Effect of Visualization of Functional Milk Efficacy on Perceived Benefits

February 11, 2026 updated by: Société des Produits Nestlé (SPN)

Effect of Continuous Glucose Monitoring on Perceived Benefits of a Milk With Mulberry Leave Extract in Non-diabetic Adult Chinese Population

This study aims to demonstrate the effect of visualizing the effect of consuming a functional milk on postprandial glucose response on perceived benefits compared to absence of visualization.

Study Overview

Detailed Description

This is a multi-centric double-blind, randomized, 2-arm parallel group clinical study to investigate the effect of of consuming a functional milk on postprandial glucose response on perceived benefits compared to absence of visualization.

The study is divided in 3 periods: 1) reference period in which both groups will have a blinded Continuous Glucose Monitoring (CGM) sensor; 2) intervention period where participants will have either CGM feedback visualization or blinded CGM feedback visualization, while both arms consume a functional milk powder; 3) follow-up in free-living conditions.

Outcomes of this study will include plasma HbA1c, glucose, insulin and lipids levels, perceived benefits and adherence questionnaire, dietary intake and physical activity and real usage.

This will be conducted in a total of 170 healthy adults of Chinese ethnicity aged 45-75 years

Study Type

Interventional

Enrollment (Actual)

170

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

    • Guangdong
      • Guangzhou, Guangdong, China
        • Sun Yat-sen Memorial Hospital

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Adult
  • Older Adult

Accepts Healthy Volunteers

Yes

Description

Inclusion Criteria:

  1. Willing and able to understand and sign a written informed consent prior to study entry
  2. Deemed able to comply with the requirements of the study protocol and consume study product
  3. BMI: 18.5-35.0 kg/m2 (inclusive)
  4. Age: 45-75y (inclusive 45 and 75)
  5. Males and females
  6. HbA1c ≤ 6.4 % and FPG ≤ 6.90 mmol/L (125 mg/dl) to exclude diabetic individuals based on the National Institute of Health and Care (NICE) criteria
  7. Regularly consuming a carbohydrate containing breakfast (≥30g of total CHO) assessed by a food recall only at breakfast of the previous day to the screening visit
  8. Having a sedentary lifestyle meaning do not usually conduct vigorous*-intense physical activity and are willing to abstain from it during reference and intervention period
  9. If on chronic medication such as lipid-lowering, thyroid medication, etc., the dosage must be constant for at least 3 months prior to screening.

    • Activities such as jogging, running, carrying heavy objects or other loads upstairs, shoveling snow, participating in a fitness class, and fast swimming, that will lead to hard and fast breathing.

Exclusion Criteria:

  1. Pre-existing chronic medical condition and/or history of significant medical condition (e.g. malignancy, significant organ dysfunction, autoimmune and/ or genetic disease, gastrointestinal disease, endocrine disease (e.g. diabetes mellitus, history of hypoglycemia, polycystic disease syndrome, Addison's disease, Cushing's syndrome, acromegaly), acute or chronic infectious condition (e.g. hepatitis B and C, HIV, tuberculosis), cardiovascular disease (heart failure, angina, myocardial infarction, stroke), renal disease (renal insufficiency), hepatic (liver cirrhosis, liver failure) or respiratory disease (COPD), hematological disorder (e.g. anemia), neurological and/or psychiatric conditions (e.g. depression, psychotic disorders, chronic insomnia eating disorder), as diagnosed by the treating physician, which in the opinion of the site physician/ investigator may risk participant wellbeing/ safety, impede participant compliance with study procedures or ability to complete the study and/ or could confound the primary objectives of the study.
  2. Any acute illness or any recent medical/ surgical intervention within 3 months prior to enrolment potentially interfering with study procedures and assessments.
  3. Known or suspected cow's milk protein allergy (CMPA), lactose and /or soy intolerance /hypersensitivity.
  4. Known substance abuse or alcohol user exceeds following intake on a regular basis, alcohol intake > 2 servings per day for males and > 1 servings per day for females. A serving is 40ml of strong alcohol, 100 ml of red or white wine, or 300 ml of beer.
  5. Current smoker (e.g., cigarette, tobacco, cannabis) who exceeds 5 cigarettes per week.
  6. Patients with refractory hypertension, and patients with hypertension who are taking antihypertensive drugs (beta-blockers, thiazide diuretics) that may affect blood glucose metabolism.
  7. Female participants currently on hormonal therapy including post-menopausal hormone Replacement Therapy (PRT) or have been on PRT treatment in the past two months before study participation.
  8. Participants on systemic corticosteroids, glucocorticoids, or cyclosporine A.
  9. Female participants who are pregnant or intending to become pregnant, lactating and or breastfeeding.
  10. Participants who had a significant weight loss (≥5%) within the last 6 months or follow a weight loss programme.
  11. Following diets with low carbohydrate content (e.g., ketogenic diet, Atkins diet, low-carb diet, carb cycling diet), intermittent fasting, breakfast skippers or any self-restricted, controlled, or special therapeutic diet.
  12. Participants who do not regularly (≤ 3 times per week) drink dairy milk.
  13. Use of multivitamin/ multimineral supplements (including vitamin C, supplements fiber-based or derived of leaf extracts or known to/intended to lower blood glucose as per package claim) up to 15 days prior to screening.
  14. Medically known cutaneous hypersensitivity to adhesives, silicon watchstrap and plasters.
  15. High daily coffee consumption (≥400 mg of caffeine/day, equivalent to ≥4 cups of coffee).
  16. Currently participating in another interventional clinical study.
  17. Having two (or more) participants from the same household already enrolled in the study.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Prevention
  • Allocation: Randomized
  • Interventional Model: Parallel Assignment
  • Masking: Quadruple

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Experimental: Visualization (intervention arm, group A)
CGM feedback visualization
The subject will have CGM feedback visualization
milk supplemented with mulberry leaves extract
Placebo Comparator: Blinded Visualization (control arm, group B)
blinded for CGM feedback visualization
milk supplemented with mulberry leaves extract
The subject will have blinded CGM feedback visualization

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Likert-scale for perceived benefit
Time Frame: From enrollment to day 30
A Likert-scale from 1 (very unlikely) to 7 (very likely) on perceived product benefits
From enrollment to day 30

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Likert-scale for product experience
Time Frame: From enrollment to day 15 and day 30
A Likert-scale from 1 (very unlikely) to 7 (very likely) on product experience.
From enrollment to day 15 and day 30
Likert-scale for perceived benefit
Time Frame: From enrollment to day 15
A Likert-scale from 1 (very unlikely) to 7 (very likely) on perceived product benefits.
From enrollment to day 15
Actual usage and recommendation behavior
Time Frame: At day 88

Actual usage and recommendation behavior will be measured comparing answers at the end of the follow up period (V6) from Group A vs. Group B to 5 questions generated for this study.

  1. Have you bought Yiyang TangLv since the intervention ended (visit 5)? Yes No 1.1 If so, how many tins or/and sachet did you buy? (Specify number) This includes for yourself or family ___ tins

    • sachets
  2. How often have you drank Yiyang TangLv since the end intervention (visit 5)? Never <3 times a week 4-6 days a week 7 days a week
  3. Did you drank it in the morning with breakfast? Yes No
  4. Has anyone else in your household drank Yiyang TangLv since the intervention ended (visit 5)? Yes No not sure
  5. Have you recommended Yiyang TangLv to anyone since the study end of the intervention (visit 5)? Yes No
At day 88
CGM markers - iAUC0-60,120,180 min post-breakfast
Time Frame: From enrollment to day 30
Changes in CGM markers in response to IP intake (mmol/L x min) .
From enrollment to day 30
CGM markers - 24h iAUC
Time Frame: From enrollment to day 30
Changes in CGM markers. (mmol/L x min)
From enrollment to day 30
CGM markers - iCmax
Time Frame: From enrollment to day 30
Changes in CGM markers in response to IP intake (mmol/L) .
From enrollment to day 30
CGM markers - Tmax
Time Frame: From enrollment to day 30
Changes in CGM markers in response to IP intake (min).
From enrollment to day 30
CGM markers - time in range (TIR)
Time Frame: From enrollment to day 30
Changes in CGM markers (%).
From enrollment to day 30
CGM markers - average interstitial glucose
Time Frame: From enrollment to day 30
Changes in CGM markers (mmol/L).
From enrollment to day 30
CGM markers - coefficient of variance (CV)
Time Frame: From enrollment to day 30
Changes in CGM markers (%) .
From enrollment to day 30
CGM markers - mean amplitude of glycaemic excursion (MAGE)
Time Frame: From enrollment to day 30
Changes in CGM markers (mmol/L) .
From enrollment to day 30

Other Outcome Measures

Outcome Measure
Measure Description
Time Frame
Long-term glucose metabolism -HbA1c
Time Frame: From day 0 to day 88
HbA1c (%) changes
From day 0 to day 88
International physical activity questionnaire
Time Frame: From enrollment to day 88
Changes in physical activity levels captured via the International physical activity questionnaire (IPAQ), category: low, moderate, high
From enrollment to day 88
Macronutrient and energy intake
Time Frame: From enrollment to day 88
Changes in dietary intake measured using 3-day-food diaries
From enrollment to day 88
Actual changes in perceived change in lifestyle
Time Frame: From enrollment to day 88

Actual changes in perceived change in lifestyle will be measured by answering questions:

1 Do you feel that continuous glucose monitor use contributed to you making changes for a healthier lifestyle? (Yes/No/Not sure) 2. After continuous glucose monitor use, do you feel that you changed your diet by limiting or including certain foods? (Yes/No/Not sure) 3. Do you think continuous glucose monitor use made you more likely to be more active/increase your exercise? (Yes/No/Not sure)

From enrollment to day 88
App usage - App screen time
Time Frame: From enrollment to day 30
Understanding of the app usage will be measured throughout the intervention period with metric of App screen time
From enrollment to day 30
Long-term glucose metabolism -fasting plasma glucose
Time Frame: From day 0 to day 88
fasting plasma glucose (mmol/L) changes
From day 0 to day 88
Long-term glucose metabolism -insulin levels
Time Frame: From day 0 to day 88
insulin levels ( μU/mL) changes
From day 0 to day 88
Long-term glucose metabolism -HOMA-IR
Time Frame: From day 0 to day 88
HOMA-IR (numerical index) changes
From day 0 to day 88
lipid metabolism changes - HDL-C
Time Frame: From day 0 to day 88
HDL-C (mmol/L) changes
From day 0 to day 88
lipid metabolism changes - LDL-C
Time Frame: From day 0 to day 88
LDL-C(mmol/L)changes
From day 0 to day 88
lipid metabolism changes -Total cholesterol
Time Frame: From day 0 to day 88
Total cholesterol (mmol/L) changes
From day 0 to day 88
lipid metabolism changes - Triglycerides
Time Frame: From day 0 to day 88
Triglycerides(mmol/L)changes
From day 0 to day 88
Weight outcomes changes - waist circumference
Time Frame: From day 0 to day 88
waist circumference(cm)changes
From day 0 to day 88
Weight outcomes changes - BMI
Time Frame: From day 0 to day 88
weight and height will be combined to report BMI in kg/m^2 , and the changes of BMI.
From day 0 to day 88
Weight outcomes changes - Body weight,
Time Frame: From day 0 to day 88
Body weight (kg) changes
From day 0 to day 88
App usage - numbers of log per days
Time Frame: From enrollment to day 30
Understanding of the app usage will be measured throughout the intervention period with metric of number of log per days.
From enrollment to day 30

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

February 24, 2025

Primary Completion (Actual)

September 15, 2025

Study Completion (Actual)

November 12, 2025

Study Registration Dates

First Submitted

February 6, 2025

First Submitted That Met QC Criteria

March 3, 2025

First Posted (Actual)

March 7, 2025

Study Record Updates

Last Update Posted (Actual)

February 12, 2026

Last Update Submitted That Met QC Criteria

February 11, 2026

Last Verified

February 1, 2026

More Information

Terms related to this study

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

product manufactured in and exported from the U.S.

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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