Biofeedback Intervention for Stress, Anxiety, and Depression among Graduate Students in Public Health Nursing

Reducing Stress and Anxiety in First-Year Undergraduates Through Biofeedback-Assisted Relaxation Training

Background: College students face many stressors daily, often resulting in psychological challenges such as heightened anxiety and depression. Biofeedback is becoming aware of and learning to modify the body's physiological functions. This study aimed to evaluate the efficacy of biofeedback relaxation training in mitigating stress and anxiety levels among medical undergraduates. Methods: This pretest-posttest control group design study was conducted following the ethics committee's approval. The study selected first-year MBBS students based on their elevated stress and anxiety scores and divided them into intervention and control groups. The study involved subjecting the intervention group to 10 sessions of biofeedback relaxation training, while the control group was not given any treatment. Stress and anxiety levels were assessed before and after the intervention of 10 to 12 weeks using the Perceived Stress Scale-14 and Cognitive Test Anxiety Scale. Results: The study involved 93 students, with 47 of them in the intervention group and the remaining 46 in the control group. After biofeedback, the intervention group showed significantly lower stress and anxiety scores than the control group. Conclusion: Biofeedback training effectively reduced stress and anxiety levels among undergraduate medical students. Biofeedback techniques can be implemented in college settings to support student mental wellness.

Is Biofeedback for Vertigo Effective in Ordinary Medical Centers? A Controlled Trial in Northern Italy

The aim of this study was to assess the therapeutic effectiveness of biofeedback, in a medical center's routine for treating vestibular disorders, reducing emotional, functional, and physical disability at three-month follow-up. A total of 197 outpatients were recruited from a medical center to treat vestibular disorders. Patients in the control group received treatment as usual, consisting of one monthly visit with an otolaryngologist and pharmacological treatment specific for vertigo, while the experimental group attended biofeedback training. Patients in the experimental group received pharmacological therapy only in the phase before the start of biofeedback in order to stabilize the acute phase. During the three-month follow-up, the experimental group did not receive any booster sessions of biofeedback. At three-month follow-up there was a statistically significant difference between the groups, both in the mean total score of the dizziness handicap inventory and in the three subscales: physical, emotional, and functional. Moreover, the biofeedback group had reduced psycho-physiological parameters for all average values at three-month follow-up compared to the baseline. This is one of few studies assessing the effectiveness of biofeedback in a naturalistic setting for vestibular disorder treatment. The data confirmed that biofeedback can impact illness course, in terms of self-perceived disability reduction, assessed on emotional, functional, and physical aspects of daily living.

Application of a Program to Improve Personal Development in Future Physical Education Teachers of the Degree in Education and Its Relationship with Wisdom

The objective of the present study was to apply an intervention program based on emotional education and self-knowledge in students of the degree in Education to verify changes in wisdom to improve their psychological health and emotional well-being. For this, Three-dimensional Wisdom Scale (3S-WS) was administered before and after the intervention, analyzing aspects related to affective, cognitive and reflective wisdom. The sample consisted of 100 students (40 men and 60 women, aged between 20 and 29 years). After the intervention program, students improved reflective wisdom without an identifiable difference between sexes. On the other hand, men had higher values in all variables than women. In conclusion, the program to improve personal development and self-awareness could be useful to improve wisdom (especially reflective wisdom) in third and fourth year students of the degree in Education specializing in Physical Education. At the same time, it is intended that these students understand the foundations of the intervention so that in the future it can be replicated in their classrooms and contribute to the sustainable development of the 2030 Agenda.

Efficacy of bio- and neurofeedback for depression: a meta-analysis

BACKGROUND

For many years, biofeedback and neurofeedback have been implemented in the treatment of depression. However, the effectiveness of these techniques on depressive symptomatology is still controversial. Hence, we conducted a meta-analysis of studies extracted from PubMed, Scopus, Web of Science and Embase.

METHODS

Two different strings were considered for each of the two objectives of the study: A first group comprising studies patients with major depressive disorder (MDD) and a second group including studies targeting depressive symptomatology reduction in other mental or medical conditions.

RESULTS

In the first group of studies including patients with MDD, the within-group analyses yielded an effect size of Hedges' g = 0.717, while the between-group analysis an effect size of Hedges' g = 1.050. Moderator analyses indicate that treatment efficacy is only significant when accounting for experimental design, in favor of randomized controlled trials (RCTs) in comparison to non RCTs, whereas the type of neurofeedback, trial design, year of publication, number of sessions, age, sex and quality of study did not influence treatment efficacy. In the second group of studies, a small but significant effect between groups was found (Hedges' g = 0.303) in favor of bio- and neurofeedback against control groups. Moderator analyses revealed that treatment efficacy was not moderated by any of the sociodemographic and clinical variables.

CONCLUSIONS

Heart rate variability (HRV) biofeedback and neurofeedback are associated with a reduction in self-reported depression. Despite the fact that the field has still a large room for improvement in terms of research quality, the results presented in this study suggests that both modalities may become relevant complementary strategies for the treatment of MDD and depressive symptomatology in the coming years.

Biofeedback-Based Connected Mental Health Interventions for Anxiety: Systematic Literature Review

Background

Connected mental health, which refers to the use of technology for mental health care and technology-based therapeutic solutions, has become an established field of research. Biofeedback is one of the approaches used in connected mental health solutions, which is mainly based on the analysis of physiological indicators for the assessment and management of the psychological state. Biofeedback is recommended by many therapists and has been used for conditions including depression, insomnia, and anxiety. Anxiety is associated with several physiological symptoms, including muscle tension and breathing issues, which makes the inclusion of biofeedback useful for anxiety detection and management.

Objective

The aim of this study was to identify interventions using biofeedback as a part of their process for anxiety management and investigate their perceived effectiveness.

Methods

A systematic literature review of publications presenting empirically evaluated biofeedback-based interventions for anxiety was conducted. The systematic literature review was based on publications retrieved from IEEE Digital Library, PubMed, ScienceDirect, and Scopus. A preliminary selection of papers was identified, examined, and filtered to include only relevant publications. Studies in the final selection were classified and analyzed to extract the modalities of use of biofeedback in the identified interventions, the types of physiological data that were collected and analyzed and the sensors used to collect them. Processes and outcomes of the empirical evaluations were also extracted.

Results

After final selection, 13 publications presenting different interventions were investigated. The interventions addressed either primarily anxiety disorders or anxiety associated with health issues such as migraine, Parkinson disease, and rheumatology. Solutions combined biofeedback with other techniques including virtual reality, music therapy, games, and relaxation practices and used different sensors including cardiovascular belts, wrist sensors, or stretch sensors to collect physiological data such as heart rate, respiration indicators, and movement information. The interventions targeted different cohorts including children, students, and patients. Overall, outcomes from the empirical evaluations yielded positive results and emphasized the effectiveness of connected mental health solutions using biofeedback for anxiety; however, certain unfavorable outcomes, such as interventions not having an effect on anxiety and patients’ preferring traditional therapy, were reported in studies addressing patients with specific physical health issues.

Conclusions

The use of biofeedback in connected mental health interventions for the treatment and management of anxiety allows better screening and understanding of both psychological and physiological patient information, as well as of the association between the two. The inclusion of biofeedback could improve the outcome of interventions and boost their effectiveness; however, when used with patients suffering from certain physical health issues, suitability investigations are needed.

A Single Session of Heart Rate Variability Biofeedback Produced Greater Increases in Heart Rate Variability Than Autogenic Training

Heart rate variability biofeedback (HRV-BF) has been confirmed to increase heart rate variability (HRV) and cardiac outflows by baroreflex in healthy populations and clinical patients. Autogenic training (AT) is common used in the psychological intervention. This study integrates a single-session of HRV-BF and AT into a high-technology mobile application (app), and examines the effects on HRV indices, breathing rates, and subjective relaxation scores. Healthy college students were recruited and assigned to the single-session HRV-BF group or AT group. Participants in the HRV-BF group received HRV-BF combined with paced breathing training, which gradually stepped down their breathing rates from 12, to 8, to 6 breaths/per min; and received feedback of HRV indices from the app. Participants in the AT group received autogenic training and feedback of heart rate from the app. A chest belt Zephyr BioHarness was connected through Bluetooth to a Zenfone5 mobile phone, it collected the signals of interbeat intervals and breathing rates at pre-training, mid-training, and post-training stages. The Kubios HRV software was used to analyze HRV indices. The results reveal higher HRV indices and lower breathing rates during mid-training and post-training in the HRV-BF group compared to the AT group. There were higher high-frequency of HRV at post-training than pre-training in the AT group. Participants of both groups increased their subjective relaxation scores after training. The HRV-BF protocol increased cardiac outflows by baroreflex and decreased breathing rates, and the AT protocol increased high-frequency of HRV. These high-technology wearable devices combined with psychological interventions will apply to various populations in the future.

Self-compassion may reduce anxiety and depression in nursing students: a pathway through perceived stress

OBJECTIVES

Nursing students report high levels of anxiety and depression, which requires urgent attention. A growing amount of evidence indicates that self-compassion may indirectly (through perceived stress) and directly influence anxiety and depression, yet the research to date has not fully examined the reasons for this association. The present study examines the effects of self-compassion on anxiety and depression through perceived stress and may thus provide an innovative starting point for developing effective interventions for affected nursing students.

STUDY DESIGN

This is a cross-sectional study.

METHODS

Using structural equation modelling (SEM), we estimated the strength of the pathways between self-compassion, perceived stress and anxiety and depression among 1453 nursing students in Ningbo, China. The measurements included demographics, the Self-Compassion Scale-Short Form, the Chinese version of the Perceived Stress Questionnaire and the Goldberg Anxiety and Depression Scale.

RESULTS

Nursing students had an average score of 4.50 ± 2.44 on the Goldberg Anxiety Scale (GAS) and 3.58 ± 2.34 on the Goldberg Depression Scale (GDS), indicating high levels of anxiety and depression. The GAS and GDS scores were significantly different by the academic year, part-time employment and career prospects. The average scores for self-compassion and perceived stress were 38.99 ± 4.55 and 0.40 ± 0.14, respectively. The SEM results suggested that self-compassion was negatively associated with anxiety and depression (-0.44, P < 0.001). Perceived stress was positively associated with anxiety and depression (0.64, P < 0.001). Self-compassion was negatively associated with perceived stress (-0.65, P < 0.001). Self-compassion had no significant correlation with anxiety and depression in the effect of perceived stress (-0.14, P = 0.127). Thus, self-compassion indirectly influences anxiety and depression through perceived stress.

CONCLUSIONS

Self-compassion might reduce nursing students' anxiety and depression through perceived stress. Interventionists can consider using self-compassion training to alleviate perceived stress, anxiety and depression in nursing students.

New Frontiers in Heart Rate Variability and Social Coherence Research: Techniques, Technologies, and Implications for Improving Group Dynamics and Outcomes

Concepts embraced by the term coherence have been identified as central to fields such as quantum physics, physiology, and social science. There are different types of coherence, although the term always implies a harmonious relationship, correlations and connections between the various parts of a system. A specific measure derived from heart rate variability (HRV) provides a measure of physiological coherence. Another type of coherence, social coherence, relates to the harmonious alignment between couples or pairs, family units, small groups, or larger organizations in which a network of relationships exists among individuals who share common interests and objectives. A high degree of social coherence is reflected by stable and harmonious relationships, which allows for the efficient flow and utilization of energy and communication required for optimal collective cohesion and action. Social coherence requires that group members are attuned and are emotionally connected with each other, and that the group’s emotional energy is organized and regulated by the group as a whole. A number of studies are reviewed which have explored various types of synchronization in infants, pairs and groups, indicating that feelings of cooperation, trust, compassion and increased prosocial behaviors depends largely on the establishment of a spontaneous synchronization of various physiological rhythms between individuals. This article discusses a new application using HRV monitoring in social coherence research and the importance of physiological synchronization in group developmental processes and dynamics. Building on the extensive body of research showing that providing feedback of HRV coherence level at the individual level can improve self-regulation, we suggest the following hypotheses: (1) providing feedback of individual and collective HRV coherence and the degree of heart rhythm synchronization will increase group coherence, and heart rhythm synchronization among group members. (2) Training in techniques to increase group coherence and heart rhythm synchronization will correlate with increased prosocial behaviors, such as kindness and cooperation among individuals, improved communication, and decreases in social discord and adversarial interactions. (3) Biomagnetic fields produced by the heart may be a primary mechanism in mediating HRV synchronization among group members. Data supporting each of the hypothesis is discussed.

The Effect of Partnership Care Model on Mental Health of Patients with Thalassemia Major

BACKGROUND

Thalassemia major has become a public health problem worldwide, particularly in developing and poor countries, while the role of educating the family and community has not been considered enough in patients' care.

OBJECTIVES

This study examines the impact of partnership care model on mental health of patients with beta-thalassemia major.

MATERIALS AND METHODS

This experimental study, with pretest and posttest design, was performed on patients with beta-thalassemia major in Jiroft city. 82 patients with beta-thalassemia major were allocated randomly into two groups of intervention (41 patients) and control (n = 41) groups. Mental health of the participants was measured using the standard questionnaire GHQ-28 before and after intervention in both groups. The intervention was applied to the intervention group for 6 months, based on the partnership care model.

RESULTS

There were significant differences between the scores of mental health and its subscales between two groups after the intervention (P < 0.05).

CONCLUSIONS

The findings of the study revealed the efficacy and usefulness of partnership care model on mental health of patients with beta-thalassemia major; thus, implementation of this model is suggested for the improvement of mental health of patients with beta-thalassemia major.

Treating Chronic Stress to Address the Growing Problem of Depression and Anxiety

Depression and anxiety are undertreated and represent a growing health crisis and economic burden. Current treatment approaches (medications, psychotherapy) appear insufficient to resolve these problems. Difficulties with current treatment approaches include cost, side effects, and stigma. Given that depression and anxiety share significant features and a common etiology in chronic stress, an effective approach to reduce depression and anxiety may be to reduce chronic stress. Chronic stress is on the rise, with more than one third of Americans reporting high levels of stress with which they feel they cannot adequately cope. Treating chronic stress at the population level has the potential to reduce the rising tide of depression and anxiety. Biofeedback and mindfulness are two interventions that demonstrably reduce stress and negative mood, are cost and time-effective, have no side effects, and have minimal stigma relative to medications and psychotherapy.