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Acute Responses to Dietary Carbohydrate Manipulation

The Acute Responses to Manipulating Dietary Carbohydrate Content and Type on All Major Aspects of Energy Balance

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT03509610
Enrollment
25
Registered
2018-04-26
Start date
2017-12-04
Completion date
2021-05-21
Last updated
2021-06-18

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

Conditions

Nutrition and Energy Balance

Keywords

Nutrition, Carbohydrates

Brief summary

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: 1. Control - reflecting the composition of a typical European diet 2. Low sugar - the same composition of a typical European diet but with \<5% energy intake from sugar 3. 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.

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.

Interventions

OTHERDiet

Macronutrient composition (specifically type and/or amount of carbohydrate) is manipulated

Sponsors

University of Bath
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
CROSSOVER
Primary purpose
BASIC_SCIENCE
Masking
NONE

Eligibility

Sex/Gender
ALL
Age
18 Years to 65 Years
Healthy volunteers
Yes

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%)

Design outcomes

Primary

MeasureTime frameDescription
24-hour physical activity energy expenditure (kcal/day)24 hours24-hour physical activity energy expenditure (kcal/day)

Secondary

MeasureTime frameDescription
Fasting glucose concentrations24 hoursFasting glucose concentrations in serum samples
Postprandial glucose concentrations24 hoursPostprandial glucose concentrations in serum samples
Fasting insulin concentrations24 hoursFasting insulin concentrations in serum samples
Postprandial insulin concentrations24 hoursPostprandial insulin concentrations in serum samples
Fasting triglyceride concentrations24 hoursFasting and postprandial triglyceride concentrations determined in plasma samples
Postprandial triglyceride concentrations24 hoursPostprandial triglyceride concentrations in serum samples
Fasting non-esterified fatty acid concentrations24 hoursFasting non-esterified fatty acid concentrations in serum samples
Postprandial non-esterified fatty acid concentrations24 hoursPostprandial non-esterified fatty acid concentrations in serum samples
Fasting beta-hydroxybutyrate concentrations24 hoursFasting beta-hydroxybutyrate concentrations in serum samples
Postprandial beta-hydroxybutyrate concentrations24 hoursPostprandial beta-hydroxybutyrate concentrations in serum samples
Subjective appetite24 hoursMeasured by 0-100 mm visual analogue scale
Food preference ratings24 hoursFood preference ratings determined by bespoke computer software
Resting substrate oxidation24 hoursResting substrate oxidation determined by indirect calorimetry
24-hour energy intake (kcal/day)24 hours24-hour energy intake (kcal/day)
Palatability24 hoursMeasured by 0-100 mm visual analogue scale
Fasting cholesterol, HDL, and LDL concentrations24 hoursFasting cholesterol, HDL, and LDL concentrations in serum samples
Postprandial cholesterol, HDL, and LDL concentrations24 hoursPostprandial cholesterol, HDL, and LDL concentrations in serum samples
Fasting leptin concentrations24 hoursFasting leptin concentrations in serum samples
Postprandial leptin concentrations24 hoursPostprandial leptin concentrations in serum samples
Macronutrient intake24 hoursMacronutrient intake across 24-h
Fasting FGF21 concentrations24 hoursFasting FGF21 concentrations in serum samples
Postprandial FGF21 concentrations24 hoursPostprandial FGF21 concentrations in serum samples
Eating rate24 hoursTime taken to eat test meals
Body mass24 hoursBody mass
Waist and hip circumference24 hoursWaist and hip circumference, waist:hip ratio
Fasting haematology profile24 hoursFasting haematology profile including WBC, RBC, HGB, haematocrit, platelet count
Postprandial substrate oxidation24 hoursPostprandial substrate oxidation determined by indirect calorimetry

Countries

United Kingdom

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 13, 2026