Evidence map›Paper›PMID 32735221›Full record

Trial reportJMIR mHealth and uHealth2020

Effectiveness of a Mobile App Intervention for Anxiety and Depression Symptoms in University Students: Randomized Controlled Trial.

Tayla McCloud, Rebecca Jones, Gemma Lewis, Vaughan Bell, Elias Tsakanikos

Registry-linked trialOpen access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in JMIR mHealth and uHealth, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03032952 (The Efficacy of a Mobile Application for Treating Depression and Anxiety Symptoms in University Students), which is not on this map. Cited by 53 papers, 10 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
53citing papers in PubMed, 10 pooled it
7.0field-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.

NCT03032952 nacompletednot on this map

The Efficacy of a Mobile Application for Treating Depression and Anxiety Symptoms in University Students

TypeinterventionalSponsorUniversity College, LondonRan2016 to 2016Enrolled168ConditionsStress, Psychological, Depression, AnxietyArms"Feel Stress Free" mobile application
3 · Its place in the literature

Who cites it

53 citing papers in PubMed, 10 syntheses or guidelines pooled it, 110 citations in OpenAlex.

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  2. Early-stage profiles of adolescent mental health difficulties and well-being: A systematic review of cluster analyses in large school and community samples.Journal of research on adolescence : the official journal of the Society for Research on Adolescence · 2025
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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

5 authors at 2 institutions in 1 country.

Tayla McCloudDivision of Psychiatry, University College London, London, United Kingdom.ORCID 0000-0002-2739-6207
Rebecca JonesDivision of Psychiatry, University College London, London, United Kingdom.ORCID 0000-0001-6924-0924
Gemma LewisDivision of Psychiatry, University College London, London, United Kingdom.ORCID 0000-0001-6666-3681
Vaughan BellDivision of Psychology & Language Sciences, University College London, London, United Kingdom.ORCID 0000-0001-8616-4847
Elias TsakanikosHealth Service and Population Research Department, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, United Kingdom.ORCID 0000-0002-7792-5402
University College London · GBKing's College London · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDepression and anxiety symptoms are common among university students, but many do not receive treatment. This is often because of lack of availability, reluctance to seek help, and not meeting the diagnostic criteria required to access services. Internet-based interventions, including smartphone apps, can overcome these issues. However, a large number of apps are available, each with little evidence of their effectiveness.

objectiveThis study aims to evaluate for the first time the effectiveness of a self-guided mobile app, Feel Stress Free, for the treatment of depression and anxiety symptoms in students.

methodsA web-based randomized controlled trial compared a cognitive behavioral therapy (CBT)-based mobile app Feel Stress Free with a wait-list control. University students self-identified as experiencing symptoms of anxiety or depression and were randomized to 6 weeks of intervention (n=84) or control (n=84), unblinded. The app is self-guided and incorporates behavioral relaxation activities, mood tracking and thought challenging, and minigames. Participants completed the Hospital Anxiety and Depression Scale online at baseline and every fortnight.

resultsAt week 6, the primary end point, there was evidence that the Feel Stress Free app reduced depression symptoms (mean difference -1.56; 95% CI -2.67 to -0.44; P=.006) but only very weak evidence that it reduced anxiety symptoms (mean difference -1.36; 95% CI -2.93 to 0.21; P=.09). At week 4, there was evidence to support the effectiveness of the intervention for anxiety symptoms (mean difference -1.94; 95% CI -3.11 to -0.77; P=.001) and, though weaker, depression symptoms (mean difference -1.08; 95% CI -2.12 to -0.04; P=.04). At week 6, 83% (34/41) of participants indicated that they were using the app weekly or more frequently.

conclusionsThe Feel Stress Free app is a promising mobile intervention for treating symptoms of anxiety and depression in students and overcomes many of the barriers to traditional CBT. Further research is needed to establish its effectiveness at and beyond 6 weeks.

trial registrationClinicalTrials.gov NCT03032952; https://clinicaltrials.gov/ct2/show/NCT03032952.

Indexed as

Mobile ApplicationsAnxietyDepressionFemaleHumansMaleStudentsUniversitiesYoung Adultanxietycognitive behavioral therapydepressioneHealthmobile appsmobile phoneonline interventionrandomized controlled trial

Identifiers

PMID32735221
PMCPMC7428915
OpenAlexW3046610632

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.