scholarly journals Pilot study employing heart rate variability biofeedback training to decrease anxiety in patients with eating disorders

2014 ◽  
Vol 2 (1) ◽  
Author(s):  
Barbara Scolnick ◽  
David I Mostofsky ◽  
Robert J Keane
2022 ◽  
Vol 28 (1) ◽  
Author(s):  
Linda P. Bolin ◽  
Amelia D. Saul ◽  
Lauren L. Bethune Scroggs ◽  
Carolyn Horne

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.


Biofeedback ◽  
2015 ◽  
Vol 43 (1) ◽  
pp. 4-5
Author(s):  
Leah Lagos

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.


2017 ◽  
Vol 47 (15) ◽  
pp. 2578-2586 ◽  
Author(s):  
V. C. Goessl ◽  
J. E. Curtiss ◽  
S. G. Hofmann

BackgroundSome evidence suggests that heart rate variability (HRV) biofeedback might be an effective way to treat anxiety and stress symptoms. To examine the effect of HRV biofeedback on symptoms of anxiety and stress, we conducted a meta-analysis of studies extracted from PubMed, PsycINFO and the Cochrane Library.MethodsThe search identified 24 studies totaling 484 participants who received HRV biofeedback training for stress and anxiety. We conducted a random-effects meta-analysis.ResultsThe pre-post within-group effect size (Hedges' g) was 0.81. The between-groups analysis comparing biofeedback to a control condition yielded Hedges' g = 0.83. Moderator analyses revealed that treatment efficacy was not moderated by study year, risk of study bias, percentage of females, number of sessions, or presence of an anxiety disorder.ConclusionsHRV biofeedback training is associated with a large reduction in self-reported stress and anxiety. Although more well-controlled studies are needed, this intervention offers a promising approach for treating stress and anxiety with wearable devices.


2021 ◽  
Vol 5 ◽  
pp. 205970022110464
Author(s):  
Marquise M Bonn ◽  
Liliana Alvarez ◽  
Laura Graham ◽  
James W Thompson ◽  
James P Dickey

Background Case reports indicate that low-resolution electromagnetic tomography neurofeedback and heart rate variability biofeedback may improve physiological functioning in individuals with persistent post-concussive symptoms. However, it is unclear whether larger-scale studies are feasible. Purpose To evaluate the feasibility of a combined low-resolution electromagnetic tomography neurofeedback and heart rate variability biofeedback intervention for individuals with persistent post-concussive symptoms. Methods Individuals with persistent post-concussive symptoms were randomized into intervention and control groups, and their baseline and post-test assessments were compared to a healthy control group. Outcomes included self-report questionnaires, resting electroencephalograph and electrocardiograph recordings, and a driving simulation task. Participants in the intervention group completed three 20 min low-resolution electromagnetic tomography neurofeedback sessions per week and at-home heart rate variability biofeedback training every morning and night for 8 weeks. Feasibility was evaluated according to recruitment capability and sample characteristics, data collection procedures, suitability of the intervention and study procedures, management and implementation of the study intervention, and preliminary participant responses to the intervention. Results Thirty-three individuals were recruited and 24 completed this study (seven intervention participants, nine persistent post-concussive symptoms control participants, and eight healthy control participants). One-quarter of participants (four intervention participants and three persistent post-concussive symptoms control participants) experienced simulator sickness during the driving simulator task and had to withdraw from the study. Intervention participants had an 88% and 86% compliance rate for the low-resolution electromagnetic tomography neurofeedback and heart rate variability biofeedback sessions, respectively. Low-resolution electromagnetic tomography neurofeedback sessions took approximately 1 h to complete per participant. Preliminary analysis indicated that the intervention reduced electroencephalograph z-score deviation with a very large effect size ( d = 1.36) compared to the other study groups. Conclusions Pilot studies evaluating the efficacy of low-resolution electromagnetic tomography neurofeedback and heart rate variability biofeedback should be performed to confirm these preliminary findings. However, the protocol should be modified to reduce participant fatigue and withdrawal. This trial was registered with Clinicialtrials.gov (NCT03338036; https://clinicaltrials.gov/ct2/show/NCT03338036?term=03338036&draw=2&rank=1 ).


PLoS ONE ◽  
2018 ◽  
Vol 13 (7) ◽  
pp. e0201388 ◽  
Author(s):  
Veronique Deschodt-Arsac ◽  
Romain Lalanne ◽  
Beatrice Spiluttini ◽  
Claire Bertin ◽  
Laurent M. Arsac

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