ArticleEnvironmental and occupational health practice2023
Workers' perceptions of mHealth services for physical activity and mental health: A qualitative study using a text-mining method.
Article in Environmental and occupational health practice, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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.
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.
Who cites it
4 citing papers in PubMed.
- An mHealth Intervention Promoting Physical Activity to Reduce Psychological Distress Among Workers: Randomized Controlled Trial.Journal of medical Internet research · 2026Trial
- Effectiveness and Implementation Outcomes of an mHealth App Aimed at Promoting Physical Activity and Improving Psychological Distress in the Workplace Setting: Cluster-Level Nonrandomized Controlled Trial.JMIR mHealth and uHealth · 2025Article
- Multifaceted ORganizational InterventiONs (M-ORION) project for prevention of depression and anxiety among workers: study protocol for a five-arm cluster randomized controlled trial.BMC public health · 2024Article
- mHealth Intervention to Promote Physical Activity Among Employees Using a Deep Learning Model for Passive Monitoring of Depression and Anxiety: Single-Arm Feasibility Trial.JMIR formative research · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objectives: This study explored the perceptions of workers regarding mobile health (mHealth) services for physical activity and mental health. Methods: Single, online, one-on-one, 60-minute semi-structured interviews were conducted with workers living or working in Tokyo, Japan. The transcribed text corpus of the interviews was used as data to explore their perceptions. The top 200 nouns in the utterances were extracted and modeled using a bag of words (BoW) and embedded into a two-dimensional space. Results: The interviews extracted 476 utterances with 1,294 nouns from the 12 workers (7 males and 5 females). A total of 10 themes were estimated from the top 200 nouns. The participants mostly agreed that physical activity was effective in improving their mental health. They needed individualized, attractive, and easy mHealth services. Other estimated themes were: limited effects of non-leisure physical activity on mental health, lower priority on physical activity rather than sleep and rest, reluctance to share the data within the groups, and difficulties in wearing the devices to measure physical activity due to work rules. Conclusion: Workers' perceptions of mHealth services were consistent with previous findings: the need for individualization, attraction, and ease of use. In the working population, mHealth services for physical activity and mental health should consider working conditions and focus on leisure-time physical activity. Social sharing might not be a mandatory technique because of the private topics and variety of associations between physical activity and mental health.
Indexed as
Identifiers
What OpenQuestion holds
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.