Assessment of Food Intake Using Both 3D Scanning Method and a Photographic Method

Shenzhen Institutes of Advanced Technology ,Chinese Academy of Sciences

Status

Enrolling

Conditions

Data Collection

Study type

Observational

Funder types

Other

Identifiers

NCT07371559

SIAT-IRB-250215-H0960

Details and patient eligibility

About

This project aims to develop a new and more accurate method to assess energy intake in the diet by collaborating with Astravis company in Switzerland, integrating image recognition and intelligent applications, to improve the accuracy of energy assessment in the food, and to explore the application in dietary research.The researchers will recruit 200 volunteers.

Full description

This study will provide food for the participants, and they will independently choose their preferred food for consumption according to their usual dietary habits. This study will take 3D scanning and photography of the food plates before and after eating to analyze the energy intake by each participant.

Enrollment

200 estimated patients

Sex

All

Ages

22 to 40 years old

Volunteers

Accepts Healthy Volunteers

Inclusion criteria

Recently measured body mass index (BMI): normal control group (21.5 ≤ BMI < 25); Recently measured body mass index (BMI): healthy underweight group (15 < BMI ≤ 18.5); Must be able to choose the food as requested.

Exclusion criteria

Metabolic diseases; Recent weight loss due to various disease causes; Ongoing treatment for weight loss; Eating disorders; Pregnant or lactating women; Infectious diseases such as HIV, Hepatitis; Diabetes mellitus.