ClinicalTrials.gov
public full text
Public Domain
WeArable teChnology daTa driVen digitAl healTh cOachINg (ACTIVATION)- A Mixed-methods Study
Public health priorities have shifted towards disease prevention, emphasising health promotion and lifestyle interventions to reduce disease burden. Despite global efforts, the prevalence of chronic diseases remains high, with lifestyle factors such as alcohol consumption, diet, smoking, obesity, and sedentary behaviour playing significant roles. In Singapore, suboptimal lifestyle behaviours are common, contributing to a high incidence of chronic conditions. Metabolic syndrome (MetS), linked to obesity, poses a growing societal burden due to its association with cardiovascular risks. Disparities exist in the delivery of lifestyle interventions among healthcare providers (HCPs), with many patients receiving inadequate guidance. Digital health coaching, incorporating wearable technology, offers promising solutions to bridge these gaps, providing personalised, real-time support and feedback to improve lifestyle behaviours and prevent disease progression. Challenges such as time constraints, lack of feedback, and limited support can be addressed through remote monitoring and tailored interventions, making scalable population-level interventions feasible.
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Digital Intervention for Behaviour Change and Chronic Disease Prevention#864879
- FitLink: Improving Weight Loss Maintenance by Using Digital Data to Provide Support and Accountability#994597
- E-health Interventions to Promote Physical Activity Among Inactive Adults#891930
- Proof-of-Concept Study of an Integrated Mobile and Social Network Weight Loss Intervention#813366
- An mHealth Exercise Intervention for Sedentary Adults#802108
Record · ID 1010682
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive