Bibliographic record
Abstract
The physical (movement) demands of athletes1Vescovi J.D. Fernandes E. Klas A. Physical demands of women's soccer matches: a perspective across the developmental spectrum.Front Sports Act Living. 2021; 3634696https://doi.org/10.3389/fspor.2021.634696Crossref Scopus (4) Google Scholar, 2Harper D.J. Carling C. Kiely J. High-intensity acceleration and deceleration demands in elite team sports competitive match play: a systematic review and meta-analysis of observational studies.Sports Med. 2019; 49: 1923-1947https://doi.org/10.1007/s40279-019-01170-1Crossref PubMed Scopus (111) Google Scholar, 3Kapteijns J.A. Caen K. Lievens M. Bourgois J.G. Boone J. Positional match running performance and performance profiles of elite female field hockey.Int J Sports Physiol Perform. 2021; 16: 1295-1302https://doi.org/10.1123/ijspp.2020-0337Crossref PubMed Google Scholar, 4Malone S. Earls M. Shovlin A. Eddy A. Winkelman N. Match-play running performance and exercise intensity in elite international women's rugby sevens. Observational study.J Strength Cond Res. 2020; 34: 1741-1749https://doi.org/10.1519/JSC.0000000000002547Crossref PubMed Scopus (8) Google Scholar, 5Bridgeman L.A. Gill N.D. The use of global positioning and accelerometer systems in age-grade and senior rugby union: a systematic review. Systematic review.Sports Med Open. 2021; 7: 15https://doi.org/10.1186/s40798-021-00305-xCrossref PubMed Scopus (0) Google Scholar and referees6Sant'anna R.T. Roberts S.P. Moore L.J. Reid A. Stokes K.A. Rugby union referees' physical and physiological demands across different competitive levels.J Sports Med Phys Fitness. 2021; 61: 788-796https://doi.org/10.23736/S0022-4707.20.11447-6Crossref PubMed Scopus (3) Google Scholar,7Birk Preissler A.A. Reichert T. Schons P. et al.External loads of elite soccer referees: a systematic review with meta-analysis.Res Sports Med. 2021; : 1-15https://doi.org/10.1080/15438627.2021.1988948Crossref PubMed Scopus (1) Google Scholar for several field sports (eg, football, rugby, field hockey, etc.) has been well documented in the literature. Published data on movement demands has grown exponentially for these sports over the past 2 decades with the advent of micro-technologies and permanent video systems that has increased the ability for data collection while simultaneously reducing turnaround time of movement tracking analysis. Lacrosse is indigenous to North America and has over 28,000 high school8NFSHSA. NFSHSA 2018-19 High school athletics participation survey. 2019.Google Scholar and 214,000 college9NCAA. NCAA Sports Sponsorship and Participation Rates Report (1956-57 through 2020-21). 2021.Google Scholar participants in the United States as well as over 70 member nations in World Lacrosse. Despite the continued growth of lacrosse domestically and internationally, there is a paucity of research describing the physical demands of this sport. To date, there are only two papers describing the physical demands of men's10Akiyama K. Sasaki T. Mashiko M. Elite male lacrosse players' match activity profile. Research support, Non-U.S. Gov't.J Sports Sci Med. 2019; 18: 290-294PubMed Google Scholar and women's11Hauer R. Tessitore A. Hauer K. Tschan H. Activity profile of international female lacrosse players.J Strength Cond Res. 2021; 35: 3207-3212https://doi.org/10.1519/JSC.0000000000003253Crossref PubMed Scopus (4) Google Scholar national teams. Akiyama and colleagues10Akiyama K. Sasaki T. Mashiko M. Elite male lacrosse players' match activity profile. Research support, Non-U.S. Gov't.J Sports Sci Med. 2019; 18: 290-294PubMed Google Scholar reported that the Japan men's team covered up to 4.5 km per match with more than two-thirds of that distance occurring below 14.4 kph during the 2014 World Championship. There were also 200 to 300 accelerations and decelerations performed per match. The Austrian women's national team covered approximately 3.4 to 4.6 km with about two-thirds of that distance below 15.0 kph,11Hauer R. Tessitore A. Hauer K. Tschan H. Activity profile of international female lacrosse players.J Strength Cond Res. 2021; 35: 3207-3212https://doi.org/10.1519/JSC.0000000000003253Crossref PubMed Scopus (4) Google Scholar highlighting some general similarities between the physical demands of men's and women's lacrosse at an elite level. The majority of papers describing physical demands of lacrosse have focused on Division I college women.12Bynum L. Snarr R.L. Myers B.J. Bunn J.A. Assessment of relationships between external load metrics and game performance in women's lacrosse.Int J Exerc Sci. 2022; 15: 488-497Google Scholar, 13Hamlet M.D. Frick M.D. Bunn J.A. High-speed running density in collegiate women's lacrosse. Observational Study.Res Sports Med. 2021; 29: 386-394https://doi.org/10.1080/15438627.2021.1917401Crossref PubMed Scopus (1) Google Scholar, 14Bunn J.A. Myers B.J. Reagor M.K. An evaluation of training load measures for drills in women's collegiate lacrosse.Int J Sports Physiol Perform. 2021; 16: 841-848https://doi.org/10.1123/ijspp.2020-0029Crossref PubMed Scopus (1) Google Scholar, 15Crouch A.K. Jiroutek M.R. Snarr R.L. Bunn J.A. Relationship between pre-training wellness scores and internal and external training loads in a Division I women's lacrosse team.J Sports Sci. 2021; 39: 1070-1076https://doi.org/10.1080/02640414.2020.1857106Crossref PubMed Scopus (1) Google Scholar, 16Fields J.B. Esco M.R. Merrigan J.J. White J.B. Jones M.T. Internal training load measures during a competitive season in collegiate women lacrosse athletes.Int J Exerc Sci. 2020; 13: 778-788Google Scholar Total distance seems to range between 4.5 to 7.0 km12Bynum L. Snarr R.L. Myers B.J. Bunn J.A. Assessment of relationships between external load metrics and game performance in women's lacrosse.Int J Exerc Sci. 2022; 15: 488-497Google Scholar,17Devine N.F. Hegedus E.J. Nguyen A.D. Ford K.R. Taylor J.B. External match load in women's collegiate lacrosse.J Strength Cond Res. 2022; 36: 503-507https://doi.org/10.1519/JSC.0000000000003451Crossref PubMed Scopus (4) Google Scholar with the potential for exceeding 8 km. High-intensity running distance was 500 to 800 m with some achieving over 1 km in a single game.5Bridgeman L.A. Gill N.D. The use of global positioning and accelerometer systems in age-grade and senior rugby union: a systematic review. Systematic review.Sports Med Open. 2021; 7: 15https://doi.org/10.1186/s40798-021-00305-xCrossref PubMed Scopus (0) Google Scholar,7Birk Preissler A.A. Reichert T. Schons P. et al.External loads of elite soccer referees: a systematic review with meta-analysis.Res Sports Med. 2021; : 1-15https://doi.org/10.1080/15438627.2021.1988948Crossref PubMed Scopus (1) Google Scholar Unfortunately, data about movement demands for other divisions of women's college lacrosse as well as any division of men's college lacrosse games are not yet available. There are currently no studies reporting on the physical demands of youth lacrosse, box lacrosse, or officials/referees at any level. Another area void of information is on the newly created discipline of lacrosse sixes, which has fewer players, smaller fields, and different rules than the traditional version of lacrosse. It is clear that there are substantial gaps in the literature that need attention and can provide valuable contributions to practitioners working in lacrosse. A challenge that all field sports encounter when quantifying movement demands is how the various metrics are defined. For example, running distances are often described across different intensities demarcated by operationally defined thresholds. The methods and thresholds applied within the lacrosse literature are varied. Some researchers have used absolute thresholds (eg, <7.2 kph, 7.2-14.4 kph, etc.)1Vescovi J.D. Fernandes E. Klas A. Physical demands of women's soccer matches: a perspective across the developmental spectrum.Front Sports Act Living. 2021; 3634696https://doi.org/10.3389/fspor.2021.634696Crossref Scopus (4) Google Scholar whereas others have used a percent of individual maximal running velocity (eg, >60% maximal sprint speed)5Bridgeman L.A. Gill N.D. The use of global positioning and accelerometer systems in age-grade and senior rugby union: a systematic review. Systematic review.Sports Med Open. 2021; 7: 15https://doi.org/10.1186/s40798-021-00305-xCrossref PubMed Scopus (0) Google Scholar to define high-intensity running. The lack of consistency makes it difficult to compare studies and evolve our understanding about the sport of lacrosse. There are obvious gaps that need to be addressed in an effort to better understand the movement demands of lacrosse. Below is a call to action with several preliminary topics that researchers and practitioners can use to help advance our knowledge about this sport.-Establish unified, yet sex-specific, velocity and acceleration thresholds for lacrosse.-Examine overall as well as peak movement demands of lacrosse players and referees in all 3 disciplines (field, sixes, and box) and across the entire developmental spectrum (youth, college, professional, and international).-Evaluate the impact of tournaments and congested schedules on match demands.-Assess the relationship between physical demands and injury risk across a season.-Explore the alignment of training and drill demands with match demands. This article is an editorial. No participants were included and so no consent was required. None
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".