Sensory and Oral Processing Characteristics of Commonly Consumed Foods
1 other identifier
observational
78
1 country
1
Brief Summary
Rationale: Oral processing behaviours (i.e. eating rate, bite size, chews per bite) play an important role in the onset of satiation and satiety and laboratory studies have shown that people who eat quickly consume more energy during an ad libitum meal. Therefore, one possible approach to control the energy intake is to encourage eating behaviour that slow the rate of calorie intake of the meal. Numerous studies that use external cues and prompts to change the eating rate (e.g. utensil, devices) have shown to produce clinically meaningful results. However, the long-term efficacy of these external manipulation to eating rate remains unclear and have difficulties in adherence. Texture led changes to oral processing behaviours therefore offer an exciting opportunity to adapt an individual's response to structure properties of the food being consumed in a way that maintains the associated eating experience and satiety from food intake. However, no studies to date have investigated how differences food processing influence food texture characteristics and oral processing behaviour and the subsequent impact on energy intake for commonly consumed meals. The proposed study will explore the impact of food texture and oral processing characteristics on energy intake for the minimally-processed and ultra-processed foods or meals, to explore the impact of food processing on texture, oral processing and energy intakes. Objective: The objectives of the study are to characterise the differences in sensory perception, and oral processing behaviours (i.e. eating rate, bite size, chew per bite, oral exposure time etc.) of foods and meals that differ in their degree of processing (Part 1), and to further investigate how texture-based differences in oral processing behaviour influence ad-libitum energy intake (Part 2). This study is also aimed to see how is the texture-based differences in oral processing behaviour modified by degree of food processing (i.e. un-, minimally-processed, processed and ultra-processed foods) (Part 2). Study design: Part 1) Randomised non-blinded feeding trial where participants taste up to 48 food items over 3 test sessions; Part 2) 2x2 randomised crossover design where participants receive 4 treatments (i.e. 4 test meals) over 4 test sessions Study population: Healthy females and males (n=30 for Part 1; n=50 for Part 2) aged 21-50 years with BMI between 18-25 kg/m2 Intervention: Part 1) Participants will taste and evaluate up to 48 food items over 3 sessions in randomised order. Session 1 involves tasting of up to 16 food items and computer task to rate and evaluate their perception and health behaviour. Sessions 2-4 involve evaluation of sensory characteristics, video-recordings of participants eating, and wrist worn accelerometer to track wrist movement while tasting up to 48 food items.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for all trials
Started Nov 2020
Shorter than P25 for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
October 7, 2020
CompletedFirst Posted
Study publicly available on registry
October 19, 2020
CompletedStudy Start
First participant enrolled
November 2, 2020
CompletedPrimary Completion
Last participant's last visit for primary outcome
August 30, 2021
CompletedStudy Completion
Last participant's last visit for all outcomes
August 30, 2021
CompletedDecember 14, 2021
December 1, 2021
10 months
October 7, 2020
December 13, 2021
Conditions
Keywords
Outcome Measures
Primary Outcomes (2)
Oral processing behaviour
Participants will be video-recorded to measure oral processing behaviour of the test foods
Part 1, during the 3 test sessions, up to 1 hour each
Ad libitum energy intake
Test foods consumed during test sessions by the participants will be recorded. Participants will be asked to bring a food dairy home for recording their food and beverage intake for the rest of the test day.
Part 2, during the 4 test sessions, up to 2 hours each
Study Arms (1)
Degree of food processing and food texture
Processed vs unprocessed foods based on NOVA classification Soft and hard foods manipulated by cooking method
Interventions
Investigate ad libitum energy intake according to degree of food processing and eating behaviour
Eligibility Criteria
General public of Singapore aged between 21 to 50 years old.
You may qualify if:
- Healthy male or female
- Aged between 21 and 50-year-old
- Are of normal weight (BMI 18-25kg/m2)
- Stable weight for the previous 12 months (\<5kg weight fluctuation in the previous year)
- Healthy dentition and ability to bite, chew and swallow normally
- No history of pain or discomfort in jaw movements or excessive teeth clenching or grinding
- No caries or periodontal disease
You may not qualify if:
- Smoker
- Currently pregnant or in lactating
- Dislikes, intolerances or allergies to foods or common food ingredients e.g. nuts, soya, wheat, gluten, cereal, fruits, biscuits, dairy products, rice, vegetable, meat, seafood, sugar and sweetener, gelatin, natural food colouring or flavourings (e.g. MSG), etc.
- Have any specific dietary requirements and/ or restrictions (e.g. Vegan/ vegetarian, religious beliefs, lactose intolerance, calorie restricted diet etc.)
- Sinus problems that affect your taste and smell
- Glucose-6-phosphate dehydrogenase (G6PD) deficiency
- Taking insulin or medication known to affect your appetite or metabolism
- Have major chronic diseases such as heart disease, cancer or diabetes mellitus
- Have active Tuberculosis (TB) or currently receiving treatment for TB
- Have any known Chronic Infection or known to suffer from or have previously suffered from or is a carrier of Hepatitis B Virus (HBV), Hepatitis C Virus (HCV), Human Immunodeficiency Virus (HIV)
- Member of the research team or their immediate family members. Immediate family member is defined as a spouse, parent, child, or sibling, whether biological or legally adopted
- Enrolled in a concurrent research study judged not to be scientifically or medically compatible with the study of the CNRC
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Singapore Institute of Food and Biotechnology Innovation (SIFBI)/Clinical Nutrition Research Centre
Singapore, 117599, Singapore
Related Publications (1)
Teo PS, Lim AJ, Goh AT, R J, Choy JYM, McCrickerd K, Forde CG. Texture-based differences in eating rate influence energy intake for minimally processed and ultra-processed meals. Am J Clin Nutr. 2022 Jul 6;116(1):244-254. doi: 10.1093/ajcn/nqac068.
PMID: 35285882DERIVED
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Pey Sze Teo, PhD
Teo_Pey_Sze@sifbi.a-star.edu.sg
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- CROSS SECTIONAL
- Sponsor Type
- OTHER GOV
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Senior Principal Investigator
Study Record Dates
First Submitted
October 7, 2020
First Posted
October 19, 2020
Study Start
November 2, 2020
Primary Completion
August 30, 2021
Study Completion
August 30, 2021
Last Updated
December 14, 2021
Record last verified: 2021-12
Data Sharing
- IPD Sharing
- Will not share