Evidence map›Paper›PMID 33897530›Full record

ArticleFrontiers in psychology2021

Improving on Half-Lightweight Male Judokas' High Performance by the Application of the Analytic Network Process.

Sugoi Uriarte Marcos, Raúl Rodríguez-Rodríguez, Juan-José Alfaro-Saiz, Eduardo Carballeira, Maier Uriarte Marcos

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Article in Frontiers in psychology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Sugoi Uriarte MarcosDoctorate School, Universitat Politècnica de València, Valencia, Spain.
Raúl Rodríguez-RodríguezDepartment of Enterprises Management, Universitat Politècnica de València, Valencia, Spain.
Juan-José Alfaro-SaizDepartment of Enterprises Management, Universitat Politècnica de València, Valencia, Spain.
Eduardo CarballeiraPerformance and Health Group, Department of Physical Education and Sport Science, University of A Coruña, A Coruña, Spain.
Maier Uriarte MarcosFaculty of Psychology and Education, University of Deusto, Bilbao, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Judo is a multifactorial sport where many variables or key performance indicators (KPIs) such as force-velocity profile, bioenergetic capacity, technical and tactical skills, and cognitive and emotional competence play a role and influence the final result. While there have been many academic studies of these variables, usually in isolation, none have examined KPIs holistically or analyzed their impact on strategic performance. The main objective of the present study, therefore, is to apply a novel and easily replicable methodology to identify and prioritize the main KPIs affecting performance in professional judo. Such a methodology was applied to the High-Performance Judo Centre of Valencia, using a multi-criteria decision aid technique: the analytic network process (ANP). The ANP is used to identify and quantify cause and effect relationships not only between KPIs but also between KPIs and performance objectives. Further, the ANP offers effective results when there is a lack of historical KPI data, because it is based on experts' opinions and judgments. A judo expert group (JEG) comprising elite judo coaches and half-lightweight (under 66 kg) male judokas applied the methodology to discriminate between the characteristics required when aiming to reach high-level strategic objectives (such as participating in the Olympic Games or winning a medal in a Grand Slam/Gran Prix). The JEG, which consisted of five elite judokas, national and international champions, and three Olympic coaches-including a former European champion and silver medalist in a world championship-provided high added value to the study. The main findings were that the KPIs that made the most difference were mostly psychological, specifically motivation, stress, and team cohesion. Of these, motivation was by far the most important KPI for success in our case study, so judokas should make sure that they analyze it properly. Motivation is usually intrinsic to the competitor and should be maintained at a high level, not only during tournaments but also during daily training and lifestyle activities. Physical and other specific forms of training, as well as lifestyle KPIs, are very important for the elite competitor but are not sufficient to reach high-level objectives. The most important of these KPIs were Kumi-Kata (grip work), dual career, focus and concentration level, scouting, nutrition, and basic technique. Power and strength were the most important physical KPIs. In general, these are essential for meeting strategic objectives, but they do not make the crucial difference. This suggests that professional psychological support should be provided in daily training and that international team composition and internships should be fostered.

Indexed as

analytic network processjudokey performance indicatorsperformance improvementspsychology skills

Identifiers

PMID33897530
PMCPMC8058178

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.