Evidence map›Paper›PMID 34155984›Full record

Observational studyJournal of medical Internet research2021

Acceptability and Effectiveness of Artificial Intelligence Therapy for Anxiety and Depression (Youper): Longitudinal Observational Study.

Ashish Mehta, Andrea Nicole Niles, Jose Hamilton Vargas, Thiago Marafon, Diego Dotta Couto, James Jonathan Gross

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in Journal of medical Internet research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed
8.9field-weighted citation impact, top 2% 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

38 citing papers in PubMed, 112 citations in OpenAlex.

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  14. The Mental Health Impacts of Internet Scams.International journal of environmental research and public health · 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

6 authors at 1 institution in 1 country.

Ashish MehtaDepartment of Psychology, Stanford University, Stanford, CA, United States.ORCID 0000-0001-8304-9544
Andrea Nicole NilesYouper, Inc, San Francisco, CA, United States.ORCID 0000-0003-0363-5442
Jose Hamilton VargasYouper, Inc, San Francisco, CA, United States.ORCID 0000-0001-9759-1836
Thiago MarafonYouper, Inc, San Francisco, CA, United States.ORCID 0000-0002-3185-0644
Diego Dotta CoutoYouper, Inc, San Francisco, CA, United States.ORCID 0000-0001-7299-5295
James Jonathan GrossDepartment of Psychology, Stanford University, Stanford, CA, United States.ORCID 0000-0003-3624-3090
Stanford University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundYouper is a widely used, commercially available mobile app that uses artificial intelligence therapy for the treatment of anxiety and depression.

objectiveOur study examined the acceptability and effectiveness of Youper. Further, we tested the cumulative regulation hypothesis, which posits that cumulative emotion regulation successes with repeated intervention engagement will predict longer-term anxiety and depression symptom reduction.

methodsWe examined data from paying Youper users (N=4517) who allowed their data to be used for research. To characterize the acceptability of Youper, we asked users to rate the app on a 5-star scale and measured retention statistics for users' first 4 weeks of subscription. To examine effectiveness, we examined longitudinal measures of anxiety and depression symptoms. To test the cumulative regulation hypothesis, we used the proportion of successful emotion regulation attempts to predict symptom reduction.

resultsYouper users rated the app highly (mean 4.36 stars, SD 0.84), and 42.66% (1927/4517) of users were retained by week 4. Symptoms decreased in the first 2 weeks of app use (anxiety: d=0.57; depression: d=0.46). Anxiety improvements were maintained in the subsequent 2 weeks, but depression symptoms increased slightly with a very small effect size (d=0.05). A higher proportion of successful emotion regulation attempts significantly predicted greater anxiety and depression symptom reduction.

conclusionsYouper is a low-cost, completely self-guided treatment that is accessible to users who may not otherwise access mental health care. Our findings demonstrate the acceptability and effectiveness of Youper as a treatment for anxiety and depression symptoms and support continued study of Youper in a randomized clinical trial.

Indexed as

DepressionMobile ApplicationsAnxietyAnxiety DisordersArtificial IntelligenceHumansacceptabilityanxietydepressiondigital mental health treatmenteffectiveness

Identifiers

PMID34155984
PMCPMC8423345
OpenAlexW3176281181

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.