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Mental Load and Fatigue Assessment Instruments: A Systematic Review

Author

Listed:
  • Jesús Díaz-García

    (Faculty of Sport Sciences, University of Extremadura, 10003 Cáceres, Spain)

  • Inmaculada González-Ponce

    (Faculty of Education, University of Extremadura, 06006 Badajoz, Spain)

  • José Carlos Ponce-Bordón

    (Faculty of Sport Sciences, University of Extremadura, 10003 Cáceres, Spain)

  • Miguel Ángel López-Gajardo

    (Faculty of Sport Sciences, University of Extremadura, 10003 Cáceres, Spain)

  • Iván Ramírez-Bravo

    (Faculty of Sport Sciences, University of Extremadura, 10003 Cáceres, Spain)

  • Ana Rubio-Morales

    (Faculty of Sport Sciences, University of Extremadura, 10003 Cáceres, Spain)

  • Tomás García-Calvo

    (Faculty of Sport Sciences, University of Extremadura, 10003 Cáceres, Spain)

Abstract

Mental load and fatigue are important causes of performance decreases and accidents in different activities. However, a robust systematic review, detailing the instruments used to quantify them, is currently lacking. The purpose of this study was to summarize and classify by derivations the validated instruments used to quantify mental load and fatigue. The most representative electronic databases in the scope of this review, PubMed, WOS, Scopus, SPORTDiscus, and PsycINFO (until September 2020) were searched for studies that included instruments to analyze mental load and fatigue. The quality of the selected studies was scored using a quality assessment checklist. A total of 40 papers were included. Most of the papers used subjective scales (75%) to quantify mental load and fatigue, with a small presence of behavioral ( n = 5) and objective techniques ( n = 5). Less is known about the analysis of mental load and fatigue using a combination of derivations. Despite the high cost and complexity of objective techniques, research that applies these measures is important for further analysis of brain processes in mental load and fatigue. The design of a battery of tests that include the three types of derivations also seems necessary.

Suggested Citation

  • Jesús Díaz-García & Inmaculada González-Ponce & José Carlos Ponce-Bordón & Miguel Ángel López-Gajardo & Iván Ramírez-Bravo & Ana Rubio-Morales & Tomás García-Calvo, 2021. "Mental Load and Fatigue Assessment Instruments: A Systematic Review," IJERPH, MDPI, vol. 19(1), pages 1-16, December.
    • Handle: RePEc:gam:jijerp:v:19:y:2021:i:1:p:419-:d:715263
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    References listed on IDEAS

    as
    1. Li-Ling Chuang & Yu-Fen Chuang & Miao-Ju Hsu & Ying-Zu Huang & Alice M K Wong & Ya-Ju Chang, 2018. "Validity and reliability of the Traditional Chinese version of the Multidimensional Fatigue Inventory in general population," PLOS ONE, Public Library of Science, vol. 13(5), pages 1-18, May.
    2. David Moher & Alessandro Liberati & Jennifer Tetzlaff & Douglas G Altman & The PRISMA Group, 2009. "Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement," PLOS Medicine, Public Library of Science, vol. 6(7), pages 1-6, July.
    3. Alessandro Liberati & Douglas G Altman & Jennifer Tetzlaff & Cynthia Mulrow & Peter C Gøtzsche & John P A Ioannidis & Mike Clarke & P J Devereaux & Jos Kleijnen & David Moher, 2009. "The PRISMA Statement for Reporting Systematic Reviews and Meta-Analyses of Studies That Evaluate Health Care Interventions: Explanation and Elaboration," PLOS Medicine, Public Library of Science, vol. 6(7), pages 1-28, July.
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