Effects of Self-Myofascial Release on Athletes' Physical Performance: A Systematic Review.
Luis Manuel Martínez-ArandaManuel Sanz-MatesanzEzequiel David García-MantillaFrancisco Tomás González-FernándezPublished in: Journal of functional morphology and kinesiology (2024)
Therapists and strength and conditioning specialists use self-myofascial release (SMR) as an intervention tool through foam rollers or massage rollers for soft tissue massage, with the purpose of improving mobility in the muscular fascia. Moreover, the use of SMR by professional and amateur athletes during warm-ups, cool downs, and workouts can have significant effects on their physical performance attributes, such as range of motion (ROM) and strength. The purpose of this study was to analyse the literature pertaining to these types of interventions and their effects found in different physical performance attributes for athletes. A systematic search was carried out using the following databases: PUBMED, ISI Web of Science, ScienceDirect, and Cochrane, including articles up to September 2023. A total of 25 articles with 517 athletes were studied in depth. SMR seems to have acute positive effects on flexibility and range of motion, without affecting muscle performance during maximal strength and power actions, but favouring recovery perception and decreasing delayed-onset muscle soreness. Some positive effects on agility and very short-range high-speed actions were identified, as well. In conclusion, although there is little evidence of its method of application due to the heterogeneity in that regard, according to our findings, SMR could be used as an intervention to improve athletes' perceptual recovery parameters, in addition to flexibility and range of motion, without negatively affecting muscle performance.
Keyphrases
- high speed
- physical activity
- skeletal muscle
- randomized controlled trial
- atomic force microscopy
- mental health
- high school
- public health
- systematic review
- resistance training
- high resolution
- working memory
- machine learning
- mass spectrometry
- respiratory failure
- extracorporeal membrane oxygenation
- artificial intelligence