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      Mental health app boost my mood (BMM) as preventive early intervention for adolescents with (sub)clinical depressive symptoms

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          Abstract

          Background

          Depression is a common mental disorder. Detecting (sub)clinical depressive symptoms in adolescents at an early stage and offering a low-threshold early intervention can minimize the risk of serious and/or long-term depression. As such, a digital intervention can be a low-threshold preventive and early intervention. This study aims to examine whether the Boost My Mood (BMM)-app is a suitable preventive early intervention for adolescents with (sub)clinical depressive symptoms.

          Methods

          This naturalistic single-arm evaluation study ( N = 50) was conducted in adolescents aged 16–21 with (sub)clinical depressive symptoms. Furthermore, the BMM-app was studied in relation to anxiety, worrying, stress, and sleeping problems. An exploratory objective was to determine whether positive expectations and social support are related to app use.

          Results

          The study showed a significant decrease in not only depressive symptoms, but also anxiety, worrying and stress while using the BMM-app. Sleeping problems did not significantly decrease over time while using the BMM-app. The degree of use of the BMM-app and telling significant others about using the BMM-app were both not related to a decrease in depressive symptoms. The BMM-app was used significantly more when the adolescent had told relatives about their depressive symptoms.

          Conclusions

          A digital intervention, such as the BMM-app, can be a low-threshold preventive and early intervention for adolescents with (sub)clinical depressive symptoms. Beneficial effects of the BMM-app were reported on depressive symptoms as well as other aspects of quality of life, such as anxiety, worrying, and stress. Whereas several factors may have played a role in the current findings on depressive symptoms, there are reasons to assume that part of the reduction in symptoms could be attributed to the BMM-app. Although no causality can be assumed, this study is a first step in the implementation of preventive apps in mental health care.

          Supplementary Information

          The online version contains supplementary material available at 10.1186/s12889-024-19666-5.

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          Most cited references69

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          A power primer.

          One possible reason for the continued neglect of statistical power analysis in research in the behavioral sciences is the inaccessibility of or difficulty with the standard material. A convenient, although not comprehensive, presentation of required sample sizes is provided here. Effect-size indexes and conventional values for these are given for operationally defined small, medium, and large effects. The sample sizes necessary for .80 power to detect effects at these levels are tabled for eight standard statistical tests: (a) the difference between independent means, (b) the significance of a product-moment correlation, (c) the difference between independent rs, (d) the sign test, (e) the difference between independent proportions, (f) chi-square tests for goodness of fit and contingency tables, (g) one-way analysis of variance, and (h) the significance of a multiple or multiple partial correlation.
            Bookmark
            • Record: found
            • Abstract: not found
            • Article: not found

            A Global Measure of Perceived Stress

              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Twelve-month and lifetime prevalence and lifetime morbid risk of anxiety and mood disorders in the United States.

              Estimates of 12-month and lifetime prevalence and of lifetime morbid risk (LMR) of the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition, Text Revision (DSM-IV-TR) anxiety and mood disorders are presented based on US epidemiological surveys among people aged 13+. The presentation is designed for use in the upcoming DSM-5 manual to provide more coherent estimates than would otherwise be available. Prevalence estimates are presented for the age groups proposed by DSM-5 workgroups as the most useful to consider for policy planning purposes. The LMR/12-month prevalence estimates ranked by frequency are as follows: major depressive episode: 29.9%/8.6%; specific phobia: 18.4/12.1%; social phobia: 13.0/7.4%; post-traumatic stress disorder: 10.1/3.7%; generalized anxiety disorder: 9.0/2.0%; separation anxiety disorder: 8.7/1.2%; panic disorder: 6.8%/2.4%; bipolar disorder: 4.1/1.8%; agoraphobia: 3.7/1.7%; obsessive-compulsive disorder: 2.7/1.2. Four broad patterns of results are most noteworthy: first, that the most common (lifetime prevalence/morbid risk) lifetime anxiety-mood disorders in the United States are major depression (16.6/29.9%), specific phobia (15.6/18.4%), and social phobia (10.7/13.0%) and the least common are agoraphobia (2.5/3.7%) and obsessive-compulsive disorder (2.3/2.7%); second, that the anxiety-mood disorders with the earlier median ages-of-onset are phobias and separation anxiety disorder (ages 15-17) and those with the latest are panic disorder, major depression, and generalized anxiety disorder (ages 23-30); third, that LMR is considerably higher than lifetime prevalence for most anxiety-mood disorders, although the magnitude of this difference is much higher for disorders with later than earlier ages-of-onset; and fourth, that the ratio of 12-month to lifetime prevalence, roughly characterizing persistence, varies meaningfully in ways consistent with independent evidence about differential persistence of these disorders. Copyright © 2012 John Wiley & Sons, Ltd.
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                Author and article information

                Contributors
                l.willems@ggzoostbrabant.nl
                Journal
                BMC Public Health
                BMC Public Health
                BMC Public Health
                BioMed Central (London )
                1471-2458
                5 August 2024
                5 August 2024
                2024
                : 24
                : 2118
                Affiliations
                [1 ]GGZ Oost Brabant, ( https://ror.org/05p2mb588) P.O. Box 3, Boekel, 5427 ZG The Netherlands
                [2 ]Behavioural Science Institute, Radboud University, ( https://ror.org/016xsfp80) P.O. Box 9104, Nijmegen, 6500 HE The Netherlands
                [3 ]Trimbos-Instituut, ( https://ror.org/02amggm23) P.O. Box 725, Utrecht, 3500 AS The Netherlands
                Article
                19666
                10.1186/s12889-024-19666-5
                11301861
                39103796
                51926953-2dc6-4c37-a9e3-b699903a22cc
                © The Author(s) 2024

                Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, 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 you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. 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-nc-nd/4.0/.

                History
                : 13 October 2023
                : 31 July 2024
                Categories
                Research
                Custom metadata
                © BioMed Central Ltd., part of Springer Nature 2024

                Public health
                depression,adolescents,early intervention,digital intervention,prevention
                Public health
                depression, adolescents, early intervention, digital intervention, prevention

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