Data Collection
Conditions
Keywords
food intake, food preference, food energy assessment
Brief summary
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.
Detailed 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.
Interventions
None listed
Sponsors
Shenzhen Institutes of Advanced Technology ,Chinese Academy of Sciences
Study design
Observational model
COHORT
Time perspective
CROSS_SECTIONAL
Eligibility
Sex/Gender
ALL
Age
22 Years to 40 Years
Healthy volunteers
Yes
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.
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| BMI of the volunteers | This study will take about 1 year and a half to finish, starting from May 1 2025 to Dec 31 2026. | The volunteers' BMI is chosen between normal and underweight for easy comparison. |
| 3D scanning of the foods chosen by volunteers using a Bodyscan3d smartphone application | This study will take about 1 year and a half to finish, starting from May 1 2025 to Dec 31 2026. | The volunteers will be asked to choose 5 out of 20 dishes in a buffet and 3D scanning of the foods chosen by volunteers will be taken using a Bodyscan3d application. |
| Weight and name of each food | This study will take about 1 year and a half to finish, starting from May 1 2025 to Dec 31 2026. | The weight and name of the food selected by the volunteers will be systematically recorded using a digital electronic scale and food record form. This scale and food record form will be employed to ensure accurate measurements of each food item's mass that the volunteers consume throughout the study period and each food item they choose. |
| Calories of the food chosen by the volunteers will be evaluated using the Hava smartphone application | This study will take about 1 year and a half to finish, starting from May 1 2025 to Dec 31 2026. | We use another Hava application to evaluate the calories of the food selected by the volunteers and compare with the calories we calculated, with the smaller the difference, the better the Hava assessment. |
Countries
China
Contacts
CONTACTJohn Roger Speakman, PhD
CONTACTYing Yu, PhD
Outcome results
None listed