Evidence map›Paper›PMID 35577537›Full record

Trial reportEvidence-based mental health2022

Components of smartphone cognitive-behavioural therapy for subthreshold depression among 1093 university students: a factorial trial.

Masatsugu Sakata, Rie Toyomoto, Kazufumi Yoshida, Yan Luo, Yukako Nakagami, Teruhisa Uwatoko, Tomonari Shimamoto, Aran Tajika, Hidemichi Suga, Hiroshi Ito and 17 more

Open access · hybridAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Evidence-based mental health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 2 pooled it
5.9field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

25 citing papers in PubMed, 2 syntheses or guidelines pooled it, 41 citations in OpenAlex.

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  10. Big data and psychiatry: advances, constraints and future directions.World psychiatry : official journal of the World Psychiatric Association (WPA) · 2026
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  11. Identifying the active ingredients of a behavioral activation-based digital single-session intervention targeting depression.Clinical psychological science : a journal of the Association for Psychological Science · 2026
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  13. Innovations to improve outcomes and uptake of psychotherapies for mental disorders: a state-of-the-art review.World psychiatry : official journal of the World Psychiatric Association (WPA) · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

27 authors at 12 institutions in 3 countries.

Masatsugu SakataDepartment of Health Promotion and Human Behavior, Kyoto University Graduate School of Medicine/School of Public Health, Kyoto, Japan.
Rie ToyomotoDepartment of Health Promotion and Human Behavior, Kyoto University Graduate School of Medicine/School of Public Health, Kyoto, Japan.
Kazufumi YoshidaDepartment of Health Promotion and Human Behavior, Kyoto University Graduate School of Medicine/School of Public Health, Kyoto, Japan.
Yan LuoDepartment of Health Promotion and Human Behavior, Kyoto University Graduate School of Medicine/School of Public Health, Kyoto, Japan.
Yukako NakagamiKyoto University Health Service, Kyoto, Japan.
Teruhisa UwatokoDepartment of Psychiatry, Kyoto University Hospital, Kyoto, Japan.
Tomonari ShimamotoKyoto University Health Service, Kyoto, Japan.
Aran TajikaDepartment of Health Promotion and Human Behavior, Kyoto University Graduate School of Medicine/School of Public Health, Kyoto, Japan.
Hidemichi SugaJunior Collage, Ryukoku University, Kyoto, Japan.
Hiroshi ItoRitsumeikan Medical Service Center, Kyoto, Japan.
Michihisa SumiRitsumeikan Medical Service Center, Kyoto, Japan.
Takashi MutoFaculty of Psychology, Doshisha University, Kyoto, Japan.
Masataka ItoDepartment of Life Design, Biwako Gakuin University, Higashiomi, Japan.
Hiroshi IchikawaDepartment of Medical Life Systems, Doshisha University, Kyoto, Japan.
Masaya IkegawaDepartment of Medical Life Systems, Doshisha University, Kyoto, Japan.
Nao ShiraishiDepartment of Psychitary and Cognitive-Behavioral Medicine, Nagoya City University, Nagoya, Japan.
Takafumi WatanabeDepartment of Psychitary and Cognitive-Behavioral Medicine, Nagoya City University, Nagoya, Japan.
Ethan SahkerDepartment of Health Promotion and Human Behavior, Kyoto University Graduate School of Medicine/School of Public Health, Kyoto, Japan.
Yusuke OgawaDepartment of Healthcare Epidemiology, Kyoto University Graduate School of Medicine / School of Public Health, Kyoto, Japan.
Steven D HollonDepartment of Psychology, Vanderbilt University, Nashville, TN, USA.
Linda M CollinsDepartment of Scoial and Behavioral Sciences, School of Global Public Health, New York University, New York, NY, USA.
Edward R WatkinsDepartment of Psychology, University of Exeter, Exeter, UK.
James WasonPopulation Health Scineces Institute, Newcastle University, Newcastle upon Tyne, UK.
Hisashi NomaInstitute of Statistical Mathematics, Tachikawa, Tokyo, Japan.
Masaru HorikoshiNational Center of Neurology and psychiatry/National Center for Cognitive Behavior Therapy and Research, Kodaira, Tokyo, Japan.
Taku IwamiKyoto University Health Service, Kyoto, Japan.
Toshi A FurukawaDepartment of Health Promotion and Human Behavior, Kyoto University Graduate School of Medicine/School of Public Health, Kyoto, Japan furukawa@kuhp.kyoto-u.ac.jp.ORCID 0000-0003-2159-3776
Kyoto University · JPDoshisha University · JPNagoya City University · JPBiwako Gakuin University · JPKyoto University Hospital · JPNational Center of Neurology and Psychiatry · JPNewcastle University · GBNew York University · USRyukoku University · JPThe Institute of Statistical Mathematics · JPUniversity of Exeter · GBVanderbilt University · US

Funding

Medical Research Council MC_UU_00002/6
6 · The paper itself

Abstract

backgroundInternet-based cognitive-behavioural therapy (iCBT) is effective for subthreshold depression. However, which skills provided in iCBT packages are more effective than others is unclear. Such knowledge can inform construction of more effective and efficient iCBT programmes.

objectiveTo examine the efficacy of five components of iCBT for subthreshold depression.

methodsWe conducted an factorial trial using a smartphone app, randomly allocating presence or absence of five iCBT skills including self-monitoring, behavioural activation (BA), cognitive restructuring (CR), assertiveness training (AT) and problem-solving. Participants were university students with subthreshold depression. The primary outcome was the change on the Patient Health Questionnaire-9 (PHQ-9) from baseline to week 8. Secondary outcomes included changes in CBT skills.

findingsWe randomised a total of 1093 participants. In all groups, participants had a significant PHQ-9 reduction from baseline to week 8. Depression reduction was not significantly different between presence or absence of any component, with corresponding standardised mean differences (negative values indicate specific efficacy in favour of the component) ranging between -0.04 (95% CI -0.16 to 0.08) for BA and 0.06 (95% CI -0.06 to 0.18) for AT. Specific CBT skill improvements were noted for CR and AT but not for the others.

conclusionsThere was significant reduction in depression for all participants regardless of the presence and absence of the examined iCBT components. CLINICAL IMPLICATION: We cannot yet make evidence-based recommendations for specific iCBT components. We suggest that future iCBT optimisation research should scrutinise the amount and structure of components to examine. TRIAL REGISTRATION NUMBER: UMINCTR-000031307.

Indexed as

Cognitive Behavioral TherapyDepressionHumansInternetSmartphoneStudentsTreatment OutcomeUniversitiesChild & adolescent psychiatryDepression & mood disorders

Identifiers

PMID35577537
PMCPMC9811098
OpenAlexW4280560246

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.