Literature DB >> 8829887

Thermoregulation and heart rate variability.

L A Fleisher1, S M Frank, D I Sessler, C Cheng, T Matsukawa, C A Vannier.   

Abstract

1. Heart rate variability is modulated by multiple control systems, including autonomic and hormonal systems. Long-term variability, i.e. the very low-frequency band of the power spectra, has been postulated to reflect thermoregulatory vasomotor control, based upon thermal entrainment experiments. However, the relationship between thermoregulatory responses (vasoconstriction and shivering) and heart rate variability has not been studied. 2. We performed two distinct protocols in a series of human subjects. In the first protocol, core temperature was reduced by intravenous infusion of cold saline, while skin temperature was unchanged. The second protocol involved skin-surface warming and cooling until shivering developed. Power spectral analysis was performed using a fast Fourier transformation, and the area in three distinct band-widths was determined. 3. Very low-frequency power (0.0039-0.04 Hz) increased significantly in response to core cooling, peripheral vasoconstriction and shivering, while both very low- and low- (0.04-0.15 Hz) frequency power increased in response to skin-surface cooling. Heart rate decreased during core cooling-induced vasoconstriction, suggesting a direct thermal response, and increased in relation to the metabolic demands associated with shivering. 4. Our results suggest that very low-frequency power is modulated by thermal stimuli which result in core hypothermia and thermoregulatory activity, while skin-surface cooling without core hypothermia does not selectively modulate this frequency band.

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Mesh:

Year:  1996        PMID: 8829887     DOI: 10.1042/cs0900097

Source DB:  PubMed          Journal:  Clin Sci (Lond)        ISSN: 0143-5221            Impact factor:   6.124


  28 in total

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2.  Poincaré plot analysis of autocorrelation function of RR intervals in patients with acute myocardial infarction.

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3.  Validation of ECG-derived sleep architecture and ventilation in sleep apnea and chronic fatigue syndrome.

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4.  Is heart rate variability related to memory performance in middle-aged men?

Authors:  Amit Jasvant Shah; Shaoyong Su; Emir Veledar; James Douglas Bremner; Felicia C Goldstein; Rachel Lampert; Jack Goldberg; Viola Vaccarino
Journal:  Psychosom Med       Date:  2011-06-28       Impact factor: 4.312

5.  Age alters cardiac autonomic modulations during and following exercise-induced heat stress in females.

Authors:  Anthony S Leicht; Andreas D Flouris; Antonia Kaltsatou; Andrew J Seely; Christophe L Herry; Heather E Wright Beatty; Glen P Kenny
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Review 6.  Heart rate variability and swimming.

Authors:  Julian Koenig; Marc N Jarczok; Mieke Wasner; Thomas K Hillecke; Julian F Thayer
Journal:  Sports Med       Date:  2014-10       Impact factor: 11.136

7.  Scaling exponent values as an ordinary function of the ratio of very low frequency to high frequency powers in heart rate variability over various sleep stages.

Authors:  Ren-Jing Huang; Ching-Hsiang Lai; Shin-Da Lee; Wei-Che Wang; Ling-Hui Tseng; Yu-Pin Chen; Shen-Wen Chang; Ai-Hui Chung; Hua Ting
Journal:  Sleep Breath       Date:  2016-04-02       Impact factor: 2.816

8.  Physical activity is a major contributor to the ultra low frequency components of heart rate variability.

Authors:  J M Serrador; H C Finlayson; R L Hughson
Journal:  Heart       Date:  1999-12       Impact factor: 5.994

9.  Reliability of the Parabola Approximation Method in Heart Rate Variability Analysis Using Low-Sampling-Rate Photoplethysmography.

Authors:  Hyun Jae Baek; JaeWook Shin; Gunwoo Jin; Jaegeol Cho
Journal:  J Med Syst       Date:  2017-10-24       Impact factor: 4.460

10.  Effects of immersion in water containing high concentrations of CO2 (CO2-water) at thermoneutral on thermoregulation and heart rate variability in humans.

Authors:  Maki Sato; Dominika Kanikowska; Satoshi Iwase; Naoki Nishimura; Yuuki Shimizu; Eric Belin de Chantemele; Takaaki Matsumoto; Yoko Inukai; Yumiko Taniguchi; Akihiro Ogata; Junichi Sugenoya
Journal:  Int J Biometeorol       Date:  2008-10-24       Impact factor: 3.787

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