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      Online Mindfulness-Based Cognitive Behavioral Therapy Intervention for Youth With Major Depressive Disorders: Randomized Controlled Trial

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          Abstract

          Background

          Approximately 70% of mental health disorders appear prior to 25 years of age and can become chronic when ineffectively treated. Individuals between 18 and 25 years old are significantly more likely to experience mental health disorders, substance dependencies, and suicidality. Treatment progress, capitalizing on the tendencies of youth to communicate online, can strategically address depressive disorders.

          Objective

          We performed a randomized controlled trial (RCT) that compared online mindfulness-based cognitive behavioral therapy (CBT-M) combined with standard psychiatric care to standard psychiatric care alone in youth (18-30 years old) diagnosed with major depressive disorder.

          Methods

          Forty-five participants were randomly assigned to CBT-M and standard care (n=22) or to standard psychiatric care alone (n=23). All participants were provided standard psychiatric care (ie, 1 session per month), while participants in the experimental group received an additional intervention consisting of the CBT-M online software program. Interaction with online workbooks was combined with navigation coaching delivered by phone and secure text messaging.

          Results

          In a two-level linear mixed-effects model intention-to-treat analysis, significant between-group differences were found for the Beck Depression Inventory-II score (difference –8.54, P=.01), Quick Inventory of Depressive Symptoms score (difference –4.94, P=.001), Beck Anxiety Inventory score (difference –11.29, P<.001), and Brief Pain Inventory score (difference –1.99, P=.03), while marginal differences were found for the Five Facet Mindfulness Questionnaire–Nonjudging subscale (difference –2.68, P=.05).

          Conclusions

          These results confirm that youth depression can be effectively treated with online CBT-M that can be delivered with less geographic restriction.

          Trial Registration

          Clinical Trials.gov NCT03406052; https://www.clinicaltrials.gov/ct2/show/NCT03406052

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          Most cited references51

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          Principled missing data methods for researchers

          The impact of missing data on quantitative research can be serious, leading to biased estimates of parameters, loss of information, decreased statistical power, increased standard errors, and weakened generalizability of findings. In this paper, we discussed and demonstrated three principled missing data methods: multiple imputation, full information maximum likelihood, and expectation-maximization algorithm, applied to a real-world data set. Results were contrasted with those obtained from the complete data set and from the listwise deletion method. The relative merits of each method are noted, along with common features they share. The paper concludes with an emphasis on the importance of statistical assumptions, and recommendations for researchers. Quality of research will be enhanced if (a) researchers explicitly acknowledge missing data problems and the conditions under which they occurred, (b) principled methods are employed to handle missing data, and (c) the appropriate treatment of missing data is incorporated into review standards of manuscripts submitted for publication.
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            Measures of anxiety: State-Trait Anxiety Inventory (STAI), Beck Anxiety Inventory (BAI), and Hospital Anxiety and Depression Scale-Anxiety (HADS-A).

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              Age, period, and cohort trends in mood disorder indicators and suicide-related outcomes in a nationally representative dataset, 2005–2017.

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                Author and article information

                Contributors
                Journal
                J Med Internet Res
                J Med Internet Res
                JMIR
                Journal of Medical Internet Research
                JMIR Publications (Toronto, Canada )
                1439-4456
                1438-8871
                March 2021
                10 March 2021
                : 23
                : 3
                : e24380
                Affiliations
                [1 ] School of Kinesiology and Health Sciences York University Toronto, ON Canada
                [2 ] Department of Psychology York University Toronto, ON Canada
                [3 ] Department of Psychiatry University of Toronto Toronto, ON Canada
                [4 ] Centre for Addiction and Mental Health Toronto, ON Canada
                [5 ] Temerty Centre for Therapeutic Brain Intervention Centre for Addiction and Mental Health Toronto, ON Canada
                [6 ] THETA Collaborative University Health Network University of Toronto Toronto, ON Canada
                [7 ] Biostatistics Unit University Health Network University of Toronto Toronto, ON Canada
                [8 ] Aboriginal Engagement and Outreach Centre for Addiction and Mental Health Toronto, ON Canada
                [9 ] Department of Psychology University of Toronto Toronto, ON Canada
                [10 ] Department of Psychiatry University of California San Diego La Jolla, CA United States
                [11 ] Mood and Anxiety Ambulatory Services Centre for Addiction and Mental Health Toronto, ON Canada
                Author notes
                Corresponding Author: Zafiris Daskalakis zdaskalakis@ 123456health.ucsd.edu
                Author information
                https://orcid.org/0000-0003-1141-0083
                https://orcid.org/0000-0002-1882-4505
                https://orcid.org/0000-0001-5951-9577
                https://orcid.org/0000-0002-0336-506X
                https://orcid.org/0000-0002-9328-6399
                https://orcid.org/0000-0002-0541-8495
                https://orcid.org/0000-0003-2881-4914
                https://orcid.org/0000-0002-5589-3470
                https://orcid.org/0000-0002-2069-2177
                https://orcid.org/0000-0002-8686-447X
                https://orcid.org/0000-0003-2134-7911
                https://orcid.org/0000-0001-9502-0538
                Article
                v23i3e24380
                10.2196/24380
                7991990
                33688840
                7408b285-7534-4072-b919-dac21c7fd85a
                ©Paul Ritvo, Yuliya Knyahnytska, Meysam Pirbaglou, Wei Wang, George Tomlinson, Haoyu Zhao, Renee Linklater, Shari Bai, Megan Kirk, Joel Katz, Lillian Harber, Zafiris Daskalakis. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 10.03.2021.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License ( https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on http://www.jmir.org/, as well as this copyright and license information must be included.

                History
                : 21 September 2020
                : 9 October 2020
                : 30 November 2020
                : 10 January 2021
                Categories
                Original Paper
                Original Paper

                Medicine
                intervention study,telemedicine,electronic cbt,clinical trial,depression,cognitive behavioral therapy,cbt,online therapy,online intervention,youth,young adult

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