Pre-diabetesNCT04875780
A Smartphone-based Intervention for Diabetes Prevention in Overweight Chinese Adults With Pre-diabetes
A study testing Digital diabetes prevention app intervention and Digital weight loss tracking app intervention in people with Pre-diabetes, run by The University of Hong Kong at 1 site in Hong Kong.
Trial 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. Read more about this study
- Who is it for?
- Ages 40 to 60 years
- Conditions the study is for
- Pre-diabetes
- What is being tested?
- Digital diabetes prevention app intervention and Digital weight loss tracking app intervention
- Type of treatment
- Lifestyle or therapy programme
- Could I receive a placebo?
- No, everyone receives an active treatment
- How many people
- 282 participants
- Where
- 1 siteHong Kong
- Study dates
- 1 Jun 2021to 31 May 2024
- Phase
- Interventional
- Are there results?
- None posted in the registry
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 40 to 60 years
- All sexes
- No healthy volunteers
- Adult
Who may be able to join
- 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.
Who cannot join
- 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)
Trial locations and contacts
1 site in 1 country.
Hong Kong1 site, 1 recruiting
- Recruiting
The University of Hong Kong
Hong Kong
Mandy Ho, PhD, (+852) 39176973, mandyho1@hku.hk
Mandy Ho, PhD
About this study
Official title: Effects of a Smartphone-based Weight Loss Programme Targeting Chinese Overweight Adults With Pre-diabetes: A Randomized Controlled Trial
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.
Read the 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.
- Conditions
- Pre-diabetes
- Being tested
- Digital diabetes prevention app intervention, Digital weight loss tracking app intervention, Wait-list control (usual care)
- Keywords
- Diabetes prevention, Pre-diabetes, Weight loss, Cardio-metabolic risk, Obesity, Lifestyle intervention, Smartphone-based
- Medical subject headings
- Glucose Intolerance, Weight Loss, Obesity
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
Digital diabetes prevention app interventionBehavioural
Also called Web-based diabetes prevention curriculum, Goal setting and self-monitoring, Virtual social support group
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.
Digital weight loss tracking app interventionBehavioural
Also called Goal setting and self-monitoring, Virtual social support group
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.
Wait-list control (usual care)Behavioural
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.
| Study group | Role | What they receive |
|---|---|---|
| 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. Receives: 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. Receives: 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. Receives: Behavioral: Wait-list control (usual care) |
What is being measured
The primary outcome is the main question the study is designed to answer.
Percent weight change
% weight change from baseline
Measured: % weight change at 4 and 12 months from baseline
Secondary outcomes (14)
Homeostatic Model Assessment of Insulin Resistance (HOMA-IR)
Estimated from fasting insulin and fasting glucose, [fasting insulin (uU/mL)*fasting glucose(mmol/L)]/22.5
Measured: Changes of insulin sensitivity at 12-months from baseline
Fasting insulin
Fasting insulin in mU/L
Measured: Changes of fasting insulin to 12-months from baseline
Fasting blood glucose (FG)
Fasting blood glucose in mmol/L > 8 hours of fasting
Measured: Changes of FG at 12-months from baseline
Haemoglobin A1C (HbA1C)
HbA1c in %
Measured: Changes of HbA1c at 4 and 12-months from baseline
Systolic and diastolic blood pressure (SBP, DBP)
in mmHg measured by automatic BP monitor
Measured: Changes of SBP and DBP to 4 and 12-months from baseline
Blood lipid profile
fasting blood for total cholesterol, HDL, LDL and triglycerides, all in mmol/L
Measured: Changesof blood lipid at 12-months from baseline
2hr post OGTT glucose (2hr PP)
Blood glucose in mmol/L 2 hours after OGTT
Measured: Changes of 2hr PP at 12-months from baseline
Physical activity as assessed by IPAQ
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:
- High-active group
- Vigorous-intensity activity on ≥ 3 days and accumulating ≥1500 MET-minutes/week OR
- ≥7 days of any combination of walking, moderate-intensity or vigorous intensity activities achieving ≥3000 MET-minutes/week
- Moderate-active group
- ≥3 days of vigorous activity of ≥20 minutes/day OR
- ≥5 days of moderate-intensity activity or walking of ≥30 minutes/day OR
- ≥5 days of any combination of walking, moderate-intensity or vigorous intensity activities achieving ≥600 MET-min/week.
- Low-active/inactive group Individuals who do not meet criteria for high- and moderate-active
Measured: Change in levels of physical activity from baseline to 4 and 12-months
Dietary intake as assessed by 24-hour recall
24-hour food recall
Measured: Changes in dietary intake from baseline to 4 and 12-months
Health-related quality of life (HRQOL) as assessed by SF12
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.
Measured: Changes in HRQOL from baseline to 4 and 12-months
Central obesity
Waist circumference in cm
Measured: Changes of waist circumference at 12-months from baseline
Percentage body fat as assessed by BIA
Bioelectrical impedance analysis measuring body fat in %
Measured: Changes of body fat at 12-months from baseline
Smartphone apps user engagement
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.
Measured: At 12-months follow-up
User feedback as assessed by an online exit questionnaire
An online exit questionnaire will be administered to participants in the intervention group at 12 months.
Measured: At 12-months follow-up
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted6 May 2021
- Study start1 Jun 2021
- Primary completion31 May 2024 (estimated)
- Study completion31 May 2024 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (18)Papers the sponsor has linked to this study.
- Other trials for Pre-diabetesStudies of the same condition, open and under way.
- More trials run by The University of Hong KongThe sponsor's other registered studies.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Interventional
- Phase
- Phase N/A
- Primary purpose
- Prevention
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Model description
- 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.
- Masking
- Single blind
- Who is masked
- Outcomes assessor
- Enrolment
- 282 participants (estimated)
Sponsor and investigators
- Lead sponsor
- The University of Hong Kong
- Sponsor type
- University, hospital or other
- Responsible party
- Principal investigator, Dr. Mandy M. Ho, The University of Hong Kong
- Investigators
- Dr Mandy Ho, Principal investigator, The University of Hong Kong
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT04875780
- Sponsor's protocol ID
- HMRF03180248
- Status last verified
- Oct 2021
- First submitted
- 1 May 2021
- Last updated
- 25 Oct 2021
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- No: There is no plan to make individual participant data available to other researchers.
Publications
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.
PubMed 25537714Guariguata 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.
PubMed 24630390Mirasol 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.
PubMed 33442078Yoon 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.
PubMed 17098087Chan 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.
PubMed 25218728Singleton 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.
PubMed 14633845Levitan 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.
PubMed 15505129Nathan 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.
PubMed 17327355Knowler 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.
PubMed 11832527Gong 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.
PubMed 21046360Lindstrom 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.
PubMed 23093136Schoeppe 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.
PubMed 27927218Sepah 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.
PubMed 28948027Khokhar 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.
PubMed 26217509Azar 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.
PubMed 24139771
Study at a glance
From the registry record, last updated by the sponsor on 25 Oct 2021. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Effects of a Smartphone-based Weight Loss Programme Targeting Chinese Overweight Adults With Pre-diabetes: A Randomized Controlled Trial
- ClinicalTrials.gov ID
- NCT04875780
- Acronym / sponsor ID
- HMRF03180248
- Conditions
- Pre-diabetes
- Keywords
- Diabetes prevention, Pre-diabetes, Weight loss, Cardio-metabolic risk, Obesity, Lifestyle intervention, Smartphone-based
- Study type
- Interventional
- Recruitment status
- Unknown status
- Enrolment
- 282 participants (estimated)
- Lead sponsor
- The University of Hong KongUniversity, hospital or other
- Study start
- 1 Jun 2021 (actual)
- Primary completion
- 31 May 2024 (estimated)
- Study completion
- 31 May 2024 (estimated)
- First posted
- 6 May 2021 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
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.
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 design
- Primary purpose
- Prevention
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Masking
- Single blind (outcomes assessor)
- Number of arms
- 3
- Model description
- 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.
| Arm | Type | Receives |
|---|---|---|
| Digital diabetes prevention app intervention | Experimental | Behavioral: Digital diabetes prevention app interventionParticipants will receive web-based diabetes prevention curriculum, virtual social group support and digital tracking via the smartphone app. |
| Digital weight loss tracking app intervention | Active comparator | Behavioral: Digital weight loss tracking app interventionParticipants will receive the same intervention as the digital diabetes prevention curriculum app group except the web-based diabetes prevention curriculum. |
| Wait-list control (usual care) | Other | Behavioral: 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. |
Who may qualify
- Ages
- 40 to 60 years
- Sex
- All
- Healthy volunteers
- Not accepted
- Age groups
- Adult
Key inclusion criteria (5 listed)
- 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.
Key exclusion criteria (3 listed)
- 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)
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| Digital diabetes prevention app interventionAlso: Web-based diabetes prevention curriculum, Goal setting and self-monitoring, Virtual social support group16-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. | Behavioural | Digital diabetes prevention app intervention |
| Digital weight loss tracking app interventionAlso: Goal setting and self-monitoring, Virtual social support groupAll 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. | Behavioural | Digital weight loss tracking app intervention |
| Wait-list control (usual care)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. | Behavioural | Wait-list control (usual care) |
Primary outcome
Percent weight change
Time frame: % weight change at 4 and 12 months from baseline
% weight change from baseline
14 secondary outcomes
Homeostatic Model Assessment of Insulin Resistance (HOMA-IR)
Time frame: Changes of insulin sensitivity at 12-months from baseline
Fasting insulin
Time frame: Changes of fasting insulin to 12-months from baseline
Fasting blood glucose (FG)
Time frame: Changes of FG at 12-months from baseline
Haemoglobin A1C (HbA1C)
Time frame: Changes of HbA1c at 4 and 12-months from baseline
Systolic and diastolic blood pressure (SBP, DBP)
Time frame: Changes of SBP and DBP to 4 and 12-months from baseline
Blood lipid profile
Time frame: Changesof blood lipid at 12-months from baseline
2hr post OGTT glucose (2hr PP)
Time frame: Changes of 2hr PP at 12-months from baseline
Physical activity as assessed by IPAQ
Time frame: Change in levels of physical activity from baseline to 4 and 12-months
Dietary intake as assessed by 24-hour recall
Time frame: Changes in dietary intake from baseline to 4 and 12-months
Health-related quality of life (HRQOL) as assessed by SF12
Time frame: Changes in HRQOL from baseline to 4 and 12-months
Central obesity
Time frame: Changes of waist circumference at 12-months from baseline
Percentage body fat as assessed by BIA
Time frame: Changes of body fat at 12-months from baseline
Smartphone apps user engagement
Time frame: At 12-months follow-up
User feedback as assessed by an online exit questionnaire
Time frame: At 12-months follow-up
Results and safety
Results are not available in the source record.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 25 Oct 2021.
- Background: PubMed 25537714American Diabetes Association. (2) Classification and diagnosis of diabetes. Diabetes Care. 2015 Jan;38 Suppl:S8-S16. doi: 10.2337/dc15-S005. No abstract available.
- Background: PubMed 24630390Guariguata 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.
- Background: PubMed 33442078Mirasol 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.
- Background: PubMed 17098087Yoon 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.
- Background: PubMed 25218728Chan 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.
- Background: PubMed 14633845Singleton 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.
- Background: PubMed 15505129Levitan 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.
- Background: PubMed 17327355Nathan 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.
- Background: PubMed 11832527Knowler 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.
- Background: PubMed 21046360Gong 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.
- Background: PubMed 23093136Lindstrom 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.
- Background: PubMed 27927218Schoeppe 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.
- Individual participant dataSharing planned: No. There is no plan to make individual participant data available to other researchers.
Related trials for Pre-diabetes
Recruiting
Effects of Lean Pork Loin Intake on Protein Homeostasis and Glucose Regulation in Prediabetic Adults
Hyperglycaemia (Non Diabetic), Prediabetes
RecruitingObservational study
Food-i-Sense Analytics: Integrating AI Into Continuous Glucose Monitoring Data Analysis for Precision Nutrition.
Prediabetes (Insulin Resistance, Impaired Glucose Tolerance), Artificial Intelligence Mobile Application
RecruitingPhase 3
A Study of Orforglipron in Participants With Overweight at Risk of Development of Obesity-Related Complications or Progression to Class 1 Obesity
Overweight, Prediabetic State
RecruitingObservational study
Estimated Risk of Preeclampsia in the First Trimester and Its Association With Subclinical Atherosclerosis and Cardiovascular Risk in Women With Type 1 Diabetes
Type 1 Diabetes, Preeclampsia
Enrolling by invitationEarly Phase 1
Truway Diagnostic Tools in Primary Care
Chronic Disease, Type 2 Diabetes Mellitus (T2DM), Obesity, Overweight
Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
Dr Mandy Ho principal investigator
The University of Hong Kong
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
A study testing Digital diabetes prevention app intervention and Digital weight loss tracking app intervention in people with Pre-diabetes, run by The University of Hong Kong at 1 site in Hong Kong.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 5 inclusion and 3 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: status not confirmed, as of the sponsor's last update on 25 Oct 2021. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in Hong Kong. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
Results are not available in the source record.
How can a doctor refer a patient or contact the research team?
Contact Dr Mandy Ho ((+852)39176973, mandyho1@hku.hk), or a site near the patient. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Percent weight change (time frame: % weight change at 4 and 12 months from baseline). It is what the study was designed to measure, not a finding.
Where can I read the original study information?
On the ClinicalTrials.gov record for NCT04875780, which also lists 18 linked publications.
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 25 Oct 2021.