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Treffer: Pre-training heart rate variability as a predictor of Air Force Academy completion.

Title:
Pre-training heart rate variability as a predictor of Air Force Academy completion.
Authors:
Kula Y; Department of Nursing, Faculty of Social Welfare and Health Sciences University of Haifa, Haifa, Israel., Horosov R; Department of Military Medicine, Faculty of Medicine, The Hebrew University of Jerusalem, Jerusalem, Israel., Gidron Y; Department of Nursing, Faculty of Social Welfare and Health Sciences University of Haifa, Haifa, Israel., Ekshtein A; Department of Military Medicine, Faculty of Medicine, The Hebrew University of Jerusalem, Jerusalem, Israel.; The Israeli Air Force Aeromedical Center, Medical Corps, Israeli Defense Forces, Ramat-Gan, Israel., Gordon B; Department of Military Medicine, Faculty of Medicine, The Hebrew University of Jerusalem, Jerusalem, Israel.; Medical Corps, Israeli Defense Forces, Ramat-Gan, Israel., Iversen Z; Behavioral Science Center, Israeli Defense Forces, Ramat Gan, Israel., Tehori O; The Israeli Air Force Aeromedical Center, Medical Corps, Israeli Defense Forces, Ramat-Gan, Israel., Ben-Ari O; Department of Military Medicine, Faculty of Medicine, The Hebrew University of Jerusalem, Jerusalem, Israel.; The Israeli Air Force Aeromedical Center, Medical Corps, Israeli Defense Forces, Ramat-Gan, Israel.; The Adelson School of Medicine, Ariel University, Ariel, Israel.
Source:
PloS one [PLoS One] 2025 Aug 07; Vol. 20 (8), pp. e0327406. Date of Electronic Publication: 2025 Aug 07 (Print Publication: 2025).
Publication Type:
Journal Article; Validation Study
Language:
English
Journal Info:
Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE
Imprint Name(s):
Original Publication: San Francisco, CA : Public Library of Science
MeSH Terms:
Heart Rate Determination*/statistics & numerical data , Pilots*/education , Pilots*/statistics & numerical data , Military Personnel*/education , Military Personnel*/statistics & numerical data , School Admission Criteria*/statistics & numerical data, Heart Rate/physiology ; Prospective Studies ; Electrocardiography/statistics & numerical data ; Reproducibility of Results ; Vagus Nerve/physiology ; Stress, Physiological/physiology ; Psychological Distress ; Logistic Models ; Multivariate Analysis ; Predictive Value of Tests ; Humans ; Male ; Female ; Israel ; Adolescent ; Young Adult
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Entry Date(s):
Date Created: 20250807 Date Completed: 20250812 Latest Revision: 20250812
Update Code:
20250812
PubMed Central ID:
PMC12331047
DOI:
10.1371/journal.pone.0327406
PMID:
40773446
Database:
MEDLINE

Weitere Informationen

Introduction: Operational pilots are required to perform complex tasks under high stress and uncertainty. One of the major challenges of aviation medicine is the selection of suitable candidates to serve as pilots. The vagal nerve is a crucial moderator of stress responses, and its activity (indexed by heart rate variability, HRV) reflects psycho-physiological resilience and has been shown to predict performance in various settings. However, its predictive value in pilot training has not been examined. This study examined the relationship between HRV and success in an intensive and long pilot course.
Methods: In a historical prospective study, we derived an HRV parameter (RMSSD) from a 10-second ECG of 169 male and 16 female candidates attending a 3-year pilots' course. The ECGs were performed 2-3 months before the courses. The predictive validity of other routinely obtained measures was also considered. Data were analyzed in two ways. First, we analyzed the entire sample using t-tests. Then, significant predictors of success and HRV were entered in a multivariate logistic regression. Second, we focused on a smaller sample of paired candidates (passed vs. failed), matched on significant predictors, and then examined differences in HRV between these groups using a paired t-test.
Results: High RMSSD significantly predicted the completion of the pilot course in a multivariate logistic regression. RMSSD and the selection test formula score were the only significant predictors. In the paired matched sample, candidates who passed the course had significantly higher initial HRV (M = 121.30ms) compared to those who failed (M = 84.31ms; t(25)= 1.78, p < 0.05).
Conclusion: The current study supports the predictive value of HRV for aviation selection. Given the high cost of training operational pilots and the physical and mental burdens they undergo, improved accuracy of the selection processes may be crucial.
(Copyright: © 2025 Kula et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

The authors have declared that no competing interests exist.