if training load and intensity within the different training days are stable over the course of a season. Data were collected over a full season from a team in the women’s premier division in Norway. External load (total distance, high-speed-running distance, sprint distance, and the combined number of accelerations and decelerations [ACCDEC]) was assessed using a 10-Hz GPS system with a built-in accelerometer. Internal load was assessed through session rating of perceived exertion, which was multiplied with session duration (session rating of perceived exertion-load). Training days were classified in relation to their proximity to the upcoming match day (MD): MD − 4, MD − 3, MD − 2, and MD − 1. Contents on these days were standardized according to a weekly periodization model followed by the coaching staff. Differences between training days were analyzed using a linear mixed-effects model. All training days were significantly different from each other across multiple variables. ACCDEC values were highest on MD − 4 (147.5 [13.0] ACCDEC count), and all distance variables were highest on MD − 3. All measures of training load were significantly reduced from MD − 3 to MD − 2 (effect size [ES] = 1.0–4.1) and from MD − 2 to MD − 1 (ES = 1.6-4.3). A significant negative effect across the season was observed for session rating of perceived exertion-load and ACCDEC (ES = 0.8–2.1). These results provide evidence that elite female football teams can be successful in differentiating training load between training days when implementing a weekly periodization approach. | en_US |
dc.language.iso | eng | en_US |
dc.subject | team sports | en_US |
dc.subject | tactical periodization | en_US |
dc.subject | seasonal change | en_US |
dc.subject | female athlete | en_US |
dc.subject | soccer | en_US |
dc.title | Training Load Quantification in Women's Elite Football: A Season-Long Prospective Cohort Study | en_US |
dc.title.alternative | Training Load Quantification in Women's Elite Football: A Season-Long Prospective Cohort Study | en_US |
dc.type | Peer reviewed | en_US |
dc.type | Journal article | en_US |
dc.description.version | acceptedVersion | en_US |
dc.source.pagenumber | 603-614 | en_US |
dc.source.volume | 18 | en_US |
dc.source.journal | International Journal of Sports Physiology and Performance (IJSPP) | en_US |
dc.source.issue | 6 | en_US |
dc.identifier.doi | 10.1123/ijspp.2022-0272 | |
dc.identifier.cristin | 2155051 | |
dc.description.localcode | Institutt for fysisk prestasjonsevne / Department of Physical Performance | en_US |
cristin.ispublished | true | |
cristin.fulltext | postprint | |
cristin.qualitycode | 1 | |