- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT04875780
A Smartphone-based Intervention for Diabetes Prevention in Overweight Chinese Adults With Pre-diabetes
Effects of a Smartphone-based Weight Loss Programme Targeting Chinese Overweight Adults With Pre-diabetes: A Randomized Controlled Trial
Study Overview
Status
Conditions
Detailed Description
Type 2 diabetes (T2DM) is a major global health issue and the cost to community is high and escalating. The Asia-Pacific region carries a high disease burden, with more than 60% of the global diabetic population living in Asian region. The onset of T2DM is gradual, with most individuals progressing through a state of pre-diabetes. A National Survey conducted in China in 2010 revealed that 50.1% of people aged 18 or older have pre-diabetes. People with pre-diabetes, defined as having impaired fasting glucose (IFG), impaired glucose tolerance (IGT) or elevated glycated haemoglobulin (HbA1C) , are at increased risk of developing T2DM and its associated complications, such as heart diseases and retinopathy, which can develop even in the absence of progression to overt T2DM. Hence, it is essential that people with pre-diabetes are targeted for early intervention to prevent T2DM and related complications.
Obesity is a major risk factor for developing T2DM. International trials demonstrate that lifestyle interventions (which includes diet, physical activity and behavioural modification components) targeting at least 5% weight loss in individuals with pre-diabetes can reduce 3-year diabetes incidence by 58%. Growing evidence suggests that smartphones may be a promising platform for delivery of behavioural lifestyle intervention to achieve weight loss.
This project aims to translate the evidence-based diabetes prevention strategies into community setting and utilize mobile health technology to reduce diabetes risks in Hong Kong.
Study Type
Enrollment (Anticipated)
Phase
- Not Applicable
Contacts and Locations
Study Contact
- Name: Dr Mandy Ho
- Phone Number: (+852)39176973
- Email: mandyho1@hku.hk
Study Locations
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Hong Kong, Hong Kong
- Recruiting
- The University of Hong Kong
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Contact:
- Mandy Ho, PhD
- Phone Number: (+852) 39176973
- Email: mandyho1@hku.hk
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Principal Investigator:
- Mandy Ho, PhD
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Sub-Investigator:
- Pui Hing Chau, PhD
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Sub-Investigator:
- Esther Yee Tak Yu
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Sub-Investigator:
- Ming Fai Siu, PhD
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Sub-Investigator:
- Michael Tin Cheung Ying, PhD
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Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Description
Inclusion Criteria:
- Individuals aged 40 - 60 years old
- Overweight (BMI ≥ 23kg/m2) or obese (BMI ≥ 25 kg/m2)
- With at least one blood test result showing IGT (7.8-11.0 mmol/L after a two-hour glucose tolerance test), IFG (fasting glucose 5.6 - 6.9 mmol/L) or impaired HbA1c 5.7% - 6.4%
- Owns a smartphone
- Able to read Chinese and speak Cantonese.
Exclusion Criteria:
- With current or clinical history of T2DM, or with co-morbid conditions that may limit participation in the study, such as recent history of an acute cardiovascular event, uncontrolled hypertension, cancer or major psychiatric or cognitive problems
- Already participating in a weight loss programme
- Receiving drug treatment for pre-diabetes or long-term use of medicines known to influence glucose metabolism (e.g. corticosteroids)
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Prevention
- Allocation: Randomized
- Interventional Model: Parallel Assignment
- Masking: Single
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
|---|---|
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Experimental: Digital diabetes prevention app intervention
Participants will receive web-based diabetes prevention curriculum, virtual social group support and digital tracking via the smartphone app.
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16-week core program consisting of 16 online weekly interactive lessons on diet and physical activity for weight loss. After the completion of the core program, participant can proceed to the 36-week post-core phase. The post-core program provides 8 monthly lessons focusing on maintaining lifestyle habits and weight loss. Participants will be guided to use the smartphone app for goal setting and self-monitoring of diet, physical activity and weight loss. Participants will be demographically matched into online groups of 10-12 persons. Online group discussion board will be set up for participants to discuss goals, share progress and provide supports to each other.
Other Names:
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Active Comparator: Digital weight loss tracking app intervention
Participants will receive the same intervention as the digital diabetes prevention curriculum app group except the web-based diabetes prevention curriculum.
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All participants will be provided the same smartphone app as the intervention group for goal setting and self-monitoring of diet, physical activity and weight loss. Participants will be demographically matched into online groups of 10-12 person. Online group discussion board will be set up for participants to discuss goals, share progress and provide supports to each other.
Other Names:
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Other: Wait-list control (usual care)
Participants will receive usual care in the form of an annual review and blood test, together with general lifestyle advice.
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Participants in the control group will be invited to have an annual review and blood test at baseline, 4 and 12 months and received general lifestyle advices from a registered nurse at a community clinic.
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What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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Percent weight change
Time Frame: % weight change at 4 and 12 months from baseline
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% weight change from baseline
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% weight change at 4 and 12 months from baseline
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Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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Homeostatic Model Assessment of Insulin Resistance (HOMA-IR)
Time Frame: Changes of insulin sensitivity at 12-months from baseline
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Estimated from fasting insulin and fasting glucose, [fasting insulin (uU/mL)*fasting glucose(mmol/L)]/22.5
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Changes of insulin sensitivity at 12-months from baseline
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Fasting insulin
Time Frame: Changes of fasting insulin to 12-months from baseline
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Fasting insulin in mU/L
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Changes of fasting insulin to 12-months from baseline
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Fasting blood glucose (FG)
Time Frame: Changes of FG at 12-months from baseline
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Fasting blood glucose in mmol/L > 8 hours of fasting
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Changes of FG at 12-months from baseline
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Haemoglobin A1C (HbA1C)
Time Frame: Changes of HbA1c at 4 and 12-months from baseline
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HbA1c in %
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Changes of HbA1c at 4 and 12-months from baseline
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Systolic and diastolic blood pressure (SBP, DBP)
Time Frame: Changes of SBP and DBP to 4 and 12-months from baseline
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in mmHg measured by automatic BP monitor
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Changes of SBP and DBP to 4 and 12-months from baseline
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Blood lipid profile
Time Frame: Changesof blood lipid at 12-months from baseline
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fasting blood for total cholesterol, HDL, LDL and triglycerides, all in mmol/L
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Changesof blood lipid at 12-months from baseline
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2hr post OGTT glucose (2hr PP)
Time Frame: Changes of 2hr PP at 12-months from baseline
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Blood glucose in mmol/L 2 hours after OGTT
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Changes of 2hr PP at 12-months from baseline
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Physical activity as assessed by IPAQ
Time Frame: Change in levels of physical activity from baseline to 4 and 12-months
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International physical activity questionnaire short form (IPAQ, Chinese version). A validated 6-item questionnaire to assess the frequency and duration of vigorous intensity activity, moderate intensity activity, and walking. The questionnaire will be scored using established methods (www.ipaq.ki.se). Data will be summarized to report physical activity in categories:
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Change in levels of physical activity from baseline to 4 and 12-months
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Dietary intake as assessed by 24-hour recall
Time Frame: Changes in dietary intake from baseline to 4 and 12-months
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24-hour food recall
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Changes in dietary intake from baseline to 4 and 12-months
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Health-related quality of life (HRQOL) as assessed by SF12
Time Frame: Changes in HRQOL from baseline to 4 and 12-months
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12-item Short Form Survey (SF12 Chinese version). It is a validated scale which provides two summary measures. Physical and Mental Health Composite Scores (PCS & MCS) will be computed using the scores of 12 questions and range from 0 to 100. Higher scores represent better health. |
Changes in HRQOL from baseline to 4 and 12-months
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Central obesity
Time Frame: Changes of waist circumference at 12-months from baseline
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Waist circumference in cm
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Changes of waist circumference at 12-months from baseline
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Percentage body fat as assessed by BIA
Time Frame: Changes of body fat at 12-months from baseline
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Bioelectrical impedance analysis measuring body fat in %
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Changes of body fat at 12-months from baseline
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Smartphone apps user engagement
Time Frame: At 12-months follow-up
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User's overall login frequency and duration to the app and login frequency and duration to each module, as well as the frequency of participation in the group sharing and discussion.
Usage data will be obtained from the apps administrative portal.
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At 12-months follow-up
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User feedback as assessed by an online exit questionnaire
Time Frame: At 12-months follow-up
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An online exit questionnaire will be administered to participants in the intervention group at 12 months.
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At 12-months follow-up
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Other Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Diabetes incidence
Time Frame: At 12-months follow-up
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Oral glucose tolerance test (OGTT) in mmol/L measured 2 hours after 75g oral glucose intake post overnight fast.
Diabetes is defined as FG≥7.0mmol/L or 2hr post OGTT ≥ 11.1mmol/L
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At 12-months follow-up
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Collaborators and Investigators
Sponsor
Investigators
- Principal Investigator: Dr Mandy Ho, The University of Hong Kong, HONG KONG
Publications and helpful links
General Publications
- Knowler WC, Barrett-Connor E, Fowler SE, Hamman RF, Lachin JM, Walker EA, Nathan DM; Diabetes Prevention Program Research Group. Reduction in the incidence of type 2 diabetes with lifestyle intervention or metformin. N Engl J Med. 2002 Feb 7;346(6):393-403. doi: 10.1056/NEJMoa012512.
- Yoon KH, Lee JH, Kim JW, Cho JH, Choi YH, Ko SH, Zimmet P, Son HY. Epidemic obesity and type 2 diabetes in Asia. Lancet. 2006 Nov 11;368(9548):1681-8. doi: 10.1016/S0140-6736(06)69703-1.
- American Diabetes Association. (2) Classification and diagnosis of diabetes. Diabetes Care. 2015 Jan;38 Suppl:S8-S16. doi: 10.2337/dc15-S005. No abstract available.
- Guariguata L, Whiting DR, Hambleton I, Beagley J, Linnenkamp U, Shaw JE. Global estimates of diabetes prevalence for 2013 and projections for 2035. Diabetes Res Clin Pract. 2014 Feb;103(2):137-49. doi: 10.1016/j.diabres.2013.11.002. Epub 2013 Dec 1.
- Mirasol R, Thai AC, Salahuddin AA, Tan K, Deerochanawong C, Mohamed M, Saraswati MR, Sethi BK, Shah S, Soetedjo NN, Suraamornkul S, Tan R, Uddin F. A Consensus of Key Opinion Leaders on the Management of Pre-diabetes in the Asia-Pacific Region. J ASEAN Fed Endocr Soc. 2017;32(1):6-12. doi: 10.15605/jafes.032.01.02. Epub 2017 May 5.
- Chan JC, Zhang Y, Ning G. Diabetes in China: a societal solution for a personal challenge. Lancet Diabetes Endocrinol. 2014 Dec;2(12):969-79. doi: 10.1016/S2213-8587(14)70144-5. Epub 2014 Sep 10.
- Singleton JR, Smith AG, Russell JW, Feldman EL. Microvascular complications of impaired glucose tolerance. Diabetes. 2003 Dec;52(12):2867-73. doi: 10.2337/diabetes.52.12.2867.
- Levitan EB, Song Y, Ford ES, Liu S. Is nondiabetic hyperglycemia a risk factor for cardiovascular disease? A meta-analysis of prospective studies. Arch Intern Med. 2004 Oct 25;164(19):2147-55. doi: 10.1001/archinte.164.19.2147.
- Nathan DM, Davidson MB, DeFronzo RA, Heine RJ, Henry RR, Pratley R, Zinman B; American Diabetes Association. Impaired fasting glucose and impaired glucose tolerance: implications for care. Diabetes Care. 2007 Mar;30(3):753-9. doi: 10.2337/dc07-9920. No abstract available.
- Gong Q, Gregg EW, Wang J, An Y, Zhang P, Yang W, Li H, Li H, Jiang Y, Shuai Y, Zhang B, Zhang J, Gerzoff RB, Roglic G, Hu Y, Li G, Bennett PH. Long-term effects of a randomised trial of a 6-year lifestyle intervention in impaired glucose tolerance on diabetes-related microvascular complications: the China Da Qing Diabetes Prevention Outcome Study. Diabetologia. 2011 Feb;54(2):300-7. doi: 10.1007/s00125-010-1948-9. Epub 2010 Nov 3.
- Lindstrom J, Peltonen M, Eriksson JG, Ilanne-Parikka P, Aunola S, Keinanen-Kiukaanniemi S, Uusitupa M, Tuomilehto J; Finnish Diabetes Prevention Study (DPS). Improved lifestyle and decreased diabetes risk over 13 years: long-term follow-up of the randomised Finnish Diabetes Prevention Study (DPS). Diabetologia. 2013 Feb;56(2):284-93. doi: 10.1007/s00125-012-2752-5. Epub 2012 Oct 24.
- Schoeppe S, Alley S, Van Lippevelde W, Bray NA, Williams SL, Duncan MJ, Vandelanotte C. Efficacy of interventions that use apps to improve diet, physical activity and sedentary behaviour: a systematic review. Int J Behav Nutr Phys Act. 2016 Dec 7;13(1):127. doi: 10.1186/s12966-016-0454-y.
- Sepah SC, Jiang L, Ellis RJ, McDermott K, Peters AL. Engagement and outcomes in a digital Diabetes Prevention Program: 3-year update. BMJ Open Diabetes Res Care. 2017 Sep 7;5(1):e000422. doi: 10.1136/bmjdrc-2017-000422. eCollection 2017.
- Khokhar B, Jones J, Ronksley PE, Armstrong MJ, Caird J, Rabi D. Effectiveness of mobile electronic devices in weight loss among overweight and obese populations: a systematic review and meta-analysis. BMC Obes. 2014 Oct 14;1:22. doi: 10.1186/s40608-014-0022-4. eCollection 2014.
- Azar KM, Lesser LI, Laing BY, Stephens J, Aurora MS, Burke LE, Palaniappan LP. Mobile applications for weight management: theory-based content analysis. Am J Prev Med. 2013 Nov;45(5):583-9. doi: 10.1016/j.amepre.2013.07.005.
- Semper HM, Povey R, Clark-Carter D. A systematic review of the effectiveness of smartphone applications that encourage dietary self-regulatory strategies for weight loss in overweight and obese adults. Obes Rev. 2016 Sep;17(9):895-906. doi: 10.1111/obr.12428. Epub 2016 May 18.
- Michie S, Ashford S, Sniehotta FF, Dombrowski SU, Bishop A, French DP. A refined taxonomy of behaviour change techniques to help people change their physical activity and healthy eating behaviours: the CALO-RE taxonomy. Psychol Health. 2011 Nov;26(11):1479-98. doi: 10.1080/08870446.2010.540664. Epub 2011 Jun 28.
- World Health Organization. Definition and diagnosis of diabetes mellitus and intermediate hyperglycemia: report of a WHO/IDF consultation. Geneva: 2006.
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Anticipated)
Study Completion (Anticipated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
- HMRF03180248
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
IPD Plan Description
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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