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

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.

Biofeedback ◽  
2015 ◽  
Vol 43 (4) ◽  
pp. 193-199 ◽  
Author(s):  
Jaclene A. Zauszniewski ◽  
Carol M. Musil ◽  
Mary Variath

Research shows that 20% of grandmothers raising grandchildren experience stress and depression. Heart rate variability (HRV) biofeedback may help grandmothers track and regulate their physiological response to stress. This study therefore examined correlations between coherence scores reflecting HRV and self-report measures of stress, negative emotions, and depressive cognitions in 20 grandmothers raising grandchildren. Higher coherence scores were inversely and significantly correlated with self-report measures, suggesting the need to examine the effects of HRV biofeedback on biomarkers reflecting stress and depression.


2020 ◽  
Author(s):  
Jeffrey Pagaduan ◽  
Sam SX Wu ◽  
James W. Fell ◽  
Yung-Sheng Chen

Abstract Background Heart rate variability biofeedback (HRV BFB) is a visually-guided paced breathing scheme that stimulates resonance in the cardiovascular system. Up to date, the influence of HRV BFB on neuromuscular function remains unknown. The purpose of this study was to investigate the effects of a single-session HRV BFB on Hoffman reflex (H-reflex) of the soleus muscle and maximal voluntary isometric contraction (MVC) of plantar flexors. Methods Eleven male healthy participants (height: 173.6 ± 7.5 cm; weight: 74.5 ± 17.3 kg; age: 24.6 ± 4.8 yrs) volunteered to undergo a randomized-crossover intervention involving a 10-minute HRV BFB and normal breathing (CON), separated by 48-hours. Pre and post indices for H-reflex, and post-only MVC in HRV BFB were evaluated using two-way repeated measures ANOVA and independent T-test respectively. Results No significant differences in H-reflex markers between HRV BFB and CON were found. Both groups posted non-significant difference in MVC. Conclusion An acute HRV BFB was not sufficient in eliciting significant changes in motoneuron excitability of the soleus muscle and maximal muscle strength of plantar flexors.


Author(s):  
Jeffrey Cayaban Pagaduan ◽  
Yung-Sheng Chen ◽  
James William Fell ◽  
Sam Shi Xuan Wu

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.


Biofeedback ◽  
2021 ◽  
Vol 49 (1) ◽  
pp. 10-17
Author(s):  
Amy Hudson

Addiction is a devastating disease of the body, the mind, and even the personality. Recent research shows that heart rate variability biofeedback can help the alcoholic/addict recover in three crucial ways, namely (1) treating the associated comorbidities (depression, anxiety, chronic pain), (2) treating the physiology around craving, and (3) returning to a loving and nurturing relationship with one's own body instead of an abusive and exploitive one.


Circulation ◽  
2012 ◽  
Vol 125 (suppl_10) ◽  
Author(s):  
Amanda C Costa ◽  
Ana Gabriela C Silva ◽  
Cibele T Ribeiro ◽  
Guilherme A Fregonezi ◽  
Fernando A Dias

Background: Stress is one of the risk factors for cardiovascular disease and decreased heart rate variability is associated to increased mortality in some cardiac diseases. The aim of the study was to assess the impact of perceived stress on cardiac autonomic regulation in young healthy volunteers. Methods: 35 young healthy volunteers (19 to 29 years old, 6 men) from a Brazilian population were assessed for perceived stress by the translated and validated Perceived Stress Scale (PSS, 14 questions) and had the R-R intervals recorded at rest on supine position (POLAR RS800CX) and analyzed (5 minutes, Kubius HRV software) by Fast-Fourier Transform for quantification of Heart Rate Variability (HRV). Results: Average data (±SD) for age, heart rate, BMI, waist circumference and percentage of body fat (%BF) were: 21.3±2.7 years; 65.5±7.9 bpm; 22.3±1.9 Kg/m 2 ; 76.0±6.1 cm and 32.1±6.6%; respectively. The mean score for the PSS-14 was 23.5±7.2 and for the HRV parameter as follow: SSDN=54.8±21.2ms; rMSSD=55.9±32.2ms; low-frequency (LF)= 794.8±579.7ms 2 ; High-frequency (HF)= 1508.0±1783.0 ms 2 ; LF(n.u.)= 41.1±16.2; HF(n.u.)= 58.9±16.2; LF/HF=0.89±0.80 and Total power (TP)= 3151±2570ms 2 . Spearman nonparametric correlation was calculated and there was a significant correlation of PSS-14 scores and LF (ms 2 ) (r=−0.343; p= 0.044). Other HRV variables did not shown significant correlation but also had negative values for Spearman r (TP r=−0.265, p=0.124; HF r=−0.158; SSDN r=−0.207; rMSSD r=−0.243, p=0.160). LF/HF and LF(n.u.) did not correlate to PSS-14 having Spearman r very close to zero (LF/HF r=−0.007, p=0.969; LF(n.u.) r=−0.005, p=0.976). No correlation was found for HRV parameters and BMI and there was a trend for statistical correlation of %BF and LF (ms 2 ) (r=−0.309, p=0.071). Conclusions: These data demonstrate a possible association of perceived stress level and HRV at rest. Changes in LF can be a consequence of both sympathetic and parasympathetic activity, however, analyzing the other variables HF, TP, SSDN and rMSSD (all negative Spearman r) and due to the lack of changes in LF/HF ratio and LF(n.u.) we interpret that increased stress may be associated to decrease in overall heart rate variability. These changes were seen in healthy individuals and may point out an important mechanism in cardiovascular disease development.


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