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?
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.
Study Type
INTERVENTIONAL
Allocation
RANDOMIZED
Purpose
OTHER
Masking
NONE
Enrollment
260
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.
Saw Swee Hock School of Public Health, National University of Singapore
Singapore, Singapore
RECRUITINGBehaviour, self-efficacy and attitudes
Change in behaviour, self-efficacy and attitudes towards diet and exercise from baseline to 3rd month
Time frame: Baseline and at month 3
HbA1c concentration
Change in fasting plasma HbA1c concentration from baseline to 3rd month
Time frame: Baseline and at month 3
Plasma glucose concentration
Change in fasting plasma glucose concentration from baseline to 3rd month
Time frame: Baseline and at month 3
BMI
Change in BMI from baseline to 3rd month
Time frame: Baseline and at month 3
Lipid profile
Change in lipid profile from baseline to 3rd month
Time frame: Baseline and at month 3
Systolic and Diastolic Blood pressure
Change in systolic and diastolic blood pressure from baseline to 3rd month
Time frame: Baseline and at month 3
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