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Profiling the Typical Training Load of a Law Enforcement Recruit Class

Author

Listed:
  • Danny Maupin

    (Faculty of Health Sciences and Medicine, Bond University, Gold Coast, QLD 4226, Australia)

  • Ben Schram

    (Faculty of Health Sciences and Medicine, Bond University, Gold Coast, QLD 4226, Australia
    Tactical Research Unit, Bond University, Gold Coast, QLD 4226, Australia)

  • Elisa F. D. Canetti

    (Faculty of Health Sciences and Medicine, Bond University, Gold Coast, QLD 4226, Australia
    Tactical Research Unit, Bond University, Gold Coast, QLD 4226, Australia)

  • Joseph M. Dulla

    (Faculty of Health Sciences and Medicine, Bond University, Gold Coast, QLD 4226, Australia)

  • J. Jay Dawes

    (Tactical Research Unit, Bond University, Gold Coast, QLD 4226, Australia
    School of Kinesiology, Oklahoma States University, Stillwater, OK 74078, USA)

  • Robert G. Lockie

    (Tactical Research Unit, Bond University, Gold Coast, QLD 4226, Australia
    Department of Kinesiology, California State University, Fullerton, CA 92831, USA)

  • Robin M. Orr

    (Faculty of Health Sciences and Medicine, Bond University, Gold Coast, QLD 4226, Australia
    Tactical Research Unit, Bond University, Gold Coast, QLD 4226, Australia)

Abstract

Law enforcement academies, designed to prepare recruits for their prospective career, represent periods of high physical and mental stress, potentially contributing to recruits’ injuries. Managing stress via monitoring training loads may mitigate injuries while ensuring adequate preparation. However, it is vital to first understand an academy’s typical training load. The aim of this study was to profile the typical training load of law enforcement recruits over the course of 22 weeks. Data were prospectively collected using global positioning system (GPS) units placed on recruits during a portion of the academy training, while a desktop analysis was retrospectively applied to six other classes. A Bland–Altman plot was conducted to assess the agreement between the two methods. A linear mixed model was conducted to analyse the difference in distances covered per week, while other variables were presented graphically. Adequate agreement between the desktop analysis and GPS units was observed. Significant differences ( p -value < 0.01) in distance covered (9.64 to 11.65 km) exist between weeks during early academy stages, which coincide with increases (~6 h) in physical training. Significant decreases in distances were experienced during the last five weeks of academy training. Most acute:chronic workload ratios stayed between the proposed 0.8 to 1.3 optimal range. Results from this study indicate that large increases in training occur early in the academy, potentially influencing injuries. Utilizing a desktop analysis is a pragmatic and reliable approach for instructors to measure load.

Suggested Citation

  • Danny Maupin & Ben Schram & Elisa F. D. Canetti & Joseph M. Dulla & J. Jay Dawes & Robert G. Lockie & Robin M. Orr, 2022. "Profiling the Typical Training Load of a Law Enforcement Recruit Class," IJERPH, MDPI, vol. 19(20), pages 1-15, October.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:20:p:13457-:d:945653
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    References listed on IDEAS

    as
    1. Robert G. Lockie & J. Jay Dawes & Katherine Balfany & Ciara E. Gonzales & Maria M. Beitzel & Joseph M. Dulla & Robin M. Orr, 2018. "Physical Fitness Characteristics That Relate to Work Sample Test Battery Performance in Law Enforcement Recruits," IJERPH, MDPI, vol. 15(11), pages 1-12, November.
    2. Danny J. Maupin & Ben Schram & Elisa F. D. Canetti & Jay J. Dawes & Robert Lockie & Robin M. Orr, 2020. "Developing the Fitness of Law Enforcement Recruits during Academy Training," Sustainability, MDPI, vol. 12(19), pages 1-13, September.
    3. Robin Orr & Rodney Pope & Samantha Peterson & Benjamin Hinton & Michael Stierli, 2016. "Leg Power As an Indicator of Risk of Injury or Illness in Police Recruits," IJERPH, MDPI, vol. 13(2), pages 1-10, February.
    4. Kate Lyons & Cameron Radburn & Robin Orr & Rodney Pope, 2017. "A Profile of Injuries Sustained by Law Enforcement Officers: A Critical Review," IJERPH, MDPI, vol. 14(2), pages 1-21, February.
    5. Robert G. Lockie & Katherine Balfany & Ashley M. Bloodgood & Matthew R. Moreno & Karly A. Cesario & Joseph M. Dulla & J. Jay Dawes & Robin M. Orr, 2019. "The Influence of Physical Fitness on Reasons for Academy Separation in Law Enforcement Recruits," IJERPH, MDPI, vol. 16(3), pages 1-13, January.
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