Abstract
A large number of methodological procedures and experimental conditions are reported to describe the masticatory process. However, similar terms are sometimes employed to describe different methodologies. Standardisation of terms is essential to allow comparisons among different studies. This article was aimed to provide a consensus concerning the terms, definitions and technical methods generally reported when evaluating masticatory function objectively and subjectively. The consensus is based on the results from discussions and consultations among world‐leading researchers in the related research areas. Advantages, limitations and relevance of each method are also discussed. The present consensus provides a revised framework of standardised terms to improve the consistent use of masticatory terminology and facilitate further investigations on masticatory function analysis. In addition, this article also outlines various methods used to evaluate the masticatory process and their advantages and disadvantages in order to help researchers to design their experiments.
Keywords: chewing, consensus, eating capability, food oral processing, mastication, terminology
1. BACKGROUND
For more than a century, the masticatory process has been thoroughly investigated, leading to a large number of reports in the literature, dating back to 1901. 1 Several aspects of the masticatory function have been reported, such as masticatory physiology in dentate individuals, 2 , 3 food oral processing, 4 , 5 , 6 , 7 masticatory impairments after tooth loss 8 , 9 and improved masticatory function after different types of oral rehabilitation 10 , 11 , 12 , 13 or neurological disorders. 14 , 15 Several reviews on masticatory function have been published. 5 , 6 , 16 , 17 , 18 , 19 , 20 , 21 A good masticatory function is not only important for adequately fragmenting food in order to facilitate safe swallowing without choking, but it is also essential as masticatory impairments may have a negative effect on both digestion and nutrition. 22 , 23 , 24 , 25 Furthermore, mastication has a positive influence on brain function and cognition 26 , 27 , 28 , 29 and is an important factor in dental Patient Reported Outcomes (dPROs) like the dimensions ‘Oral Function’ or ‘Psychosocial Impact’ as well as Patient Satisfaction. 30 , 31
As listed above, literature shows a wide variation in methods and terminology. According to the Glossary of Prosthodontic Terms, ‘masticatory performance’ is defined as ‘a measure of the comminution of food attainable under standardised testing conditions’, while ‘masticatory efficiency’ is defined as ‘the effort required to achieve a standard degree of comminution of food’. 32 That definition of masticatory performance is ambiguous since it comprises masticatory efficiency as well. In accordance with Bates et al (1976), 16 that is (a) chewing performance, indeed refers to a state of chewing outcome following a particular number of chewing cycles, whereas (b) chewing efficiency denotes the number of chewing cycles needed to attain a particular chewing outcome. In other words, masticatory performance refers to the individual's ability to grind or pulverise a specimen of test food after a pre‐determined number of mastication cycles, while masticatory efficiency refers to the number of chewing cycles necessary to attain half the original particle size. 16 , 33 , 34 However, there is a lack of consensus among researchers on the exact semantics of each term and similar terms are sometimes employed to describe different methodologies. 17 , 35 This may lead to comparisons among different test methods and therefore jeopardise scientific evidence on physiological or therapeutic protocols. For example, the term masticatory efficiency has been used interchangeably with the term masticatory performance, 36 although they represent different tests of the masticatory function designed to produce distinct outcomes.
The aim of this consensus paper was to define the most commonly used terms and techniques related to evaluating masticatory function. Use of a common terminology will facilitate less ambiguous communication between researchers, clinicians and their patients. It will also enable better documentation and interpretation of research findings and clinical observations.
2. MATERIAL AND METHODS
The development of this document involved numerous experts in the masticatory function analysis. In the initial phase of the project, the team leaders (TMSVG and MS) selected a group of experts to discuss possible strategies to reach a consensus on terminology standards in masticatory function. A draft document containing the key terms was prepared and deliberated through email communications among authors. This first draft containing the definitions, advantages, limitations and clinical relevance was followed by an open discussion among participants. After a critical appraisal and individual feedback of each author, the reviews were collected and combined into one document, which was then shared among the authors. Once all the authors reached a final consensus, the revised manuscript was recirculated to the project participants for final comments and sign‐off for submission.
3. MASTICATORY FUNCTION ASSESSMENT
The outcome of mastication can be evaluated with two different approaches, the food bolus being collected either after a pre‐determined number of chewing strokes, or at the swallowing threshold, that is when the bolus is sufficiently cohesive and plastic to trigger swallowing. The research goals of these two approaches are different. When a subject is asked to chew and expectorate the food bolus after a fixed number of chewing strokes, the result reflects how well that subject performed in fragmenting or mixing the test food or other non‐nutritive test material (natural or synthetic). This parameter has been commonly referred to as masticatory performance or chewing performance. 16 , 37 In some studies, this procedure is called chewing test or C‐test. 20 In the second approach, chewing until the subject is ready to swallow the food, other aspects of chewing are revealed. 38 , 39 In some studies, this approach is called mastication test or M‐test. 20 The moment of swallowing depends on two major factors: the food textural and physical properties (ie hardness, stickiness, cohesiveness, moisture content, portion size) and oral as well as general physiological characteristics of an individual (ie dentition, biting/chewing force, tongue motility, salivary flow rate, age, neurological status, pain, intra‐oral sensitivity). 19 , 38 , 39 , 40 , 41 , 42 , 43 , 44 , 45 It has been reported that persons having high masticatory performance (‘good chewers’) do not necessarily swallow their food after fewer strokes than persons having low masticatory performance (‘bad chewers’), although the more effective fragmentation capacity enables fewer chewing cycles needed to reduce food size for swallowing. 46 Inversely, ‘bad chewers’ not necessarily swallow food long before ‘good chewers’ as they may swallow badly prepared food boluses. They may also refuse to swallow some types of food. 47
Masticatory function can be determined by many different methods. Each method yields different parameters which characterise the masticatory process. In this section, we give definitions, advantages, limitations and clinical relevance of the various methods and parameters (Figure 1):
FIGURE 1.

Summary of the masticatory function terms proposed
4. OBJECTIVE ASSESSMENT (DIRECT ANALYSIS)
4.1. Comminution tests
A comminution test is performed on a brittle food such as nuts and raw carrots. Chewing will fragment the food, resulting in a collection of broken food particles constituting the food bolus. The food particles can be analysed by sieving or optical scanning. The chewed food bolus is then characterised by a distribution of particle sizes, usually expressed in the median particle size. If the food is chewed for a fixed number of chewing cycles, the result is defined as masticatory performance (or chewing performance). 16 , 37
4.1.1. Masticatory performance with multiple sieves or optical scanning
The distribution of particle sizes reflects the masticatory performance (or chewing performance). Participants receive a portion of breakable artificial material (eg impression materials like Optosil/Optocal or hydrocolloid) 48 or natural food (eg peanuts, almonds, carrots), which is chewed for a fixed number of chewing cycles, visually monitored by the examiner. The participant is then asked to expectorate the food bolus. After drying, the particles are sieved for 20 minutes through a stack of sieves with meshes generally ranging from 5.6 mm to 0.5 mm and a bottom plate. 49 The distribution of bolus particle sizes by weight as obtained from the sieves can be described by a cumulative distribution function, the so‐called Rosin‐Rammler function. 50 The function is characterised by the median particle size (X50 or D50) and the broadness of the distribution (b). The median particle size X50 is the aperture of a theoretical sieve through which 50% of the weight of the fragmented material could pass. 18 , 37 , 51 The comminuted particles of the chewed food after a fixed number of chewing cycles can also be analysed by optical scanning. 49 , 52 The results obtained with optical scanning can be converted to a discrete particle size distribution, which again can be described by a cumulative distribution function. 52
4.1.2. Masticatory performance with single sieve
The degree of fragmentation of the chewed food or artificial test material is quantified by the percentage of the particles by weight that could pass through a sieve with a specific aperture after the food was chewed a fixed number of chewing cycles. This method is simpler and requires no further statistical analysis. However, the single sieve method is less reliable than the multiple sieve method especially if the sieve aperture is not close enough to the median particle size of the distribution of the chewed food. 53 In summary, the use of more than one sieve will give more detailed information on the distribution of particle sizes of the chewed food as stated previously. 19
4.1.3. Masticatory efficiency with multiple sieves
Masticatory efficiency (or chewing efficiency) is defined as the number of chewing cycles needed to achieve a particular chewing outcome characterised by a median particle size (X50 or D50) that equals half of the particle size before chewing. 16 , 33 , 34 Chewing efficiency can be calculated from a power function that describes the decrease of the median particle size as a function of the number of chewing cycles. 33 , 54 To perform such a calculation, the median particle size should be determined in multiple experiments, each experiment having a different number of chewing cycles. Thus, the masticatory efficiency test is a more elaborate version of the masticatory performance test with multiple sieves: it is based on several determinations of masticatory performance. Each determination after a different number of fixed chewing cycles.
Comminution tests: Advantages
The human masticatory apparatus is evolutionary developed to enable chewing brittle solid foods like nuts and carrots and tough foods like meat. An ability to chew a brittle solid test food will be concomitant with an ability to chew a broad spectrum of similarly hard or weaker types of foods. Shortly spoken, if one is able to chew fairly hard and tough foods, one is able to chew everything. If such a test is not feasible anymore for particular patient groups, then other tests are available with easier masticatory tasks, also allowing a differentiation of masticatory function in such patients. Furthermore, a solid test food includes all aspects of food comminution during chewing, that is transport, capturing and breakage of particles during each cycle, while mixing the food bolus with saliva. Comminution tests have been successfully used in numerous studies to quantify masticatory function. These tests enable the determination of both chewing performance as well as chewing efficiency. Furthermore, comminution tests can be used to determine parameters of chewed food just before swallowing as well. Comminution tests are a reliable way to quantify how well a person or a group is able to chew (Figure 2). For the masticatory efficiency, more detailed information of the chewing process is obtained as several tests after different numbers of chewing cycles are performed, offering a comparison of inter‐subject at the same stage of food comminution and constant intra‐subject and inter‐subject ratios between and within samples, respectively. 54 Comminution tests are sensitive to changes in the oro‐facial system, since it is significantly related to maximum voluntary bite force as well as dental state. 9
FIGURE 2.

Masticatory performance analysed by a comminution test, using Optocal as test material and 20 masticatory cycles. A. Example of a good chewer; B. Example of a medium chewer; C. Example of a bad chewer; D. Cubes before chewing
Comminution tests: Limitations
The limitations inherent to comminution tests refer to the selection of the appropriate test food/material for each type of population investigated (which also occurs with other tests described below). Care must be taken since the use of more rigid test materials such as Optosil may not be suitable for children and/or edentulous patients or patients with neuromuscular disorders. These individuals will not be able to adequately fragment the test food because their maximum bite force is lower than the force needed to break the test food particles and, therefore, differences within individuals will not be detected. The same occurs for very soft test foods for patients with excellent fragmentation capacity, since all the individuals evaluated will be able to fragment the food very well and subtle differences may go unnoticed. Furthermore, chewing brittle food may constitute an aspiration risk in dysphagic individuals such as stroke victims, very old institutionalised seniors or amyotrophic lateral sclerosis patients.
Comminution tests: Relevance
The comminution methods provide reliable parameters to quantify, for instance, the influence of dental treatment on chewing by measuring the performance before and after treatment in a group of patients. 55 , 56 , 57 , 58 These methods also facilitate the comparisons within and between subjects or groups of subjects or before/after rehabilitation, for example (Figure 2).
4.2. Mixing ability tests
A non‐nutritive plastic test material is masticated for a given number of chewing strokes, and then retrieved from the oral cavity for analysis. The form and colour of the bolus might be evaluated. Subsequently, excess saliva is removed from the bolus, which is then placed in a transparent plastic bag and flattened to a wafer of typically 1mm thickness. 14 , 38 , 59 Then, a digital image from both sides of the wafer is obtained under standardised lightning conditions. 60 Therefore, the scanning of the wafer on a flatbed scanner lends itself to obtain standardised image capturing conditions (Figures 3 and 4). For the evaluation of dysphagic persons for whom the comminution tests might constitute a health hazard or for individuals with assumed severely impaired chewing function, alternative tests with cohesive test foods like chewing gum or wax have been developed. 14 , 59
FIGURE 3.

The Subjective Assessment (SA) scale for categorial evaluation of masticatory performance with a two‐coloured chewing gum (Hue‐Check Gum©). 60 , 61 SA 1: chewing gum not mixed, impressions of cusps or folded once, SA 2: large parts of chewing gum unmixed, SA 3: bolus slightly mixed, but bits of unmixed original colour, SA 4: bolus well mixed, but colour not uniform, SA 5: bolus perfectly mixed with uniform colour. Categories SA1 and SA2 would signify a severely reduced chewing function
FIGURE 4.

Masticatory performance determined from the mixing of the colours of the two‐coloured wax. Examples of digitised images of both sides of chewed and flattened two‐colour wax. 1: very badly mixed, 2: badly mixed, 3: intermediately mixed, 4: well mixed, 5: very well mixed
4.2.1. Masticatory performance with two‐coloured chewing gum or wax
For this test, pieces of two‐coloured wax or chewing gum (typically of blueish and reddish colour) are masticated for a given number of chewing strokes (most commonly n = 20). 59 , 60 , 61 , 62 , 63 It was demonstrated that at 20 chewing strokes the tests show the best discriminatory characteristics between subjects or different oral conditions (Figures 3 and 4). 63 The bi‐coloured specimens characterise the effect of the oro‐facial system on the bolus kneading with a quasi‐logarithmic decay pattern of the colours, depending on the characteristics of the specimens and the efficiency of the oro‐facial system to knead and form the gum bolus. A 5‐graded scale for a nominal assessment of colour mixture and bolus form has been proposed. 64 Similar scales are still used, but often in combination with an opto‐electronic assessment of two‐coloured chewing. 61 , 63 There are many methods described that may be employed to assess the colour mixture among them the most commonly applied: Variance of Hue (VOH), 63 intensity distribution of light, 65 or spatial heterogeneity. 66 , 67 The assessment of chewing performance with a mixing ability test correlates significantly with comminution tests at 20 chewing cycles. 59 , 68
4.2.2. Masticatory performance with colour‐changing chewing gum
This method was mainly described by Japanese Researchers for the evaluation of masticatory performance (Evaluating Gum XYLITOL; Lotte Co., Ltd). The gum is chewed between 20 to 200 times and changes its colour from yellowish‐green to red, depending on the individual masticatory performance. 69 The masticatory performance is measured by the colorimeter method using the L*a*b colour space model (CR‐13; Konica Minolta Sensing, Tokyo, Japan). 70 However, a visual analysis based on a validated and reliable colour scale is also available. 69
Mixing ability tests: Advantages
The mixing ability tests are very quick and cheap to perform. Hence, they demand very little time and effort in the scope of large test batteries or in cases of tested individuals with little resilience like patients with dementia. 15 , 71 Dysphagic patients like stroke or Amyotrophic Lateral Sclerosis patients may undergo this procedure without the risk of aspiration of particles. 14 It has been recommended as the preferred method to assess masticatory function in subjects with pronouncedly impaired masticatory performance like complete denture wearers. 59 , 72 The nominal assessment scales allow for chair‐side and evaluation of the masticatory function, even for evaluators with little experience like wards in geriatric hospitals, 15 and is suitable for research with children due to the pleasant taste. The various opto‐electronic assessment tools are often applied in research; however, the methods mostly need only a flatbed scanner and a computer for evaluation. First attempts for evaluation of the colour mixture with a smartphone application have been successful and will surely allow for further technical simplification in the near future. 63 , 73
Mixing ability tests: Limitations
Like any other test food, each type of gum or wax needs to be validated to understand the specific colour‐mixing characteristics. They may depend on the colours, the rheological characteristics, and hardness. 60 , 63 Furthermore, the multitude of opto‐electronic assessment tools make a comparison of results difficult between studies. Also, the material characteristics of chewing gum are very complex, as it changes hardness during the masticatory process, and this might further complicate standardisation of test food. There is little information if the colour of the chewed specimens’ changes after being exposed to saliva; hence, it is recommended to capture a digital image of the bolus or flattened wafer immediately after the clinical test. With the continuous improvement of integrated smartphone cameras this challenge might soon be resolved. Another limitation of this test is that chewing gums become soft and therefore easy to chew. In this sense, for individuals with good chewing capacity, the task of mixing colours is easily accomplished. Saturation of the mixture of colours occurs, making refinement between individuals with subtle differences in masticatory capacity inaccurate. 19
As the mixing ability tests then depend less on the maximum available bite force (like in the case of granulometry) and rather evaluate the ability to form and knead a bolus, they might be less suitable for research questions that indirectly assess the increase or decrease of bite force. 74
Mixing ability tests: Clinical relevance
There are numerous applications in which the mixing ability tests are successfully used. Firstly, in the quick and simple assessment of masticatory deficiencies in dental offices, hospitals or geriatric wards as part of a functional assessment of a person. Secondly, assessing masticatory performance with mixing ability tests may be used in large epidemiological studies with extensive test batteries as they only require very little time to perform on the patient and may be evaluated later after image capture. Thirdly, the use in the scope of clinical studies in settings where the granulometry tests cannot be conducted due to a lack of facilities and/or know‐how.
4.3. Other chewing tests
4.3.1. Masticatory performance with gummy jelly
Gummy jelly is chewed for a pre‐determined number of cycles. The concentration of glucose or ß‐carotene dissolved in saliva is determined. 75 , 76 , 77 , 78 In addition, a new method was proposed based on the analysis of photographic image of the comminuted gummy jelly particles and the posterior calculous of the surface area (Figure 5). 79 , 80
FIGURE 5.

Masticatory performance measured using gummy jellies. Visual score from 0 (not chewed) to 9 (high performance) determined using 50 mg/dL gradations of glucose concentrations from a piece of gummy jelly. 80
4.3.2. Masticatory performance with encapsulate granules
These methods are based on the difference in dye concentration of fuchsine, 81 , 82 erythrosine 83 , 84 or adenosine triphosphate (ATP) among subjects after a mastication test. This method requires a spectrophotometer for this quantification. Pigment‐coated granules are prepared and sealed in a rubber or polymerising vinyl chloride (PVC) capsule (Figure 6). For fuchsine method, about 250 mg of fuchsine beads is used, while for erythrosine methods 730 mg of granules is required. 83 , 84 ATP methodology applies 5 g of granules. The individual is instructed to freely masticate a single capsule containing the pigment‐coated granules for a given number of cycles (Figure 6). Afterwards, the capsule is opened and its content is dissolved in water with constant stirring. 81 The produced solution is filtered and the dye concentration is determined using a spectrophotometer. 84 Each pigment must be analysed in a specific wave length (fuchsine at 546 nm, 81 erythrosine at 565nm 83 , 84 ATP at 259 nm).
FIGURE 6.

Masticatory performance analysed with encapsulate granules. A. Capsule appearance before chewing; B. Capsule appearance after chewing
Other chewing tests: Advantages
These methods are easy to apply and measure a considerable number of subjects within a reasonable time period, with good reproducibility. 82 , 83 In regard to the spectrophotometer methods, the granules have stable physical properties and remain moisture‐proof within the rubber capsule. 83 From the gummy jelly methods, it also represents a simple and non‐expensive method that obtains objective numerical values in a short time, using a relatively stable test material. 75 , 83 A portable equipment of analysis (Glucosensor GS‐II and the sensor tip, GC Japan) and a standard gummy jelly (glucose‐containing gummy jelly by GC Japan; beta‐carotene jelly by UHA Mikakuto Co., Ltd.) were also commercially available. The comminuted gummy jelly employing images evaluation has a close correlation with the fully automated method and can be a useful technique because of its accessibility under different conditions. 79
Other chewing tests: Limitations
The rubber capsule is not representative of various foods sizes, shapes and stiffnesses; hence, only one aspect of mastication can be evaluated 83 (since chewing an artificial single piece, which itself does not become crushed into particles, assumable does not feel natural, which reduces the validity and reliability of these methods in comparison to the comminution method, for instance). 82 , 84 Moreover, the use of capsules may include a type II error (failing to detect an effect that is present), 82 which may explain the results of previous studies that found no differences after the conversion of a conventional complete denture into implant‐retained overdentures, 85 or to detect any significant increase in the chewing performance after renewal of complete dentures. 86 In regard to the gummy jelly methods, the collection and rinsing of comminuted gummy jelly, as well as the dissolution of the ingredients manually, needs proficiency of operating personnel and may thus affect measurement accuracy. However, a previous study had already established the appropriate set‐up conditions of the rinsing and dissolving operations for measuring masticatory function using a fully automatic measuring device. 75
Other chewing tests: Clinical relevance
These methods are easy to apply in epidemiological studies, especially the rubber capsules, which are easy to chew by individuals with different dental conditions. Correlation between the mixing ability determined by colour changeable chewing gum and shearing ability determined by the gummy jelly was recently reported for community‐dwelling Japanese older adults. 87 However, due to the low specificity of the capsules, additional masticatory analysis might be required. In the gummy jelly analysis, it is possible to use the smartphone camera for evaluating the surface area of the gummy jelly, making this technique more versatile and accessible. 79
4.4. Swallowing threshold
The swallowing threshold is the moment that a person is ready to swallow the food. The condition of the food bolus at swallowing threshold is the cumulative result of bolus formation in all previous cycles. 88 , 89 Important swallowing threshold parameters can be obtained from comminution tests with natural foods (eg peanuts, almonds, carrots) or artificial (eg Optosil, Optocal) materials:
4.4.1. Swallowing threshold number of cycles
The number of chewing cycles until the moment of swallowing.
4.4.2. Swallowing threshold particle size
The median particle size of the food bolus just before swallowing.
4.4.3. Textural properties of the chewed food bolus
Hardness, stickiness, cohesiveness, fibrous orientation, moisture content, particle adhesion, sufficient deformability of the bolus, sufficient internal consistency of particle content.
Swallowing threshold: Advantages
Swallowing is initiated when it is sensed that a batch of food particles is bound together under viscous forces so that it forms a bolus. 18 , 38 The moment of swallowing is triggered by characteristics of the food bolus, such as particle size, content of saliva incorporation, bolus viscosity, bolus cohesiveness and bolus flowability. 4 , 18 , 40 , 41 , 43 Comminution tests at the swallowing threshold measure other aspects of chewing than masticatory performance tests (fixed number of chewing cycles). 43 The number of chewing cycles needed to prepare food for swallowing was rather constant within a subject for one type of food, 89 whereas large variations in the number of chewing cycles until swallowing were observed among subjects for one type of food. 46 , 89 Although the number of chewing cycles needed to prepare food for swallowing largely varied among healthy dentate people, this number was shown to be only weakly correlated with the chewing performance. 90 Thus, a subject with a high masticatory performance does not necessarily swallow food after a smaller number of chewing strokes than a subject with a less high masticatory performance. It was reported that the upper limit of the median particle size of carrot particles swallowed by a group of young persons with good oral health was 4.0 mm. 47 Declining masticatory function because of compromised dentition is responsible for swallowing poorly chewed food 46 , 47 and for chewing longer before swallowing. 90 , 91 Analysis of the food bolus at the swallowing threshold provides information of the textural properties of the food bolus. 40 This knowledge can be useful in understanding the relationship between mastication and sensory perception 5 , 92 or between mastication, digestion and nutrition. 93 , 94
Swallowing threshold: Limitations
Food characteristics have a large influence on both the number of chewing cycles and the food bolus characteristics at the swallowing threshold. Dry and hard food products require more chewing cycles before swallowing than moist and soft products. 5 , 95 , 96 More time is needed to break the food down and to add enough saliva to form a cohesive food bolus suitable for swallowing. Also, the volume of the food largely influences oral physiology. For larger portion sizes, subjects needed more time and chewing strokes before they swallowed the food. 46 Therefore, comparison of the parameters at the swallowing threshold of different groups of subjects can only be performed when using exactly the same consistency and volume of the test food.
Swallowing threshold: clinical relevance
Swallowing threshold tests determine the particle size distribution and textural properties of the chewed food bolus and the number of cycles needed to swallow. In this way, information is obtained on how persons normally swallow their food. This is especially important for patients with functional dyspepsia or the elderly, with compromised dentition since deficient comminution could produce a reduction of the gastric emptying rate, antral or fundal hypomobility, lack of antro‐pyloric‐duodenal co‐ordination and inhibition of intestinal feedback. 97
5. OBJECTIVE ASSESSMENT (INDIRECT ANALYSIS)
5.1. Jaw kinematics, jaw muscle activity, bite force, tongue and lip function and saliva
Jaw movement and the neuromuscular control of the jaw muscles are important aspects of the food comminution. The basic rhythmic activity of the jaw‐opening and jaw‐closing muscles is known to be generated by a central pattern generator located in the brainstem. 98 Adjustments of motor output in response to changes in food resistance are mediated by feedback from sensory receptors, such as mechanoreceptors in the periodontal ligament and muscle spindles in the jaw‐closing muscles. 99 , 100 Factors influencing the masticatory process are dentition, jaw muscle activity, bite force, tongue function and lip force. 19 Furthermore, the production of sufficient saliva is indispensable for good chewing. The water in saliva moistens the food particles, whereas the salivary mucins bind masticated food into a coherent and slippery bolus that can be easily swallowed. 101
5.1.1. Jaw kinematics
Jaw movement can be recorded during chewing with a magnetic, an electromagnetic or an optical motion analysis system (eg Mandibular Kinesiograph (K7/SMS and JT3D, Articulograph, Optotrak)). 4 , 102 , 103 Jaw velocity and jaw acceleration as well as the chewing frequency (the number of chewing cycles per minute) can be determined from the jaw gape signal. Jaw kinematics can also be analysed from video recording a chewing sequence. 104
5.1.2. Jaw muscle activity and bite force
Jaw muscle activity is commonly recorded from the masseter and anterior temporal muscles using bipolar surface electrodes. 4 , 102 Muscle activity can be obtained under dynamic conditions (chewing) or under static conditions (maximum voluntary clenching). From chewing experiments, muscle activity and muscle work can be determined for each chewing cycle. 4 , 103 Furthermore, the chewing frequency can be determined from the muscle activity bursts occurring during jaw closing. Maximum voluntary bite force is measured while participants clench as hard as possible on a bite force transducer placed between the molar teeth. 105
5.1.3. Tongue and lip function
Maximum tongue pressure is measured with a tongue pressure measuring device while subjects raised the tongue with maximal voluntary effort. 106 Maximum tongue force can be obtained with a strain gauge mounted on a mouthpiece. 107 Lip function can be determined from the so‐called lip‐length and snout indices 108 or from maximum lip force measurements. 106 , 109
5.1.4. Amount and composition of saliva
Mechanically stimulated salivary flow rate can be determined in a standardized way from chewing on a piece of tasteless Parafilm. Over a period of 5 min, a subject expectorates saliva at 30‐s intervals into a pre‐weighed container, and flow rate (mL/min) is then calculated. Flow rates of mechanically stimulated saliva between 0.52 and 4.55 mL/min have been reported for healthy subjects. 110 Lately, an electronic tool to evaluate oral moisture (Mucus, Life Co., Ltd.) was introduced and is applied in the context of the diagnosis of oral hypofunction. 111 The threshold for oral dryness was defined as a value of less than 27 as obtained with an oral moisture checker. 112
Jaw kinematics, jaw muscle activity, bite force, tongue and lip function, and saliva: Advantages
Food properties such as structure, composition, appearance, volume, size and shape influence the masticatory process. 4 , 102 , 103 , 113 , 114 Food properties had a small effect on the average chewing frequency during a chewing sequence. 103 However, large significant differences in this parameter were observed between foods of different hardness at the beginning of a chewing sequence. In that phase, firm foods were chewed much slower than soft foods. A study on model foods showed that products with mainly plastic behaviour were chewed slower than elastic products. 113 Muscular work was significantly influenced by both chewing phase and food type. 4 , 103 Studies on jaw kinematics and jaw muscle activity provide detailed information on the neuromuscular control of chewing. 100 , 115 The important role of saliva for chewing and swallowing was demonstrated by the finding that the number of chewing strokes, hence time in the mouth, needed for swallowing significantly increased after experimentally induced oral dryness. 64 Amount and composition of saliva play an important role in oral processing and perception of the food. 92
Jaw kinematics, jaw muscle activity, bite force, tongue and lip function, and saliva: Limitations
Studies on jaw kinematics and jaw muscle activity can only be performed in the laboratory. There is no ‘gold standard value’ of jaw kinematics. Chewing frequency depends on the mastication centre in the brain stem, which is specific to each subject. Therefore, chewing frequency cannot be used for inter‐subject comparisons.
Jaw kinematics, jaw muscle activity, bite force, tongue and lip function, and saliva: Clinical relevance
It was demonstrated that a lack of change in mean chewing frequency values could be used as a criterion for good masticatory neuromotor control, and alternatively, large variation in mean chewing frequency values could be indicative of an impaired masticatory function. 104 , 116
6. SUBJECTIVE ASSESSMENT
6.1. Self‐ or proxy‐assessed masticatory function (chewing ability)
Perceived or self‐assessed masticatory function, evaluating the quality of masticatory function, 117 , 118 , 119 screening of masticatory disorders 120 or analysing the food intake ability. 121 Most instruments enable the patient to judge comfort discomfort when chewing. 17 , 122
Self‐ or proxy‐assessed masticatory function has been called masticatory ability in numerous studies. Masticatory ability is assessed from interviewing persons and filling out questionnaires on oral function. It can be quantified based on dichotomic answers (yes/no), 5‐point Likert scale (ranging from a score of 0 (very easy to chew) to a score of 5 (very difficult and avoided), categorical answers (‘never’, ‘sometimes’, ‘often’, ‘always’ or ‘somewhat difficult’, ‘moderately difficult’, very difficult’, ‘extremely difficult’) or Visual Analogue Scale (VAS) (with extremities varying from ‘not at all difficult’ to ‘impossible to chew’). In the literature, different validated instruments are available, such as:
6.1.1. Quality of masticatory function (QMFQ)
This self‐applied questionnaire consists of 26 questions specifically related to the frequency and/or difficult on chewing different types of food during the two weeks before the evaluation. 117 , 118
6.1.2. Chewing function questionnaire (CFQ)
The CFQ is a one‐dimensional instrument to measure the impacts of masticatory function in prosthodontic patients. The CFQ contains 10 items, which evaluate whether you have difficulty chewing different types of food, difficulty in biting different foods, if you feel insecure during chewing, if food sticks or catches on the teeth or dentures. 119
6.1.3. Screening for masticatory disorders in older adults (SMDOA)
The SMDOA is a 9‐question questionnaire designed to detect masticatory changes in community older adults. This epidemiological screening is capable of determining the initial diagnosis of masticatory disorder to be referred for diagnostic confirmation. 120
6.1.4. Food intake ability (FIA)
Subjects rate their chewing difficulty with foods of various textures and hardnesses. The questionnaire consists of 35 food items that are classified into five grades (seven items for each grade) based on the hardness, evaluating possible masticatory difficulties presented by the patients. 123
6.1.5. International classification of functioning, disability and health (ICF) for oral functions
This instrument is the most comprehensive model for describing human functioning in relation to health and the environment. It was adopted by the World Health Organization in 2001 and is translated in different languages. The ICF model describes human functioning in terms of Body structure, Body function, Activities and Participation. The basic premise of the ICF is that it is Universal, that is applicable to all people irrespective of health condition or cultural context. ICF could be used for self‐ and/or proxy‐assessments (careers, professionals, family members). 124 , 125 Among items of oral functions, the following terms are defined as: Biting function (b5101): Functions of cutting into piercing or tearing off food with the front teeth; Chewing function (b5102): Functions of crushing, grinding and masticating food with the back teeth (eg molars); and Manipulation of food in the mouth (b5103): Functions of moving food around the mouth with the teeth and tongue. The extent of impairment is categorized with the following qualifiers as: 0 No impairment (category 0): means the person has no problem; Mild impairment (category 1): means a problem that is present less than 25% of the time, with an intensity which is tolerable and which happens rarely over the last 30 days; Moderate impairment (category 2): means that a problem is present less than 50% of the time, with an intensity which interferes in day to day life and which happens occasionally over the last 30 days; Severe impairment (category 3): means that a problem is present more than 50% of the time, with an intensity which partially disrupts day to day life and which happens frequently over the last 30 days; Complete impairment (category 4): means that a problem is present over 95% of the time, with an intensity that totally disrupts day to day life and happens every day over the last 30 days; Not specified (category 8): means there is insufficient information to specify the severity of the impairment; Not applicable (category 9): means it is inappropriate (eg chewing function for gastrectomised or tube‐fed patients).
Self‐ or proxy‐assessed masticatory function: Advantages
The subjective evaluation of masticatory function includes other aspects of mastication such as adaptational and psychological factors that cannot be measured with objective tests. These patient‐based outcomes are considered to be a useful screening method for assessing the masticatory function clinically with considerable cost and time savings. 126 , 127 They were mainly created for epidemiological purposes to detect changes in chewing and to provide actions aimed at caring for patients. 127
Self‐ or proxy‐assessed masticatory function: Limitations
There is a poor correlation between objective evaluation of masticatory function and patient's perception. 17 , 128 Moreover, choosing an appropriate questionnaire instrument for a particular study is mandatory. Categorical answers, for instance, may not detect subtle differences, among subjects which may be clinically important. 127 Measurements based on VAS, on the other hand, allows parametric statistical approaches when random variation is low. Furthermore, questionnaires that include specific food types are very much limited to a specific cultural, or socio‐economic context. For example, questions related to the consumption of meat or raw fish might be irrelevant in countries like India with a high prevalence of individuals with a vegetarian diet. Hence it seems advantageous to enquire about food textures.
Self‐assessed masticatory function: Clinical relevance
Epidemiological instruments as ICF are important to allow specific public health interventions. On the other hand, patient‐centred instruments are the best predictors of patient's choice of treatment, since they are also capable to detect significant differences between treatments. 127 These questionnaires and interviews also help clinicians to better understand the effect of different treatments on patient's well‐being.
7. DISCUSSION
The increased interest in functional oral rehabilitation and in understanding the masticatory process, along with the confusing use of different terms to describe this process, created a demand for a new consensus on mastication terminology. We were aware of the difficulties in meeting such a challenge, but we tried to draw up consensus definitions to guide future studies. Our main goal was to reduce misuse of terms to facilitate comparisons among different studies evaluating masticatory function all over the world. We are also aware that mastication is an integral part in food processing, which is a prerequisite for safe and adequate swallowing. However, in this consensus paper, we intentionally focus on biting and chewing, and do not evaluate the terminology related to the swallowing process.
The outcome of mastication can be objectively evaluated using two different approaches with different research goals: the food bolus collected after a pre‐determined number of chewing cycles or the food bolus collected just before deglutition (at the ‘swallowing threshold’). In the first approach, the masticatory performance can be determined. The second approach provides information on the number of chewing cycles needed to prepare the food for swallowing and on the particle sizes of the chewed food bolus.
It was evident that the most confusing terms were ‘masticatory performance’ and ‘masticatory efficiency’, which were used interchangeably in many cases. Masticatory efficiency is calculated from the results of masticatory performance as determined after multiple numbers (at least two) of fixed chewing cycles. 16 , 33 , 34 , 54 Thus, masticatory efficiency is a more elaborate version of masticatory performance: it is based on several determinations of masticatory performance (Figure 1). Moreover, we pointed out that the term ‘masticatory performance’ applies for all the tests with a fixed number of chewing cycles. Thus, the term masticatory performance must be accompanied by a description of the method employed (Figure 1).
Another point of discussion was about the terms ‘chewing’ and ‘mastication’. The terms chewing performance and masticatory performance have been used interchangeably in the numerous studies of the masticatory process during the last decades, although most studies used the term masticatory performance. 16 , 19 The same holds for chewing efficiency and masticatory efficiency. 16 , 33 , 34 According to the Glossary of Prosthodontic Terms, ‘mastication’ is defined as ‘the process of chewing food for swallowing and digestion’, whereas ‘chewing’ is ‘the deformation of food or other materials (for instance chewing gum, wax or Optosil) between the teeth and soft oral tissues’. In this sense, chewing would be part of mastication. 20 , 32 However, in a practical point of view, most studies consider chewing and mastication terms interchangeable, what is also confirmed in main dictionaries, for example Merriam‐Webster (US English) and Oxford (UK English).
The group discussed the ability of a specific test to objectively determine whether a subject or a group of subjects has or has not the capacity to form an acceptable food bolus, that is safe to swallow. It would be interesting to determine a standard cut‐off point as a ‘gold standard’ assessment of masticatory function. However, a variety of uncontrolled confounding factors may interfere with the masticatory assessment, jeopardising comparisons between different studies. One of these uncontrolled confounding factors relates to the characteristics of the test material employed to evaluate mastication. Food properties are relevant in determining masticatory performance and might be used to classify the employed methods, for example (a) solid relatively brittle food (nuts or artificial test foods related to Optosil), (b) solid less hard non‐brittle food: gummy jelly, (c) granules included in a capsule and (d) soft semi‐solid food: chewing gum or wax. Natural foods, for example carrot or peanuts, may differ in hardness among countries or regions, apart from seasonal variation. 129 Moreover, differences in artificial test materials as product batch, methods of storage, product versions or even in the manipulation of the material may alter the rheological properties of the final product. 113 , 130 , 131 , 132
Other confounding factors comprise differences in the material processing. It might include differences between the optical or sieving analysis, the use of professional vibrating machines or regular plaster vibrators or even differences in the shaking time or the instructions of the vibrating machine. At last, a particular uncontrolled factor is related to the sieving method, especially when subjects with poor masticatory performance are evaluated. In such cases, the particles remain close to the initial size and small differences are difficult to be detected. 59 , 133 An optimal initial particle edge size should be determined in advance, based on the sieve aperture and the way of data processing of cumulative weight data from sieving. 54
The mastication process may belong to one of the three following conditions: totally healthy, moderately impaired and totally impaired, corresponding to masticatory capacity, compensatory adaptation and masticatory incapacity. 134 , 135 Capacity means that mastication is perfectly achieved. Compensatory adaptation occurs when mastication is slightly disturbed, but the individual concerned can implement a physiological adaptation, mainly an increase in the number of cycles, that makes a normal bolus. Incapacity/deficiency means the function is largely deficient, because the individual fails to make a proper food bolus. In such subjects, adaptability is overstretched; they are unable to masticate correctly as shown by the final food bolus. In the latter group, the main subjects’ strategies to feed themselves despite their incapacity are changing diets and swallowing unchewed food. Negative nutritional consequences and/or excessive workload inflicted on the digestive tract are likely. Compensatory adaptation or incapacity can be found in many settings such as craniofacial dysmorphia, neurological diseases, traumatic or surgical sequelae, temporomandibular disorders and other conditions leading to occlusal changes including partial or complete edentulousness.
Although poorly considered and epidemiologically insufficiently documented, mastication incapacity can be expected in large groups of persons. For example, in persons with neuromotor and cognitive disorders such as Parkinson disease, stroke, congenital or acquired brain damage and other neurological disorders. Also, some groups of elderly showed mastication deficiencies values between 20% to 50% with a strong influence of the number of missing teeth. 135 A value of 30.5% total or partial incapacity was also reported with participants aged 20‐59 years in a cross‐sectional study. 120
The group expressed the need to concentrate research on finding one or several tests to determine objectively if a subject or a group of subjects has or has not the capacity to make an acceptable food bolus. It would be interesting to determine a standard cut‐off point, a marker, for masticatory function like glycaemia, creatinine clearance, blood cell counts, globulin or lipids blood concentrations offer cut‐off values/markers for hepatic, renal, blood, immunologic functions or lipid metabolism. The proposal of a masticatory normative indicator (MNI) for carrots 47 and Optosil 136 was a first step in this direction. The permanence of the same mastication frequency for a given individual, masticating a given food differing only by hardness is another example. Because relatively elaborate laboratory procedures are mandatory for these markers, their use will be restricted to research. More casual markers offering a cut‐off value are expected in the future. Of course, and like many other tests which have been elaborated in other medical fields, before reaching a consensus, a variety of uncontrolled confounding factors will interfere with the test finalisation. Comparisons between different proposed tests will be difficult. Possible confounding factors relate to the characteristics of the test material, the choice and the standardisation of the methods. Validations will have to be carried out. To reach a consensus, the desired test(s) must be based on a reproducible method and most of all, easy to use for clinicians either in private clinical practice or in dental facilities. Such a test offering a cut‐off value will be of great clinical significance to assess capacity versus incapacity/deficiency.
Besides objectively measuring one's masticatory performance, the evaluation of the subjective components of mastication is also subjected to confusing terminology. The term ‘masticatory ability’ can be considered as a general definition of the chewing process. 17 , 83 However, it has more frequently been associated to self‐assessed masticatory function studied by interviewing subjects on their oral function. 19 In order to avoid misuse or confusion, we adopted the term ‘Self‐assessment of masticatory function’. Self‐reported perceptions have the limitations to be over‐estimated, especially in elderlies and complete denture wearers. 19 Objective and subjective methods show weak correlations. 137 However, information regarding subject's food avoidance, personal preferences, nutritional habits, among others can only be obtained by questionnaires or interviews. Thus, objective and subjective analyses are complementary and should be applied together.
Recently, an interesting approach was proposed by Jeltema, Beckley and Vahalik 138 , 139 for consumer segmentation. By observing and surveying more than 500 people, they found that individuals have a preferential way to process food in their mouths (Mouth Behavior) and these preferences drive texture preference and food choice. They suggested that consumers fall in roughly four major Mouth Behavior groups (‘Chewers, ‘Crunchers’, ‘Smooshers’ and ‘Suckers’) and can be easily categorised. They observed that four groups fell into two major modes of mouth actions. Chewers and Crunchers used their teeth to breakdown foods, whereas Smooshers and Suckers preferred to manipulate it between the tongue and the roof of the mouth. 138 , 139
The current consensus intended to serve as a guideline for future researches. As such, there is no guarantee about its implementation. Periodic reviews of definitions are encouraged and updates made when appropriate. We hope this consensus statement can be widely supported and adopted in order to standardise masticatory terminology and guide advances in future studies.
8. CONCLUSION
In this consensus review, the definitions of the most commonly used terms and techniques related to masticatory function assessment were discussed and updated. Advantages, limitations and relevance of each method are also revised, based on current concepts published and on experts’ opinions. The suggested terminology will facilitate less ambiguous communication between researchers, clinicians and their patients. It will also enable better documentation and interpretation of research findings and clinical observations. A regular update of the terms is advisable in order to reflect up‐to‐date scientific standard.
CONFLICT OF INTEREST
The authors declare no conflict of interest.
AUTHOR CONTRIBUTION
Gonçalves TMSV is General coordinator of the consensus. She was responsible for monitoring all stages, managing the manuscript from the conception and design to data review, analysis and interpretation. She substantially contributed to the scientific writing of the article and general supervision of the manuscript intellectual review and paper submission. Schimmel M – He was a sub‐coordinator of the consensus with substantial contribution to the conception and study design, actively participating during data acquisition and interpretation. He was also involved in the manuscript submission. Van der Bilt A – He had contributed for data synthesis and analysis, scientific writing of the article and intellectual reviewing of the manuscript. Chen J – He had participated in data analysis and drafting of the manuscript, revising it critically. Van der Glas H – He had participated in data analysis and drafting of the manuscript, revising it critically. Kohyama K – She had participated in data analysis and drafting of the manuscript, revising it critically. Hennequin M – She had participated in data analysis and drafting of the manuscript, revising it critically. Peyron MA – She had participated in data analysis and drafting of the manuscript, revising it critically. Woda A – He had participated in data analysis and drafting of the manuscript, revising it critically. Leles CR – He had participated in data analysis and drafting of the manuscript, revising it critically. Pereira LJ – He was also a sub‐coordinator of the consensus. He substantially contributed to the drafting of the manuscript and data analysis and interpretation. He also worked on the critical review of the paper and final approval of the version submitted.
PEER REVIEW
The peer review history for this article is available at https://publons.com/publon/10.1111/joor.13161.
ACKNOWLEDGMENTS
Authors thank Prof. Wilson Mestriner and Bruno Henrique Matos for help with the pictures of encapsulate granules used to analyse the masticatory function. The authors are also grateful to Prof. Takahiro Ono of Niigata University for his assistance with gummy jelly figure and kind cooperation in this study. The authors declare no conflicts of interest with respect to the authorship and/or publication of this article.
Gonçalves TMSV, Schimmel M, van der Bilt A, et al. Consensus on the terminologies and methodologies for masticatory assessment. J Oral Rehabil. 2021;48:745–761. 10.1111/joor.13161
DATA AVAILABILITY STATEMENT
Data sharing is not applicable to this article as no new data were created or analysed in this study.
REFERENCES
- 1. Gaudenz JU. Ueber die Zerkleinerung und Lösung von Nahrungsmitteln beim Kauact. Archiv Hygiene. 1901;39:230‐251. [Google Scholar]
- 2. Fontijn‐Tekamp FA, Slagter AP, Van Der Bilt A, et al. Biting and chewing in overdentures, full dentures, and natural dentitions. J Dent Res. 2000;79(7):1519‐1524. [DOI] [PubMed] [Google Scholar]
- 3. Woda A, Mishellany A, Peyron MA. The regulation of masticatory function and food bolus formation. J Oral Rehab. 2006;33(11):840‐849. [DOI] [PubMed] [Google Scholar]
- 4. Kohyama K, Mioche L. Chewing behavior observed at different stages of mastication for six foods, studied by electromyography and jaw kinematics in young and elderly subjects. J Texture Stud. 2004;35:395‐414. [Google Scholar]
- 5. Chen J. Food oral processing ‐ a review. Food Hydrocolloids. 2009;23:1‐25. [Google Scholar]
- 6. Kohyama K. Oral Sensing of Food Properties. J Texture Stud. 2015;46:138‐151. [Google Scholar]
- 7. Chen J, Engelen L. Food oral processing: Fundamentals of eating and sensory perception. New Jersey: Wiley‐Blackwell; 2012:408. [Google Scholar]
- 8. Naka O, Anastassiadou V, Pissiotis A. Association between functional tooth units and chewing ability in older adults: a systematic review. Gerodontology. 2014;31(3):166‐177. [DOI] [PubMed] [Google Scholar]
- 9. Hatch JP, Shinkai RS, Sakai S, Rugh JD, Paunovich ED. Determinants of masticatory performance in dentate adults. Arch Oral Biol. 2001;46(7):641‐648. [DOI] [PubMed] [Google Scholar]
- 10. Aras K, Hasanreisoglu U, Shinogaya T. Masticatory performance, maximum occlusal force, and occlusal contact area in patients with bilaterally missing molars and distal extension removable partial dentures. Int J Prosthodont. 2009;22(2):204‐209. [PubMed] [Google Scholar]
- 11. Carlsson GE, Lindquist LW. Ten‐year longitudinal study of masticatory function in edentulous patients treated with fixed complete dentures on osseointegrated implants. Int J Prosthodont. 1994;7(5):448‐453. [PubMed] [Google Scholar]
- 12. Fueki K, Kimoto K, Ogawa T, Garrett NR. Effect of implant‐supported or retained dentures on masticatory performance: A systematic review. J Prosthet Dent. 2007;98(6):470‐477. [DOI] [PubMed] [Google Scholar]
- 13. Wallace S, Samietz S, Abbas M, McKenna G, Woodside JV, Schimmel M. Impact of prosthodontic rehabilitation on the masticatory performance of partially dentate older patients: Can it predict nutritional state? Results from a RCT. J Dent. 2018;68:66‐71. [DOI] [PubMed] [Google Scholar]
- 14. Schimmel M, Leemann B, Herrmann FR, Kiliaridis S, Schnider A, Muller F. Masticatory function and bite force in stroke patients. J Dent Res. 2011;90(2):230‐234. [DOI] [PubMed] [Google Scholar]
- 15. Elsig F, Schimmel M, Duvernay E, et al. Tooth loss, chewing efficiency and cognitive impairment in geriatric patients. Gerodontology. 2015;32(2):149‐156. [DOI] [PubMed] [Google Scholar]
- 16. Bates JF, Stafford GD, Harrison A. Masticatory function ‐ a review of the literature. III. Masticatory performance and efficiency. J Oral Rehabil. 1976;3(1):57‐67. [DOI] [PubMed] [Google Scholar]
- 17. Boretti G, Bickel M, Geering AH. A review of masticatory ability and efficiency. J Prosthet Dent. 1995;74(4):400‐403. [DOI] [PubMed] [Google Scholar]
- 18. van der Bilt A, Engelen L, Pereira LJ, van der Glas HW, Abbink JH. Oral physiology and mastication. Physiol Behav. 2006;89(1):22‐27. [DOI] [PubMed] [Google Scholar]
- 19. van der Bilt A. Assessment of mastication with implications for oral rehabilitation: a review. J Oral Rehabil. 2011;38(10):754‐780. [DOI] [PubMed] [Google Scholar]
- 20. Bonnet G, Batisse C, Peyron MA, Nicolas E, Hennequin M. Which variables should be controlled when measuring the granulometry of a chewed bolus? A systematic review. J Texture Stud. 2019;50(3):194‐216. [DOI] [PubMed] [Google Scholar]
- 21. Elgestad Stjernfeldt P, Sjogren P, Wardh I, Bostrom AM. Systematic review of measurement properties of methods for objectively assessing masticatory performance. Clin Exp Dent Res. 2019;5(1):76‐104. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22. Hollis JH. The effect of mastication on food intake, satiety and body weight. Physiol Behav. 2018;193(Pt B):242‐245. [DOI] [PubMed] [Google Scholar]
- 23. N'Gom PI, Woda A. Influence of impaired mastication on nutrition. J Prosthet Dent. 2002;87(6):667‐673. [DOI] [PubMed] [Google Scholar]
- 24. Gaewkhiew P, Sabbah W, Bernabe E. Does tooth loss affect dietary intake and nutritional status? A systematic review of longitudinal studies. J Dent. 2017;67:1‐8. [DOI] [PubMed] [Google Scholar]
- 25. Krall E, Hayes C, Garcia R. How dentition status and masticatory function affect nutrient intake. J Am Dent Assoc. 1998;129(9):1261‐1269. [DOI] [PubMed] [Google Scholar]
- 26. Fukushima‐Nakayama Y, Ono T, Hayashi M, et al. Reduced Mastication Impairs Memory Function. J Dent Res. 2017;96(9):1058‐1066. [DOI] [PubMed] [Google Scholar]
- 27. Weijenberg RA, Scherder EJ, Lobbezoo F. Mastication for the mind–the relationship between mastication and cognition in ageing and dementia. Neurosci Biobehav Rev. 2011;35(3):483‐497. [DOI] [PubMed] [Google Scholar]
- 28. Trulsson M, van der Bilt A, Carlsson GE, et al. From brain to bridge: masticatory function and dental implants. J Oral Rehabil. 2012;39(11):858‐877. [DOI] [PubMed] [Google Scholar]
- 29. Krishnamoorthy G, Narayana AI, Balkrishanan D. Mastication as a tool to prevent cognitive dysfunctions. Jpn Dent Sci Rev. 2018;54(4):169‐173. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30. Heydecke G, Boudrias P, Awad MA, De Albuquerque RF, Lund JP, Feine JS. Within‐subject comparisons of maxillary fixed and removable implant prostheses: Patient satisfaction and choice of prosthesis. Clin Oral Implants Res. 2003;14(1):125‐130. [DOI] [PubMed] [Google Scholar]
- 31. Schimmel M, Leemann B, Christou P, et al. Oral health‐related quality of life in hospitalised stroke patients. Gerodontology. 2011;28(1):3‐11. [DOI] [PubMed] [Google Scholar]
- 32. The Glossary of Prosthodontic Terms . Ninth Edition. J Prosthet Dent. 2017;117(5S):e1‐e105. [DOI] [PubMed] [Google Scholar]
- 33. van der Bilt A, Olthoff LW, van der Glas HW, van der Weelen K, Bosman F. A mathematical description of the comminution of food during mastication in man. Arch Oral Biol. 1987;32(8):579‐586. [DOI] [PubMed] [Google Scholar]
- 34. van der Glas HW, Liu T, Zhang Y, Wang X, Chen J. Optimizing a determination of chewing efficiency using a solid test food. J Texture Stud. 2020;51(1):169‐184. [DOI] [PubMed] [Google Scholar]
- 35. Oliveira NM, Shaddox LM, Toda C, Paleari AG, Pero AC, Compagnoni MA. Methods for evaluation of masticatory efficiency in conventional complete denture wearers: a systematized review. Oral Health Dent Manag. 2014;13(3):757‐762. [PubMed] [Google Scholar]
- 36. Kapur KK, Soman SD. Masticatory performance and efficiency in denture wearers. J Prosthet Dent. 2006;95(6):407‐411. [DOI] [PubMed] [Google Scholar]
- 37. Olthoff LW, van der Bilt A, Bosman F, Kleizen HH. Distribution of particle sizes in food comminuted by human mastication. Arch Oral Biol. 1984;29(11):899‐903. [DOI] [PubMed] [Google Scholar]
- 38. Prinz JF, Lucas PW. Swallow thresholds in human mastication. Arch Oral Biol. 1995;40(5):401‐403. [DOI] [PubMed] [Google Scholar]
- 39. Hutchings JB, Lillford PJ. The perception of food texture — the philosophy of the breakdown path. J Texture Stud. 1988;19:103‐115. [Google Scholar]
- 40. Peyron MA, Gierczynski I, Hartmann C, et al. Role of physical bolus properties as sensory inputs in the trigger of swallowing. PLoS One. 2011;6(6):e21167. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41. Chen J, Lolivret L. The determining role of bolus rheology in triggering a swallowing. Food Hydrocolloids. 2011;25:325‐332. [Google Scholar]
- 42. Shiozawa K, Kohyama K, Yanagisawa K. Relationship between physical properties of a food bolus and initiation of swallowing. Jpn J Oral Biol. 2014;45:59‐63. [Google Scholar]
- 43. Gray‐Stuart EM, Jones JR, Bronlund JE. Defining the end‐point of mastication: A conceptual model. J Texture Stud. 2017;48(5):345‐356. [DOI] [PubMed] [Google Scholar]
- 44. Schimmel M, Voegeli G, Duvernay E, Leemann B, Muller F. Oral tactile sensitivity and masticatory performance are impaired in stroke patients. J Oral Rehabil. 2017;44(3):163‐171. [DOI] [PubMed] [Google Scholar]
- 45. Sato N, Ono T, Kon H, et al. Ten‐year longitudinal study on the state of dentition and subjective masticatory ability in community‐dwelling elderly people. J Prosthodont Res. 2016;60(3):177‐184. [DOI] [PubMed] [Google Scholar]
- 46. Fontijn‐Tekamp FA, van der Bilt A, Abbink JH, Bosman F. Swallowing threshold and masticatory performance in dentate adults. Physiol Behav. 2004;83(3):431‐436. [DOI] [PubMed] [Google Scholar]
- 47. Woda ANE, Mishellany‐Dutour A, Hennequin M, Mazille MN, Veyrune JL. A new indicator of abnormal masticatory function: the MNI. J Dent Res. 2010;89:281‐285. [DOI] [PubMed] [Google Scholar]
- 48. Pocztaruk Rde L, Frasca LC, Rivaldo EG, Fernandes Ede L, Gaviao MB. Protocol for production of a chewable material for masticatory function tests (Optocal ‐ Brazilian version). Braz Oral Res. 2008;22(4):305‐310. [DOI] [PubMed] [Google Scholar]
- 49. Eberhard L, Schindler HJ, Hellmann D, Schmitter M, Rammelsberg P, Giannakopoulos NN. Comparison of particle‐size distributions determined by optical scanning and by sieving in the assessment of masticatory performance. J Oral Rehabil. 2012;39(5):338‐348. [DOI] [PubMed] [Google Scholar]
- 50. Rosin P, Rammler E. Gesetzmäßigkeiten in der Kornzusammensetzung des Zementes. Zement. 1933;31:427‐433. [Google Scholar]
- 51. Caputo JB, Campos SS, Pereira SM, et al. Masticatory performance and taste perception in patients submitted to cancer treatment. J Oral Rehabil. 2012;39(12):905‐913. [DOI] [PubMed] [Google Scholar]
- 52. van der Bilt A, van der Glas HW, Mowlana F, Heath MR. A comparison between sieving and optical scanning for the determination of particle size distributions obtained by mastication in man. Arch Oral Biol. 1993;38(2):159‐162. [DOI] [PubMed] [Google Scholar]
- 53. van der Bilt A, Fontijn‐Tekamp FA. Comparison of single and multiple sieve methods for the determination of masticatory performance. Arch Oral Biol. 2004;49(2):155‐160. [DOI] [PubMed] [Google Scholar]
- 54. Liu T, Wang X, Chen J, van der Glas HW. Determining chewing efficiency using a solid test food and considering all phases of mastication. Arch Oral Biol. 2018;91:63‐77. [DOI] [PubMed] [Google Scholar]
- 55. Goncalves TM, Campos CH, Garcia RC. Effects of implant‐based prostheses on mastication, nutritional intake, and oral health‐related quality of life in partially edentulous patients: a paired clinical trial. Int J Oral Maxillofac Implants. 2015;30(2):391‐396. [DOI] [PubMed] [Google Scholar]
- 56. Campos CH, Goncalves TM, Rodrigues Garcia RC. Implant retainers for free‐end removable partial dentures affect mastication and nutrient intake. Clin Oral Implants Res. 2014;25(8):957‐961. [DOI] [PubMed] [Google Scholar]
- 57. Muller F, Hernandez M, Grutter L, Aracil‐Kessler L, Weingart D, Schimmel M. Masseter muscle thickness, chewing efficiency and bite force in edentulous patients with fixed and removable implant‐supported prostheses: a cross‐sectional multicenter study. Clin Oral Implants Res. 2012;23(2):144‐150. [DOI] [PubMed] [Google Scholar]
- 58. van Kampen FM, van der Bilt A, Cune MS, Fontijn‐Tekamp FA, Bosman F. Masticatory function with implant‐supported overdentures. J Dent Res. 2004;83(9):708‐711. [DOI] [PubMed] [Google Scholar]
- 59. Speksnijder CM, Abbink JH, van der Glas HW, Janssen NG, van der Bilt A. Mixing ability test compared with a comminution test in persons with normal and compromised masticatory performance. Eur J Oral Sci. 2009;117(5):580‐586. [DOI] [PubMed] [Google Scholar]
- 60. Schimmel M, Christou P, Miyazaki H, Halazonetis D, Herrmann FR, Muller F. A novel colourimetric technique to assess chewing function using two‐coloured specimens: Validation and application. J Dent. 2015;43(8):955‐964. [DOI] [PubMed] [Google Scholar]
- 61. Schimmel M, Christou P, Herrmann F, Muller F. A two‐colour chewing gum test for masticatory efficiency: development of different assessment methods. J Oral Rehabil. 2007;34(9):671‐678. [DOI] [PubMed] [Google Scholar]
- 62. Sato H, Fueki K, Sueda S, et al. A new and simple method for evaluating masticatory function using newly developed artificial test food. J Oral Rehabil. 2003;30(1):68‐73. [DOI] [PubMed] [Google Scholar]
- 63. Buser R, Ziltener V, Samietz S, Fontolliet M, Nef T, Schimmel M. Validation of a purpose‐built chewing gum and smartphone application to evaluate chewing efficiency. J Oral Rehabil. 2018;45(11):845‐853. [DOI] [PubMed] [Google Scholar]
- 64. Liedberg B, Owall B. Masticatory Ability in Experimentally Induced Xerostomia. Dysphagia. 1991;6(4):211‐213. [DOI] [PubMed] [Google Scholar]
- 65. van der Bilt A, Speksnijder CM, de Liz PR, Abbink JH. Digital image processing versus visual assessment of chewed two‐colour wax in mixing ability tests. J Oral Rehabil. 2012;39(1):11‐17. [DOI] [PubMed] [Google Scholar]
- 66. Weijenberg RA, Scherder EJ, Visscher CM, Gorissen T, Yoshida E, Lobbezoo F. Two‐colour chewing gum mixing ability: digitalisation and spatial heterogeneity analysis. J Oral Rehabil. 2013;40(10):737‐743. [DOI] [PubMed] [Google Scholar]
- 67. Lo KC, Lin HH, Lin CS. A novel method for assessing oral mixing ability based on the spatial clusters quantified by variogram. J Oral Rehabil. 2020;47(8):951‐960. [DOI] [PubMed] [Google Scholar]
- 68. Kaya MS, Guclu B, Schimmel M, Akyuz S. Two‐color chewing gum mixing ability test for evaluating masticatory performance in children with mixed dentition: Validity and reliability study. J Oral Rehabil. 2017;44(11):827‐834. [DOI] [PubMed] [Google Scholar]
- 69. Hama Y, Kanazawa M, Minakuchi S, Uchida T, Sasaki Y. Reliability and validity of a quantitative color scale to evaluate masticatory performance using color‐changeable chewing gum. J Med Dent Sci. 2014;61(1):1‐6. [PubMed] [Google Scholar]
- 70. Tarkowska A, Katzer L, Ahlers MO. Assessment of masticatory performance by means of a color‐changeable chewing gum. J Prosthodont Res. 2017;61(1):9‐19. [DOI] [PubMed] [Google Scholar]
- 71. Weijenberg RA, Lobbezoo F, Visscher CM, Scherder EJ. Oral mixing ability and cognition in elderly persons with dementia: a cross‐sectional study. J Oral Rehabil. 2015;42(7):481‐486. [DOI] [PubMed] [Google Scholar]
- 72. Silva L, Nogueira T, Rios L, Schimmel M, Leles C. Reliability of a two‐colour chewing gum test to assess masticatory performance in complete denture wearers. J Oral Rehabil. 2018;45(4):301‐307. [DOI] [PubMed] [Google Scholar]
- 73. Fankhauser N, Kalberer N, Muller F, Leles CR, Schimmel M, Srinivasan M. Comparison of smartphone‐camera and conventional flatbed scanner images for analytical evaluation of chewing function. J Oral Rehabil. 2020;47(12):1496‐1502. [DOI] [PubMed] [Google Scholar]
- 74. Enkling N, Moazzin R, Geers G, Kokoschka S, Abou‐Ayash S, Schimmel M. Clinical Outcomes and Bone Level Alterations Around One‐piece Mini Dental Implants Retaining Mandibular Overdentures: 5‐year Follow‐up of a Prospective Cohort Study. Clin Oral Implants Res. 2020;31(6):549‐556. [DOI] [PubMed] [Google Scholar]
- 75. Nokubi T, Nokubi F, Yoshimuta Y, Ikebe K, Ono T, Maeda Y. Measuring masticatory performance using a new device and beta‐carotene in test gummy jelly. J Oral Rehabil. 2010;37(11):820‐826. [DOI] [PubMed] [Google Scholar]
- 76. Nokubi T, Yasui S, Yoshimuta Y, et al. Fully automatic measuring system for assessing masticatory performance using beta‐carotene‐containing gummy jelly. J Oral Rehabil. 2013;40(2):99‐105. [DOI] [PubMed] [Google Scholar]
- 77. Kobayashi Y, Shiga H, Arakawa I, Yokoyama M. The effectiveness of measuring glucose extraction for estimating masticatory performance. Prosthodont Res Pract. 2006;5(2):104‐108. [Google Scholar]
- 78. Ikebe K, Morii K, Matsuda K, Hazeyama T, Nokubi T. Reproducibility and Accuracy in Measuring Masticatory Performance Using Test Gummy Jelly. Prosthodont Res Pract. 2005;4(1):9‐15. [Google Scholar]
- 79. Salazar S, Hori K, Uehara F, et al. Masticatory performance analysis using photographic image of gummy jelly. J Prosthodont Res. 2020;64(1):48‐54. [DOI] [PubMed] [Google Scholar]
- 80. Nokubi T, Yoshimuta Y, Nokubi F, et al. Validity and reliability of a visual scoring method for masticatory ability using test gummy jelly. Gerodontology. 2013;30(1):76‐82. [DOI] [PubMed] [Google Scholar]
- 81. Escudeiro Santos C, de Freitas O, Spadaro AC, Mestriner‐Junior W. Development of a colorimetric system for evaluation of the masticatory efficiency. Braz Dent J. 2006;17(2):95‐99. [DOI] [PubMed] [Google Scholar]
- 82. Sanchez‐Ayala A, Farias‐Neto A, Vilanova LS, et al. Reproducibility, Reliability, and Validity of Fuchsin‐Based Beads for the Evaluation of Masticatory Performance. J Prosthodont. 2016;25(6):446‐452. [DOI] [PubMed] [Google Scholar]
- 83. Nakasima A, Higashi K, Ichinose M. A new, simple and accurate method for evaluating masticatory ability. J Oral Rehabil. 1989;16(4):373‐380. [DOI] [PubMed] [Google Scholar]
- 84. Huggare J, Skindhoj B. A new method for assessing masticatory performance: a feasibility and reproducibility study. J Oral Rehabil. 1997;24(7):490‐495. [DOI] [PubMed] [Google Scholar]
- 85. Farias Neto A, Pereira BM, Xitara RL, et al. The influence of mandibular implant‐retained overdentures in masticatory efficiency. Gerodontology. 2012;29(2):e650‐e655. [DOI] [PubMed] [Google Scholar]
- 86. Gunne HS, Bergman B, Enbom L, Hogstrom J. Masticatory efficiency of complete denture patients. A clinical examination of potential changes at the transition from old to new denture. Acta Odontol Scand. 1982;40(5):289‐297. [DOI] [PubMed] [Google Scholar]
- 87. Kugimiya Y, Watanabe Y, Igarashi K, et al. Factors associated with masticatory performance in community‐dwelling older adults: A cross‐sectional study. J Am Dent Assoc. 2020;151(2):118‐126. [DOI] [PubMed] [Google Scholar]
- 88. Zhang Y, Liu T, Wang X, Chen J, van der Glas HW. Locking up of food between posterior teeth and its influence on chewing efficiency. Arch Oral Biol. 2019;107:104524. [DOI] [PubMed] [Google Scholar]
- 89. Fontijn‐Tekamp FA, Slagter AP, Van der Bilt A, Van't Hof MA, Kalk W, Jansen JA. Swallowing thresholds of mandibular implant‐retained overdentures with variable portion sizes. Clin Oral Implants Res. 2004;15(3):375‐380. [DOI] [PubMed] [Google Scholar]
- 90. Helkimo E, Carlsson GE, Helkimo M. Chewing efficiency and state of dentition. A methodologic study. Acta Odontol Scand. 1978;36(1):33‐41. [DOI] [PubMed] [Google Scholar]
- 91. Lucas PW, Luke DA. Is food particle size a criterion for the initiation of swallowing? J Oral Rehabil. 1986;13(2):127‐136. [DOI] [PubMed] [Google Scholar]
- 92. Pereira LJ, van der Bilt A. The influence of oral processing, food perception and social aspects on food consumption: a review. J Oral Rehabil. 2016;43(8):630‐648. [DOI] [PubMed] [Google Scholar]
- 93. Blanquet‐Diot S, François O, Denis S, Hennequin M, Peyron MA. Importance of oral phase in in vitro starch digestibility related to wholegrain versus refined pastas and mastication impairment. Food Hydrocolloids. 2021;112:106277. [Google Scholar]
- 94. Peyron MA, Santé‐Lhoutellier V, Dardevet D, et al. Addressing various challenges related to food bolus and nutrition with the AM2 mastication simulator. Food Hydrocolloids. 2019;97:105229. [Google Scholar]
- 95. Anderson DJ, Hector MP, Linden RW. The possible relation between mastication and parotid secretion in the rabbit. J Physiol. 1985;364:19‐29. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 96. Engelen L, Fontijn‐Tekamp A, van der Bilt A. The influence of product and oral characteristics on swallowing. Arch Oral Biol. 2005;50(8):739‐746. [DOI] [PubMed] [Google Scholar]
- 97. Carretero D, Sanchez‐Ayala A, Rodriguez A, Lagravere MO, Goncalves TM, Garcia RC. Relationship between non‐ulcerative functional dyspepsia, occlusal pairs and masticatory performance in partially edentulous elderly persons. Gerodontology. 2011;28(4):296‐301. [DOI] [PubMed] [Google Scholar]
- 98. Dellow PG, Lund JP. Evidence for central timing of rhythmical mastication. J Physiol. 1971;215(1):1‐13. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 99. Lund JP. Mastication and its control by the brain stem. Crit Rev Oral Biol Med. 1991;2(1):33‐64. [DOI] [PubMed] [Google Scholar]
- 100. Ottenhoff FA, van der Bilt A, van der Glas HW, Bosman F. Peripherally induced and anticipating elevator muscle activity during simulated chewing in humans. J Neurophysiol. 1992;67(1):75‐83. [DOI] [PubMed] [Google Scholar]
- 101. Pedersen AM, Bardow A, Jensen SB, Nauntofte B. Saliva and gastrointestinal functions of taste, mastication, swallowing and digestion. Oral Dis. 2002;8(3):117‐129. [DOI] [PubMed] [Google Scholar]
- 102. Woda A, Foster K, Mishellany A, Peyron MA. Adaptation of healthy mastication to factors pertaining to the individual or to the food. Physiol Behav. 2006;89(1):28‐35. [DOI] [PubMed] [Google Scholar]
- 103. van der Bilt A, Abbink JH. The influence of food consistency on chewing rate and muscular work. Arch Oral Biol. 2017;83:105‐110. [DOI] [PubMed] [Google Scholar]
- 104. Veyrune JL, Ope S, Nicolas E, Woda A, Hennequin M. Changes in mastication after an immediate loading implantation with complete fixed rehabilitation. Clin Oral Investig. 2013;17(4):1127‐1134. [DOI] [PubMed] [Google Scholar]
- 105. van der Bilt A, Tekamp A, van der Glas H, Abbink J. Bite force and electromyograpy during maximum unilateral and bilateral clenching. Eur J Oral Sci. 2008;116(3):217‐222. [DOI] [PubMed] [Google Scholar]
- 106. Arakawa I, Abou‐Ayash S, Genton L, Tsuga K, Leles CR, Schimmel M. Reliability and comparability of methods for assessing oral function: Chewing, tongue pressure and lip force. J Oral Rehabil. 2020;47(7):862‐871. [DOI] [PubMed] [Google Scholar]
- 107. de Groot RJ, Merkx MAW, Hamann MNS, et al. Tongue function and its influence on masticatory performance in patients treated for oral cancer: a five‐year prospective study. Support Care Cancer. 2020;28(3):1491‐1501. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 108. Weijnen FG, van der Bilt A, Wokke JH, Kuks JB, van der Glas HW, Bosman F. What's in a smile?: Quantification of the vertical smile of patients with myasthenia gravis. J Neurol Sci. 2000;173(2):124‐128. [DOI] [PubMed] [Google Scholar]
- 109. Schimmel M, Memedi K, Parga T, Katsoulis J, Muller F. Masticatory Performance and Maximum Bite and Lip Force Depend on the Type of Prosthesis. Int J Prosthod. 2017;30(6):565‐572. [DOI] [PubMed] [Google Scholar]
- 110. Dawes C. Physiological factors affecting salivary flow rate, oral sugar clearance, and the sensation of dry mouth in man. J Dent Res. 1987;66:648‐653. [DOI] [PubMed] [Google Scholar]
- 111. Yamada H, Nakagawa Y, Nomura Y, et al. Preliminary results of moisture checker for Mucus in diagnosing dry mouth. Oral Dis. 2005;11(6):405‐407. [DOI] [PubMed] [Google Scholar]
- 112. Minakuchi S, Tsuga K, Ikebe K, et al. Oral hypofunction in the older population: Position paper of the Japanese Society of Gerodontology in 2016. Gerodontology. 2018;35(4):317‐324. [DOI] [PubMed] [Google Scholar]
- 113. Foster KD, Woda A, Peyron MA. Effect of texture of plastic and elastic model foods on the parameters of mastication. J Neurophysiol. 2006;95(6):3469‐3479. [DOI] [PubMed] [Google Scholar]
- 114. Kohyama K, Gao Z, Watanabe T, Ishihara S, Nakao S, Funami T. Relationships between mechanical properties obtained from compression test and electromyography variables during natural oral processing of gellan gum gels. J Tex Stud. 2017;48(1):66‐75. [Google Scholar]
- 115. Turker KS. Reflex control of human jaw muscles. Crit Rev Oral Biol Med. 2002;13(1):85‐104. [DOI] [PubMed] [Google Scholar]
- 116. Hennequin M, Mazille MN, Cousson PY, Nicolas E. Increasing the number of inter‐arch contacts improves mastication in adults with Down syndrome: a prospective controlled trial. Physiol Behav. 2015;145:14‐21. [DOI] [PubMed] [Google Scholar]
- 117. Muller K, Morais J, Feine J. Nutritional and anthropometric analysis of edentulous patients wearing implant overdentures or conventional dentures. Braz Dent J. 2008;19(2):145‐150. [DOI] [PubMed] [Google Scholar]
- 118. Hilasaca‐Mamani M, Barbosa Tde S, Fegadolli C, Castelo PM. Validity and reliability of the quality of masticatory function questionnaire applied in Brazilian adolescents. Codas. 2016;28(2):149‐154. [DOI] [PubMed] [Google Scholar]
- 119. Persic S, Palac A, Bunjevac T, Celebic A. Development of a new chewing function questionnaire for assessment of a self‐perceived chewing function. Community Dent Oral Epidemiol. 2013;41(6):565‐573. [DOI] [PubMed] [Google Scholar]
- 120. Cavalcanti RVA, Magalhaes Junior HV, Pernambuco LA, Lima KC. Screening for masticatory disorders in older adults (SMDOA): An epidemiological tool. J Prosthodont Res. 2020;64(3):243‐249. [DOI] [PubMed] [Google Scholar]
- 121. Fueki K, Yoshida E, Igarashi Y. A structural equation model relating objective and subjective masticatory function and oral health‐related quality of life in patients with removable partial dentures. J Oral Rehabil. 2011;38(2):86‐94. [DOI] [PubMed] [Google Scholar]
- 122. Leake JL. An index of chewing ability. J Public Health Dent. 1990;50(4):262‐267. [DOI] [PubMed] [Google Scholar]
- 123. Koshino H, Hirai T, Toyoshita Y, et al. Development of new food intake questionnaire method for evaluating the ability of mastication in complete denture wearers. Prosthodont Res Prac. 2008;7(1):12‐18. [Google Scholar]
- 124. Dougall A, Molina GF, Eschevins C, Faulks D. A Global Oral Health Survey of professional opinion using the International Classification of Functioning, Disability and Health. J Dent. 2015;43(6):683‐694. [DOI] [PubMed] [Google Scholar]
- 125. Faulks D, Molina G, Eschevins C, Dougall A. Child oral health from the professional perspective ‐ a global ICF‐CY survey. Int J Paediatr Dent. 2016;26(4):266‐280. [DOI] [PubMed] [Google Scholar]
- 126. Kim BI, Jeong SH, Chung KH, Cho YK, Kwon HK, Choi CH. Subjective food intake ability in relation to maximal bite force among Korean adults. J Oral Rehabil. 2009;36(3):168‐175. [DOI] [PubMed] [Google Scholar]
- 127. Feine JS, Lund JP. Measuring chewing ability in randomized controlled trials with edentulous populations wearing implant prostheses. J Oral Rehabil. 2006;33(4):301‐308. [DOI] [PubMed] [Google Scholar]
- 128. Slagter AP, Olthoff LW, Bosman F, Steen WH. Masticatory ability, denture quality, and oral conditions in edentulous subjects. J Prosthet Dent. 1992;68(2):299‐307. [DOI] [PubMed] [Google Scholar]
- 129. Gambarelli FR, Serra MD, Pereira LJ, Gavião MBD. Influence of measurement technique, test food, teeth and muscle force interactions in masticatory performance. J Tex Stud. 2007;38(1):2‐20. [Google Scholar]
- 130. Hwang J, Kim DK, Bae JH, et al. The effect of rheological properties of foods on bolus characteristics after mastication. Ann Rehabil Med. 2012;36(6):776‐784. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 131. Dimier F, Vergnes B, Vincent M. Relationships between mastication conditions and rheological behavior of a natural rubber. Rheol Acta. 2004;43:196‐202. [Google Scholar]
- 132. Campos SS, Pereira CV, Zangeronimo MG, Marques LS, Pereira LJ. Influence of disinfectant solutions on test materials used for the determination of masticatory performance. Braz Oral Res. 2013;27(3):238‐244. [DOI] [PubMed] [Google Scholar]
- 133. van der Bilt A, Mojet J, Tekamp FA, Abbink JH. Comparing masticatory performance and mixing ability. J Oral Rehabil. 2010;37(2):79‐84. [DOI] [PubMed] [Google Scholar]
- 134. Feldman RS, Kapur KK, Alman JE, Chauncey HH. Aging and mastication: changes in performance and in the swallowing threshold with natural dentition. J Am Geriatr Soc. 1980;28(3):97‐103. [DOI] [PubMed] [Google Scholar]
- 135. Bourdiol P, Hennequin M, Peyron MA, Woda A. Masticatory Adaptation to Occlusal Changes. Front Physiol. 2020;2020(11):263eCollectio006Ewe. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 136. Witter DJ, Woda A, Bronkhorst EM, Creugers NH. Clinical interpretation of a masticatory normative indicator analysis of masticatory function in subjects with different occlusal and prosthodontic status. J Dent. 2013;41(5):443‐448. [DOI] [PubMed] [Google Scholar]
- 137. Pedroni‐Pereira A, Marquezin MCS, Araujo DS, Pereira LJ, Bommarito S, Castelo PM. Lack of agreement between objective and subjective measures in the evaluation of masticatory function: A preliminary study. Physiol Behav. 2018;184:220‐225. [DOI] [PubMed] [Google Scholar]
- 138. Jeltema M, Beckley J, Vahalik J. Model for understanding consumer textural food choice. Food Sci Nutr. 2015;3(3):202‐212. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 139. Jeltema M, Beckley J, Vahalik J. Food texture assessment and preference based on Mouth Behavior. Food Qual Prefer. 2016;52:160‐171. [Google Scholar]
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Data Availability Statement
Data sharing is not applicable to this article as no new data were created or analysed in this study.
