View clinical trials related to Mastication.
Filter by:To attend the increasing demand for gluten-free products, new gluten-free formulations emerged in the market containing alternative ingredients to mimic the protein functionality of wheat. The replacement of wheat, however, has consequences in the sensorial properties of gluten-free products, which can compromise the acceptability of products. This study aims to investigate the oral processing behaviour of gluten-free and gluten-containing breads. Two commercial products, one gluten-free and one gluten-containing bread will be tested either without spread or with butter or mayonnaise. Spreads will be added to the breads to resemble a sandwich consumption which is a more realistic approach than that previously used. The investigators hypothesize that changes in the structure of gluten-free breads resulting from the absence of a strong gluten network can have a prominent impact on the way gluten-free bread is orally processed. The investigators also hypothesize that the addition of spreads will facilitate the oral processing of bread due to an increase in moisture content and lubrication. The number of chews, number of swallows and eating duration will be determined through video recording of 20 subjects. The texture attributes predominantly at the beginning of mastication and at the swallowing point will be accessed using a check-all-that-apply test. Additionally, the amount of saliva incorporated during chewing will be determined from the spat out food bolus.
Purpose of this study is to compare the masticatory efficiency 'All on four' to 'Complete dentures on a class I ridge' with a color mixing analyzing test. Ten Patients with fixed complete dentures on implants and other ten patients with complete denture on a class I ridge (Atwood) had chewed a bicolor chewing gum (Hubba Bubba ®) for different number of cycles(5-10-15-20). The chewed gum is retrieved scanned and weighted to quantify masticatory efficiency
A randomized cross-over design aims to investigate chewing activities between healthy vs. overweight and determine effects chewing times on energy intake and postprandial plasma glucose and insulin. Forty-one participants were allocated into lean and overweight groups according to BMI. Phase I, Bite size (g/bite), bite rate (bites/min), chewing frequency (chews/min), and chews (chews/g food) were recorded after a sandwich breakfast. Phase II, gram of sandwich eaten ad libitum after 15 and 50 chew per bite (number from phase I) were recorded. Postprandial plasma glucose and insulin were examined at 0 (baseline), 30, 60, 90, 120 and 180 min.
The study is aimed to investigate if chewing side preference (CSP) can be used as another indicator of hemispheric laterality in healthy adults. Healthy volunteers with no oral/dental problems with Angle I occlusion relationship and without any missing teeth will be included in the study. The CSP will be determined with the visual analog scale (VAS), which is the highly reliable method. Laterality test will be used to determine the preferred side for hands, feet, ears and eyes.
Soft food chewing does not require strong bite force. The number of chewing strokes and occlusal surface area of the posterior teeth are more important. Clinically, reduction of occlusal surface to protect the abutments of a fixed or removable partial denture or the implant supported teeth is often necessary. If a certain chewing ability is maintained with reduced occlusal area, changing chewing velocity might help. For this hypothesis, the effect of chewing velocity on soft food chewing ability would be observed first. The purpose of this study is to evaluate the deliberately changed chewing gum chewing velocity on the chewing ability of healthy subjects whose dental occlusal surface area is known. Twenty dental students (10 men and 10 women with an age range of 20-30 years) with healthy masticatory systems and complete dentition will be asked to chew HA containing chewing gum with habitual side teeth at the cycle time of 0.5 sec, 1.0 sec and 1.5 sec for 30, 40, and 50 times. Jaw movement, tooth contact, and muscle activities will be observed during chewing gum chewing. The distribution of HA particles in the gum bolus after each chewing session will be measured and regarded as the chewing efficiency of that subject. Occlusal surface area of the maxillary posterior teeth, chewing rate, chewing time, muscle activity and jaw lateral displacement will be related to the chewing efficiency with multiple regression analysis. The effects of practice due to changing of chewing rate will also be evaluated.