Department of Nutritional Sciences, Franklin Wilkins Building, Waterloo campus.
Lambeth, London, SE1 9NH, United Kingdom
NCT Number: NCT05994313
An investigation into habitual potato consumption (mashed, boiled, baked) on sleep quality and chronic glycaemic control, established risk factors for cardiometabolic diseases, versus habitual consumptions of non-nutrient-dense starchy staples (white rice, pasta, and couscous).
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Notify Me40 year–80 year
All sexes
Interventional
Not applicable
Lambeth, London, SE1 9NH, United Kingdom
In the last few years, researchers have undergone efforts to conduct well-controlled trials to investigate the cardiometabolic health effect of consuming potatoes as part of a healthy diet. None to our knowledge, however, have investigated the harmful dyad of poor sleep and adverse glycaemic control, 2 interrelated factors which can exacerbate cardiometabolic (CM) health outcomes. The nutrient density of potatoes, namely being the single richest source of potassium per serving, provides a plausible mechanism in which the potatoes may act to improve health markers.
The primary objective of this study is to investigate whether consuming a portion of nutrient-dense potatoes in the evening meal, in place of other refined carbohydrates, can improve sleep quality, and improve nocturnal, and 24-hour, glycaemic control, both risk factors for CM diseases. Secondly, this study aims to investigate the effects of potato consumption on endothelium-dependent vasodilation, which can further interrelate to this web of interactions, and other measures of CM health.
Study design: A randomised, two-parallel arm, in-clinic and remote, 12-week dietary intervention study.
Study population: Healthy male and female 40-80-year-olds, who consume ≤4 fruits and vegetables per day and have sub-optimal sleep quality.
The study aims to recruit a total of 80 participants, allowing for an estimated 15% dropout rate, to reach 80% power at a significance level of 0.025 (based on two outcomes). The allocation ratio is 1:1 intervention to control.
Statistical analysis: Differences between groups (minimized for age, gender, BMI) will be analysed using Linear mixed models for outcomes with 3 timepoints (urinary outcomes, dietary intake data), with change being the dependent factor, subject ID as a random effect, treatment and season as fixed effects, and baseline outcome and BMI as covariates. Variables with 2 timepoints will be assessed with an ANCOVA regression model.
Locations:
Metabolic Research Unit, 4th floor, Franklin Wilkins Building, Waterloo campus, Kings College London, SE1 9NH.
Screening assessment: Participants will be initially assessed for suitability against the inclusion-exclusion criteria via an online questionnaire. The outputs of the questionnaire will be assessed by the study team. Some exclusion criteria will be assessed at the baseline clinic visit before any baseline measures are provided.
Study duration: There will be a 2-week run-in period, followed by a 12-week dietary intervention.
Dietary intervention: The intervention (potato group) will consume at least 230 g of white potatoes (including fresh and frozen baked, boiled, and mashed potato products) in their evening meal, providing ~1000 mg potassium, enough to increase national median intakes up to recommended intakes. The control group will consume isoenergetic amounts of non-nutrient-dense starchy staples (white pasta, white rice, or couscous).
Although participants cannot be blinded to what they're consuming, they will be blinded to whether they are in the control or the intervention group, to reduce the risk of bias.
Participants will be required to source the potatoes and make these meals themselves, however, they will be provided with rotating 4-weekly recipe cards, with instructions on how to prepare meals.
Participants will be required to attend several virtual one-to-ones with the study team, including an introductory call, a virtual run-in induction where they will be run through the study equipment, and 2 in-person clinic visits. Participants will be responsible for applying some study equipment from home, to reduce clinic visits and improve study retention.
Compliance: Compliance will be monitored via several methods. Firstly, 24 h urinary potassium excretion, which is shown to recover 75% of potassium intake, secondly self-reported compliance will be measured through evening meal checklists. We also plan to use dietary recalls at weeks 2, 4, and 8 to reinforce dietary advice, and to make adaptations to rotating menus based on individual needs, if participants are struggling with adherence. Detailed dietary intake will be assessed through 4-day food diaries at weeks 0, 6, and 12- this data will be used for analysis.
Flow-mediated dilation: A Doppler ultrasound will be utilised to capture continuous ultrasound videos to measure flow-mediated dilation. These will be analysed with automated software provided by Maastricht University.
Anthropometry: Weight, height, waist and hip circumference, blood pressure, and body fat will be taken using standard procedures, in duplicates by a trained researcher at baseline and endline clinic visits.
Blood samples: Fasting blood samples will be collected from a superficial antecubital vein via venepuncture before and after the dietary intervention, by a trained researcher.
Participants will be asked to record and monitor the following information:
Self-reported compliance with dietary intervention, weekly weight (data diaries), and habitual dietary intake (4-day diet diaries).
Healthy volunteers accepted: Yes
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
Potatoes are to be consumed in the evening meal, every evening for 12-weeks.
White rice, white pasta or white couscous are to be consumed in the evening meal, every evening for 12-weeks.
Time frame: Pre- and post-intervention: 12 weeks
Differences in % sleep efficiency at endline vs baseline. Sleep efficiency % is described as the total time spent asleep/ total time spent in bed x 100.
Time frame: Pre- and post-intervention: 12 weeks
Differences in mean nocturnal glucose, measured using a Freestyle Libre 3 continuous glucose monitor.
Time frame: Pre- and post-intervention: 12 weeks
Difference in 12-day mean nocturnal Area Under the Curve (AUC).
Time frame: Pre- and post-intervention: 12 weeks
Difference in 12-day nocturnal Time In Range for non-diabetic populations (TIR nd).
Time frame: Pre- and post-intervention: 12 weeks
Difference in 12-day nocturnal coefficient of variation (CV%)
Time frame: Pre- and post-intervention: 12 weeks
Difference in 12-day nocturnal Mean Amplitude of Glycemic Excursions (MAGE).
Time frame: Pre- and post-intervention: 12 weeks
Difference in 12-day nocturnal Mean of Daily Differences (MODD).
Time frame: Pre- and post-intervention: 12 weeks
Differences in 12-day mean daytime glucose.
Time frame: Pre- and post-intervention: 12 weeks
Difference in 12-day daytime Time In Range for non-diabetic populations (TIR nd).
Time frame: Pre- and post-intervention: 12 weeks
Difference in 12-day daytime coefficient of variation (CV%)
Time frame: Pre- and post-intervention: 12 weeks
Difference in 12-day daytime Mean Amplitude of Glycemic Excursions (MAGE).
Time frame: Pre- and post-intervention: 12 weeks
Difference in 12-day daytime Mean of Daily Differences (MODD).
Time frame: Pre- and post-intervention: 12 weeks
Differences in 12-day mean 24-hour glucose.
Time frame: Pre- and post-intervention: 12 weeks
Difference in 12-day 24-hour Time In Range for non-diabetic populations (TIR nd).
Time frame: Pre- and post-intervention: 12 weeks
Difference in 12-day 24-hour coefficient of variation (CV%)
Time frame: Pre- and post-intervention: 12 weeks
Difference in 12-day 24-hour Mean Amplitude of Glycemic Excursions (MAGE).
Time frame: Pre- and post-intervention: 12 weeks
Difference in 12-day 24-hour Mean of Daily Differences (MODD).
Time frame: Pre- and post-intervention: 12 weeks
A combination of time domain, frequency domain and non-linear methods (NN intervals, heart rate, rMSSD, pNN50, SDNN, TINN, SDANN, SD1/SD2, High Frequency, Low Frequency, Very Low Frequency, Ultra Low Frequency HF:LF, total power), will be compared from pre- to post-mental stress.
Time frame: Pre- and post-intervention: 12 weeks
A combination of time domain, frequency domain and non-linear methods (NN intervals, heart rate, rMSSD, pNN50, SDNN, TINN, SDANN, SD1/SD2, High Frequency, Low Frequency, Very Low Frequency, Ultra Low Frequency HF:LF, total power).
Time frame: Pre- and post-intervention: 12 weeks
Mean differences in flow-mediated dilation (%)
Time frame: Whole 12 week period.
Measured with an Aktiia Photoplethysmography watch.
Time frame: Whole 12 week period.
Measured with an Aktiia Photoplethysmography watch.
Time frame: Pre- and post-intervention: 12 weeks
Diastolic and systolic blood pressure, measured by oscillometry.
Time frame: Pre- and post-intervention: 12 weeks
Including: total lipids, HDL and LDL-cholesterol, and Triacylglycerols.
Time frame: Pre- and post-intervention: 12 weeks
Fasting plasma glucose concentration
Time frame: Pre- and post-intervention: 12 weeks
Fasting insulin concentration
Time frame: Pre- and post-intervention: 12 weeks
Fasting HbA1C concentration
Time frame: Pre- and post-intervention: 12 weeks
Serum potassium mmol/L
Time frame: Pre- and post-intervention: 12 weeks
Sleep duration (minutes)
Time frame: Pre- and post-intervention: 12 weeks
Sleep duration (%)
Time frame: Pre- and post-intervention: 12 weeks
Sleep latency is defined as the time it takes to fall asleep from the time intended to fall asleep.
Time frame: Pre- and post-intervention: 12 weeks
Body fat % measured using TANITA bioelectrical impedance scales
Time frame: Pre- and post-intervention: 12 weeks
Waist circumference (cm)
Time frame: Pre- and post-intervention: 12 weeks
BMI kg/m2, measured using a stadiometer and TANITA scales
Time frame: Pre- and post-intervention: 12 weeks
Calystegine will be analysed as an exploratory biomarker of potato consumption (a polyhydroxylated nortropane alkaloid), by Triple Quadrupole mass spectrometry (MS/MS).
King's College London
Other
Acronym: STARCHy
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