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Completed

NCT Number: NCT06864364

Effect of Visualization of Functional Milk Efficacy on Perceived Benefits

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.

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Key information

Age range

45 year–75 year

Sex eligibility

All sexes

Study type

Interventional

Phase

Not applicable

Primary location

Sun Yat-Sen Memorial Hospital

Guangzhou, Guangdong, China

About this study

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

Who can participate

Healthy volunteers accepted: Yes

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

  • Willing and able to understand and sign a written informed consent prior to study entry
  • Deemed able to comply with the requirements of the study protocol and consume study product
  • BMI: 18.5-35.0 kg/m2 (inclusive)
  • Age: 45-75y (inclusive 45 and 75)
  • Males and females
  • 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
  • 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
  • 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
  • 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

  • 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.
  • Any acute illness or any recent medical/ surgical intervention within 3 months prior to enrolment potentially interfering with study procedures and assessments.
  • Known or suspected cow's milk protein allergy (CMPA), lactose and /or soy intolerance /hypersensitivity.
  • 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.
  • Current smoker (e.g., cigarette, tobacco, cannabis) who exceeds 5 cigarettes per week.
  • Patients with refractory hypertension, and patients with hypertension who are taking antihypertensive drugs (beta-blockers, thiazide diuretics) that may affect blood glucose metabolism.
  • 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.
  • Participants on systemic corticosteroids, glucocorticoids, or cyclosporine A.
  • Female participants who are pregnant or intending to become pregnant, lactating and or breastfeeding.
  • Participants who had a significant weight loss (≥5%) within the last 6 months or follow a weight loss programme.
  • 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.
  • Participants who do not regularly (≤ 3 times per week) drink dairy milk.
  • 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.
  • Medically known cutaneous hypersensitivity to adhesives, silicon watchstrap and plasters.
  • High daily coffee consumption (≥400 mg of caffeine/day, equivalent to ≥4 cups of coffee).
  • Currently participating in another interventional clinical study.
  • Having two (or more) participants from the same household already enrolled in the study.

Treatment and study plan

CGM feedback visualization

Other

The subject will have CGM feedback visualization

milk supplemented with mulberry leaves extract

Dietary Supplement

milk supplemented with mulberry leaves extract

blinded CGM feedback visualization

Other

The subject will have blinded CGM feedback visualization

Primary outcomes

  1. 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

Secondary outcomes

  1. 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.

  2. 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.

  3. 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.

    • 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
    • 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
    • Did you drank it in the morning with breakfast? Yes No
    • Has anyone else in your household drank Yiyang TangLv since the intervention ended (visit 5)? Yes No not sure
    • Have you recommended Yiyang TangLv to anyone since the study end of the intervention (visit 5)? Yes No
  4. 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) .

  5. CGM markers - 24h iAUC

    Time frame: From enrollment to day 30

    Changes in CGM markers. (mmol/L x min)

  6. CGM markers - iCmax

    Time frame: From enrollment to day 30

    Changes in CGM markers in response to IP intake (mmol/L) .

  7. CGM markers - Tmax

    Time frame: From enrollment to day 30

    Changes in CGM markers in response to IP intake (min).

  8. CGM markers - time in range (TIR)

    Time frame: From enrollment to day 30

    Changes in CGM markers (%).

  9. CGM markers - average interstitial glucose

    Time frame: From enrollment to day 30

    Changes in CGM markers (mmol/L).

  10. CGM markers - coefficient of variance (CV)

    Time frame: From enrollment to day 30

    Changes in CGM markers (%) .

  11. CGM markers - mean amplitude of glycaemic excursion (MAGE)

    Time frame: From enrollment to day 30

    Changes in CGM markers (mmol/L) .

Other outcomes

  1. Long-term glucose metabolism -HbA1c

    Time frame: From day 0 to day 88

    HbA1c (%) changes

  2. 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

  3. Macronutrient and energy intake

    Time frame: From enrollment to day 88

    Changes in dietary intake measured using 3-day-food diaries

  4. 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)

  5. 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

  6. Long-term glucose metabolism -fasting plasma glucose

    Time frame: From day 0 to day 88

    fasting plasma glucose (mmol/L) changes

  7. Long-term glucose metabolism -insulin levels

    Time frame: From day 0 to day 88

    insulin levels ( μU/mL) changes

  8. Long-term glucose metabolism -HOMA-IR

    Time frame: From day 0 to day 88

    HOMA-IR (numerical index) changes

  9. lipid metabolism changes - HDL-C

    Time frame: From day 0 to day 88

    HDL-C (mmol/L) changes

  10. lipid metabolism changes - LDL-C

    Time frame: From day 0 to day 88

    LDL-C(mmol/L)changes

  11. lipid metabolism changes -Total cholesterol

    Time frame: From day 0 to day 88

    Total cholesterol (mmol/L) changes

  12. lipid metabolism changes - Triglycerides

    Time frame: From day 0 to day 88

    Triglycerides(mmol/L)changes

  13. Weight outcomes changes - waist circumference

    Time frame: From day 0 to day 88

    waist circumference(cm)changes

  14. 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.

  15. Weight outcomes changes - Body weight,

    Time frame: From day 0 to day 88

    Body weight (kg) changes

  16. 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.

Sponsors and collaborators

Lead sponsor

Société des Produits Nestlé (SPN)

Industry

Collaborators

  • Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University
  • Sun Yat-sen University

Registry information

Official study title

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

Important dates

Study start
2025
Primary completion
2025
Study completion
2025
First posted
Mar 7, 2025
Registry last updated
Feb 12, 2026

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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