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Examination of effects and feasibility of behavior change programs using IoT and AI contributing to mental and physical health promotion of employees

Examination of effects and feasibility of behavior change programs using IoT and AI contributing to mental and physical health promotion of employees: Non-randomized, single-arm, pre-and-post design trial (A Pilot Study) - The effects of IoT-based behavioral change program for employees (A Pilot Study)

Status
Active, not recruiting
Phases
Unknown
Study type
Interventional
Source
JPRN
Registry ID
JPRN-UMIN000036226
Enrollment
200
Registered
2019-03-18
Start date
2019-04-01
Completion date
Unknown
Last updated
2026-06-29

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Diabetes, CKS, CVD, Sleep disorder, High stress, Metabolic syndrome

Interventions

1. Disease management program for diabetes, CKD, CVD 2. Improvement of sleep and stress program 3. Antiaging program At first, a face-to-face health education by a nurse is provided. Then particip

Sponsors

Graduate School of Biomedical and Health Sciences
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: Employees from small and midium-sized companies (ACT CHUSHOKU, Co. LTD., Miyoshi Kamotsu Express, FRESTA, Co., LTD., TSUBAME Travel Co., LTD) . (Applicable for all 3 programs) 1. Employees listed above who have consented to participate 2. Those who can participate for 3 months after consent 3. A person who has a device such as a smartphone, tablet terminal, personal computer, etc. that can receive feedback on transmitted data and alert messages Disease Management program: having diagnosis of diatetes, CKD, CVD Improvement of sleep and stress program: having sleep-disorders (self-reported), feeling high stress, depression Antiaging program: Metabolic symdrom, hypertension, Dyslipidemia, BMI > 25, smoker, excessive alcohol drinker, and other who are required to apply the behavior modification program

Exclusion criteria

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

Design outcomes

Primary

MeasureTime frame
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

MeasureTime frame
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)

Countries

Japan

Contacts

Public ContactAyako Toyoshima

Hiroshima University Graduate School of Biomedical and Health Sciences

d161682@hiroshima-u.ac.jp082-257-5365

Outcome results

None listed

Source: JPRN (via WHO ICTRP) · Data processed: Jul 3, 2026