In recent years, social pressure has been exerted towards lowering sugar and sweetness levels in foods, with the aim of decreasing the sweetness preference of the general population. However, the resilience/flexibility of sweetness preferences and the impact on energy intake is a fundamental knowledge gap. Recent, relatively long-term studies limited to no more than 3 months did not find a relationship between sweetness exposure and sweetness preferences. Therefore, a longer-term systematic investigation is necessary to objectively evaluate whether sweetness preferences can be altered via varying the sweetness exposure and whether it can affect other outcomes, such as perceived taste intensity, food intake, body weight, body composition, glucose homeostasis and sweet liker type. The study sample will consist of 180 subjects. Enrolled participants will be distributed into three intervention groups; regular dietary sweetness exposure (n=60); low dietary sweetness exposure (n=60); and high dietary sweetness exposure (n =60). The intervention is semi-controlled for a period of six months. Preference and perceived taste intensity of a series of familiar and unfamiliar foods will be assessed at baseline (Day 0), during the intervention (Month 1, Month 3, Month 6) and in the follow-up period (Month 7, Month 10). Furthermore, outcomes such as observed food choice and intake during a test meal, reported food preferences, reported food cravings, sweet-liker type, glucose homeostasis, body weight, body composition and biomarkers related to diabetes and cardiovascular disease will be assessed as well.
Evidence supporting sweetness preference alterations via variations in dietary sweetness exposure is limited. Most studies investigating this focused only on specific sweet elements in the diet, (e.g. beverages; mono- and disaccharides; high-energy dense snacks) instead of sweetness in the diet as a whole. Furthermore, there is no clear evidence about the relation between dietary sweetness exposure and weight gain. Therefore, longer term, sufficiently-powered studies with a 'whole diet' approach are needed to address the question whether sweet preferences can be altered (suppressed or stimulated) by variations in sweetness exposure. It is important to answer this question so that dietary recommendations can be scientifically tailored accordingly. The present study will provide breakthrough evidence about the flexibility/adaptability of sweetness preferences, in terms of effect sizes and direction, duration of effects, and impact on dietary intake, glucose homeostasis and body weight. This information is particularly relevant for product development by food industries in the context of reformulation strategies, and for governments to base their dietary guidelines upon. The primary study objective is to assess the effect of a 6-month low, regular and high dietary sweetness exposure on sweetness preference in a series of familiar and unfamiliar foods. Preference will be assessed in both familiar and unfamiliar foods since, preferences in familiar, commonly eaten foods might by harder to change compared to those for unfamiliar foods, because there is no consumer-expected sweetness level associated with unfamiliar foods. The secondary objective is to assess the effect of a 6-month low, regular and high dietary sweetness exposure on sweetness perception, food choice and intake during a test meal, dietary taste patterns, taste preferences, food cravings, sweet-liker type, glucose homeostasis, biomarkers related to cardiovascular disease (CVD) and diabetes, body weight and body composition. Participants will be matched on age, gender, BMI and sweet liker status and randomly allocated to one of the three intervention arms: (1) regular dietary sweetness exposure (25-30 percent daily energy from sweet foods) (control) (n=60); (2) low dietary sweetness exposure (10-15 percent daily energy from sweet foods) (n=60); and (3) high dietary sweetness exposure (40-45 percent daily energy from sweet foods) (n=60). The intervention is semi-controlled, meaning that 50 percent of the foods will be provided to participants. Foods are offered ad libitum, on a weekly basis and macronutrient composition of the offered foods is similar in energy and macronutrient composition, that is fat, protein, carbohydrates and fibres, but different in sweetness. New methodology of our group enables us to assess sweetness exposure within a diet, by profiling foods based on six taste clusters (neutral; salt, umami \& fat; sweet and fat; sweet and sour; fat; bitter). Preference and perceived taste intensity will be assessed during hedonic and sensory evaluation of eight foods; three sweet familiar, three sweet unfamiliar and two salty familiar ones. Foods are solid, semi-solid and liquid. Furthermore, observed food choice and intake during test meals, reported food preferences, reported food cravings, sweet-liker type, glucose homeostasis, body weight, body composition and biomarkers related to diabetes and cardiovascular disease will be assessed. Outcomes will be assessed several times; at baseline (Month 0), during the intervention Month 1, Month 3, Month 6 and in the follow up period (Month 7, Month 10). Compliance will be assessed with 24-hour urine sample and dietary assessment methods (24-hour recalls).
Study Type
INTERVENTIONAL
Allocation
RANDOMIZED
Purpose
BASIC_SCIENCE
Masking
DOUBLE
Enrollment
180
Varying the exposure to sweetness via diet manipulation.
Department of Human Nutrition, Wageningen University
Wageningen, Netherlands
Change in preference score.
Measured during preference testing, using Ranking on a scale methodology (scale anchored at 0: Dislike extremely; 50: Neither dislike or like; 100: Like extremely) in a series of test foods.
Time frame: from month 0 to month 6.
Change in preference score.
Measured during preference testing, using Ranking on a scale methodology (scale anchored at 0: Dislike extremely; 50: Neither dislike or like; 100: Like extremely) in a series of test foods.
Time frame: from month 0 to month 1, 3, 7 ad 10.
Difference in mean liking scores between familiar and unfamiliar foods.
Measured during preference testing, using Ranking on a scale methodology (scale anchored at 0: Dislike extremely; 50: Neither dislike or like; 100: Like extremely) in a series of test foods.
Time frame: Measured at 0, 1, 3, 6, 7 and 10 months.
Change in sensory intensity scores.
Measured during sensory testing, using 100-unit Visual analogue scale (VAS), (anchored at 0: not sweet/salty at all; 100: Extremely sweet/salty) in a series of test foods.
Time frame: Measured at 0, 1, 3, 6, 7 and 10 months.
Change in energy intake.
Measured during ad-libitum test meal in kcal.
Time frame: Measured at 0, 1, 3, 6, 7 and 10 months.
Change in energy intake.
Measured during ad-libitum test meal in kJ.
Time frame: Measured at 0, 1, 3, 6, 7 and 10 months.
Proportion of eaten sweet foods vs. foods from other taste modalities.
Measured during ad-libitum test meal in proportions.
Time frame: Measured at 0, 1, 3, 6, 7 and 10 months
Sweet-liker status score.
Measured on a 100-unit VAS scale (anchored at 0: Dislike; 100: Like).
Time frame: Measured at 0, 1, 3, 6, 7 and 10 months.
Food craving questionnaire scores.
Measured using the Control of eating questionnaire (CoEQ)
Time frame: Measured at 0, 1, 3, 6, 7 and 10 months.
Taste preference questionnaire scores.
Measured using Taste Preference questionnaire (PrefQuest).
Time frame: Measured at 0, 1, 3, 6, 7 and 10 months.
Dietary taste patterns.
Measured with the Taste food frequency questionnaire in frequency.
Time frame: Measured at 0, 1, 3, 6, 7 and 10 months.
Dietary taste patterns.
Measured with the Taste food frequency questionnaire in % of energy coming from each taste cluster.
Time frame: Measured at 0, 1, 3, 6, 7 and 10 months.
Dietary taste patterns.
Measured with the Taste food frequency questionnaire in % of food weight coming from each taste cluster.
Time frame: Measured at 0, 1, 3, 6, 7 and 10 months.
Body weight.
Measured with a weighing scale in kg.
Time frame: Measured at 0, 1, 2, 3, 4, 5, 6, 7 and 10 months.
Waist-to-hip ratio.
Measured using a stretch-resistant tape.
Time frame: Measured at 0, 1, 3, 6, 7 and 10 months.
% of body fat mass and lean body mass (fat free mass).
Measured with a dual energy x-ray absorptiometry (DEXA).
Time frame: Measured at 0, 6 and 10 months.
Variation in interstitial glucose levels.
Measured with glucose monitoring sensor (only measured in a subgroup, of 60 subjects, 20 per intervention arm).
Time frame: Measured at 0, 6 and 10 months.
Change in fasting glucose, insulin, total cholesterol, low-density lipoprotein (LDL), high-density lipoprotein (HDL), triglycerides levels in blood.
Measured in blood in mmol/L.
Time frame: Measured at 0, 1, 3, 6, 7 and 10 months.
Adverse events.
Self-reported and monitored.
Time frame: Measured at 0, 1, 2, 3, 4, 5, 6, 7, 8, 9 and 10 months.
Concentration of biomarkers in urine related to sugar, low and no calorie sweeteners, protein and salt intake.
Measured in urine in mg/d.
Time frame: Measured at 0, 1, 3, 6, 7 and 10 months.
Intake levels of foods, food groups and macronutrients.
Measured with 24-hour recalls, in kcal/day.
Time frame: Measured at 0, 1, 2, 3, 4, 5, 6, 7 and 10 months.
Intake levels of foods, food groups and macronutrients.
Measured with 24-hour recalls, in kJ/day.
Time frame: Measured at 0, 1, 2, 3, 4, 5, 6, 7 and 10 months.
Intake levels of foods, food groups and macronutrients.
Measured with 24-hour recalls, in g/day.
Time frame: Measured at 0, 1, 2, 3, 4, 5, 6, 7 and 10 months.
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