The effect of heart rate variability biofeedback training on stress and anxiety: a meta-analysis

2017 ◽  
Vol 47 (15) ◽  
pp. 2578-2586 ◽  
Author(s):  
V. C. Goessl ◽  
J. E. Curtiss ◽  
S. G. Hofmann
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Meta Analysis ◽  
Wearable Devices ◽  
Biofeedback Training ◽  
Cochrane Library ◽  
Heart Rate Variability Biofeedback ◽  
Stress Symptoms ◽  
The Cochrane Library ◽  
Study Bias

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.

A preliminary systematic review and meta-analysis on the effects of heart rate variability biofeedback on heart rate variability and respiration of athletes

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Jeffrey Cayaban Pagaduan ◽  
Yung-Sheng Chen ◽  
James William Fell ◽  
Sam Shi Xuan Wu
Keyword(s):  
Systematic Review ◽  
Heart Rate ◽  
Heart Rate Variability ◽  
Web Of Science ◽  
Meta Analysis ◽  
Academic Research ◽  
Experimental Studies ◽  
Quantitative Review ◽  
Heart Rate Variability Biofeedback ◽  
Randomized Control

Abstract To date, there is no quantitative review examining the influence of heart rate variability biofeedback (HRV BFB) on the athlete population. Such an undertaking may provide valuable information on the autonomic and respiration responses of athletes when performing HRV BFB. Thus, purpose of this preliminary systematic review and meta-analysis on the effects of HRV BFB on HRV and respiration of athletes. Searches of Springerlink, SportDiscus, Web of Science, PROQUEST Academic Research Library, Google Scholar, and ScienceDirect were conducted for studies that met the following criteria: (1) experimental studies involving athletes that underwent randomized control trial; (2) availability of HRV BFB as a treatment compared with a control (CON)/placebo (PLA); (3) any pre and post HRV variable and/or breathing frequency as dependent variable/s; and, (4) peer-reviewed articles written in English. Four out of 660 studies involving 115 athletes (25 females and 90 males) ages 16–30 years old were assessed in this review. Preliminary findings suggest the promising ability of HRV BFB to improve respiratory mechanics in athlete population. More work is needed to determine the autonomic modulatory effect of HRV BFB in athletes.

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.

scholarly journals Biofeedback as an intervention for persistent post-concussive symptoms: A randomized feasibility trial

2021 ◽  
Vol 5 ◽  
pp. 205970022110464
Author(s):  
Marquise M Bonn ◽  
Liliana Alvarez ◽  
Laura Graham ◽  
James W Thompson ◽  
James P Dickey
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Biofeedback Training ◽  
Feasibility Trial ◽  
Control Group ◽  
Low Resolution ◽  
Heart Rate Variability Biofeedback ◽  
Electromagnetic Tomography ◽  
Healthy Control ◽  
Study Intervention

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 ).

scholarly journals Do Corticosteroids Affect Prenatal Biophysical Parameters? A Systematic Review and Meta-analysis

2020 ◽  
Vol 8 (3) ◽  
pp. 259-264
Author(s):  
Sanaz Musavi ◽  
Leila Nikniaz ◽  
Hosein Hoseinifard ◽  
Arezou Hamzehzadeh ◽  
Shabnam Vazifekhah
Keyword(s):  
Systematic Review ◽  
Heart Rate ◽  
Heart Rate Variability ◽  
Meta Analysis ◽  
Random Effect ◽  
Random Effect Model ◽  
Cochrane Library ◽  
Effect Model ◽  
Biophysical Profile ◽  
Betamethasone And Dexamethasone

This systematic review and meta-analysis aimed to evaluate the effect of betamethasone and dexamethasone on biophysical profile (BPP) parameters. In addition, it was performed in 2017, using several databases such as PubMed/MEDLINE, Scopus, EMBASE, Cochrane library, ISI Web of science, Proquest, and Google scholar, along with Magiran SID and IranMedex. Eligible studies were selected by two reviewers and the outcomes of interest were extracted as well. Meta-analysis was done using the random effect model. Further, I-square statistic test was used for heterogeneity analysis and the presence of publication bias was also checked. At last, 12 studies were included and a random and fixed effect model was used for analysis. The pooled event rates were 4.5% (95% CI = 0.01-64.3, P=0.1), 76.8% (% 95 CI=33.5-95.6, P=0.21), 71.8% (% 95 CI=38.8-91.1, P=0.18), 70.9% (%95 CI=38.4-90.5, P=0.20), and 92.3% (%95 CI=76.0-97.8, P<0.001) for the reduced amniotic fluid volume, baseline fetal heart rate reactivity, fetal breathing, fetal movement, and heart rate variability, respectively. In summary, a significant decrease was observed in heart rate variability following betamethasone and dexamethasone administration. However, further systematic reviews are necessary to differentiate steroid induced changes in the fetal BPP from those due to fetal compromise

The Effect of Physical Training on Heart Rate Variability in Healthy Children: A Systematic Review With Meta-Analysis

2014 ◽  
Vol 26 (2) ◽  
pp. 147-158 ◽  
Author(s):  
Carla Cristiane da Silva ◽  
Ligia Maxwell Pereira ◽  
Jefferson Rosa Cardoso ◽  
Jonathan Patrick Moore ◽  
Fábio Yuzo Nakamura
Keyword(s):  
Systematic Review ◽  
Heart Rate ◽  
Heart Rate Variability ◽  
Physical Training ◽  
Meta Analysis ◽  
Total Power ◽  
Cochrane Library ◽  
Control Group ◽  
Healthy Children ◽  
Positive Effects

The positive effects of physical training on heart rate variability (HRV) in healthy adults are widely recognized; however, the responsiveness to training in healthy children has not yet been established. The aim of this study was to determine the influence of physical training on HRV in prepubertal healthy children. Systematic computerized searches were performed from 1950 to 2012 in the following databases: Medline, Embase, Cinahl, Lilacs, Scielo, SportDiscus, ProQuest; Web of Science; PEDro; Academic Search Premier and the Cochrane Library. The key words used were: heart rate variability, autonomic nervous system, exercise training, physical activity, continuous exercise, intermittent exercise, children, prepubescent, adolescents, and healthy. Although the database search initially identified 6,164 studies, after removing duplicates and excluding by title the number was 148, however, only 2 studies were included in this systematic review. The meta-analysis compared the experimental group (n = 29) with the control group (n = 28) for the HRV parameters: RR intervals, SDNN, RMSSD, pNN50, LF (log), HF (log), LF/HF and Total Power (log). The meta-analysis demonstrated similar HRV indices between both the experimental and control groups. In conclusion, the available results from randomized controlled trials do not support the hypothesis that physical training improves HRV in healthy children[AUQ2].

Association Between Heart Rate Variability and Parkinson’s Disease: A Meta-Analysis

2020 ◽  
Vol 19 ◽  
Author(s):  
Yuan Li ◽  
Junjie Wang ◽  
Xinyi Li ◽  
Wei Jing ◽  
Itohan Omorodion ◽  
...  
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Disease Duration ◽  
Meta Analysis ◽  
Autonomic Nerve ◽  
Cochrane Library ◽  
Regulation System ◽  
Heart Rate Regulation ◽  
Subgroup Analyses ◽  
The Impact

Aim: A systematic review which aims to assess the evidence regarding the function of the autonomic heart rate regulation system among Parkinson‟s disease (PD) patients. The main objective of the study is to compare heart rate variability (HRV) between those with and without PD from published studies. The subgroup analyses aimed to investigate the impact of treatment and disease duration on heart rate variability (HRV), assessed by measuring sympathetic and parasympathetic activity via low-frequency (LF) and high-frequency (HF) power spectrum scores, in patients with Parkinson‟s disease (PD). Methods: PubMed, Cochrane Library, Embase and Web of Science were searched using the keywords “Parkinson‟s disease” and “heart rate variability”. Studies that reported at least one HRV variable were included. The quality of the included studies was evaluated, and the relevant information was extracted. Then, a meta-analysis was carried out with Stata software. Results: Thirteen references (16 studies) were included in our analysis. The LF values (g -0.27; 95% confidence interval (CI) -0.53 to -0.01) of the patients with PD were lower than the controls. No significant differences in HF values (g -0.11; 95% CI -0.28 to 0.06) were observed between groups. Subgroup analyses of HRV outcomes in patients stratified by treatment status and disease duration were performed. For LF, patients with a disease duration of less than 5 years presented lower HF (g -0.25; 95% CI -0.44 to -0.06) values than controls. Regarding HF, patients receiving treatment presented lower HF (g -0.22; 95% CI -0.40 to 0.05) values than controls, and patients with a disease duration greater than 5 years also presented lower HF (g -0.29; 95% CI -0.56 to -0.03) values than controls. Discussion: We have confirmed and elaborated on the hypothesis of sympathovagal imbalance in PD. Knowledge of the effect of sympathovagal balance on HRV may inform the design of therapeutic regimens for PD. However, between-study heterogeneity and methodological issues limit the generalizability of the evidence; thus, future studies employing strict methodologies are warranted. Conclusion: Our meta-analysis found that PD is associated with reduced HRV values, which indicates that both sympathetic and vagal activity are decreased. Patients in the early stage of PD have sympathetic autonomic nerve dysfunction with only minor damage to sympathetic activity.

scholarly journals Effects of heart rate variability biofeedback training in athletes exposed to stress of university examinations

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