RESUMO
This investigation determined the influence of technique and experience on arm retraction force required to apprehend a non-compliant suspect. Phase-One: Nine experienced RAAF military-police completed four apprehension simulations, peak arm retraction force was measured; i) Control(CON), ii) Pressure-Point(PP), iii) Targeted-Striking(TS) and iv) 2-Person(2Per) techniques. Phase-Two: Experienced (EXP, n = 8) or Inexperienced (INEXP, n = 22) military-police completed CON, PP and Pressure-Point + Coaching(PP + C). Strength was assessed in INEXP. EXP produced more force (178.7 N ± 25.9) than INEXP during CON, but no participant successfully apprehended the suspect. All EXP were successful with PP, arm retraction force 357 N (CI: 233.7,480.2) was lower compared to CON, but no difference was observed between PP and CON for INEXP. PP + C, 82% of INEXP were successful, force declined 138.2 N (CI: 67.8,208.5) compared to CON. All EXP required PP for successful apprehension. INEXP required PP + C for apprehension success. Muscular strength had a limited relationship with arm retraction force. Practitioner summary: For law enforcement personnel, apprehension of a suspect is a critical and physically demanding task, where success is associated with muscular strength and technique. We observed success in the apprehension of a simulated suspect by military law enforcement personnel was primarily determined by participant skill and experience and not muscular strength.
Assuntos
Militares , Força Muscular , Humanos , Aptidão Física , PolíciaRESUMO
OBJECTIVE: To investigate the disparity in the specification and physiological demand of a task simulation when developed by two independent panels of experiential experts. DESIGN: Independent groups design. METHODS: Two groups of experiential experts from the Royal Australian Air Force (RAAF) worked independently to design, and then complete a simulation of a generic occupational task; the establishment of a security control point. Task duration, oxygen consumption, and cardiac frequency were measured whilst each panel completed the task simulation. Maximal acceptable work duration (MAWD) and the percentage of MAWD (%MAWD) were also calculated. Independent t-tests were used to determine differences (P < 0.05) between the measured variables. RESULTS: No differences were observed in the average oxygen consumption (1.26 ± 0.25 L min-1 and 1.28 ± 0.29 L min-1 respectively; P = 0.84), or cardiac frequency (134 ± 16.4 beats·min-1 and 125 ± 8.5 beats·min-1 respectively; P = 0.12) between Panel 1 and Panel 2. However, there was a significant difference between panels with respect to task duration (Panel 1: 15.5 ± 3.68 min; Panel 2: 34.20 ± 9.60 min; P < 0.01), and the %MAWD (Panel 1: 5.32 ± 3.17%, Panel 2: 12.15 ± 9.40%, P = 0.04). CONCLUSIONS: The physiological demand of a task simulation is dependent upon the group of experts consulted to develop the simulation. It is critical that input from a wide representation of experiential experts is considered when developing task simulations to avoid bias towards the perceptions of the experts consulted.