ClinicalTrials.gov
public full text
Public Domain
Exploring the Use of Genetic and Behavioural Data in Tailoring Dietary and Lifestyle Support
Personalised nutrition approaches typically rely on static information such as health status, lifestyle and genetic data. However, adherence often remains low because daily behaviours are influenced by psychological states, motivation and real-time barriers. There is growing interest in whether integrating behavioural signals and timely prompts could strengthen engagement. The purpose of this study is to explore whether incorporating psychological adaptation and just-in-time behavioural prompts leads to better adherence to a personalised nutrition programme compared with commonly used personalised approach (combining health, lifestyle and genetics data without psycho-behavioural adaptation). Using a six-week n-of-1 randomised trial design implemented across multiple participants, the research will also assess the feasibility of delivering this adaptive support in a free-living environment, as well as participants' engagement, acceptability and perceived usefulness. Following completion of the 6-week intervention, an optional focus group will be conducted with a subset of participants (maximum 8) within four weeks of the final study day. The focus group will last approximately 60-90 minutes and will be conducted in person or via video call. Qualitative data from the focus group will be analysed using reflexive thematic analysis (Braun \& Clarke, 2021). These findings will inform the development of an adaptive personalised nutrition AI agent.
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
- Personalized Nutrition and eHealth: Lifestyle Intervention (LION) Study for Weight Loss Maintenance#1126523
- Building an Evidence Base for Weight Loss Strategies Among Those With Chronic SCI-The GLB-SCI+#1126455
- Health Coach Intervention Pilot Study#901052
- Personalized Responses to Dietary Composition Trial 3#1151522
- Evaluating a Remotely Delivered Plant-Based Behavioral Weight Loss Treatment#1292819
Record · ID 1214606
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