Dennien, Brad

Orr, Rob Marc

Robinson, Jeremy

Schram, Ben

English

Tactical personnel are required to carry external loads as part of their everyday occupation. This load carriage can come with increased risk of injury or degradation of individual performance. To ensure these risks are minimized tactical personnel are routinely required to meet strict aerobic and anaerobic requirements. The aim of this study was to investigate the predictive relationship between a variety offitness parameters and load carriage performance utilizing a modified predictive equation

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Bond UniversityResearch RepositoryUse of a modified load carriage predictive equation to identify specialist police candidates atgreater risk of injury and selection failureDennien, Brad; Robinson, Jeremy ; Schram, Ben; Orr, Rob MarcPublished: 11/02/2020Document Version:Peer reviewed versionLink to publication in Bond University research repository.Recommended citation(APA):Dennien, B., Robinson, J., Schram, B., & Orr, R. M. (2020). Use of a modified load carriage predictive equationto identify specialist police candidates at greater risk of injury and selection failure. Poster session presented at5th International Congress on Soldiers' Physical Performance, Quebec, Canada.General rightsCopyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright ownersand it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights.For more information, or if you believe that this document breaches copyright, please contact the Bond University research repositorycoordinator.Download date: 12 Apr 2020Use of a modified load carriage predictive equation to identify specialist police candidates at greater risk of injury and selection failure Bradley Denniena, Jeremy Robinsonb, Ben Schrama,c & Robin Orra,caFaculty of Health Sciences and Medicine, Bond University; bAustralian Federal Police, ACT, AustraliacTactical Research Unit, Bond University, Queensland, Australia; Methods• Retrospective data were collected from 18 specialist tactical police officer candidates attending a selection course within an Australian law enforcement agency • Baseline data were provided for 20-meter Multi-Stage Fitness Test (20m-MSFT) performance (converted to est. VO2max), time to complete a 10 km pack march carrying a load of 25 kg in a backpack and 3.5 kg in the hands, the 10 km pack march course terrain profile, and outcomes (pass or fail) of the candidate on the tactical police selection course. • Baseline data were then entered into a load carriage energy cost equation, modified to account for loads in the hands and on the feet, to determine the % of VO2max work effort (Figure 1) and scored on a risk matrix for load carriage (Table 1) based on earlier work by Orr and Pope [1].Results• Descriptive results from the outcome measures are shown in Table 2.• Of the 18 participants, 11 passed the selection course (mean height =181.36 ± 5.35 cm: mean weight=85.36 ±6.65 kg) while seven (mean height=187.42 ± 4.5 cm: mean weight=95.85 ± 7.44 kg) failed. • Seven participant’s work efforts exceeded a predicted work effort of 60% VO2max and of these seven, five failed the selection course. Likewise, 71% of those who were considered to be at moderate risk or higher were injured (Figure 2). ConclusionModified load carriage equations may be of use in identifying specialist candidates at a greater risk of physical injury and subsequent selection course failure.Introduction• Tactical personnel are required to carry external loads as part of their everyday occupation. [1] • This load carriage can increase risk of injury and degrade individual performance. [1]• Tactical personnel are routinely required to meet strict aerobic fitness requirements. [2] Contact: rorr@bond.edu.auOperational RelevanceModified load carriage equations, like the one proposed in this program of research, may augment initial selection processes to identify specialist candidates at a greater risk of injury and selection failure.References:1. Orr, R.M. and R. Pope, Load Carriage: An Integrated Risk Management Approach. Journal of strength and conditioning research, 2015. 29 Suppl 11: p. S1192. Maupin, D., et al., Fitness Profiles in Elite Tactical Units: A Critical Review. International Journal of Exercise Science, 2018. 11(3): p. 1041-1062.3. Orr, R., et al., Advanced Tactical Load Assessment System for Assessing Risk or the Performance Impacts of Soldier Load Carriage. 2017, Bond University AGIS Report.4. Soule, R.G. and R.F. Goldman, Terrain coefficients for energy cost prediction. J Appl Physiol, 1972. 32(5): p. 706-708.5. Pandolf, K.B., B. Givoni, and R.F. Goldman, Predicting energy expenditure with loads while standing or walking very slowly. Journal of Applied Physiology, 1977. 43(4): p. 577-581.6. Givoni, B. and R.F. Goldman, Predicting metabolic energy cost. Journal of applied physiology, 1971. 30(3): p. 429.Purpose• The aim of this study was to investigate whether a modified predictive equation, based on aerobic fitness and load carriage event parameters, could predict risk of injury during a load carriage event.Table 1: Risk Level Matrix derived of the international Risk Management Framework.Figure 1: The modified predictive equation: This equation was proposed by Orr et al. [3] and is based on the work from Soule and Goldman [4], Pandolf et al. [5] and Givoni and Goldman’s [6] through employing key elements from this previous research.Figure 2: Candidate predicted VO2max work effort based on the modified equation and their selection success. Red markers indicate course failure. The black marker indicates self-withdrawal.Table 2: Descriptive data of all measures

Use of a modified load carriage predictive equation to identify specialist police candidates at greater risk of injury and selection failure

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Use of a modified load carriage predictive equation to identify specialist police candidates at greater risk of injury and selection failure

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