obesity
Conditions
Interventions
Adding the online guidance using AI and IoT on conventional specific health guidance. i)Record meals on the application and get feed back from AI nutritionist. ii)Record body weights using weight
Sponsors
Japan Agency for Medical Research and Development
WIT Co.Ltd. Houju Memorial Hospital Hokuriku Central Hospital Yawata Medical Center Kanazawa Medical Association Ishikawa Health Service Association
Eligibility
Sex/Gender
All
Inclusion criteria
Inclusion criteria: i)Those who receiving specific health guidance ii)Written informed consent iii)Ability of using smartphone iv)Ability of continual food records
Exclusion criteria
Exclusion criteria: i)Not applicable to take specific health guidance ii)Taking medications for hypertension, dyslipidemia and/or diabetes mellitus iii)Individuals ineligible for the study determined by doctors
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| lipid profile (Total cholesterol, TG, HDL-cholesterol, LDL-cholesterol) | — |
Secondary
| Measure | Time frame |
|---|---|
| i)The proportion of behavior modification from preparation stage to action stage according to the questionnaire. ii)The rate of response to public health nurse after 6 months. iii)The achievement rate of the behavior goal planned at first. iv)The information recorded on application. (The number of recording time and meal, calorie intake, calorie consumption, nutrient composition, step counts, etc) v)metabolic parameters(body weight, blood pressure, HbA1c, fatty acid fraction, lipoprotein fraction) | — |
Countries
Japan
Contacts
Public ContactMitsuhiro Kometani
Kanazawa University Hospital Internal medicine of Endocrinology and Metabolism
Outcome results
None listed