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      Feasibility and Efficacy of the Addition of Heart Rate Variability Biofeedback to a Remote Digital Health Intervention for Depression

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          Abstract

          A rise in the prevalence of depression underscores the need for accessible and effective interventions. The objectives of this study were to determine if the addition of a treatment component showing promise in treating depression, heart rate variability-biofeedback (HRV-B), to our original smartphone-based, 8-week digital intervention was feasible and whether patients in the HRV-B (“enhanced”) intervention were more likely to experience clinically significant improvements in depressive symptoms than patients in our original (“standard”) intervention. We used a quasi-experimental, non-equivalent (matched) groups design to compare changes in symptoms of depression in the enhanced group (n = 48) to historical outcome data from the standard group (n = 48). Patients in the enhanced group completed a total average of 3.86 h of HRV-B practice across 25.8 sessions, and were more likely to report a clinically significant improvement in depressive symptom score post-intervention than participants in the standard group, even after adjusting for differences in demographics and engagement between groups (adjusted OR 3.44, 95% CI [1.28–9.26], P = .015). Our findings suggest that adding HRV-B to an app-based, smartphone-delivered, remote intervention for depression is feasible and may enhance treatment outcomes.

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          The efficacy of smartphone-based mental health interventions for depressive symptoms: a meta-analysis of randomized controlled trials.

          The rapid advances and adoption of smartphone technology presents a novel opportunity for delivering mental health interventions on a population scale. Despite multi-sector investment along with wide-scale advertising and availability to the general population, the evidence supporting the use of smartphone apps in the treatment of depression has not been empirically evaluated. Thus, we conducted the first meta-analysis of smartphone apps for depressive symptoms. An electronic database search in May 2017 identified 18 eligible randomized controlled trials of 22 smartphone apps, with outcome data from 3,414 participants. Depressive symptoms were reduced significantly more from smartphone apps than control conditions (g=0.38, 95% CI: 0.24-0.52, p<0.001), with no evidence of publication bias. Smartphone interventions had a moderate positive effect in comparison to inactive controls (g=0.56, 95% CI: 0.38-0.74), but only a small effect in comparison to active control conditions (g=0.22, 95% CI: 0.10-0.33). Effects from smartphone-only interventions were greater than from interventions which incorporated other human/computerized aspects along the smartphone component, although the difference was not statistically significant. The studies of cognitive training apps had a significantly smaller effect size on depression outcomes (p=0.004) than those of apps focusing on mental health. The use of mood monitoring softwares, or interventions based on cognitive behavioral therapy, or apps incorporating aspects of mindfulness training, did not affect significantly study effect sizes. Overall, these results indicate that smartphone devices are a promising self-management tool for depression. Future research should aim to distil which aspects of these technologies produce beneficial effects, and for which populations.
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            The costs of depression.

            The data reported herein show clearly that major depression is a commonly occurring and burdensome disorder. The high prevalence, early age of onset, and high persistence of MDD in the many different countries where epidemiologic surveys have been administered confirm the high worldwide importance of depression. Although evidence is not definitive that MDD plays a causal role in its associations with the many adverse outcomes reviewed here, there is clear evidence that depression has causal effects on a number of important mediators, making it difficult to assume anything other than that depression has strong causal effects on many dimensions of burden. These results have been used to argue for the likely cost -effectiveness of expanded depression treatment from a societal perspective. Two separate, large-scale, randomized, workplace depression treatment effectiveness trials have been carried out in the United States to evaluate the cost effectiveness of expanded treatment from an employer perspective. Both trials had positive returns on investment to employers. A substantial expansion of worksite depression care management programs has occurred in the United States subsequent to the publication of these trials. However, the proportion of people with depression who receive treatment remains low in the United States and even lower in other parts of the world. A recent US study found that only about half of workers with MDD received treatment in the year of interview and that fewer than half of treated workers received treatment consistent with published treatment guidelines. Although the treatment rate was higher for more severe cases, even some with severe MDD often failed to receive treatment. The WMH surveys show that treatment rates are even lower in many other developed countries and consistently much lower in developing countries. Less information is available on rates of depression treatment among patients with chronic physical disorders, but available evidence suggests that expanded treatment could be of considerable value. Randomized, controlled trials are needed to expand our understanding of the effects of detection and treatment of depression among people in treatment for chronic physical disorders. In addition, controlled effectiveness trials with long-term follow-ups are needed to increase our understanding of the effects of early MDD treatment interventions on changes in life course role trajectories, role performance, and onset of secondary physical disorders.
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              Heart rate variability biofeedback: how and why does it work?

              In recent years there has been substantial support for heart rate variability biofeedback (HRVB) as a treatment for a variety of disorders and for performance enhancement (Gevirtz, 2013). Since conditions as widely varied as asthma and depression seem to respond to this form of cardiorespiratory feedback training, the issue of possible mechanisms becomes more salient. The most supported possible mechanism is the strengthening of homeostasis in the baroreceptor (Vaschillo et al., 2002; Lehrer et al., 2003). Recently, the effect on the vagal afferent pathway to the frontal cortical areas has been proposed. In this article, we review these and other possible mechanisms that might explain the positive effects of HRVB.
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                Author and article information

                Contributors
                valerie@meruhealth.com
                Journal
                Appl Psychophysiol Biofeedback
                Appl Psychophysiol Biofeedback
                Applied Psychophysiology and Biofeedback
                Springer US (New York )
                1090-0586
                1573-3270
                3 April 2020
                3 April 2020
                2020
                : 45
                : 2
                : 75-86
                Affiliations
                [1 ]Meru Health Inc, Palo Alto, CA USA
                [2 ]GRID grid.430387.b, ISNI 0000 0004 1936 8796, Rutgers Robert Wood Johnson Medical School, ; Piscataway, NJ USA
                [3 ]GRID grid.15485.3d, ISNI 0000 0000 9950 5666, Department of Adolescent Psychiatry, , Helsinki University Central Hospital, ; Helsinki, Finland
                [4 ]GRID grid.7737.4, ISNI 0000 0004 0410 2071, Clinicum, Department of Public Health, , University of Helsinki, ; Helsinki, Finland
                [5 ]GRID grid.252048.9, ISNI 0000 0001 2286 2419, Department of Clinical Psychology, California School of Professional Psychology, , Alliant University, ; San Diego, USA
                [6 ]GRID grid.38142.3c, ISNI 000000041936754X, Harvard Medical School, Boston Center for Health Psychology and Biofeedback, ; Boston, USA
                Article
                9458
                10.1007/s10484-020-09458-z
                7250954
                32246229
                fb4199fc-72b9-4dc9-8777-c3779dd69359
                © The Author(s) 2020

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

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                © Springer Science+Business Media, LLC, part of Springer Nature 2020

                Neurology
                depression,heart rate variability,biofeedback,smartphone app,online intervention,digital health,mhealth,mindfulness,meditation

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