The Evaluation of Artificial Intelligence in Lifestyle Management of Diabetic Patients in Community
Application and Effectiveness Evaluation of Artificial Intelligence in Lifestyle Management of Diabetic Patients of Community
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Detailed Description
Study Type
Study Type
Enrollment (Estimated)
Enrollment
Phase
Phase
- Not Applicable
Contacts and Locations
Study Contact
Study Contact
- Name: Jinbo Hu, PhD
- Phone Number: +86 023-89011552
- Email: hujinbo_568@163.com
Study Contact Backup
- Name: Bing Kang, PhD
- Phone Number: +86 023-89011552
- Email: kangbing@hospital.cqmu.edu.cn
Study Locations
-
-
Chongqing
-
Chongqing, Chongqing, China, 400016
- Jinbo Hu
-
Contact:
- Jinbo Hu, PhD
- Phone Number: 02389011552
- Email: hujinbo_568@163.com
-
Principal Investigator:
- Jinbo Hu, PhD
-
-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Description
Inclusion Criteria:
- Well informed of the procedures of this trial and informed consent is obtained
- 18-80 years old, gender is not limited
- Diagnosed diabetes (according to WHO1999 diagnostic criteria)
- Well compliance
Exclusion Criteria:
- Pregnant or lactating
- Poor blood glucose control (HbA1c>11%)
- A history of malignant tumor
- Abnormal liver or renal function [defined as alanine aminotransferase (ALT)>2.5 times higher than normal range, or eGFR<30 mL/min per 1.73 m2]
- Poor blood pressure control [systolic blood pressure (SBP)>180mmHg, or diastolic blood pressure (DBP)>110mmHg
- With severe heart disease, cardiac function worse than grade II, anemia (Hb<9.0g/d1)
- Blood routine test indicates that the white blood cell count (WBC) <3*109/L
- Body Mass Index (BMI)<18.5 or ≥35kg/m2
- Drug or alcohol abuse
- Accompanying mental disorder who can't collaborate
- Abnormal digestion and absorption function
- Other endocrine diseases
- Other chronic diseases needed long-term glucocorticoid treatment
- With severe infection, immune dysfunction
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Other
- Allocation: Randomized
- Interventional Model: Parallel Assignment
- Masking: Single
Number of Arms
Arms and Interventions
Participant Group / ArmParticipant Group / Arm |
Intervention / TreatmentIntervention / Treatment |
|---|---|
|
Experimental: Intervention group
giving personalized lifestyle intervention suggestions through AI
|
The experimental group completed the basic information, diet structure, use of dietary supplements, living habits, and exercise according to the AI scale (AI scale can be entered through we-chat mini program search), and provided personalized lifestyle intervention plan according to the survey result.
|
|
No Intervention: Control group
giving routine lifestyle suggestions
|
What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Change of HbA1c
Time Frame: one year
|
Change of HbA1c from baseline to endpoint (1 year follow-up)
|
one year
|
Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Change of systolic blood pressure
Time Frame: one year
|
Change of systolic blood pressure from baseline to endpoint
|
one year
|
|
Change of diastolic blood pressure
Time Frame: one year
|
Reduction of diastolic blood pressure from baseline to endpoint
|
one year
|
|
Change of LDL-c
Time Frame: one year
|
Change of LDL-c from baseline to endpoint
|
one year
|
Collaborators and Investigators
Sponsor
Sponsor
Investigators
Investigators
- Study Chair: Jinbo Hu, PhD, First Affiliated Hospital of Chongqing Medical University
Publications and helpful links
General Publications
- Arambepola C, Ricci-Cabello I, Manikavasagam P, Roberts N, French DP, Farmer A. The Impact of Automated Brief Messages Promoting Lifestyle Changes Delivered Via Mobile Devices to People with Type 2 Diabetes: A Systematic Literature Review and Meta-Analysis of Controlled Trials. J Med Internet Res. 2016 Apr 19;18(4):e86. doi: 10.2196/jmir.5425.
- Nundy S, Dick JJ, Chou CH, Nocon RS, Chin MH, Peek ME. Mobile phone diabetes project led to improved glycemic control and net savings for Chicago plan participants. Health Aff (Millwood). 2014 Feb;33(2):265-72. doi: 10.1377/hlthaff.2013.0589.
- Viguiliouk E, Kendall CW, Kahleova H, Rahelic D, Salas-Salvado J, Choo VL, Mejia SB, Stewart SE, Leiter LA, Jenkins DJ, Sievenpiper JL. Effect of vegetarian dietary patterns on cardiometabolic risk factors in diabetes: A systematic review and meta-analysis of randomized controlled trials. Clin Nutr. 2019 Jun;38(3):1133-1145. doi: 10.1016/j.clnu.2018.05.032. Epub 2018 Jun 13.
- Dobson R, Whittaker R, Jiang Y, Maddison R, Shepherd M, McNamara C, Cutfield R, Khanolkar M, Murphy R. Effectiveness of text message based, diabetes self management support programme (SMS4BG): two arm, parallel randomised controlled trial. BMJ. 2018 May 17;361:k1959. doi: 10.1136/bmj.k1959.
- Wu Y, Min H, Li M, Shi Y, Ma A, Han Y, Gan Y, Guo X, Sun X. Effect of Artificial Intelligence-based Health Education Accurately Linking System (AI-HEALS) for Type 2 diabetes self-management: protocol for a mixed-methods study. BMC Public Health. 2023 Jul 11;23(1):1325. doi: 10.1186/s12889-023-16066-z.
- Toi PL, Anothaisintawee T, Chaikledkaew U, Briones JR, Reutrakul S, Thakkinstian A. Preventive Role of Diet Interventions and Dietary Factors in Type 2 Diabetes Mellitus: An Umbrella Review. Nutrients. 2020 Sep 6;12(9):2722. doi: 10.3390/nu12092722.
- Sarkar U, Karter AJ, Liu JY, Adler NE, Nguyen R, Lopez A, Schillinger D. The literacy divide: health literacy and the use of an internet-based patient portal in an integrated health system-results from the diabetes study of northern California (DISTANCE). J Health Commun. 2010;15 Suppl 2(Suppl 2):183-96. doi: 10.1080/10810730.2010.499988.
- Chiavaroli L, Lee D, Ahmed A, Cheung A, Khan TA, Blanco S, Mejia, Mirrahimi A, Jenkins DJA, Livesey G, Wolever TMS, Rahelic D, Kahleova H, Salas-Salvado J, Kendall CWC, Sievenpiper JL. Effect of low glycaemic index or load dietary patterns on glycaemic control and cardiometabolic risk factors in diabetes: systematic review and meta-analysis of randomised controlled trials. BMJ. 2021 Aug 4;374:n1651. doi: 10.1136/bmj.n1651. Erratum In: BMJ. 2021 Aug 26;374:n2114.
- Wagner EH, Sandhu N, Newton KM, McCulloch DK, Ramsey SD, Grothaus LC. Effect of improved glycemic control on health care costs and utilization. JAMA. 2001 Jan 10;285(2):182-9. doi: 10.1001/jama.285.2.182.
Study record dates
Study Major Dates
Study Start (Estimated)
Study Start
Primary Completion (Estimated)
Primary Completion
Study Completion (Estimated)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Other Study ID Numbers
Other Study ID Numbers
- BDT-CDR
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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