JOURNAL ARTICLE

Effects of stretching on muscle strength, endurance, and power performance: A systematic review and meta-analysis.

  • Published In: Isokinetics & Exercise Science, 2024, v. 32, n. 3. P. 181 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: dos Reis, Alex Lopes; de Oliveira, Laís Campos; de Souza, Amanda Yasmin Vieira; Stabelini Neto, Antonio; de Oliveira, Raphael Gonçalves 3 of 3

Abstract

This article systematically reviews and meta-analyzes the acute and chronic effects of four main types of stretching—static, dynamic, proprioceptive neuromuscular facilitation (PNF), and ballistic—on muscle strength, power, and endurance in young adults. Findings indicate that acute dynamic stretching enhances muscle power and is preferable before activities requiring strength and power, while acute static stretching, especially when performed for 60 seconds or more and at low intensity shortly before activity, may impair performance. Long-term static stretching appears to moderately increase muscle strength, and long-term dynamic stretching significantly improves muscle power. PNF stretching acutely reduces muscular endurance and should be avoided before endurance activities, whereas evidence on ballistic stretching remains limited and inconclusive. The review highlights the generally low methodological quality of included studies and calls for more rigorous, detailed research to clarify stretching’s effects on muscle performance.

Additional Information

  • Source:Isokinetics & Exercise Science. 2024/09, Vol. 32, Issue 3, p181
  • Document Type:Article
  • Subject Area:Anatomy and Physiology
  • Publication Date:2024
  • ISSN:0959-3020
  • DOI:10.3233/IES-220120
  • Accession Number:178180567
  • Copyright Statement:Copyright of Isokinetics & Exercise Science is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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