Evidence map›Paper›PMID 41843792›Full record

Trial reportJournal of medical Internet research2026

Effects of Self-Compassion and Mindfulness Interventions on Mental Health and Work-Related Outcomes Among Japanese Workers: Randomized Controlled Trial.

Takumu Kurosawa, Koichiro Adachi, Ryu Takizawa

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Journal of medical Internet research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Takumu Kurosawa *Department of Clinical Psychology, Graduate School of Education, The University of Tokyo, 7-3-1, Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan, 81 03-3812-2111.ORCID http://orcid.org/0000-0003-4528-9234
Koichiro AdachiDepartment of Clinical Psychology, Graduate School of Education, The University of Tokyo, 7-3-1, Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan, 81 03-3812-2111.ORCID http://orcid.org/0009-0007-3445-8772
Ryu Takizawa *Department of Clinical Psychology, Graduate School of Education, The University of Tokyo, 7-3-1, Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan, 81 03-3812-2111.ORCID http://orcid.org/0000-0002-3876-0131

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Mental health problems among workers are a significant global concern, leading to substantial economic losses, particularly due to presenteeism. While mindfulness and self-compassion practices have shown promise in improving psychological well-being and occupational outcomes, traditional interventions often require a high time commitment. Low-intensity digital interventions remain underexplored, especially in the context of occupational health. Objective: This study aimed to develop and evaluate the effectiveness of a smartphone-based self-care app that enables independent practice of mindfulness and self-compassion without facilitator support. Specifically, it assessed the effects of self-compassion meditation (SCM) and mindfulness meditation (MM) on mental health and work-related outcomes among nonclinical Japanese workers. Methods: This open-label, 3-arm randomized controlled trial recruited 300 working adults in Japan, who were randomly assigned to SCM (n=101), MM (n=100), or a waitlist control group (n=99). Participants in the SCM and MM groups engaged in daily guided meditation via a custom-built smartphone app over 4 weeks. Primary outcomes included psychological distress (Kessler Psychological Distress Scale-6) and work performance (World Health Organization Health and Work Performance Questionnaire and the Stanford Presenteeism Scale), while secondary outcomes encompassed cognitive flexibility, self-compassion, perceived stress, work engagement, psychological safety, and self-perceived creativity. Assessments were conducted at baseline, postintervention (4 wk), and 1-month follow-up (8 wk). Recruitment occurred in 2 waves (November 2022-December 2022 and June 2023), with follow-up assessments completed by September 2023. Results: A total of 300 participants (mean age of 35.44, SD 9.14 y; n=180, 60% female) were randomized. Adherence was high in both intervention groups (mean completed days: SCM 23.30, SD 5.58; MM 22.95, SD 6.25), with an overall dropout rate of 21.4%. No significant group × time interactions were detected for most outcomes, although significant main effects of time were observed for several measures, including work performance and self-compassion, with small effect sizes. Within-group analyses suggested broader improvements in the SCM group, whereas changes in the MM group were more limited. In sensitivity analyses using linear mixed-effects models, a significant group × time interaction was detected for work performance, with a larger pre-post improvement in SCM. Conclusions: This low-intensity, fully self-guided, smartphone-based meditation program demonstrated good feasibility, as reflected by high adherence and relatively low attrition. Between-group effects were limited; therefore, the findings should be interpreted as preliminary and do not support strong causal claims of intervention superiority. Clinical significance remains unclear in this nonclinical sample and should be evaluated in future studies.

Indexed as

EmpathyMental HealthMindfulnessAdultEast Asian PeopleFemaleHumansJapanMaleMeditationMiddle AgedMobile ApplicationsSelf Caredigital healthmental healthmindfulnessmobile appsoccupational healthrandomized controlled trialRCTself-compassionwork performance

Identifiers

PMID41843792
PMCPMC12994763

What OpenQuestion holds

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LicenceCC BY
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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.