Incorporation of heart rate variability into police tactical group small unit tactics selection

Autor: Colin Tomes, Ben Schram, Elisa Canetti, Robin Orr
Rok vydání: 2023
Předmět:
Zdroj: Physiology. 38
ISSN: 1548-9221
1548-9213
DOI: 10.1152/physiol.2023.38.s1.5763348
Popis: Objective: Police tactical group (PTG) occupational requirements are known to expose officers to high levels of physical, mental, and emotional stressors. As such, selection courses must ensure candidates are not only physically, but mentally and emotionally competent. To assess personnel for suitability likewise requires a holistic approach; wearable technologies may provide organizational decision makers additional information. Heart Rate Variability (HRV), one metric obtainable from wearable technology, has been increasingly utilized as a stress biosignal, but the value of HRV data in the context of specialist police selection remains limited. Hypothesis: Therefore, the hypothesis of this study was: can HRV analysis effectively discriminate between high and low performing candidates attending PTG selection? Methods: This study was a prospective cross-sectional study of three male PTG candidates completing a highly demanding selection course. HR and HRV were measured from 1300 – 1800 on a single day of tactical maneuver training. HRV was analysed as follows: R to R interval (RRI) length, root-mean-square of successive RRI differences (RMSSD), percentage of adjacent RR intervals varying by at least 50ms (pRR50), nonlinear short-term variability (SD1), and nonlinear long-term variability (SD2).Data: Measures of central tendency were generated; the maximum, minimum, mean, and standard deviation were reported for each HRV measure and visualized with a box plot. Results: Data from one participant appeared to skew results; the maximum values for mean RRI (Max: 709ms, Min: 580ms, Mean: 632.67±67.68ms), RMSSD (Max value: 42.3ms, Min value: 18.8ms, Mean: 26.8±13.43ms), pRR50 (Max value: 12.47%, Min value: 1.98%, Mean: 5.76±5.82%), SD1 (Max value: 29.9ms, Min value: 13.3ms, Mean: 18.93±9.50ms), and SD2 (Max value: 61.1ms, Min value: 37.5ms, Mean: 49.87±11.84ms) all occurred in the same participant. That participant also held the lowest maximum HR (138bpm), lowest mean HR (85bpm) and was the highest performer as rated by unit leadership. Conclusions: Given the potential discriminatory capacity of HRV in this context, HRV may be a valuable objective metric to support PTG candidate selection by providing objective measurements of holistic stress response. This research was supported by a PhD scholarship awarded to the lead author by Bond University. No other funding or grant from any agency in the public, commercial or not-for-profit sectors was provided or otherwise obtained. This is the full abstract presented at the American Physiology Summit 2023 meeting and is only available in HTML format. There are no additional versions or additional content available for this abstract. Physiology was not involved in the peer review process.
Databáze: OpenAIRE
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