Project humAn dieTary daTa rEtuRN

Launched by DUKE UNIVERSITY · Feb 12, 2024

Keywords

ClinConnect Summary

This clinical trial, called Project humAn dieTary daTa rEtuRN, is studying how sharing information about diet can change eating habits for the better. The researchers believe that when participants receive feedback about their dietary choices—based on stool (poop) samples and special DNA testing—they may be encouraged to eat healthier. This change in diet might also positively affect their gut health and overall well-being.

The study is looking for participants of all ages, including infants, children, and adults, especially those who are already part of another study called Project HOPE 1000. To join, a parent or guardian must be over 18, understand English, and plan to stay in the area for the next two years. Participants will collect stool samples before and after receiving their diet data, helping researchers understand if this feedback really makes a difference. It's important to note that while there are some criteria for joining, there are no specific exclusions for health conditions unless they could affect the study's results. Overall, participating in this study is considered to have minimal risk, mainly relating to privacy concerns.

Gender

ALL

Eligibility criteria

• Inclusion Criteria:
• • Participant's parent/legal guardian is over age 18 and able to understand English
• • Plans to remain in the area for the next two years
• • Primary caregiver for infant less than 12 months old
• • Able to collect and ship the requested infant stool samples
• Exclusion Criteria:
• There will be no specific exclusions for this study. However, the following biospecimens will not be collected for research purposes from individuals who have a condition that, in the opinion of the site investigators and/or providers, would place the subject at unacceptable risk of injury or confound data interpretation; including but not limited to:
• • Health conditions that impact the infant feeding in a way that may confound interpretation of study results.