Title

Establishing Normative Data For The Special Judo Fitness Test In Female Athletes Using Systematic Review And Meta-Analysis

Keywords

Diagnostic testing; Martial arts; Sport-specific fitness; Women

Abstract

Conflicting results have been documented in the Special Judo Fitness Test (SJFT) for mean parameters of performance between male and female judo athletes matched by age and competitive level. There fore, it is debatable whether previously established norms for the SJFT prepared for men, should be adopted for use in women. The goal of this investigation was to prepare standards to allow coaches and researchers to control and evaluate training effects in female judoka. Systematic review was used to compile previously published scientific studies containing information on female judo athletes who were tested using the SJFT. The results were derived using meta-analysis and included data obtained from 11 relevant studies published between January 1997 and December 2013. Combined mean and SDs were computed based on studies containing 161 individual results from the SJFT. A 5° scale was adopted as follows: Excellent = highest 5%, Good = next highest 15%, Regular = middle 60%, Poor = next lowest 15%, and Very poor = lowest 5%. The results of the current investigation provide normative data for the SJFT for junior and senior female judoka. Classification for each of the parameters of the SJFT, including number of throws completed during the test, heart rate (HR) measured immediately after the effort, HR after a 1-minute recovery period and SJFT index, were established. This normative data can be used in the design of training programs for female judoka, as well as evaluation after training, and in preparation for competition.

Publication Date

1-1-2014

Publication Title

Journal of Strength and Conditioning Research

Volume

28

Issue

12

Number of Pages

3585-3593

Document Type

Review

Personal Identifier

scopus

DOI Link

https://doi.org/10.1519/JSC.0000000000000561

Socpus ID

84924245646 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/84924245646

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