Promoting Physical Activity Among Workers for Better Mental Health: An mHealth Intervention With Deep Learning.

Journal: Journal of UOEH

Volume: 46

Issue: 1

Year of Publication: 2024

Affiliated Institutions:  Department of Public Health, Kitasato University School of Medicine, Japan.

Abstract summary 

There is clear scientific evidence that physical activity helps to prevent depression and anxiety. Utilizing mobile health (mHealth) technologies to enable physical activity is promising, but the evidence of the effectiveness of mHealth interventions on physical activity and mental health is inconsistent. We recently developed a native smartphone app to prevent depression and anxiety by promoting physical activity. One of the app's strengths is that it adopts a deep-learning model and automatically estimates psychological distress from users' physical activity patterns. We conducted a single-arm, 1-month feasibility trial to examine the implementation of the app and its effectiveness in promoting physical activity and improving depression and anxiety. As a result, we did not observe any significant improvement in physical activity or psychological distress. For implementation aspects, the participants used the app less. The conclusion of the presentation is that mHealth interventions are promising for the improvement of physical activity and mental health among workers, but, at this stage, their effectiveness is unclear. There are challenges to be addressed, especially in implementation.

Authors & Co-authors:  Watanabe

Study Outcome 

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Statistics
Citations : 
Authors :  1
Identifiers
Doi : 10.7888/juoeh.46.119
SSN : 0387-821X
Study Population
Male,Female
Mesh Terms
Humans
Other Terms
app;behavioral change;eHealth;feasibility;workplace
Study Design
Study Approach
Country of Study
Publication Country
Japan