NCT04875780

Brief Summary

Type 2 diabetes (T2DM) is a serious chronic condition and one of the world's fastest growing health problems. The onset of T2DM is gradual, with most individuals progressing through a state of pre-diabetes, which provides an important window of opportunity for the prevention of T2DM and its complications. 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.

Trial Health

43
At Risk

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Trial has exceeded expected completion date
Enrollment
282

participants targeted

Target at P75+ for not_applicable

Timeline
Completed

Started Jun 2021

Typical duration for not_applicable

Geographic Reach
1 country

1 active site

Status
unknown

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

First Submitted

Initial submission to the registry

May 1, 2021

Completed
5 days until next milestone

First Posted

Study publicly available on registry

May 6, 2021

Completed
26 days until next milestone

Study Start

First participant enrolled

June 1, 2021

Completed
3 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

May 31, 2024

Completed
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

May 31, 2024

Completed
Last Updated

October 25, 2021

Status Verified

October 1, 2021

Enrollment Period

3 years

First QC Date

May 1, 2021

Last Update Submit

October 16, 2021

Conditions

Keywords

Diabetes preventionPre-diabetesWeight lossCardio-metabolic riskObesityLifestyle interventionSmartphone-based

Outcome Measures

Primary Outcomes (1)

  • Percent weight change

    % weight change from baseline

    % weight change at 4 and 12 months from baseline

Secondary Outcomes (14)

  • Homeostatic Model Assessment of Insulin Resistance (HOMA-IR)

    Changes of insulin sensitivity at 12-months from baseline

  • Fasting insulin

    Changes of fasting insulin to 12-months from baseline

  • Fasting blood glucose (FG)

    Changes of FG at 12-months from baseline

  • Haemoglobin A1C (HbA1C)

    Changes of HbA1c at 4 and 12-months from baseline

  • Systolic and diastolic blood pressure (SBP, DBP)

    Changes of SBP and DBP to 4 and 12-months from baseline

  • +9 more secondary outcomes

Other Outcomes (1)

  • Diabetes incidence

    At 12-months follow-up

Study Arms (3)

Digital diabetes prevention app intervention

EXPERIMENTAL

Participants will receive web-based diabetes prevention curriculum, virtual social group support and digital tracking via the smartphone app.

Behavioral: Digital diabetes prevention app intervention

Digital weight loss tracking app intervention

ACTIVE COMPARATOR

Participants will receive the same intervention as the digital diabetes prevention curriculum app group except the web-based diabetes prevention curriculum.

Behavioral: Digital weight loss tracking app intervention

Wait-list control (usual care)

OTHER

Participants will receive usual care in the form of an annual review and blood test, together with general lifestyle advice.

Behavioral: Wait-list control (usual care)

Interventions

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.

Also known as: Web-based diabetes prevention curriculum, Goal setting and self-monitoring, Virtual social support group
Digital diabetes prevention app intervention

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.

Also known as: Goal setting and self-monitoring, Virtual social support group
Digital weight loss tracking app intervention

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.

Wait-list control (usual care)

Eligibility Criteria

Age40 Years - 60 Years
Sexall
Healthy VolunteersNo
Age GroupsAdult (18-64)

You may qualify if:

  • 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.

You may not qualify if:

  • 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)

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

The University of Hong Kong

Hong Kong, Hong Kong

RECRUITING

Related Publications (18)

  • 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.

    PMID: 25537714BACKGROUND
  • 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.

    PMID: 24630390BACKGROUND
  • 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.

    PMID: 33442078BACKGROUND
  • 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.

    PMID: 17098087BACKGROUND
  • 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.

    PMID: 25218728BACKGROUND
  • 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.

    PMID: 14633845BACKGROUND
  • 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.

    PMID: 15505129BACKGROUND
  • 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.

    PMID: 17327355BACKGROUND
  • 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.

    PMID: 11832527BACKGROUND
  • 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.

    PMID: 21046360BACKGROUND
  • 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.

    PMID: 23093136BACKGROUND
  • 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.

    PMID: 27927218BACKGROUND
  • 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.

    PMID: 28948027BACKGROUND
  • 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.

    PMID: 26217509BACKGROUND
  • 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.

    PMID: 24139771BACKGROUND
  • 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.

    PMID: 27192162BACKGROUND
  • 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.

    PMID: 21678185BACKGROUND
  • World Health Organization. Definition and diagnosis of diabetes mellitus and intermediate hyperglycemia: report of a WHO/IDF consultation. Geneva: 2006.

    BACKGROUND

MeSH Terms

Conditions

Glucose IntoleranceWeight LossObesity

Condition Hierarchy (Ancestors)

HyperglycemiaGlucose Metabolism DisordersMetabolic DiseasesNutritional and Metabolic DiseasesBody Weight ChangesBody WeightSigns and SymptomsPathological Conditions, Signs and SymptomsOverweightOvernutritionNutrition Disorders

Study Officials

  • Dr Mandy Ho

    The University of Hong Kong

    PRINCIPAL INVESTIGATOR

Central Study Contacts

Study Design

Study Type
interventional
Phase
not applicable
Allocation
RANDOMIZED
Masking
SINGLE
Who Masked
OUTCOMES ASSESSOR
Masking Details
All outcome assessors will be blinded to group allocation
Purpose
PREVENTION
Intervention Model
PARALLEL
Model Details: It is a 12-month 3-arm randomised controlled trial, RCT (the digital diabetes prevention app group, the digital weight loss tracking app group, and the wait-list usual care group). The digital diabetes prevention app group will receive these intervention components: web-based diabetes prevention curriculum, virtual social group support, goal setting and self-monitoring via the smartphone app. The digital weight loss tracking group will receive digital tracking of weight loss, diet and physical activity and virtual social support group function (mimicking the publically available weight loss apps), but without the web-based diabetes prevention curriculum. The wait-list usual care group will receive usual care in the form of an annual review and blood test, together with general lifestyle advice at our NGO collaborator's (UCN) community clinics.
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Assistant Professor

Study Record Dates

First Submitted

May 1, 2021

First Posted

May 6, 2021

Study Start

June 1, 2021

Primary Completion

May 31, 2024

Study Completion

May 31, 2024

Last Updated

October 25, 2021

Record last verified: 2021-10

Data Sharing

IPD Sharing
Will not share

There is no plan to make individual participant data available to other researchers.

Locations