Evidence map›Paper›PMID 40466105›Full record

ArticleJournal of medical Internet research2025

Scaling a Brief Digital Well-Being Intervention (the Big Joy Project) and Sociodemographic Moderators: Single-Group Pre-Post Study.

Darwin A Guevarra, Yoobin Park, Xuhai Xu, Jin Liou, Jolene Smith, Peggy Callahan, Emiliana Simon-Thomas, Elissa S Epel

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Article
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

8 authors.

Darwin A GuevarraDepartment of Psychology, Miami University, Oxford, OH, United States.ORCID https://orcid.org/0000-0002-5093-355X
Yoobin ParkDepartment of Psychiatry and Behavioral Sciences, University of California, San Francisco, San Francisco, CA, United States.ORCID https://orcid.org/0000-0002-2796-3523
Xuhai XuDepartment of Biomedical Informatics, Columbia University, New York, United States.ORCID https://orcid.org/0000-0001-5930-3899
Jin LiouDepartment of Psychiatry and Behavioral Sciences, University of California, San Francisco, San Francisco, CA, United States.ORCID https://orcid.org/0009-0000-6021-6047
Jolene SmithMission: JOY, the JOY Film LLC, Los Angeles, CA, United States.ORCID https://orcid.org/0009-0000-4762-0539
Peggy CallahanMission: JOY, the JOY Film LLC, Los Angeles, CA, United States.ORCID https://orcid.org/0009-0009-1862-6785
Emiliana Simon-ThomasGreater Good Science Center, University of California, Berkeley, Berkeley, United States.ORCID https://orcid.org/0000-0001-5110-0181
Elissa S EpelDepartment of Psychiatry and Behavioral Sciences, University of California, San Francisco, San Francisco, CA, United States.ORCID https://orcid.org/0000-0002-8004-2571

Funding

Advancing Psychosocial & Biobehavioral Approaches to Improve Emotional Well-BeingU24AG072699 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI EPEL, ELISSA S., MENDES, WENDY BERRY · 2021 to 2024
$2.8M
NIA NIH HHS U24 AG072699
6 · The paper itself

Abstract

backgroundEmotional well-being interventions lead to better mental and physical health. However, most of these interventions have been tested on relatively homogeneous samples, with few interventions large enough to examine whether key sociodemographic factors impact outcomes. In addition, barriers to engagement include access and high participant burden. We developed a brief web-based intervention to address these barriers and tested the effects across sociodemographic groups.

objectiveThe study aims to examine the effectiveness of a brief, low-burden digital well-being intervention in improving emotional well-being and health-related outcomes across a diverse global sample. It investigates how key sociodemographic factors, such as age, sex, race and ethnicity, education, financial strain, and subjective social status, moderate intervention effects. The goal is to identify which groups benefit most, informing the scalability and public health potential of digital well-being interventions.

methodsWe conducted a single-group pre-post study spanning from 2022 to 2024 using a web-based, multicomponent, week-long well-being intervention requiring 5 to 10 minutes of daily activity (the Big Joy Project). Using a global convenience sample recruited via open web-based enrollment, we assessed pre-post changes in emotional well-being, positive emotions, happiness agency, perceived stress, self-reported health, and sleep quality. At baseline, participants also reported sociodemographic characteristics. We used mixed-effects linear models to examine pre-post changes in the outcomes and sociodemographic moderators.

resultsThe sample (N=17,598) consisted of individuals from 169 countries and territories, with broad representation across sociodemographic groups; however, the sample was predominantly White, female, and had at least a high school or college education. Following the intervention, participants showed significant within-subjects effect size increases in emotional well-being (d

conclusionsA brief, low-intensity intervention showed meaningful improvements in well-being and stress, comparable to those seen in longer, more intensive digital well-being interventions. Sociodemographic groups that are at higher risk of poor mental health benefited more from the intervention, highlighting its potential for scalable public health impact. Testing this intervention with a randomized controlled trial design will be important.

Indexed as

Mental HealthAdultAgedEmotionsFemaleHumansInternetMaleMiddle AgedSociodemographic FactorsYoung Adultdigital health promotioninternet-based interventionlow-cost interventionmental healthpublic healthsocioeconomic factorssubjective social statuswell-being

Identifiers

PMID40466105
PMCPMC12177429

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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.