Observational Study on Determinants of Food Intake
This observational study aims to understand why some people gain weight more easily than others, even with similar eating habits. Researchers will collect a wide range of information, including clinical data, genetic samples, and microbiome (gut bacteria) samples, from 800 healthy volunteers. They will use artificial intelligence to analyze this complex data and identify new factors that influence how much food people eat. The main goal is to discover what determines your energy intake (how many calories you consume) over 24-28 months. You may be eligible if you are a healthy adult between 18 and 60 years old. The study's status is currently unclear.
- Study design
- This is an observational study planning to enroll 800 healthy volunteers. It is not testing a specific intervention or drug.
- What's involved
- You would have 6 to 8 clinic visits over 2 years. These visits may include blood, hair, urine, and stool sample collection, body measurements, and a DXA scan (to measure body fat).
- Compensation
- Not stated in the trial record.
- Follow-up
- The primary endpoint will be measured at 24-28 months, and secondary endpoints will be measured at 0.5, 1, and 2 years.
AI-generated from the public study record. Only the study team can confirm whether you're eligible — confirm details with them before making decisions.
Discovering Determinants of Food Intake by Application of Artificial Intelligence to Complex, High-Dimensional Data
At a glance
Conditions
Where it's being run
1 sites across 1 statesStudy leadership
- Susanne M Votruba, Ph.D. · PRINCIPAL_INVESTIGATOR · National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)
Who to contact
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What this trial measures
- To identify novel determinants of objectively measured ad libitum energy intake using broad, multiscale data.24-28 months
Energy intake during ad libitum meal test, including total energy and macronutrient specific energy intake (e.g., carbohydrate, fat, protein) measured during the initial baseline period (visit 3). The potential determinants (broad multiscale data) will be collected during visits 1, 2, and 3.