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Alderman BL, Perdue HM, Sarwani AH. Exercise for the Prevention and Treatment of Depression. Curr Top Behav Neurosci 2024. [PMID: 39042248 DOI: 10.1007/7854_2024_496] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/24/2024]
Abstract
Depression is among the world's leading causes of disability and accounts for a significant loss of life. Despite large investments in research for antidepressants and psychotherapies, non-response, partial response, and small effects remain significant problems. Exercise and physical activity are two lifestyle behaviors that have been studied for well over half a century for the prevention and treatment of depression. The aim of this chapter is to summarize the current evidence base supporting the efficacy of exercise and physical activity in the prevention and treatment of depression, including evidence supporting exercise as a monotherapy and adjunct to antidepressant medication and psychotherapies. We conclude the chapter by outlining challenges to prescribing exercise for depression and general recommendations for encouraging behavioral adoption for individuals suffering from depression.
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Affiliation(s)
- Brandon L Alderman
- Department of Kinesiology and Health, Rutgers University, New Brunswick, NJ, USA.
| | - Hannah M Perdue
- Department of Kinesiology and Health, Rutgers University, New Brunswick, NJ, USA
| | - Amber H Sarwani
- Department of Kinesiology and Health, Rutgers University, New Brunswick, NJ, USA
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2
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Terhorst Y, Kaiser T, Brakemeier EL, Moshe I, Philippi P, Cuijpers P, Baumeister H, Sander LB. Heterogeneity of Treatment Effects in Internet- and Mobile-Based Interventions for Depression: A Systematic Review and Meta-Analysis. JAMA Netw Open 2024; 7:e2423241. [PMID: 39023887 PMCID: PMC11258589 DOI: 10.1001/jamanetworkopen.2024.23241] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/12/2024] [Accepted: 05/21/2024] [Indexed: 07/20/2024] Open
Abstract
Importance While the effects of internet- and mobile-based interventions (IMIs) for depression have been extensively studied, no systematic evidence is available regarding the heterogeneity of treatment effects (HTEs), indicating to what extent patient-by-treatment interactions exist and personalized treatment models might be necessary. Objective To investigate the HTEs in IMIs for depression as well as their efficacy and effectiveness. Data Sources A systematic search in Embase, MEDLINE, Central, and PsycINFO for randomized clinical trials and supplementary reference searches was conducted on October 13, 2019, and updated March 25, 2022. The search string included various terms related to digital psychotherapy, depression, and randomized clinical trials. Study Selection Titles, abstracts, and full texts were reviewed by 2 independent researchers. Studies of all populations with at least 1 intervention group receiving an IMI for depression and at least 1 control group were eligible, if they assessed depression severity as a primary outcome and followed a randomized clinical trial (RCT) design. Data Extraction and Synthesis This study followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses reporting guidelines. Risk of bias was evaluated using the Cochrane Risk of Bias Tool. HTE was investigated using logarithmic variance ratios (lnVR) and effect sizes using Hedges g. Three-level bayesian meta-regressions were conducted. Main Outcomes and Measures Heterogeneity of treatment effects was the primary outcome of this study; magnitudes of treatment effect sizes were the secondary outcome. Depression severity was measured by different self-report and clinician-rated scales in the included RCTs. Results The systematic review of 102 trials included 19 758 participants (mean [SD] age, 39.9 [10.58] years) with moderate depression severity (mean [SD] in Patient Health Questionnaire-9 score, 12.81 [2.93]). No evidence for HTE in IMIs was found (lnVR = -0.02; 95% credible interval [CrI], -0.07 to 0.03). However, HTE was higher in more severe depression levels (β̂ = 0.04; 95% CrI, 0.01 to 0.07). The effect size of IMI was medium (g = -0.56; 95% CrI, -0.46 to -0.66). An interaction effect between guidance and baseline severity was found (β̂ = -0.24, 95% CrI, -0.03 to -0.46). Conclusions and Relevance In this systematic review and meta-analysis of RCTs, no evidence for increased patient-by-treatment interaction in IMIs among patients with subthreshold to mild depression was found. Guidance did not increase effect sizes in this subgroup. However, the association of baseline severity with HTE and its interaction with guidance indicates a more sensitive, guided, digital precision approach would benefit individuals with more severe symptoms. Future research in this population is needed to explore personalization strategies and fully exploit the potential of IMI.
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Affiliation(s)
- Yannik Terhorst
- Department of Clinical Psychology and Psychotherapy, Institute of Psychology and Education, University Ulm, Ulm, Germany
- Department of Psychology, Ludwig Maximilian University of Munich, Munich, Germany
| | - Tim Kaiser
- Methods and Evaluation/Quality Assurance, Freie Universität Berlin, Berlin, Germany
| | - Eva-Lotta Brakemeier
- Department of Clinical Psychology and Psychotherapy, University Greifswald, Greifswald, Germany
| | - Isaac Moshe
- Department of Psychology and Logopedics, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Paula Philippi
- Department of Clinical Child and Adolescent Psychology and Psychotherapy, Bergische Universität Wuppertal, Wuppertal, Germany
| | - Pim Cuijpers
- Department of Clinical, Neuro-, and Developmental Psychology, Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Harald Baumeister
- Department of Clinical Psychology and Psychotherapy, Institute of Psychology and Education, University Ulm, Ulm, Germany
| | - Lasse Bosse Sander
- Medical Psychology and Medical Sociology, Faculty of Medicine, University of Freiburg, Freiburg im Breisgau, Germany
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Kuut TA, Buffart LM, Braamse AMJ, Müller F, Knoop H. Is the effect of cognitive behaviour therapy for chronic fatigue syndrome (ME/CFS) moderated by the presence of comorbid depressive symptoms? A meta-analysis of three treatment delivery formats. J Psychosom Res 2024; 184:111850. [PMID: 38970879 DOI: 10.1016/j.jpsychores.2024.111850] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/11/2024] [Revised: 06/04/2024] [Accepted: 06/21/2024] [Indexed: 07/08/2024]
Abstract
OBJECTIVE Cognitive behaviour therapy (CBT) for fatigue in chronic fatigue syndrome (ME/CFS) leads to a significant reduction of fatigue and disability and is available in different treatment delivery formats, i.e. internet-based, individual face-to-face and group face-to-face. The aim of this study was to investigate whether moderation of the effects of CBT by clinically relevant depressive symptoms varies between CBT delivery formats. METHODS Data from six randomised controlled trials (n = 1084 patients) were pooled. Moderation of clinically relevant depressive symptoms (Brief Depression Inventory for Primary Care) in different treatment formats on fatigue severity (Checklist Individual Strength, subscale fatigue severity), functional impairment (Sickness Impact Profile-8) and physical functioning (Short Form-36, subscale physical functioning) was investigated using linear mixed model analyses and interaction tests. Differences in percentages of patients no longer severely fatigued post-CBT were studied by calculating relative risks. RESULTS The moderator effect of depressive symptoms on fatigue severity varied by delivery format. In internet-based CBT, ME/CFS patients with depressive symptoms showed less reduction in fatigue, and were more often still severely fatigued post-treatment than patients without depressive symptoms. In individual and group face-to-face CBT, no significant difference in treatment effect on fatigue severity was found between patients with and without depressive symptoms. No moderation was found for the other outcomes. CONCLUSION In internet-based CBT, ME/CFS patients with comorbid depressive symptoms benefit less, making face-to-face CBT currently the first-choice delivery format for these patients. Internet-based CBT should be further developed to improve its effectiveness for ME/CFS patients with depressive symptoms.
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Affiliation(s)
- T A Kuut
- Amsterdam UMC Location University of Amsterdam, Department of Medical Psychology, Amsterdam, the Netherlands; Amsterdam UMC Location University of Amsterdam, Amsterdam Public Health, Amsterdam, the Netherlands.
| | - L M Buffart
- Radboud University Medical Center, Department of Medical BioSciences, Nijmegen, the Netherlands
| | - A M J Braamse
- Amsterdam UMC Location University of Amsterdam, Department of Medical Psychology, Amsterdam, the Netherlands; Amsterdam UMC Location University of Amsterdam, Amsterdam Public Health, Amsterdam, the Netherlands
| | - F Müller
- Amsterdam UMC Location University of Amsterdam, Department of Medical Psychology, Amsterdam, the Netherlands; Amsterdam UMC Location University of Amsterdam, Amsterdam Public Health, Amsterdam, the Netherlands
| | - H Knoop
- Amsterdam UMC Location University of Amsterdam, Department of Medical Psychology, Amsterdam, the Netherlands; Amsterdam UMC Location University of Amsterdam, Amsterdam Public Health, Amsterdam, the Netherlands
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Reich H, Hegerl U, Rosenthal A, Allenhof C. Arabic-language digital interventions for depression in German routine health care are acceptable, but intervention adoption remains a challenge. Sci Rep 2024; 14:12097. [PMID: 38866810 PMCID: PMC11169486 DOI: 10.1038/s41598-024-62196-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Accepted: 05/14/2024] [Indexed: 06/14/2024] Open
Abstract
Migrants face many barriers to mental health care, such as different cultural concepts of distress, unfamiliar pathways to care, and language. Digital mental health interventions are effective and scalable in multi-language versions. However, their implementation into routine care is in its infancy. Here, we report on the Arabic- and German-language implementation of two digital interventions in Germany: The iFightDepression® website, providing information about depression to the public, and the iFightDepression® tool, offering guided self-management for depression. Our main goal is to gain empirical knowledge about the success of their implementation and provide evidence-based recommendations for improvement. Data for the current analyses stem from convenience samples, utilizing anonymized user logs of the iFightDepression® website and 15.307 user accounts in the iFightDepression® tool. We found that the acceptability (time on page, usage behavior) of both digital interventions was comparable between the two user groups. The website pervasiveness of the target populations was nine times lower among Arab migrants in Germany than Germans (89 vs. 834 unique page views/ 100,000 inhabitants), but the increase in views was superior and sustained over three years. The adoption of the tool was lower among Arabic than German users (conversion rate from invitation to completed registration: 30.8% vs. 59.0%, p < 0.001) and appropriateness was challenged as Arabic users reported higher depression severities upon first registration (p = 0.027). Our results show that the uptake of digital interventions for migrants requires facilitation and further tailoring to the needs of the target group.
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Affiliation(s)
- Hanna Reich
- Department of Psychiatry, Psychosomatic Medicine, and Psychotherapy, Depression Research Centre of the German Depression Foundation, University Hospital, Goethe University, Heinrich-Hoffmann-Str. 10, 60528, Frankfurt am Main, Germany.
- German Depression Foundation, Leipzig, Germany.
| | - Ulrich Hegerl
- German Depression Foundation, Leipzig, Germany
- Johann Christian Senckenberg Distinguished Professorship, Department for Psychiatry, Psychosomatic Medicine, and Psychotherapy, University Hospital, Goethe University, Frankfurt am Main, Germany
- European Alliance Against Depression e.V., Leipzig, Germany
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Xie H, Cong S, Wang R, Sun X, Han J, Ni S, Zhang A. Effect of eHealth interventions on perinatal depression: A meta-analysis. J Affect Disord 2024; 354:160-172. [PMID: 38490593 DOI: 10.1016/j.jad.2024.03.027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/03/2023] [Revised: 02/29/2024] [Accepted: 03/09/2024] [Indexed: 03/17/2024]
Abstract
BACKGROUND Perinatal depression (PND) is a common mental health problem, and eHealth interventions may provide a strategy for alleviating PND. AIM This meta-analysis aimed to determine the effect of eHealth interventions on PND. METHODS Six databases were searched to retrieve published randomized controlled trials (RCTs) on the effect of eHealth interventions on PND. A meta-analysis was performed on the data of these studies using a random effects model. RESULTS A total of 21 RCTs were included in the meta-analysis, which revealed that eHealth interventions significantly reduced antenatal depression (WMD = -1.64, 95 % CI [-2.92, -0.35], P = .013), postpartum depression (SMD = -0.41, 95 % CI [-0.52, -0.29], P < .001), anxiety (SMD = -0.39, 95 % CI [-0.51, -0.28], P < .001), stress (WMD = -2.93, 95 % CI [-4.58, -1.27], P = .001), and improved self-efficacy (SMD = 0.42, 95 % CI [0.21, 0.63], P < .001) compared with the control group. However, eHealth interventions did not significantly improve social support (SMD = 0.27, 95 % CI [-0.01, 0.56], P = .058). For antenatal depression, significant subgroup differences were observed in the digital platform and material presentation format. In addition, for postpartum depression, significant subgroup differences were found in the type of therapy. CONCLUSIONS The meta-analysis results suggest that eHealth interventions can relieve depression, anxiety, and stress symptoms and improve self-efficacy in perinatal women. However, these interventions did not improve social support. Additional high-quality studies on eHealth interventions in PND are needed to validate these results.
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Affiliation(s)
- Hongyan Xie
- School of Nursing, Nanjing Medical University, Jiangsu, China
| | - Shengnan Cong
- Women's Hospital of Nanjing Medical University, Nanjing Women and Children's Healthcare Hospital, Jiangsu, China
| | - Rui Wang
- Central South University Xiangya School of Nursing, Hunan, China
| | - Xiaoqing Sun
- Affiliated Hospital of Xuzhou Medical University, Jiangsu, China
| | - Jingjing Han
- School of Nursing, Suzhou University, Jiangsu, China
| | - Shiqian Ni
- School of Nursing, Nanjing Medical University, Jiangsu, China
| | - Aixia Zhang
- Women's Hospital of Nanjing Medical University, Nanjing Women and Children's Healthcare Hospital, Jiangsu, China.
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Doukani A, Quartagno M, Sera F, Free C, Kakuma R, Riper H, Kleiboer A, Cerga-Pashoja A, van Schaik A, Botella C, Berger T, Chevreul K, Matynia M, Krieger T, Hazo JB, Draisma S, Titzler I, Topooco N, Mathiasen K, Vernmark K, Urech A, Maj A, Andersson G, Berking M, Baños RM, Araya R. Comparison of the Working Alliance in Blended Cognitive Behavioral Therapy and Treatment as Usual for Depression in Europe: Secondary Data Analysis of the E-COMPARED Randomized Controlled Trial. J Med Internet Res 2024; 26:e47515. [PMID: 38819882 PMCID: PMC11179025 DOI: 10.2196/47515] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2023] [Revised: 02/09/2024] [Accepted: 02/11/2024] [Indexed: 06/01/2024] Open
Abstract
BACKGROUND Increasing interest has centered on the psychotherapeutic working alliance as a means of understanding clinical change in digital mental health interventions in recent years. However, little is understood about how and to what extent a digital mental health program can have an impact on the working alliance and clinical outcomes in a blended (therapist plus digital program) cognitive behavioral therapy (bCBT) intervention for depression. OBJECTIVE This study aimed to test the difference in working alliance scores between bCBT and treatment as usual (TAU), examine the association between working alliance and depression severity scores in both arms, and test for an interaction between system usability and working alliance with regard to the association between working alliance and depression scores in bCBT at 3-month assessments. METHODS We conducted a secondary data analysis of the E-COMPARED (European Comparative Effectiveness Research on Blended Depression Treatment versus Treatment-as-usual) trial, which compared bCBT with TAU across 9 European countries. Data were collected in primary care and specialized services between April 2015 and December 2017. Eligible participants aged 18 years or older and diagnosed with major depressive disorder were randomized to either bCBT (n=476) or TAU (n=467). bCBT consisted of 6-20 sessions of bCBT (involving face-to-face sessions with a therapist and an internet-based program). TAU consisted of usual care for depression. The main outcomes were scores of the working alliance (Working Alliance Inventory-Short Revised-Client [WAI-SR-C]) and depressive symptoms (Patient Health Questionnaire-9 [PHQ-9]) at 3 months after randomization. Other variables included system usability scores (System Usability Scale-Client [SUS-C]) at 3 months and baseline demographic information. Data from baseline and 3-month assessments were analyzed using linear regression models that adjusted for a set of baseline variables. RESULTS Of the 945 included participants, 644 (68.2%) were female, and the mean age was 38.96 years (IQR 38). bCBT was associated with higher composite WAI-SR-C scores compared to TAU (B=5.67, 95% CI 4.48-6.86). There was an inverse association between WAI-SR-C and PHQ-9 in bCBT (B=-0.12, 95% CI -0.17 to -0.06) and TAU (B=-0.06, 95% CI -0.11 to -0.02), in which as WAI-SR-C scores increased, PHQ-9 scores decreased. Finally, there was a significant interaction between SUS-C and WAI-SR-C with regard to an inverse association between higher WAI-SR-C scores and lower PHQ-9 scores in bCBT (b=-0.030, 95% CI -0.05 to -0.01; P=.005). CONCLUSIONS To our knowledge, this is the first study to show that bCBT may enhance the client working alliance when compared to evidence-based routine care for depression that services reported offering. The working alliance in bCBT was also associated with clinical improvements that appear to be enhanced by good program usability. Our findings add further weight to the view that the addition of internet-delivered CBT to face-to-face CBT may positively augment experiences of the working alliance. TRIAL REGISTRATION ClinicalTrials.gov NCT02542891, https://clinicaltrials.gov/study/NCT02542891; German Clinical Trials Register DRKS00006866, https://drks.de/search/en/trial/DRKS00006866; Netherlands Trials Register NTR4962, https://www.onderzoekmetmensen.nl/en/trial/25452; ClinicalTrials.Gov NCT02389660, https://clinicaltrials.gov/study/NCT02389660; ClinicalTrials.gov NCT02361684, https://clinicaltrials.gov/study/NCT02361684; ClinicalTrials.gov NCT02449447, https://clinicaltrials.gov/study/NCT02449447; ClinicalTrials.gov NCT02410616, https://clinicaltrials.gov/study/NCT02410616; ISRCTN Registry ISRCTN12388725, https://www.isrctn.com/ISRCTN12388725?q=ISRCTN12388725&filters=&sort=&offset=1&totalResults=1&page=1&pageSize=10; ClinicalTrials.gov NCT02796573, https://classic.clinicaltrials.gov/ct2/show/NCT02796573. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID) RR2-10.1186/s13063-016-1511-1.
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Affiliation(s)
- Asmae Doukani
- Department of Population Health, London School of Hygiene & Tropical Medicine, London, United Kingdom
| | - Matteo Quartagno
- Medical Research Council Clinical Trials Unit, University College London, London, United Kingdom
| | - Francesco Sera
- Department of Statistics, Computer Science and Applications "G. Parenti", University of Florence, Florance, Italy
| | - Caroline Free
- Department of Population Health, London School of Hygiene & Tropical Medicine, London, United Kingdom
| | - Ritsuko Kakuma
- Department of Population Health, London School of Hygiene & Tropical Medicine, London, United Kingdom
| | - Heleen Riper
- Department of Psychiatry, Amsterdam University Medial Centre, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Annet Kleiboer
- Department Clinical, Neuro, and Developmental Psychology, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
- Amsterdam Public Health Institute, Amsterdam, Netherlands
| | - Arlinda Cerga-Pashoja
- Department of Population Health, London School of Hygiene & Tropical Medicine, London, United Kingdom
| | - Anneke van Schaik
- Department of Psychiatry, Amsterdam University Medial Centre, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
- Academic Department for Depressive Disorders, Dutch Mental Health Care, Amsterdam, Netherlands
| | - Cristina Botella
- Department of Basic Psychology, Clinical and Psychobiology, Universitat Jaume I, Castellón de la Plana, Spain
- Centro de Investigación Biomédica en Red Fisiopatología Obesidad y Nutrición, Instituto Carlos III, Madrid, Spain
| | - Thomas Berger
- Department of Clinical Psychology and Psychotherapy, University of Bern, Bern, Switzerland
| | - Karine Chevreul
- Unité de Recherche Clinique in Health Economics, Assistance Publique-Hôpitaux de Paris, Paris, France
- Health Economics Research Unit, Inserm, University of Paris, Paris, France
| | - Maria Matynia
- Faculty of Psychology, SWPS University, Warsaw, Poland
| | - Tobias Krieger
- Department of Clinical Psychology and Psychotherapy, University of Bern, Bern, Switzerland
| | - Jean-Baptiste Hazo
- Unité de Recherche Clinique in Health Economics, Assistance Publique-Hôpitaux de Paris, Paris, France
- Health Economics Research Unit, Inserm, University of Paris, Paris, France
| | - Stasja Draisma
- Department on Aging, Netherlands Institute of Mental Health and Addiction (Trimbos Institute), Utrecht, Netherlands
| | - Ingrid Titzler
- Department of Clinical Psychology and Psychotherapy, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Naira Topooco
- Department of Behavioural Sciences and Learning, Linköping University, Linköping, Sweden
| | - Kim Mathiasen
- Department of Clinical Medicine, Faculty of Health Sciences, University of Southern Denmark, Odense, Denmark
- Centre for Digital Psychiatry, Mental Health Services of Southern Denmark, Odense, Denmark
| | - Kristofer Vernmark
- Department of Behavioural Sciences and Learning, Linköping University, Linköping, Sweden
| | - Antoine Urech
- Department of Clinical Psychology and Psychotherapy, University of Bern, Bern, Switzerland
- Department of Neurology, Inselspital Bern, Bern University Hospital, Bern, Switzerland
| | - Anna Maj
- Faculty of Psychology, SWPS University, Warsaw, Poland
| | - Gerhard Andersson
- Department of Behavioral Sciences and Learning, Linköping University, Linköping, Sweden
- Department of Clinical Neuroscience, Karolinska Institute, Stockholm, Sweden
- Department of Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden
| | - Matthias Berking
- Department of Clinical Psychology and Psychotherapy, Friedrich-Alexander-University Erlangen-Nürnberg, Erlangen, Germany
| | - Rosa María Baños
- Centro de Investigación Biomédica en Red Fisiopatología Obesidad y Nutrición, Instituto Carlos III, Madrid, Spain
- Department of Personality, Evaluation and Psychological Treatments, Universidad de Valencia, Valencia, Spain
| | - Ricardo Araya
- Department of Health Service and Population Research, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, United Kingdom
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Bernstein EE, Wolfe EC, Huguenel BM, Wilhelm S. Lessons and Untapped Potential of Smartphone-Based Physical Activity Interventions for Mental Health: Narrative Review. JMIR Mhealth Uhealth 2024; 12:e45860. [PMID: 38488834 PMCID: PMC10981024 DOI: 10.2196/45860] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2023] [Revised: 09/12/2023] [Accepted: 11/30/2023] [Indexed: 03/19/2024] Open
Abstract
BACKGROUND Physical activity has well-known and broad health benefits, including antidepressive and anxiolytic effects. However, only approximately half of Americans meet even the minimum exercise recommendations. Individuals with anxiety, depression, or related conditions are even less likely to do so. With the advent of mobile sensors and phones, experts have quickly noted the utility of technology for the enhanced measurement of and intervention for physical activity. In addition to being more accessible than in-person approaches, technology-driven interventions may uniquely engage key mechanisms of behavior change such as self-awareness. OBJECTIVE This study aims to provide a narrative overview and specific recommendations for future research on smartphone-based physical activity interventions for psychological disorders or concerns. METHODS In this paper, we summarized early efforts to adapt and test smartphone-based or smartphone-supported physical activity interventions for mental health. The included articles described or reported smartphone-delivered or smartphone-supported interventions intended to increase physical activity or reduce sedentary behavior and included an emotional disorder, concern, or symptom as an outcome measure. We attempted to extract details regarding the intervention designs, trial designs, study populations, outcome measures, and inclusion of adaptations specifically for mental health. In taking a narrative lens, we drew attention to the type of work that has been done and used these exemplars to discuss key directions to build on. RESULTS To date, most studies have examined mental health outcomes as secondary or exploratory variables largely in the context of managing medical concerns (eg, cancer and diabetes). Few trials have recruited psychiatric populations or explicitly aimed to target psychiatric concerns. Consequently, although there are encouraging signals that smartphone-based physical activity interventions could be feasible, acceptable, and efficacious for individuals with mental illnesses, this remains an underexplored area. CONCLUSIONS Promising avenues for tailoring validated smartphone-based interventions include adding psychoeducation (eg, the relationship between depression, physical activity, and inactivity), offering psychosocial treatment in parallel (eg, cognitive restructuring), and adding personalized coaching. To conclude, we offer specific recommendations for future research, treatment development, and implementation in this area, which remains open and promising for flexible, highly scalable support.
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Affiliation(s)
- Emily E Bernstein
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, United States
- Department of Psychiatry, Harvard Medical School, Boston, MA, United States
| | - Emma C Wolfe
- Department of Psychology, University of Virginia, Charlottesville, VA, United States
| | - Brynn M Huguenel
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, United States
- Department of Psychiatry, Harvard Medical School, Boston, MA, United States
| | - Sabine Wilhelm
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, United States
- Department of Psychiatry, Harvard Medical School, Boston, MA, United States
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Matsumoto K, Hamatani S, Shimizu E. Long-term effectiveness and cost-effectiveness of guided internet-based cognitive behavioral therapy for obsessive-compulsive disorder: 24-month follow-up. Internet Interv 2024; 35:100725. [PMID: 38362159 PMCID: PMC10867335 DOI: 10.1016/j.invent.2024.100725] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/28/2023] [Revised: 01/09/2024] [Accepted: 02/07/2024] [Indexed: 02/17/2024] Open
Abstract
This study investigated the long-term effectiveness and cost-effectiveness of guided internet-based cognitive behavioral therapy (ICBT) for obsessive-compulsive disorder (OCD). Twenty-five patients with OCD who had undergone guided ICBT in a randomized controlled trial or a single-arm trial were followed up for 6, 12, and 24 months. Missing data were imputed using the mice package in R, and a one-way analysis of variance with repeated measures was performed. The total Yale-Brown Obsessive-Compulsive Scale (Y-BOCS) score significantly decreased from baseline to all endpoints (p < 0.001). OCD remission (the total Y-BOCS score < 14) rates significantly increased from post-treatment (48 %) at the 12 months (80 %) and 24 months (76 %) follow-up (χ2 (1) = 7.11-11.08, p < 0.01) post guided ICBT. Regression analysis predicted the maintenance of remission at 12 and 24 months following post-treatment remission (z = 2.20, p = 0.03). An incremental cost-effectiveness ratio was calculated to assess the cost-effectiveness of guided ICBT. The incremental cost-effectiveness ratio was JPY 999,495, below the JPY 5 million threshold for willingness to pay in Japan. Our findings demonstrate the long-term effectiveness and cost-effectiveness of guided ICBT for OCD. Guided ICBT can mitigate the severity of OCD even after treatment.
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Affiliation(s)
- Kazuki Matsumoto
- Division of Clinical Psychology, Kagoshima University Medical and Dental Hospital, Research and Education Assembly Medical and Dental Sciences Area, Kagoshima University, Kagoshima-City, Kagoshima, Japan
- Research Center for Child Mental Development, Chiba University, Chiba-City, Chiba, Japan
| | - Sayo Hamatani
- Research Center for Child Mental Development, Chiba University, Chiba-City, Chiba, Japan
- Research Center for Child Mental Development, University of Fukui, Yoshida-Gun, Fukui, Japan
| | - Eiji Shimizu
- Research Center for Child Mental Development, Chiba University, Chiba-City, Chiba, Japan
- Department of Cognitive Behavioral Physiology, Graduate School of Medicine, Chiba University, Chiba-City, Chiba, Japan
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9
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Peake E, Miller I, Flannery J, Chen L, Lake J, Padmanabhan A. Preliminary Efficacy of a Digital Intervention for Adolescent Depression: Randomized Controlled Trial. J Med Internet Res 2024; 26:e48467. [PMID: 38324367 PMCID: PMC10882470 DOI: 10.2196/48467] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2023] [Revised: 06/28/2023] [Accepted: 10/25/2023] [Indexed: 02/08/2024] Open
Abstract
BACKGROUND Adolescent depression is a significant public health concern; however, access to effective mental health care is limited. Digital therapeutics (DTx) can improve access to evidence-based interventions; however, their efficacy in adolescents is sparsely documented. OBJECTIVE This study aims to examine the efficacy of a mobile app DTx versus an active control as an adjunct treatment for adolescent depression symptoms. METHODS An internet-based open-label randomized control trial was conducted nationwide with a partial crossover design, and 168 adolescents aged 13 to 21 years with symptoms of depression were recruited between November 2020 and September 2021. Participants were randomized (1:1) to the cognitive behavioral therapy-based treatment app (Spark) or to a psychoeducational control app (control), which they would use for a duration of 5 weeks. The primary outcome was a between-group (Spark vs control) difference in the change in depression symptoms from baseline to postintervention, as measured by the Patient Health Questionnaire-8 (PHQ-8) using a linear mixed-effects analysis. The PHQ-8 ranges from 0 to 24, with scores of 5 to 9 indicating mild depression symptoms, scores of 10 to 14 indicating moderate symptoms, scores of 15 to 19 indicating moderately severe symptoms, and scores of 20 to 24 indicating severe symptoms. A minimal clinically important difference (5-point reduction between baseline and postintervention) in the Spark arm and group differences in remission and treatment response rates based on the PHQ-8 at postintervention were also investigated. RESULTS A total of 160 participants were randomized, 80 in the Spark arm (mean age 16.89, SD 2.5 y) and 80 in the control arm (mean age 16.79, SD 2.59 y). Data from 121 participants (Spark: n=63; control: n=58) with moderate to severe (PHQ-8≥10) symptoms at baseline were included in the primary analyses following a modified intention-to-treat principle. A linear mixed-effect analysis revealed a nonsignificant difference between the study arms in depression symptom change over the intervention period. The Spark arm met a minimal clinically important difference threshold (mean -5.08, 95% CI -6.72 to -3.42). The remission rate in the Spark arm was significantly higher than that in the control arm (11/63, 17% vs 2/58, 3%; χ21=6.2; P=.01; false discovery rate-adjusted P=.03). The treatment response rates were not significantly different between the study arms (P=.07; false discovery rate-adjusted P=.16). Post hoc analyses including participants with mild to severe (PHQ-8 score ≥5) symptoms at baseline revealed promising evidence that Spark is effective in those with mild to severe symptoms. CONCLUSIONS There is initial evidence that a self-guided, cognitive behavioral therapy-based DTx intervention may effectively treat mild to severe depression symptoms in adolescents. DTx may improve access to mental health care for adolescents or serve as an important adjunct to the standard of care. TRIAL REGISTRATION ClinicalTrials.gov NCT04524598; https://clinicaltrials.gov/study/NCT04524598.
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Affiliation(s)
- Emily Peake
- Limbix Health Inc, San Francisco, CA, United States
- Big Health Inc, San Francisco, CA, United States
| | - Ian Miller
- Limbix Health Inc, San Francisco, CA, United States
- Digital Medicine Society, Boston, MA, United States
| | - Jessica Flannery
- Limbix Health Inc, San Francisco, CA, United States
- Akili, Boston, MA, United States
| | - Lang Chen
- Neuroscience Unit, Santa Clara University, Santa Clara, CA, United States
| | - Jessica Lake
- Limbix Health Inc, San Francisco, CA, United States
- Big Health Inc, San Francisco, CA, United States
| | - Aarthi Padmanabhan
- Limbix Health Inc, San Francisco, CA, United States
- Big Health Inc, San Francisco, CA, United States
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Yasukawa S, Tanaka T, Yamane K, Kano R, Sakata M, Noma H, Furukawa TA, Kishimoto T. A chatbot to improve adherence to internet-based cognitive-behavioural therapy among workers with subthreshold depression: a randomised controlled trial. BMJ MENTAL HEALTH 2024; 27:e300881. [PMID: 38199786 PMCID: PMC10806906 DOI: 10.1136/bmjment-2023-300881] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Accepted: 11/15/2023] [Indexed: 01/12/2024]
Abstract
BACKGROUND Internet-based cognitive-behavioural therapy (iCBT) is effective for subthreshold depression. However, iCBT has problems with adherence, especially when unaccompanied by human guidance. Knowledge on how to enhance adherence to iCBT without human involvement can contribute to improving the effectiveness of iCBT. OBJECTIVE This is an implementation study to examine the effect of an automated chatbot to improve the adherence rate of iCBT. METHODS We developed a chatbot to increase adherence to an existing iCBT programme, and a randomised controlled trial was conducted with two groups: one group using iCBT plus chatbot (iCBT+chatbot group) and one group not using the chatbot (iCBT group). Participants were full-time employees with subthreshold depression working in Japan (n=149, age mean=41.4 (SD=11.1)). The primary endpoint was the completion rate of the iCBT programme at 8 weeks. FINDINGS We analysed data from 142 participants for the primary outcome. The completion rate of the iCBT+chatbot group was 34.8% (24/69, 95% CI 23.5 to 46.0), that of the iCBT group was 19.2% (14/73, 95% CI 10.2 to 28.2), and the risk ratio was 1.81 (95% CI 1.02 to 3.21). CONCLUSIONS Combining iCBT with a chatbot increased participants' iCBT completion rate. CLINICAL IMPLICATIONS Encouraging messages from the chatbot could improve participation in an iCBT programme. Further studies are needed to investigate whether chatbots can improve adherence to the programme in the long term and to assess their impact on depression, anxiety and well-being. TRIAL REGISTRATION NUMBER UMIN000047621.
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Affiliation(s)
- Sakiko Yasukawa
- Technology Development Laboratories, Sony Corporation, Tokyo, Japan
| | - Taku Tanaka
- Technology Development Laboratories, Sony Corporation, Tokyo, Japan
| | - Kenji Yamane
- Technology Development Laboratories, Sony Corporation, Tokyo, Japan
| | - Ritsuko Kano
- Technology Development Laboratories, Sony Corporation, Tokyo, Japan
| | - Masatsugu Sakata
- Department of Health Promotion and Human Behavior, Kyoto University Graduate School of Medicine/School of Public Health, Kyoto, Japan
| | - Hisashi Noma
- Department of Data Science, The Institute of Statistical Mathematics, Tokyo, Japan
| | - Toshi A Furukawa
- Department of Health Promotion and Human Behavior, Kyoto University Graduate School of Medicine/School of Public Health, Kyoto, Japan
| | - Takuya Kishimoto
- Technology Development Laboratories, Sony Corporation, Tokyo, Japan
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11
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Schreiter S, Mascarell-Maricic L, Rakitzis O, Volkmann C, Kaminski J, Daniels MA. Digital Health Applications in the Area of Mental Health. DEUTSCHES ARZTEBLATT INTERNATIONAL 2023; 120:797-803. [PMID: 37732500 PMCID: PMC10777310 DOI: 10.3238/arztebl.m2023.0208] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/09/2023] [Revised: 09/06/2023] [Accepted: 09/06/2023] [Indexed: 09/22/2023]
Abstract
BACKGROUND The introduction of digital health applications (DiGA) is a fundamental innovation in Germany. In the field of mental health, numerous applications are already available whose efficacy has been tested in clinical trials. We investigated whether, and to what extent, the use of DiGA can be recommended on the basis of the available evidence. METHODS In this scoping review, we summarize the evidence supporting the use of DiGA in the mental health field through an examination of relevant publications that were retrieved by a systematic literature search. We provide an annotated tabular listing and discuss the current advantages of, and obstacles to, the care of mentally ill patients with the aid of DiGA. RESULTS We identified 17 DiGA for use in depression, anxiety disorders, addiction disorders, sleep disorders, stress/burnout, vaginismus, and chronic pain. These DiGA have been evaluated to date in 3 meta-analyses, 39 randomized controlled trials (RCTs), and two single-armed intervention trials. 23 of the 36 published trials were carried out with the direct participation of the manufacturers. 29 of the 39 RCTs were not blinded or contained no information regarding blinding. Active controls were used in 6 of the 39 RCTs. The reported effect sizes, with the exclusion of pre-post analyses, ranged from 0.16 to 1.79. CONCLUSION Most of the published studies display a high risk of bias, both because of the manufacturers' participation and because of methodological deficiencies. DiGA are an increasingly important therapeutic modality in psychiatry. The available evidence indicates that treatment effects are indeed present, but prospective comparisons with established treatments are still entirely lacking.
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Affiliation(s)
- Stefanie Schreiter
- Department of Psychiatry and Neurosciences, CCM, Charité – Universitätsmedizin Berlin, Berlin, Germany
| | - Lea Mascarell-Maricic
- Department of Psychiatry and Neurosciences, CCM, Charité – Universitätsmedizin Berlin, Berlin, Germany
| | - Orestis Rakitzis
- Department of Psychiatry and Neurosciences, CCM, Charité – Universitätsmedizin Berlin, Berlin, Germany
| | - Constantin Volkmann
- Department of Psychiatry and Neurosciences, CCM, Charité – Universitätsmedizin Berlin, Berlin, Germany
| | - Jakob Kaminski
- * These authors share last authorship
- Department of Psychiatry and Neurosciences, CCM, Charité – Universitätsmedizin Berlin, Berlin, Germany
| | - Martin André Daniels
- * These authors share last authorship
- Department of Psychiatry and Neurosciences, CCM, Charité – Universitätsmedizin Berlin, Berlin, Germany
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Parchuri E, Nardo E, O'Brien J, Crosby L, Porter J, Palermo T, Nikolajski CE, Treadwell M, Hillery C, Szigethy E, Jonassaint C. The Effect of an Adapted Digital Mental Health Intervention for Sickle Cell Disease on Engagement: A Pilot Randomized Controlled Trial. RESEARCH SQUARE 2023:rs.3.rs-3073103. [PMID: 37461733 PMCID: PMC10350243 DOI: 10.21203/rs.3.rs-3073103/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/24/2023]
Abstract
INTRODUCTION Despite promising outcomes, lack of engagement and poor adherence are barriers to treating mental health using digital CBT, particularly in minority groups. After conducting guided focus groups, a current mental health app was adapted to be more inclusive for minorities living with SCD. METHODS Patients between the ages of 16-35 with SCD who reported experiencing anxiety or depression symptoms were eligible for this study. Once enrolled, participants were randomly assigned to receive one of two versions of a mental health app 1) the current version designed for the general population and 2) the adapted version. Baseline measures for depression, anxiety, pain and self-efficacy were completed at the start of the study and again at postintervention (minimum 4 weeks). RESULTS Compared to baseline, pain (p = 0.03), self-efficacy (p = 0.007) and depression symptoms (p = 0.016) improved for the group that received the adapted app. Regardless of group assignment, a positive relationship (r = 0.47) was shown between app engagement and a change in depression symptoms (p = 0.042). DISCUSSION Target enrollment for this study sought to enroll 40 participants. However, after difficulties locating qualified participants, enrollment criteria were adjusted to expand the population pool. Regardless of these efforts, the sample size for this study was still smaller than anticipated (n = 21). Additionally, irrespective of group approximately 40% of participants did not engage with the app. However, despite a small sample size and poor engagement, participants in the intervention group displayed better outcomes and showed trends for greater app interaction. CONCLUSION These promising results should encourage future researchers to continue exploring ideal adaptations for implementing digital CBT in minority populations. Future studies should also consider implementing post-intervention surveys to help identify common factors relating to a lack of engagement.
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Kulikov VN, Crosthwaite PC, Hall SA, Flannery JE, Strauss GS, Vierra EM, Koepsell XL, Lake JI, Padmanabhan A. A CBT-based mobile intervention as an adjunct treatment for adolescents with symptoms of depression: a virtual randomized controlled feasibility trial. Front Digit Health 2023; 5:1062471. [PMID: 37323125 PMCID: PMC10262850 DOI: 10.3389/fdgth.2023.1062471] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2022] [Accepted: 04/27/2023] [Indexed: 06/17/2023] Open
Abstract
Background High rates of adolescent depression demand for more effective, accessible treatment options. A virtual randomized controlled trial was used to assess the feasibility and acceptability of a 5-week, self-guided, cognitive behavioral therapy (CBT)-based mobile application, Spark, compared to a psychoeducational mobile application (Active Control) as an adjunct treatment for adolescents with depression during the COVID-19 pandemic. Methods A community sample aged 13-21, with self-reported symptoms of depression, was recruited nationwide. Participants were randomly assigned to use either Spark or Active Control (NSpark = 35; NActive Control = 25). Questionnaires, including the PHQ-8 measuring depression symptoms, completed before, during, and immediately following completion of the intervention, evaluated depressive symptoms, usability, engagement, and participant safety. App engagement data were also analyzed. Results 60 eligible adolescents (female = 47) were enrolled in 2 months. 35.6% of those expressing interest were consented and all enrolled. Study retention was high (85%). Spark users rated the app as usable (System Usability Scalemean = 80.67) and engaging (User Engagement Scale-Short Formmean = 3.62). Median daily use was 29%, and 23% completed all levels. There was a significant negative relationship between behavioral activations completed and change in PHQ-8. Efficacy analyses revealed a significant main effect of time, F = 40.60, p < .001, associated with decreased PHQ-8 scores over time. There was no significant Group × Time interaction (F = 0.13, p = .72) though the numeric decrease in PHQ-8 was greater for Spark (4.69 vs. 3.56). No serious adverse events or adverse device effects were reported for Spark users. Two serious adverse events reported in the Active Control group were addressed per our safety protocol. Conclusion Recruitment, enrollment, and retention rates demonstrated study feasibility by being comparable or better than other mental health apps. Spark was highly acceptable relative to published norms. The study's novel safety protocol efficiently detected and managed adverse events. The lack of significant difference in depression symptom reduction between Spark and Active Control may be explained by study design and study design factors. Procedures established during this feasibility study will be leveraged for subsequent powered clinical trials evaluating app efficacy and safety. Clinical Trial Registration https://clinicaltrials.gov/ct2/show/NCT04524598.
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Affiliation(s)
- Vera N. Kulikov
- Research Department, Limbix Health, San Francisco, CA, United States
| | | | - Shana A. Hall
- Research Department, Limbix Health, San Francisco, CA, United States
| | | | | | - Elise M. Vierra
- Content Department, Limbix Health, San Francisco, CA, United States
| | - Xin L. Koepsell
- Content Department, Limbix Health, San Francisco, CA, United States
| | - Jessica I. Lake
- Science Department, Limbix Health, San Francisco, CA, United States
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