Heart rate variability (HRV) training for symptom control in cancer survivors.

2017 ◽  
Vol 35 (5_suppl) ◽  
pp. 148-148 ◽  
Author(s):  
Mark Allen O'Rourke ◽  
Sherry Stokes ◽  
Franco Regina ◽  
Kerri Susko ◽  
William Hendry ◽  
...  
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Cancer Survivors ◽  
Repeated Measures ◽  
Symptom Control ◽  
Brief Pain Inventory ◽  
Heart Beat ◽  
Biofeedback Training ◽  
Controlled Clinical Trial ◽  
Fatigue Stress

148 Background: Late effects of cancer and its treatment include pain, fatigue, stress, and depression, all mediated by autonomic dysfunction. Heart Rate Variability (HRV) coherence is an established measure of optimal autonomic function. HRV coherence is achieved when the heart beat-to-beat intervals increase and decrease with respiration in a smooth rhythm. High coherence is associated with improved mood, cognition, executive function, and optimal pulmonary gas exchange. Cancer survivors have lower HRV than controls. Low HRV has been associated with early mortality, inflammation, and other adverse intermediary outcomes. HRV biofeedback (HRV-B) training improves HRV coherence, restores autonomic health, and reduces the above symptoms. HRV-B is non-pharmacologic, inexpensive, and self-maintained. This report describes a feasibility study of HRV-B in symptomatic cancer survivors. Methods: In a randomized, waitlist-controlled clinical trial, 179 were screened, 35 enrolled and 31 completed the protocol. Participants in the intervention arm received weekly HRV-B training up to six weeks. Outcome measures assessed at baseline (pre) and after week six (post) included HRV coherence plus the Brief Pain Inventory (BPI), Multi-Dimensional Fatigue Inventory (MFI), Perceived Stress Scale (PSS) and Beck Depression Inventory II (BDI-II). Data analyzed using linear-mixed models for repeated measures (SAS Proc Mixed). Results: Conclusions: Delivering HRV Biofeedback training to cancer survivors is feasible in a clinical setting. This study provides preliminary evidence that HRV-B training for cancer survivors improves HRV and reduces pain, fatigue, stress, and depression. HRV-B training has potential for symptom control in cancer survivors. Controlled, multisite studies are indicated.[Table: see text]

Use of heart rate variability (HRV) biofeedback for symptom management among cancer survivors.

2017 ◽  
Vol 35 (15_suppl) ◽  
pp. 10099-10099
Author(s):  
Mark Allen O'Rourke ◽  
Regina A. Franco ◽  
Jameson Sofge ◽  
Jay Ginsberg ◽  
Kerri Susko ◽  
...  
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Cancer Survivors ◽  
Autonomic Dysfunction ◽  
Brief Pain Inventory ◽  
Preliminary Evidence ◽  
Biofeedback Training ◽  
Controlled Clinical Trial ◽  
Normal Controls ◽  
Symptomatic Cancer

10099 Background: Late effects of cancer and its treatment include pain, fatigue, stress, and depression all mediated by autonomic dysfunction. Heart Rate Variability (HRV) coherence is an established measure of autonomic dysfunction. Cancer survivors have lower HRV coherence than normal controls. HRV biofeedback (HRV-B) training improves HRV coherence, restores autonomic health, and reduces the above symptoms. This report describes a feasibility study of HRV-B in symptomatic cancer survivors. Methods: In a randomized, waitlist controlled, clinical trial, 179 were screened, 34 enrolled and 31 completed the protocol. Participants in the intervention arm received weekly HRV-B training up to six weeks. Outcome measures assessed at baseline (pre) and after week six (post) included HRV coherence plus Insomnia Symptom Questionnaire (ISQ), Suscro Distress Inventory (SDI), Brief Pain Inventory (BPI), Multi-Dimensional Fatigue Inventory (MFI), Perceived Stress Scale (PSS) and Beck Depression Inventory II (BDI-II). Results: See table below. Conclusions: Delivering HRV Biofeedback training to cancer survivors is feasible at our Cancer Institute. This pilot study provides preliminary evidence that HRV-B for cancer survivors improves HRV coherence and reduces insomnia, pain, fatigue, depression, and stress. The intervention has great potential and further research is indicated. [Table: see text]

Heart Rate Variability, Emotions, and Music

2010 ◽  
Vol 24 (2) ◽  
pp. 112-119 ◽  
Author(s):  
F. Riganello ◽  
A. Candelieri ◽  
M. Quintieri ◽  
G. Dolce
Keyword(s):  
Data Mining ◽  
Heart Rate ◽  
Heart Rate Variability ◽  
Vegetative State ◽  
Low Frequency ◽  
Emotional Reactions ◽  
Heart Beat ◽  
Healthy Controls ◽  
Frequency Spectra ◽  
Emotional Value

The purpose of the study was to identify significant changes in heart rate variability (an emerging descriptor of emotional conditions; HRV) concomitant to complex auditory stimuli with emotional value (music). In healthy controls, traumatic brain injured (TBI) patients, and subjects in the vegetative state (VS) the heart beat was continuously recorded while the subjects were passively listening to each of four music samples of different authorship. The heart rate (parametric and nonparametric) frequency spectra were computed and the spectra descriptors were processed by data-mining procedures. Data-mining sorted the nu_lf (normalized parameter unit of the spectrum low frequency range) as the significant descriptor by which the healthy controls, TBI patients, and VS subjects’ HRV responses to music could be clustered in classes matching those defined by the controls and TBI patients’ subjective reports. These findings promote the potential for HRV to reflect complex emotional stimuli and suggest that residual emotional reactions continue to occur in VS. HRV descriptors and data-mining appear applicable in brain function research in the absence of consciousness.

Heart Rate Variability Biofeedback in Grandmothers Raising Grandchildren: Effects on Stress, Emotions, and Cognitions

Biofeedback ◽  
2013 ◽  
Vol 41 (3) ◽  
pp. 144-149 ◽  
Author(s):  
Jaclene A. Zauszniewski ◽  
Tsay-Yi Au ◽  
Carol M. Musil
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Perceived Stress ◽  
Repeated Measures ◽  
Negative Emotions ◽  
Pilot Trial ◽  
Heart Rate Variability Biofeedback ◽  
Grandmothers Raising Grandchildren ◽  
Depressive Cognitions ◽  
Reducing Stress

Over one million American grandmothers raise grandchildren, and many experience stress that may be alleviated by biofeedback. This pilot trial of 20 grandmothers used a pretest-posttest design with repeated measures to test the effects of heart rate variability (HRV) biofeedback on perceived stress, negative emotions, and depressive cognitions. Significant decreases in stress, negative emotions, and depressive cognitions were found. Biofeedback is thus potentially effective for reducing stress and depressive thoughts and feelings in grandmothers raising grandchildren, and the intervention warrants further testing.

scholarly journals A pilot study investigating the relationship between heart rate variability and blood pressure in young adults at risk for cardiovascular disease

2022 ◽  
Vol 28 (1) ◽  
Author(s):  
Linda P. Bolin ◽  
Amelia D. Saul ◽  
Lauren L. Bethune Scroggs ◽  
Carolyn Horne
Keyword(s):  
Blood Pressure ◽  
Cardiovascular Disease ◽  
Heart Rate ◽  
Heart Rate Variability ◽  
Pilot Study ◽  
Family History ◽  
Diastolic Blood Pressure ◽  
Biofeedback Training ◽  
Paced Breathing ◽  
History Of

Abstract Background Cardiovascular disease is one of the leading causes of death globally with hypertension being a primary cause of premature death from this disease process. Individuals with a family history of cardiovascular disease and hypertension are at a greater risk for developing the same sequela. Autonomic cardiac control is important in the level of cardiac function. One intervention that is effective in improving cardiovascular function is heart rate variability biofeedback training. The purpose of our study was to determine the effectiveness of heart rate biofeedback training on HRV and blood pressure in individuals with a family history of cardiovascular disease. Methods Thirty-four participants (76.5% female, 22.7 ± 4.3 years) completed a baseline assessment and training using an established short-term HRV protocol followed by two weeks of at-home paced breathing employing a smartphone application. The participants were then reassessed in a biofeedback clinic. Results The participants physiological measures showed a significant increase in means between pre and post intervention of SDNN (t (32) = 2.177, p =.037) and TP, (t (32) = 2.327 p = .026). Correlation noted a medium effect on diastolic blood pressure and high frequency heart rate variability, F, r = .41, n =33, p < .05. A multiple regression with all predictor variables in the model found no significance with diastolic and systolic blood pressure. Conclusions The findings from this pilot study demonstrated that a two-week paced breathing intervention may assist in reducing heart rate and diastolic blood pressure while improving heart rate variability.

scholarly journals Features of heart rate variability in breast cancer survivors with various types of attitude to the disease

2018 ◽  
Vol 32 (3) ◽  
pp. 5-9
Author(s):  
Evgen Prystupa ◽  
Tetiana Odynets ◽  
Yuriy Briskin ◽  
Iryna Svistelnyk
Keyword(s):  
Breast Cancer ◽  
Heart Rate ◽  
Heart Rate Variability ◽  
Cancer Survivors ◽  
Breast Cancer Survivors

Symptom Management Among Cancer Survivors: Randomized Pilot Intervention Trial of Heart Rate Variability Biofeedback

2020 ◽  
Vol 45 (2) ◽  
pp. 99-108 ◽  
Author(s):  
James B. Burch ◽  
J. P. Ginsberg ◽  
Alexander C. McLain ◽  
Regina Franco ◽  
Sherry Stokes ◽  
...  
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Cancer Survivors ◽  
Symptom Management ◽  
Intervention Trial ◽  
Heart Rate Variability Biofeedback ◽  
Pilot Intervention

Heart Rate Variability in Intensive Care

1998 ◽  
Vol 13 (5) ◽  
pp. 252-265 ◽  
Author(s):  
Brahm Goldstein ◽  
Timothy G. Buchman
Keyword(s):  
Heart Rate ◽  
Time Series ◽  
Heart Rate Variability ◽  
Intensive Care ◽  
Time Series Analysis ◽  
Fetal Distress ◽  
Heart Beat ◽  
Dynamic Interactions ◽  
Series Analysis ◽  
Injured Patients

Clinicians have long been aware that the normal oscillations in a heart beat are lost during fetal distress, during the early stages of heart failure, with advanced aging, and with critical illness and injury. However, these oscillations, or variability in heart rate and other cardiovascular signals, have largely been ignored or discounted as variances from the mean or average values. It is becoming increasingly clear that these oscillations reflect the dynamic interactions of many physiologic processes, including neuroautonomic regulation of heart rate and blood pressure. We present a synthesis and review of the current literature concerning heart rate variability with special reference to intensive care. This article describes the background of time series analysis of heart rate variability including time and frequency domain and nonlinear measurements. The implications and potential for time series analysis of variability in cardiovascular signals in clinical diagnosis and management of critically ill and injured patients are discussed.

Distinguishing Mild Traumatic Brain Injury and Stress Responses: Implications for Heart Rate Variability Biofeedback Training

Biofeedback ◽  
2015 ◽  
Vol 43 (1) ◽  
pp. 4-5
Author(s):  
Leah Lagos
Keyword(s):  
Traumatic Brain Injury ◽  
Heart Rate ◽  
Heart Rate Variability ◽  
Stress Responses ◽  
Stress Disorder ◽  
Biofeedback Training ◽  
Postconcussion Syndrome ◽  
Heart Rate Variability Biofeedback ◽  
Specialized Form ◽  
Biofeedback Research

Recent research has noted a significant overlap between symptoms of posttraumatic stress disorder (PTSD) and postconcussion syndrome (PCS). In this article, an argument is made for providing a specialized form of heart rate variability biofeedback that allows for the physiological discharge of trauma among patients who present with comorbid symptoms of PTSD and PCS. Recommendations for clinicians who encounter the manifestation of trauma during their work with PCS patients are provided. Future areas of heart rate variability biofeedback research among PCS and PTSD populations are further delineated.

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