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dc.contributor.authorUwatoko, T
dc.contributor.authorLuo, Y
dc.contributor.authorSakata, M
dc.contributor.authorKobayashi, D
dc.contributor.authorSakagami, Y
dc.contributor.authorTakemoto, K
dc.contributor.authorCollins, LM
dc.contributor.authorWatkins, E
dc.contributor.authorHollon, SD
dc.contributor.authorWason, J
dc.contributor.authorNoma, H
dc.contributor.authorHorikoshi, M
dc.contributor.authorKawamura, T
dc.contributor.authorIwami, T
dc.contributor.authorFurukawa, TA
dc.date.accessioned2019-06-20T14:41:54Z
dc.date.issued2018-07-04
dc.description.abstractBackground: Youth in general and college life in particular are characterized by new educational, vocational, and interpersonal challenges, opportunities, and substantial stress. It is estimated that 30-50% of university students meet criteria for some mental disorder, especially depression, in any given year. The university has traditionally provided many channels to promote students' mental health, but until now only a minority have sought such help, possibly owing to lack of time and/or to stigma related to mental illness. Smartphone-delivered cognitive behavioral therapy (CBT) shows promise for its accessibility and effectiveness. However, its most effective components and for whom it is more (or less) effective are not known. Methods/design: Based on the multiphase optimization strategy framework, this study is a parallel-group, multicenter, open, fully factorial trial examining five smartphone-delivered CBT components (self-monitoring, cognitive restructuring, behavioral activation, assertion training, and problem solving) among university students with elevated distress, defined as scoring 5 or more on the Patient Health Questionnaire-9 (PHQ-9). The primary outcome is change in PHQ-9 scores from baseline to week 8. We will estimate specific efficacy of the five components and their interactions through the mixed-effects repeated-measures analysis and propose the most effective and efficacious combinations of components. Effect modification by selected baseline characteristics will be examined in exploratory analyses. Discussion: The highly efficient experimental design will allow identification of the most effective components and the most efficient combinations thereof among the five components of smartphone CBT for university students. Pragmatically, the findings will help make the most efficacious CBT package accessible to a large number of distressed university students at reduced cost; theoretically, they will shed light on the underlying mechanisms of CBT and help further advance CBT for depression.en_GB
dc.identifier.citationVol. 19: 353en_GB
dc.identifier.doi10.1186/s13063-018-2719-z
dc.identifier.urihttp://hdl.handle.net/10871/37603
dc.language.isoenen_GB
dc.publisherBMCen_GB
dc.rightsThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.en_GB
dc.titleHealthy Campus Trial: A multiphase optimization strategy (MOST) fully factorial trial to optimize the smartphone cognitive behavioral therapy (CBT) app for mental health promotion among university students: Study protocol for a randomized controlled trialen_GB
dc.typeArticleen_GB
dc.date.available2019-06-20T14:41:54Z
dc.identifier.issn1745-6215
dc.descriptionThis is the final version. Available from the publisher via the DOI in this record.en_GB
dc.descriptionAfter the publication of the primary findings, the de-identified and completely anonymized individual participant-level dataset will be posted on the UMIN-ICDR website (http://www.umin.ac.jp/icdr/index-j.html) so that it can be accessed by qualified researchers.en_GB
dc.identifier.journalTrialsen_GB
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_GB
dcterms.dateAccepted2018-06-01
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2018-07-04
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2019-06-20T14:39:01Z
refterms.versionFCDVoR
refterms.dateFOA2019-06-20T14:42:00Z
refterms.panelAen_GB


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This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
Except where otherwise noted, this item's licence is described as This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.