Pre-diabetes
Conditions
Keywords
Lifestyle coaching, mHealth
Brief summary
This study seeks to address two questions. Firstly, how might a suite of interventions and data feedback (activity, diet, mood\*, continuous blood glucose) through coaching be effective in influencing behaviour change for individuals at-risk of developing type 2 diabetes? Secondly, what elements of coaching might be extracted for automated implementation in a scalable coach-light model?
Detailed description
Face-to-face health coaching is a common lifestyle intervention for healthy individuals who are at risk of chronic diseases such as diabetes. However, it is highly resource-intensive and has limitations in scaling up to reach wider populations. Advances in technology present opportunities to scale health coaching to the wider population through automation, enabling the delivery of personalised messages for individuals via mobile applications. In addition, continuous glucose monitoring (CGM) devices could also potentially augment the effectiveness of health coaching by providing coaches with a tool for coachees' self-discovery of their individual physiological responses to lifestyles and modifications such as diet and exercise. As such, the present study seeks to leverage smart wearable devices (e.g., Bluetooth smartwatches) and CGM devices accompanying a customized mobile application to deliver lifestyle coaching interventions. This suite of lifestyle interventions, including feedback about their own blood glucose levels, aims to influence participant's lifestyles and behaviours through guided self-discovery and face-to-face coaching. This intervention will be compared with a control group to examine its effects on lifestyle change, anthropometric measures and biometric measures. In addition, the findings from this study will contribute to the development of a novel coach-light intervention that can be implemented at a wider population level via Singapore's Health Promotion Board's (HPB) existing programmes and channels.
Interventions
DEVICECGM lifestyle tracking and coaching
Participants in the experimental group will go through a total of 5 lifestyle tracking sessions (including baseline), of which 1 will include CGM tracking. For this CGM lifestyle tracking session, experimental group participants will receive real-time feedback through the study applications, which will display the CGM trace. The data collected during the lifestyle tracking sessions will be discussed with the participants during 3 face-to-face coaching and 2 tele-coaching sessions, where the participants will develop and implement lifestyle change action plans.
Sponsors
Health Promotion Board, Singapore
National University of Singapore
Study design
Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
OTHER
Masking
NONE
Intervention model description
This is an experimental-control study design where up to 260 individuals at risk of developing diabetes (blood glucose levels of 6.1 to 6.9 mmol/L) will be randomly allocated to the experimental and control groups (1:1 randomization). Participants in the control group will not receive any health coaching and are not required to carry out any study activities after they have completed the baseline lifestyle tracking session. At the end of the study, they will attend a 20- to 30-minute session with a coach to have their baseline lifestyle tracking results explained to them and receive personalised suggestions on lifestyle modifications.
Eligibility
Sex/Gender
ALL
Age
21 Years to 55 Years
Healthy volunteers
Yes
Inclusion criteria
1. Singaporean Citizens and Permanent Residents 2. Aged 21 to 55 3. Must be literate in English (i.e. able to read and communicate in English) because the primary mode of communication is English 4. Willing and able to use a smartphone 5. Must be at risk of developing Type 2 Diabetes, defined as: i) Glycated haemoglobin (HbA1c) - At least 5.7% to 6.5% OR Fasting blood glucose of 6.1 to 6.9mmol/L, AND ii) BMI of at least 20kg/m2
Exclusion criteria
1. Non-Singaporean Citizens and Permanent Residents 2. Under age 21 or above age 55 3. Ever diagnosed as Type 1 or Type 2 Diabetic (does not include previously diagnosed GDM) 4. Pregnant or planning to be pregnant in the next 6 months or lactating 5. History of skin allergies 6. Taking medications that are known to alter blood sugar levels/ glucose tolerance e.g. glucocorticoids g) History of mental illness/conditions h) Work requirement that does not allow the carrying of electronic devices (e.g., phone and smartwatch) i) Frequent overseas travelling (e.g., more frequently than once a month, daily or weekly commuting across borders etc.)
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Behaviour, self-efficacy and attitudes | Baseline and at month 3 | Change in behaviour, self-efficacy and attitudes towards diet and exercise from baseline to 3rd month |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| HbA1c concentration | Baseline and at month 3 | Change in fasting plasma HbA1c concentration from baseline to 3rd month |
| Plasma glucose concentration | Baseline and at month 3 | Change in fasting plasma glucose concentration from baseline to 3rd month |
| BMI | Baseline and at month 3 | Change in BMI from baseline to 3rd month |
| Lipid profile | Baseline and at month 3 | Change in lipid profile from baseline to 3rd month |
| Systolic and Diastolic Blood pressure | Baseline and at month 3 | Change in systolic and diastolic blood pressure from baseline to 3rd month |
Countries
Singapore
Contacts
Primary ContactKaren Cheong
Backup ContactChelsea Chang
Outcome results
None listed