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Clinical Trial Details — Status: Completed

Administrative data

NCT number NCT02529228
Other study ID # 2015/01504
Secondary ID
Status Completed
Phase N/A
First received August 17, 2015
Last updated August 18, 2015
Start date December 2014
Est. completion date August 2015

Study information

Verified date August 2015
Source Clinical Nutrition Research Centre, Singapore
Contact n/a
Is FDA regulated No
Health authority Singapore: Domain Specific Review Boards
Study type Interventional

Clinical Trial Summary

This study examines the effect of meal frequency and meal composition on risk factors of cardiometabolic disease.


Description:

Cardio-Metabolic Disease (CMD) is the leading cause of death globally & in Singapore. Large scale epidemiological evidence confirmed that elevated postprandial Glucose, Insulin, Triglycerides are major risk factors for CMD. Recent evidence suggests benefits from high protein diets but the health effects of eating smaller meals remain enigmatic. The aim of this study is to examine Meal frequency (2-large vs 6-smaller isocaloric meals), under High or Low Protein loads on acute postprandial health biomarkers . The investigators hypothesized that Higher Protein & Higher Meal Frequency would be beneficial for cardiometabolic health.


Recruitment information / eligibility

Status Completed
Enrollment 10
Est. completion date August 2015
Est. primary completion date May 2015
Accepts healthy volunteers Accepts Healthy Volunteers
Gender Male
Age group 21 Years to 40 Years
Eligibility Inclusion Criteria:

- Chinese Males

- Age: 21 - 50 years.

- Body mass stable within the last 2 months by self-report.

- Body mass index (BMI): < 30kg/m2.

- Normal fasting blood glucose level= 6.0 mmol/L

- Blood pressure = 140/90 mmHg

- Not participating in any dietary interventions in the past 2-months.

Exclusion Criteria:

- Special dietary practice (e.g. Vegetarians, Atkins diet) or diets due to religious reasons during the study period (e.g. Fasting for Ramadan)

- Smoking.

- Excessive alcohol consumption: consuming alcohol on >4 days per week with =5 alcoholic drinks (males) and =4 alcoholic drinks (females) per time (National Health Survey, 2010).

- Metabolic Diseases (including thyroid dysfunction)

- Using Medication affecting carbohydrate and fat metabolism

- Allergy to any components of the provided meals (gluten, nuts, milk, dairy)

Study Design

Allocation: Randomized, Intervention Model: Crossover Assignment, Masking: Open Label, Primary Purpose: Prevention


Intervention

Other:
Meal (Eating) Frequency
Dividing meal intake into 2 or 6 meals with equal energy content
Protein Composition
Consuming meals with higher or lower protein.

Locations

Country Name City State
n/a

Sponsors (1)

Lead Sponsor Collaborator
Clinical Nutrition Research Centre, Singapore

Outcome

Type Measure Description Time frame Safety issue
Primary Venous Plasma Glucose Biochemical variable on a continuous scale. Postprandially 8.5 hours in response to the various diets No
Primary Venous Plasma Insulin Biochemical variable on a continuous scale. Postprandially 8.5 hours in response to the various diets No
Primary Venous Plasma Triglyceride Biochemical variable on a continuous scale. Postprandially 8.5 hours in response to the various diets No
Primary Blood Pressure Systolic and Diastolic Pressure measured in mmHg Postprandially 8.5 hours in response to the various diets No
Primary Interstitial Glucose Measured using a continuous glucose monitor. Postprandially 8.5 hours in response to the various diets No
Secondary Urinary F2 Isoprostanes Biochemical variable on a continuous scale. Postprandially 8.5 hours in response to the various diets No
Secondary Subjective Appetite Ratings Measured on a 100mm Visual Analog Scale (VAS). 0mm=Not full at all, 100mm= Extremely full. Postprandially 8.5 hours in response to the various diets No
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