Examination of effects and feasibility of behavior change programs using IoT and AI contributing to mental and physical health promotion of employees
Not Applicable
- Conditions
- Diabetes, CKS, CVD, Sleep disorder, High stress, Metabolic syndrome
- Registration Number
- JPRN-UMIN000036226
- Lead Sponsor
- Graduate School of Biomedical and Health Sciences
- Brief Summary
Not available
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- Complete: follow-up complete
- Sex
- All
- Target Recruitment
- 0
Inclusion Criteria
Not provided
Exclusion Criteria
1 Those who can not agree to participation 2 Those who have not been enrolled in the research site for more than one month after consenting 3. Person who has treatment and situation that should be prioritized over this program 4 Persons who are considered by the health management personnel of the company and/or researchers that there is a problem and it is difficult to continue the program
Study & Design
- Study Type
- Interventional
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method As it is an exploratory study, multiple evaluation items are set. 1. Engagement: Program participation agreement rate (at registration) and continuation rate (monthly, 3 months) 2. Behavior change degree (change stage: lifestyle: diet, exercise, smoking cessation, alcohol saving, self-monitoring, medication, regular hospital visit) 3. Implementation rate of self-monitoring (count of self-measurement count and number of feedback) 4. Physiological and behavioral indicators (calorie consumption, sleep, meal management, automatic meal time, pulse / heart rate, conversation volume, activity) Use only collected data items 5. Sleep improvement: Pittsburgh Sleep Quality Index (PSQI) 6. Operational Feasibility of Behavior Change Program Using IoT: Function of IoT and AI Application: Convenience, Satisfaction of Overall Application 7. Qualitative evaluation: Interveiws with management, health management staff, disease management company, association Kenpo, health management adviser)
- Secondary Outcome Measures
Name Time Method The following data collected in epidemiological research (health management evaluation) will also be evaluated secondarily. -Physiological indicators: Advanced Glycation End Products (AGEs), blood pressure, body weight -Work engagement (UWES: Utrecht Work Engagement Scale) score -Presentism/absenteeism (WHO-HPQ, short version) score -Stress (work stress questionnaire (stress check) score -Health literacy scale-Degree of interest in one's own body: Likert scale (0 to 10)