ArticleApplied psychophysiology and biofeedback2024
The International Performance, Resilience and Efficiency Program Protocol for the Application of HRV Biofeedback in Applied Law Enforcement Settings.
Article in Applied psychophysiology and biofeedback, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.
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Who cites it
7 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.
- Emotion Regulation and Coping in Active Military Personnel: A Systematic Review.Stress and health : journal of the International Society for the Investigation of Stress · 2025Pooled it
- Integrating Virtual Reality-Based Simulation and Biofeedback Monitoring into Vocal Training: Investigating Cognitive Mechanisms of Singing and Sensorimotor Adaptation.Applied psychophysiology and biofeedback · 2026Article
- Box breathing and prolonged exhalation reduces markers of physiological stress reactivity in response to a virtual trier social stress test.Comprehensive psychoneuroendocrinology · 2026Article
- Linking Psychophysiological Markers To Situational Performance: An EEG Study of Police Cadets during Critical Incident Simulations.Applied psychophysiology and biofeedback · 2026Article
- Coping strategies and post traumatic stress injury symptoms differ between tactical and frontline police officers: implications for health and public safety.Frontiers in psychology · 2026Article
- Physiological stress differentially impacts cognitive performance during-and memory following-simulated police encounters with persons experiencing a mental health crisis.Frontiers in psychology · 2025Article
- A trans-disciplinary approach to assessing police responses to mental heath crisis: development of the de-escalating persons in crisis competencies tool (DePICT).Frontiers in psychology · 2025Article
Corrections and comments
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Authors and funding
5 authors at 3 institutions in 3 countries.
Funding
Abstract
Law enforcement officers are routinely exposed to high-threat encounters that elicit physiological stress responses that impact health, performance, and safety. Therefore, self-regulation using evidence-based approaches is a priority in police research and practice. This paper describes a five-module heart rate variability biofeedback (HRVB) protocol that is part of a larger resilience program (the International Performance Resilience and Efficiency Program - iPREP) established in 2014. Supported by 10 years of user-informed research and development, our methods are tailored to address occupational stressors and the practical realities of training and resource availability in operational settings. Building on existing clinical methods that comprise five to six weekly sessions and up to 40-min of daily practice, our iPREP HRVB protocol is typically delivered in a condensed format across 2-3 days and is seamlessly integrated with reality-based training scenarios commonly employed in policing. By combining best practices in clinical HRVB with police-specific pedagogical frameworks, officers receive accelerated and job-relevant training to adaptively modulate autonomic responses to acute and chronic stress. Efficacy of the iPREP HRVB protocol is supported by several research studies of various methodological designs (i.e., randomized control trial, longitudinal cohort) that demonstrate immediate and sustained improvements in police performance and physiological health outcomes. We conclude with a critical appraisal of the available empirical evidence contrasting common and emerging breathing techniques proposed for use in operational policing contexts. The critical appraisal guide is intended to serve as a resource for law enforcement agencies, governing bodies, and operators when choosing appropriate and effective self-regulation training approaches.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.