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Alternating Energy Intake and Blood Fat Content After a Meal

The Effect of Alternating Energy Intake Compared to Regular Energy Intake on the Fat Content in the Blood After a Meal in Abdominally Obese Adults

Status
UNKNOWN
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT04894526
Enrollment
23
Registered
2021-05-20
Start date
2021-07-14
Completion date
2022-12-31
Last updated
2022-08-26

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Abdominal Obesity, Glucose Metabolism, Lipid Metabolism, Postprandial Lipemia

Keywords

Alternating Energy Intake, Abdominal Obesity, Postprandial Lipemia, Lipid Metabolism, Glucose Metabolism

Brief summary

Increasing evidence suggests that meal timing affects metabolic health. For example, intermittent fasting (IF) may have positive effects on plasma glucose and lipid levels, insulin sensitivity, and blood pressure. However, IF protocols often result in significant weight loss. Therefore, it is not clear to what extent these beneficial metabolic effects are due to IF or to weight loss. Although the effect of IF independent of weight loss has been studied, daily energy intake in those studies did not differ between the days. Therefore, the investigators aim to examine the effect of alternating energy intake - i.e. standardised day-to-day fluctuations in energy intake - on metabolic health independent of weight loss.

Interventions

OTHERAlternating Energy Intake

To alternate between caloric overconsumption (130% of usual total energy needs) and caloric underconsumption (70% of usual total energy needs) on a daily basis for 6 days/week followed by one ad libitum day for 4 weeks.

OTHERRegular Energy Intake

To consume the usual energy intake (100% of total energy needs) on a daily basis for 6 days/week, also followed by one ad libitum day for 4 weeks.

Sponsors

Maastricht University Medical Center
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
CROSSOVER
Primary purpose
PREVENTION
Masking
DOUBLE (Investigator, Outcomes Assessor)

Eligibility

Sex/Gender
ALL
Age
18 Years to 75 Years
Healthy volunteers
Yes

Inclusion criteria

* Apparently healthy men and women as judged by study physician * Abdominally obese males (waist circumference ≥ 102 cm) and females (waist circumference ≥ 88 cm) * Aged between 18 - 75 years * Stable bodyweight (weight gain or loss ≤ 3 kg in the past three months) * Willingness to give up being a blood donor (or having donated blood) from 8 weeks before the start of the study, during the study and for 4 weeks after completion of the study * No difficult venipuncture as evidenced during the screening visit * Women should be pre- or postmenopausal * Sedentary (light exercise \< 1 h per week) or moderately active (moderate exercise 1-2 h per week) * Having a general practitioner * Agreeing that the participant and general practitioner will be informed about medically relevant personal test results by a physician * Willing to comply to study protocol during study * Informed consent signed

Exclusion criteria

* Fasting plasma glucose ≥ 7 mmol/l * Fasting serum triacylglycerol ≥ 4.5 mmol/l * Fasting serum total cholesterol ≥ 8 mmol/l * Blood pressure ≥ 160/100 mm Hg * Current smoker, or smoking cessation \< 12 months * Drug abuse * Alcohol abuse (≥ 21 alcohol consumptions per week) * Use of medication known to affect blood pressure, serum lipid metabolism, or glucose metabolism * Having a medical condition or history which might impact study measurements, to be judged by the study physician (e.g. myocardial infarction, angina, thrombosis, stroke, cancer, familiar hypercholesterolemia, liver or bowel disease or diabetes) * Active cardiovascular disease like congestive heart failure or cardiovascular event, such as an acute myocardial infarction or cerebrovascular accident * Use of an investigational product within another biomedical intervention trial within the previous 1-month * Women who are perimenopausal, have an irregular menstrual cycle, or are pregnant * Use of over-the-counter and prescribed medication, which may interfere with study measurements (to be judged by the principal investigator), e.g. weight loss medication * Reported dietary habits: medically prescribed diets or slimming diets * Reported participation in night shift work 2 weeks prior to screening and/or during the study. Night work is defined as working between midnight and 6.00 AM

Design outcomes

Primary

MeasureTime frameDescription
Triacylglycerol area under the curve (AUC)4 hoursThe 4-hour AUC for triacylglycerol after consumption of a standardised mixed meal

Secondary

MeasureTime frameDescription
Fasting lipid metabolismBaseline, week 2, and twice in week 4Fasting serum lipid and lipoprotein profile
Marker for postprandial lipid metabolism4 hour period after consumption of a standardised mixed mealMarker for lipid metabolism includes triacylglycerol and will be measured after consumption of a standardised mixed meal
Markers for postprandial glucose metabolism4 hour period after consumption of a standardised mixed mealMarkers for glucose metabolism include insulin and glucose and will be measured after consumption of a standardised mixed meal
24-hour glucose levels24 hoursThe total area under the curve (tAUC) for 24-hour glucose as measured with a continuous glucose sensor
Day-time glucose levelsFrom 07:00 to 22:00 (15 hours)The tAUC for day-time glucose (07:00 - 22:00 h) as measured with a continuous glucose sensor
Night-time glucose levelsFrom 22:01 to 06:59 (8 hours and 58 min)The tAUC for night-time glucose (22:01 - 06:59 h) as measured with a continuous glucose sensor
Glucose levels after main meal consumption2 hoursThe tAUC for glucose during 2 hours after main meal consumption (breakfast, lunch and dinner) as measured with a continuous glucose sensor.
The mean amplitude of glycemic excursions (MAGE)24 hoursMAGE as parameter for the assessment of glycemic variability.
Continuous overall net glycemic action (CONGA)1 hour, 2 hours, and 4 hoursCONGA to assess intraday glucose variability within predetermined time windows -\> 1-hour interval (CONGA-1), 2-hour interval (CONGA-2), and 4-hour interval (CONGA-4).
Fasting glucose metabolismBaseline, week 2, and twice in week 4Fasting glucose metabolism (includes e.g. glucose and insulin concentrations)

Other

MeasureTime frameDescription
Body Mass IndexBaseline, week 2, week 3, and twice in week 4Body weight and height will be combined to report BMI in kg/m\^2
Waist circumferenceBaseline, week 2, week 3, and twice in week 4Waist circumference in centimeters
High-Sensitivity C-Reactive Protein (hs-CRP) levelsBaseline, week 2, and twice in week 4Fasting hs-CRP as inflammatory marker
Blood pressureBaseline, week 2, week 3, and twice in week 4Office systolic and diastolic blood pressure
Body weightBaseline, week 2, week 3, and twice in week 4Body weight in kilograms
HeightBaseline, week 2, week 3, and twice in week 4Height in centimeters
Waist to hip ratioBaseline, week 2, week 3, and twice in week 4Waist and hip circumference will be used to report the waist to hip ratio
Hip circumferenceBaseline, week 2, week 3, and twice in week 4Hip circumference in centimeters

Countries

Netherlands

Contacts

Primary ContactMaite M. Schroor, MSc.
maite.schroor@maastrichtuniversity.nl+31433884258
Backup ContactRonald P. Mensink, PhD
r.mensink@maastrichtuniversity.nl+31433881308

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026