Acute Responses to Dietary Carbohydrate Manipulation
The Acute Responses to Manipulating Dietary Carbohydrate Content and Type on All Major Aspects of Energy Balance
Sugar is perceived negatively, leading to government taxation and targets to reduce consumption. These actions have been taken based on the limited evidence that high-sugar diets are associated with greater total energy intake. However, energy intake comprises just one half of the energy balance equation (e.g. balance = intake - expenditure). Without considering energy expenditure, it is impossible to understand the effects of sugar on health. Sugar, and perhaps total carbohydrate intake, may be important for energy balance - perhaps by stimulating increased energy expenditure.
Understanding dietary regulators of energy balance is more important than ever before, because diseases like obesity are a consequence of energy surplus (i.e. energy intake > energy expenditure). No studies have investigated a causal role of dietary sugar or carbohydrate on energy balance. The proposed research will seek to understand the acute (e.g. 24-hour) responses to manipulating dietary carbohydrate and sugar content on energy balance and health.
This research will contribute to enabling individuals to make informed dietary choices about carbohydrate and sugar consumption.
To achieve this, healthy non-obese adults will be recruited to a randomised crossover study. Measures of energy intake, energy expenditure, metabolic health, appetite, food preference, and gut microbiota will be taken. All laboratory trials will take place at the University of Bath.
Three diets will be investigated:
- Control - reflecting the composition of a typical European diet
- Low sugar - the same composition of a typical European diet but with <5% energy intake from sugar
- Low carbohydrate - low carbohydrate diet with <5% energy intake from sugar and <8% energy intake from carbohydrate, replacing carbohydrate energy with fat
The study will consist of a 3-day lead-in period with the control diet followed by one trial day with each diet.
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Detailed Description
Dietary sugar is increasingly perceived in a negative way. This has led to taxation by government and guidelines by global public health bodies to reduce sugar intake to <5% of energy intake. All available public health guidelines regarding sugar advocate a reduction in sugar intake, despite a lack of evidence to support these recommendations. These guidelines focus on the association between sugar intake and energy intake, without regard for energy expenditure. This oversimplifies situations in which energy surplus is pathological, for example in diseases like obesity. This complexity is demonstrated by evidence that dietary sugar intake is decreasing in the United Kingdom, whilst rates of obesity have increased in the same timeframe.
It is important to consider energy expenditure in the context of health. The most variable component of energy expenditure between individuals is physical activity energy expenditure (PAEE), which varies from ~600-2100 kcal per day in men of a similar demographic. Current guidelines do not regard the effect that changing dietary sugar might have on PAEE and therefore total energy expenditure.
Carbohydrate availability dictates the capacity to perform physical work. However, the role of carbohydrate in regulating physical activity behaviours has only recently been considered. Ingestion of a carbohydrate-rich breakfast causes a significant increase in 24-hour PAEE compared with no breakfast consumption before midday. The magnitude of this difference is greatest prior to midday, near to when carbohydrate had been ingested and when glucose uptake to peripheral tissue is increased. This points towards a stimulatory role of carbohydrate or sugar on PAEE when carbohydrate is readily available to peripheral tissue. The amount of carbohydrate present in skeletal muscle is dictated by the amount of carbohydrate in the diet. As physical activity is performed by skeletal muscle, dietary carbohydrate intake may regulate physical activity behaviour. Consequently, reducing total carbohydrate intake may result in reduced PAEE.
Studies in which carbohydrate has been manipulated and physical activity has been measured have not been sufficient in answering this research question. Often self-report measures of physical activity are used, which are not sensitive enough to discern meaningful differences. Studies which have measured physical activity objectively, i.e. using pedometers or accelerometers, are confounded by a lack of information about actual carbohydrate intake or concurrent prescription of exercise interventions. Furthermore, government targets of reduced sugar intake to <5% of total energy intake are not aimed at overall carbohydrate intake per se. In the breakfast study mentioned, sugar intake was significantly greater amongst individuals who ate breakfast compared with individuals who fasted until midday. Therefore, it is also plausible that a regulatory role of carbohydrate on PAEE may be due to the type of carbohydrate rather than the absolute amount.
If the availability of carbohydrate to peripheral tissue plays a regulatory role on PAEE, then theoretically the effects of manipulating the amount or type of carbohydrate will be detectable acutely, within 24 hours.
Study Type
Study Type
Enrollment (Actual)
Enrollment
Phase
Phase
- Not Applicable
Contacts and Locations
Study Locations
-
-
-
Bath, United Kingdom, BA2 7AY
- Department for Health, University of Bath
-
-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Description
Inclusion Criteria:
- Body mass index 18.5-29.9 kg∙m-2
- Age 18-65 years
- Able and willing to provide informed consent and safely comply with study procedures
- Females to maintain record of regular menstrual cycle phase or contraceptive use
- No anticipated changes in diet/physical activity during the study (e.g. holidays or diet plans)
Exclusion Criteria:
- Any reported condition or behaviour deemed either to pose undue personal risk to the participant or introduce bias
- Any diagnosed metabolic disease (e.g. type 1 or type 2 diabetes)
- Any reported use of substances which may pose undue personal risk to the participants or introduce bias into the experiment
- Lifestyle not conforming to standard sleep-wake cycle (e.g. shift worker)
- Any reported recent (<6 months) change in body mass (± 3%)
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Basic Science
- Allocation: Randomized
- Interventional Model: Crossover Assignment
- Masking: None (Open Label)
Number of Arms
Arms and Interventions
Participant Group / ArmParticipant Group / Arm |
Intervention / TreatmentIntervention / Treatment |
|---|---|
|
Active Comparator: CONTROL
Diet consisting of 50% carbohydrate (20% sugar), 15% protein, 35% fat
|
Macronutrient composition (specifically type and/or amount of carbohydrate) is manipulated
|
|
Experimental: LOW SUG
Diet consisting of 50% carbohydrate (<5% sugar), 15% protein, 35% fat
|
Macronutrient composition (specifically type and/or amount of carbohydrate) is manipulated
|
|
Experimental: LOW CHO
Diet consisting of <8% carbohydrate (<5% sugar), 15% protein, >77% fat
|
Macronutrient composition (specifically type and/or amount of carbohydrate) is manipulated
|
What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
24-hour physical activity energy expenditure (kcal/day)
Time Frame: 24 hours
|
24-hour physical activity energy expenditure (kcal/day)
|
24 hours
|
Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
24-hour energy intake (kcal/day)
Time Frame: 24 hours
|
24-hour energy intake (kcal/day)
|
24 hours
|
|
Fasting glucose concentrations
Time Frame: 24 hours
|
Fasting glucose concentrations in serum samples
|
24 hours
|
|
Postprandial glucose concentrations
Time Frame: 24 hours
|
Postprandial glucose concentrations in serum samples
|
24 hours
|
|
Fasting insulin concentrations
Time Frame: 24 hours
|
Fasting insulin concentrations in serum samples
|
24 hours
|
|
Postprandial insulin concentrations
Time Frame: 24 hours
|
Postprandial insulin concentrations in serum samples
|
24 hours
|
|
Fasting triglyceride concentrations
Time Frame: 24 hours
|
Fasting and postprandial triglyceride concentrations determined in plasma samples
|
24 hours
|
|
Postprandial triglyceride concentrations
Time Frame: 24 hours
|
Postprandial triglyceride concentrations in serum samples
|
24 hours
|
|
Fasting non-esterified fatty acid concentrations
Time Frame: 24 hours
|
Fasting non-esterified fatty acid concentrations in serum samples
|
24 hours
|
|
Postprandial non-esterified fatty acid concentrations
Time Frame: 24 hours
|
Postprandial non-esterified fatty acid concentrations in serum samples
|
24 hours
|
|
Fasting beta-hydroxybutyrate concentrations
Time Frame: 24 hours
|
Fasting beta-hydroxybutyrate concentrations in serum samples
|
24 hours
|
|
Postprandial beta-hydroxybutyrate concentrations
Time Frame: 24 hours
|
Postprandial beta-hydroxybutyrate concentrations in serum samples
|
24 hours
|
|
Subjective appetite
Time Frame: 24 hours
|
Measured by 0-100 mm visual analogue scale
|
24 hours
|
|
Food preference ratings
Time Frame: 24 hours
|
Food preference ratings determined by bespoke computer software
|
24 hours
|
|
Resting substrate oxidation
Time Frame: 24 hours
|
Resting substrate oxidation determined by indirect calorimetry
|
24 hours
|
|
Postprandial substrate oxidation
Time Frame: 24 hours
|
Postprandial substrate oxidation determined by indirect calorimetry
|
24 hours
|
|
Palatability
Time Frame: 24 hours
|
Measured by 0-100 mm visual analogue scale
|
24 hours
|
|
Fasting cholesterol, HDL, and LDL concentrations
Time Frame: 24 hours
|
Fasting cholesterol, HDL, and LDL concentrations in serum samples
|
24 hours
|
|
Postprandial cholesterol, HDL, and LDL concentrations
Time Frame: 24 hours
|
Postprandial cholesterol, HDL, and LDL concentrations in serum samples
|
24 hours
|
|
Fasting leptin concentrations
Time Frame: 24 hours
|
Fasting leptin concentrations in serum samples
|
24 hours
|
|
Postprandial leptin concentrations
Time Frame: 24 hours
|
Postprandial leptin concentrations in serum samples
|
24 hours
|
|
Macronutrient intake
Time Frame: 24 hours
|
Macronutrient intake across 24-h
|
24 hours
|
|
Fasting FGF21 concentrations
Time Frame: 24 hours
|
Fasting FGF21 concentrations in serum samples
|
24 hours
|
|
Postprandial FGF21 concentrations
Time Frame: 24 hours
|
Postprandial FGF21 concentrations in serum samples
|
24 hours
|
|
Eating rate
Time Frame: 24 hours
|
Time taken to eat test meals
|
24 hours
|
|
Body mass
Time Frame: 24 hours
|
Body mass
|
24 hours
|
|
Waist and hip circumference
Time Frame: 24 hours
|
Waist and hip circumference, waist:hip ratio
|
24 hours
|
|
Fasting haematology profile
Time Frame: 24 hours
|
Fasting haematology profile including WBC, RBC, HGB, haematocrit, platelet count
|
24 hours
|
Collaborators and Investigators
Sponsor
Sponsor
Publications and helpful links
General Publications
- Betts JA, Richardson JD, Chowdhury EA, Holman GD, Tsintzas K, Thompson D. The causal role of breakfast in energy balance and health: a randomized controlled trial in lean adults. Am J Clin Nutr. 2014 Aug;100(2):539-47. doi: 10.3945/ajcn.114.083402. Epub 2014 Jun 4.
- Smith HA, Gonzalez JT, Thompson D, Betts JA. Dietary carbohydrates, components of energy balance, and associated health outcomes. Nutr Rev. 2017 Oct 1;75(10):783-797. doi: 10.1093/nutrit/nux045.
- Erickson J, Sadeghirad B, Lytvyn L, Slavin J, Johnston BC. The Scientific Basis of Guideline Recommendations on Sugar Intake: A Systematic Review. Ann Intern Med. 2017 Feb 21;166(4):257-267. doi: 10.7326/M16-2020. Epub 2016 Dec 20.
- Hengist A, Davies RG, Rogers PJ, Brunstrom JM, van Loon LJC, Walhin JP, Thompson D, Koumanov F, Betts JA, Gonzalez JT. Restricting sugar or carbohydrate intake does not impact physical activity level or energy intake over 24 h despite changes in substrate use: a randomised crossover study in healthy men and women. Eur J Nutr. 2022 Nov 3. doi: 10.1007/s00394-022-03048-x. Online ahead of print.
Helpful Links
Study record dates
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Actual)
Primary Completion
Study Completion (Actual)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Keywords
Other Study ID Numbers
Other Study ID Numbers
- EP 17/18 87
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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