ClinicalTrials.gov
public full text
Public Domain
Dietary Intake and Eating Habits During the COVID-19 Pandemic
The COVID-19 pandemic affects eating habits, diet quality and physical activity differently among individuals; it is unclear how these behaviours will evolve as the pandemic continues. In this observational study, dietary intake will be frequently collected using an artificial intelligence (AI)-enhanced mobile application combined with real-time analysis, and lifestyle behaviours from online questionnaires, to provide timely, relevant data for public health decision making.
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
- Mobile Health and Wearable Devices for Diabetes Complication Management#804669
- Pilot-Testing Real-Time Engagement for Learning to Effectively Control Type 2 Diabetes#883037
- AI-Driven Metabolic Cohort in Overweight/Obese Chinese Adults#859920
- Survey Assessing How Consumers Adapt Their Diet in Response to Health Claim Messaging#867079
- Personalized Blood Pressure Care Using IoMTs and Artificial Intelligence#853092
Record · ID 1445078
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