An Evaluation of Training Load Measures for Drills in Women's Collegiate Lacrosse

Int J Sports Physiol Perform. 2021 Jun 1;16(6):841-848. doi: 10.1123/ijspp.2020-0029. Epub 2021 Feb 24.

Abstract

Purpose: To statistically evaluate the internal and external load metrics in different types of lacrosse drills.

Methods: A total of 25 Division I collegiate female lacrosse players wore a heart rate monitor and a global positioning system during preseason training sessions. Seven measures determined training load, 2 internal measures and 5 external measures, across 5 different types of drills: stickwork, small-sided games, individual skills, conditioning, and team drills. Principal component analysis was used to determine which internal and external load variables were most associated with each drill type.

Results: Stickwork extracted 2 principal components, explaining 45% and 17% of the variance. Small-sided games extracted 1 principal component, explaining 51% of the variance. Individual skills extracted 2 components, explaining 39% and 22% of the variance. Conditioning extracted 2 components, explaining 44% and 24% of the variance. Team drills extracted 2 components, explaining 52% and 18% of the variance.

Conclusions: In 4 out of 5 training modes, the inclusion of both internal and external training-load measures was necessary to accurately decipher training load. For most drills, the first component is related to measures of external load, and the second component described the balance between internal and external load measures. Small-sided games extracted only external measures including the following: accelerations, total distance, and average speed. These results show that a combination of internal and external load measures is required to determine training load during certain training modes. This information can help coaches make decisions about desired training load for practice sessions.

Keywords: TRIMP; athlete monitoring; heart rate; high-intensity distance; sprint.

MeSH terms

  • Acceleration
  • Female
  • Geographic Information Systems
  • Humans
  • Physical Conditioning, Human*
  • Racquet Sports*
  • Universities