NCT07530939

Brief Summary

With the rapid development of the modern food industry, a large number of processed foods that heavily use refined carbohydrates and fats have emerged. These foods generally lack key components such as protein, fiber, and micronutrients, disrupting the satiety regulation system that humans developed over the course of evolution. As a result, the satiety signals provided by food are significantly mismatched with their energy content, forcing people to consume more calories to meet their basic nutritional and satiety needs. Since these processed foods are also more palatable, they further promote voluntary overeating. The 2025 World Obesity Report points out that obesity has become a global issue, and it is estimated that by 2030, over 2.9 billion adults worldwide will have a body mass index (BMI) above the normal range. The proportion of people with high BMI in China is rising and is expected to reach 5.1504 million by 2030. A new concept, Satiety Per Calorie (SPC), rates foods based on the strength of the satiety signals they generate per unit of energy. Foods with high SPC values can help people naturally reduce calorie intake while staying full; in contrast, high-calorie-dense foods like fried foods and desserts are more likely to lead to unconscious overeating. A recent animal study published in Nature Metabolism indicates that neurons in the hippocampus record the sensory experience of high-calorie foods and can trigger strong eating desires even when not hungry, leading to overconsumption. Additionally, behaviors such as eating slower and reducing external distractions during meals can enhance the perception of satiety signals and lower the risk of overeating. Evidence from a review shows that slowing down eating can reduce calorie intake. Overall, the concept of SPC helps improve modern dietary structures and provides new ideas for controlling the prevalence of obesity. However, this concept still needs further experimental validation. This study will recruit 40 male volunteers with a BMI between 18.5-28 kg/m² and aged 18-44 years, to investigate the relationship between satiety per calorie and food intake.

Trial Health

65
Monitor

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
40

participants targeted

Target at P50-P75 for not_applicable healthy

Timeline
2mo left

Started Apr 2026

Shorter than P25 for not_applicable healthy

Status
not yet recruiting

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Progress14%
Apr 2026May 2026

First Submitted

Initial submission to the registry

March 9, 2026

Completed
1 month until next milestone

Study Start

First participant enrolled

April 10, 2026

Completed
5 days until next milestone

First Posted

Study publicly available on registry

April 15, 2026

Completed
2 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

May 31, 2026

Expected
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

May 31, 2026

Last Updated

April 15, 2026

Status Verified

April 1, 2026

Enrollment Period

2 months

First QC Date

March 9, 2026

Last Update Submit

April 8, 2026

Conditions

Keywords

food intakesatiety per calorie

Outcome Measures

Primary Outcomes (1)

  • Food intake

    Food intake will be quantified by weighing all food items provided to the participant before consumption and weighing any remaining food after the meal. Total intake (in grams) will be calculated as the difference between the pre- and post-consumption weights.

    Day 1 (assessed at lunch and dinner)

Secondary Outcomes (2)

  • Resting energy expenditure

    Day 1 (11:30 a.m.)

  • Thermic effect of food

    Day 1, from 12:00 p.m. to 5:00 p.m.

Study Arms (5)

SPC 0-20

EXPERIMENTAL

Each group of volunteers will be provided with five types of food for lunch, which are determined based on the SPC value. The food for the first group (SPC 0-20) includes cookies, French fries, cheese slices, doughnuts, and croissants, with the French fries purchased from McDonald's and the rest of the food bought from a supermarket.

Diagnostic Test: body composition measurements

SPC 20-40

EXPERIMENTAL

Food for Group 2 (SPC 20-40): pizza, hamburgers, rice, noodles, hot dogs. The hamburgers will be purchased from McDonald's, and the rest of the food will be bought from the supermarket.

Diagnostic Test: body composition measurements

SPC 40-60

EXPERIMENTAL

Foods for the third group (SPC 40-60): baked potatoes, roasted sweet potatoes, apples, fried eggs, and oatmeal. All of these foods will be purchased from the supermarket.

Diagnostic Test: body composition measurements

SPC 60-80

EXPERIMENTAL

Foods for Group 4 (SPC 60-80): salad, carrots, silken tofu, pan-fried chicken, and boiled fish fillets. These foods will all be purchased from the supermarket.

Diagnostic Test: body composition measurements

SPC 80-100

EXPERIMENTAL

Foods for Group 5 (SPC 80-100): boiled pumpkin, boiled broccoli, cucumber, tomato, lettuce; all of these foods will be purchased from the supermarket.

Diagnostic Test: body composition measurements

Interventions

Body composition measurements will be conducted, including body composition analysis using TANITA, bone density scan using DXA, body composition assessment using BODPOD, and 3D scan.

SPC 0-20SPC 20-40SPC 40-60SPC 60-80SPC 80-100

Eligibility Criteria

Age18 Years - 44 Years
Sexmale
Healthy VolunteersYes
Age GroupsAdult (18-64)

You may qualify if:

  • Body mass index (BMI) between 18.5 and 28 kg/m2
  • Male
  • years old
  • Healthy

You may not qualify if:

  • No diabetes, infectious diseases, gastrointestinal disorders, hypoglycemia, cardiovascular or cerebrovascular diseases, mental illnesses, etc.
  • Not being allergic to common foods.
  • No special dietary habits, eating disorders, irregular eating or lifestyle patterns, or smoking and drinking habits.

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Related Publications (3)

  • Robinson, E., Almiron-Roig, E., Rutters, F., de Graaf, C., Forde, C. G., Tudur Smith, C., Nolan, S. J., & Jebb, S. A. (2014). A systematic review and meta-analysis examining the effect of eating rate on energy intake and hunger. The American Journal of Clinical Nutrition, 100(1), 123-151. https://doi.org/10.3945/ajcn.113.081745

    BACKGROUND
  • Yang, M., Singh, A., de Araujo, A., McDougle, M., Ellis, H., Décarie-Spain, L., Kanoski, S. E., & de Lartigue, G. (2025). Separate orexigenic hippocampal ensembles shape dietary choice by enhancing contextual memory and motivation. Nature Metabolism. Advance online publication. https://doi.org/10.1038/s42255-024-01194-6

    BACKGROUND
  • World Obesity Federation. (2025). World Obesity Atlas 2025 (World Obesity Atlas 1). World Obesity Federation. https://data.worldobesity.org/publications/?cat=23[citation:2]

    BACKGROUND

Study Design

Study Type
interventional
Phase
not applicable
Allocation
RANDOMIZED
Masking
SINGLE
Who Masked
PARTICIPANT
Purpose
OTHER
Intervention Model
PARALLEL
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Chief Scientist

Study Record Dates

First Submitted

March 9, 2026

First Posted

April 15, 2026

Study Start

April 10, 2026

Primary Completion (Estimated)

May 31, 2026

Study Completion (Estimated)

May 31, 2026

Last Updated

April 15, 2026

Record last verified: 2026-04