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Shaw, Sarah; Smith, Tina; Alexanders, Jenny; Shaw, Thomas; Smith, Lois; Nevill, Alan; Anderson, Anna (2017)
Publisher: Human Kinetics
Languages: English
Types: Article
Subjects: GV1060_Track
Objective:\ud \ud To investigate half marathon runners’ frequency of use of recovery strategies, perceptions regarding the most beneficial recovery strategy and reasons for using recovery strategies.\ud \ud \ud Design:\ud \ud Cross-sectional survey.\ud \ud \ud Participants:\ud \ud 186 participants of the 13.1 mile BUPA Great North Run 2013.\ud \ud \ud Methods:\ud \ud A questionnaire was developed which required participants to indicate how frequently they used twelve different recovery strategies, identify which recovery strategy they believed to be most beneficial and rank six reasons for using recovery strategies in order of importance. Data was analysed using a Friedman non-parametric ANOVA and additional non-parametric tests.\ud \ud \ud Results:\ud \ud All participants used recovery strategies. Stretching was the most commonly used recovery strategy (p < 0.001), whereas the use of nutritional supplements was the most commonly selected most beneficial recovery strategy. Over 50% of respondents indicated that they never used strategies such as kinesio tape (80%), hydrotherapy (78%) or ice baths (71%). A significant difference was observed between reasons for using recovery strategy (χ2 (5) = 292.29, p < 0.001). Reducing muscle tightness (rank 4.87) and reducing injury (rank 4.35), were the most frequently chosen most important reasons for using recovery strategies, minor sex and age differences in the responses were identified.\ud \ud \ud Conclusion:\ud \ud Recovery strategy usage appears to be widespread among half marathon runners; however disparities exist between the frequency of use and perceived effectiveness of different recovery strategies. Further research in this area is needed to facilitate the development of recovery strategy guidelines which are both evidence-based and practically relevant.
  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

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