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.
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?