Skip to main content

Smartphone-Enabled Heart Rate Variability and Acute Mountain Sickness.

Mellor, A., Bakker-Dyos, J., OʼHara, J., Woods, D.R., Holdsworth, D.A. and Boos, C., 2018. Smartphone-Enabled Heart Rate Variability and Acute Mountain Sickness. Clinical Journal of Sport Medicine, 28 (1), 76-81.

Full text available as:

[img]
Preview
PDF
CJSM Ithlete Revison 1 submission 16-377_R1.1.pdf - Accepted Version
Available under License Creative Commons Attribution Non-commercial No Derivatives.

721kB

DOI: 10.1097/JSM.0000000000000427

Abstract

Copyright © 2017 Wolters Kluwer Health, Inc. All rights reserved. INTRODUCTION:: The autonomic system and sympathetic activation appears integral in the pathogenesis of acute mountain sickness (AMS) at high altitude (HA), yet a link between heart rate variability (HRV) and AMS has not been convincingly shown. In this study we investigated the utility of the smartphone-derived HRV score to predict and diagnose AMS at HA. METHODS:: Twenty-one healthy adults were investigated at baseline at 1400 m and over 10 days during a trek to 5140 m. HRV was recorded using the ithlete HRV device. RESULTS:: Acute mountain sickness occurred in 11 subjects (52.4%) at > 2650 m. HRV inversely correlated with AMS Scores (r = −0.26; 95% CI, −0.38 to −0.13: P < 0.001). HRV significantly fell at 3700, 4100, and 5140 m versus low altitude. HRV scores were lower in those with both mild (69.7 ± 14.0) and severe AMS (67.1 ± 13.1) versus those without AMS (77.5 ± 13.1; effect size n = 0.043: P = 0.007). The HRV score was weakly predictive of severe AMS (AUC 0.74; 95% CI, 0.58-0.89: P = 0.006). The change (delta) in the HRV Score (compared with baseline at 1400 m) was a moderate diagnostic marker of severe AMS (AUC 0.80; 95% CI, 0.70-0.90; P = 0.0004). A fall in the HRV score of > 5 had a sensitivity of 83% and specificity of 60% to identify severe AMS (likelihood ratio 1.9). Baseline HRV at 1400 m was not predictive of either AMS at higher altitudes. CONCLUSIONS:: The ithlete HRV score can be used to help in the identification of severe AMS; however, a baseline score is not predictive of future AMS development at HA.

Item Type:Article
ISSN:1050-642X
Group:Faculty of Health & Social Sciences
ID Code:29908
Deposited By: Symplectic RT2
Deposited On:24 Oct 2017 15:39
Last Modified:14 Mar 2022 14:07

Downloads

Downloads per month over past year

More statistics for this item...
Repository Staff Only -