Evidence map›Paper›PMID 40665103›Full record

Trial reportScientific reports2025

Digital mental health intervention for well-being among low-distress workers in small enterprises on a secondary analysis of an RCT.

Natsu Sasaki, Utako Sawada, Sayaka Ogawa, Hajime Takeno, Taichi Shimazu, Akizumi Tsutsumi, Kotaro Imamura

Erratum issuedAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. 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

5 · Who and what money

Authors and funding

7 authors.

Natsu SasakiDepartment of Mental Health, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Utako SawadaDepartment of Nursing, School of Health and Social Services, Saitama Prefectural University, Saitama, Japan.
Sayaka OgawaDepartment of Mental Health, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Hajime TakenoDepartment of Mental Health, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Taichi ShimazuDivision of Behavioral Sciences, National Cancer Center Institute for Cancer Control, National Cancer Center, Tokyo, Japan.
Akizumi TsutsumiDepartment of Public Health, Kitasato University School of Medicine, Sagamihara, Japan.
Kotaro ImamuraDepartment of Mental Health, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan. kouima-tky@umin.ac.jp.

Funding

Japan Society for the Promotion of Science JP22K03168work-related diseases clinical research grant 2020 200401-01
6 · The paper itself

Abstract

Enhancing the well-being of mentally healthy workers (i.e., those with lower psychological distress) is important to prevent mental health conditions, aligning with the trend of occupational positive psychology. No intervention study has investigated the effect of digital health intervention on well-being among workers with low levels of psychological distress in micro- and small-sized enterprises (MSEs). This secondary analysis examined the effectiveness of a fully automated text-based stress management program, "WellBe-LINE," using the LINE app to improve the well-being of employees with low levels of psychological distress in MSEs. It used data from a previous randomized controlled trial (RCT) study. The previous RCT recruited adult Japanese full-time employees at an enterprise with fewer than 50 employees from registered members of a web survey company. From the RCT, only participants with low psychological distress (Kessler 6 score under 4) were employed for the present analyses. Participants in an intervention group received text messages once per week for 8 weeks. Well-being was assessed by the Mental Health Continuum-Short Form (MHC-SF) at baseline, post (2-month), and follow-up (6-month) surveys. A mixed model for repeated measures conditional growth model analysis was conducted using a group*time interaction as an intervention effect. 638 (62.5%) participants with low psychological distress were included in this secondary analysis from the 1,021 total participants. The intervention group showed a significant intervention effect post survey on improving well-being (Cohen's d = 0.19 [95%CI 0.03-0.35], p = 0.016) and social well-being at both the post and follow-up survey with a small effect size (Cohen's d = 0.26 [95%CI: 0.10-0.42], d = 0.17 [0.002-0.34]; respectively). No effect was observed on emotional and psychological well-being. This study suggested that fully automated universal mental health interventions with low intensity may benefit the healthy population. Further research is needed, focusing on the development and evaluation of programs aimed at promoting well-being and positive mental health among mentally healthy workers as part of primary mental health prevention.Trial registration: The study protocol was registered in the UMIN clinical trial registration before starting recruitments: UMIN000050624 (registration date: March 18, 2023) https://center6.umin.ac.jp/cgi-bin/ctr/ctr_view_reg.cgi?recptno=R000057552 .

Indexed as

Mental HealthPsychological DistressStress, PsychologicalAdultFemaleHumansJapanMaleMiddle AgedMobile ApplicationsOccupational HealthText MessagingDigital healthMental healthOccupational healthPublic healthStress preventionWell-being

Identifiers

PMID40665103
PMCPMC12264285

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.