Heart rate variability during two sequential mountaineering expeditions

Tryliskyy, Yegor

doi:10.1016/j.tmaid.2011.05.001

Cited by 2 publications

(14 citation statements)

References 13 publications

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“…Table 4 summarizes the characteristics of HRV analysis methods used in the 34 empirical studies. Seventeen studies reported the HRV measurement period to be during the intervention [34,[36][37][38][39][40][41]43,44,48,49,51,53,54,58], and 17 studies reported the measurement period as pre-post-intervention [28,31,33,35,[45][46][47]49,50,52,[54][55][56][57]60,62]. Interventions had a wide range of exposure times, ranging from six minutes [40] up to eighty days [45].…”

Section: Hrv Analysis Methods Usedmentioning

confidence: 99%

“…Only six studies involved exposure time from 50 min to four hours [31,33,49,52,56], and three studies involved two to three days of exposure [46][47][48]. Two more studies involved five to 12 days [57,60], with one study reporting an 80-day exposure [45]. Twenty-five of the studies did not report the use of a relaxation period before the start of the intervention exposure [31,33,34,[36][37][38][39][40][41]43,44,[50][51][52][53][54][55]60].…”

Section: Hrv Analysis Methods Usedmentioning

confidence: 99%

“…For pre-post-test designs, HRV recording times ranged from one minute [50,55] to greater than 120 min [28]. Other pre-post-intervention recording times ranged from two to five minutes [33,35,[45][46][47]49,52,54,57,59,60] and 15 to 30 min [54,56], and one study did not report the length of recording time [31]. In terms of the epoch period used for HRV analysis, studies ranged from using 15 s [55] to 15 min [32], although most studies used a one-minute to four minute [34,[36][37][38]40,41,45,46,50] or five-minute epoch period [33,35,47,49,[52][53][54]57,59,60].…”

Section: Hrv Analysis Methods Usedmentioning

confidence: 99%

“…Almost every study used other physiological or psychological measures in their study, however five studies did not report the use of any other measures [29,32,45,46,57]. The three physiological measures that were most recorded included blood pressure (Bp) [28,31,[34][35][36]38,[40][41][42]49,50,52,53,58], heart rate (Hr) [28,30,38,39,42,43,[47][48][49][50]55,56,59,60], and salivary cortisol [33,37,[39][40][41][42]44,47,49,51,54,58].…”

Section: Additional Physiological and Psychological Measuresmentioning

confidence: 99%

“…Self-reported construct measures varied greatly; however, the most reported measure was the Profile of Mood States (POMS), with thirteen studies using this scale [31,34,35,[40][41][42][43][44]49,54,61]. Seven studies used the State-Trait Anxiety Inventory (STAI) [30,31,34,43,44,50,54], and the following self-reported scales were used in two studies each: Beck Depression Inventory (BDI) [33,47], Borgs Scale of Perceived Exertion [28,39], Digit Span Memory Test [42,47], Lake Louise Scoring System (LLSS) [57,60], Modified Semantic Differential (SD) Method [34,58], Rating of Perceived Exertion (RPE) [28,49], and Total Mood Disturbance (TMD) [39,53]. There were ten other self-report measures used in only one study each, and eight studies contained an unspecified scale or question-item survey [34][35][36][37][38][39]42,61].…”

Section: Additional Physiological and Psychological Measuresmentioning

confidence: 99%

See 4 more Smart Citations

Using Heart Rate Variability Methods for Health-Related Outcomes in Outdoor Contexts: A Scoping Review of Empirical Studies

D’Angelo

Ritchie

Oddson

et al. 2023

IJERPH

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Heart rate variability (HRV) is a psychophysiological variable that is often used in applied analysis techniques to indicate health status because it provides a window into the intrinsic regulation of the autonomic nervous system. However, HRV data analysis methods are varied and complex, which has led to different approaches to data collection, analysis, and interpretation of results. Our scoping review aimed to explore the diverse use of HRV methods in studies designed to assess health outcomes in outdoor free-living contexts. Four database indexes were searched, which resulted in the identification of 17,505 candidate studies. There were 34 studies and eight systematic reviews that met the inclusion criteria. Just over half of the papers referenced the 1996 task force paper that outlined the standards of measurement and physiological interpretation of HRV data, with even fewer adhering to recommended HRV recording and analysis procedures. Most authors reported an increase in parasympathetic (n = 23) and a decrease in systematic nervous system activity (n = 20). Few studies mentioned methods-related limitations and challenges, despite a wide diversity of recording devices and analysis software used. We conclude our review with five recommendations for future research using HRV methods in outdoor and health-related contexts.

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Section: Hrv Analysis Methods Usedmentioning

confidence: 99%

Section: Hrv Analysis Methods Usedmentioning

confidence: 99%

Section: Hrv Analysis Methods Usedmentioning

confidence: 99%

Section: Additional Physiological and Psychological Measuresmentioning

confidence: 99%

Section: Additional Physiological and Psychological Measuresmentioning

confidence: 99%

See 3 more Smart Citations

Using Heart Rate Variability Methods for Health-Related Outcomes in Outdoor Contexts: A Scoping Review of Empirical Studies

D’Angelo

Ritchie

Oddson

et al. 2023

IJERPH

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Comparison of heart rate variability between resting state and external-cuff-inflation-and-deflation state: a pilot study

Liu²,

Wang³

et al. 2015

Physiol. Meas.

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Heart rate variability (HRV) has been widely used in clinical research to provide an insight into the autonomic control of the cardiovascular system. Measurement of HRV is generally performed under a relaxed resting state. The effects of other conditions on HRV measurement, such as running, mountaineering, head-up tilt, etc, have also been investigated. This study aimed to explore whether an inflation-and-deflation process applied to a unilateral upper arm cuff would influence the HRV measurement. Fifty healthy young volunteers aged between 21 and 30 were enrolled in this study. Electrocardiogram (ECG) signals were recorded for each subject over a five minute resting state followed by a five minute external-cuff-inflation-and-deflation state (ECID state). A one minute gap was scheduled between the two measurements. Consecutive RR intervals in the ECG were extracted automatically to form the HRV data for each of the two states. Time domain (SDNN, RMSSD and PNN50), frequency domain (LFn, HFn and LF/HF) and nonlinear (VLI, VAI and SampEn) HRV indices were analyzed and compared between the two states. In addition, the effects of mean artery pressure (MAP) and heart rate (HR) on the aforementioned HRV indices were assessed for the two states, respectively, by Pearson correlation analysis. The results showed no significant difference in all aforementioned HRV indices between the resting and the ECID states (all p > 0.05). The corresponding HRV indices had significant positive correlation (all p < 0.01) between the two states. None of the indices showed MAP-related change (all p > 0.05) for either state. Besides, none of the indices showed HR-related change (all p > 0.05) for either state except the index of VLI in the resting state. To conclude, this pilot study suggested that the applied ECID process hardly influenced those commonly used HRV indices. It would thus be applicable to simultaneously measure both blood pressure and HRV indices in clinical practice.

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Heart rate variability during two sequential mountaineering expeditions

Cited by 2 publications

References 13 publications

Using Heart Rate Variability Methods for Health-Related Outcomes in Outdoor Contexts: A Scoping Review of Empirical Studies

Using Heart Rate Variability Methods for Health-Related Outcomes in Outdoor Contexts: A Scoping Review of Empirical Studies

Comparison of heart rate variability between resting state and external-cuff-inflation-and-deflation state: a pilot study

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