3,324
Views
24
CrossRef citations to date
0
Altmetric
Original Articles

Building the Better Mental Training Mousetrap: Is Periodization a More Systematic Approach to Promoting Performance Excellence?

, , , , &
Pages 199-219 | Received 24 Apr 2006, Accepted 01 Dec 2006, Published online: 28 Apr 2008
 

Abstract

Over the past two decades, mental skills training (MST) has experienced a tremendous surge in popularity, yet MST is not without its critics, including some athletes and coaches. Additionally, a number of concerns have arisen about mental training effectiveness, and its ability to maximize athlete development, performance, and peaking. Periodization is a systematic program development and implementation strategy that holds promise for enhancing mental training effectiveness and combating some of the problems currently limiting MST interventions. Thus, the purpose of this conceptual paper was threefold. First, periodization concepts are introduced by demonstrating how they are utilized to systematically guide physical training. Second, strategies to adapt periodization concepts to enhance mental training programs are examined, along with techniques to integrate physical and mental training, including: mental training tool and skill periodization plans and mental training drill menus. Finally, a case study is presented to illustrate how an integrated approach to periodized training that targets both physical and mental skill development can enhance the effectiveness of MST while minimizing implementation problems.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 198.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.