The relationship between adductor squeeze strength, subjective markers of recovery and training load in elite rugby players

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Abstract

The adductor squeeze strength test has become a popular training monitoring marker, particularly in team sports. The aim of this study was to investigate the relationship between adductor squeeze strength scores, subjective markers of recovery and training load in elite Rugby Union players, because of limited research in this area. Nineteen elite male Rugby Union players completed daily monitoring markers (adductor squeeze strength and 5 selected subjective markers of recovery), over a 10-week preseason training period. Rate of perceived exertion (RPE) was collected to determine training load (session RPE; RPE × session duration) and to calculate weekly training load. Spearman’s correlation was used to analyze the relationship between adductor squeeze strength scores, subjective markers of recovery, and weekly training load. The results found that where adductor squeeze scores decreased, both perceived fatigue levels (r = -0.335; R2 = 11.2%; p < 0.001) and muscle soreness (r = -0.277; R2 = 7.7%; p < 0.001) increased. A weak correlation was found between Monday adductor squeeze strength scores and the previous week’s training load (r = -0.235; R2 = 5.5%; p < 0.001) and Friday adductor squeeze strength scores and the same week’s training load (r = -0.211; R2 = 4.5%; p < 0.05). These results show that adductor squeeze strength may provide coaches with a time-efficient, low‐cost objective, player monitoring marker. Additionally, the combination of adductor strength squeeze, with subjective markers, perceived fatigue, and muscle soreness, and appropriately planned training load may help coaches to optimize training adaptations by determining a player’s training status.

Original languageEnglish
Pages (from-to)2926-2931
Number of pages6
JournalJournal of Strength and Conditioning Research
Volume33
Issue number11
DOIs
Publication statusPublished - 2019

Keywords

  • Monitoring markers
  • On-feet training load
  • Optimizing performance
  • Training status

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