Determinants of masticatory performance assessed by mixing ability tests
Metadatos
Mostrar el registro completo del ítemAutor
Javier, Montero; Leiva, Luis A.; Martín Quintero, Inmaculada; Rosel, E; Barrios Rodríguez, RocíoMateria
masticatory performance determinants
Fecha
2022-09Referencia bibliográfica
Montero J, Leiva LA, Martín-Quintero I, Rosel E, Barrios-Rodriguez R. Determinants of masticatory performance assessed by mixing ability tests. Journal of Prosthetic Dentistry. 2022;128(3):382-389
Patrocinador
The authors acknowledge 2 Spanish patents support both the platten design (ES2597839) and the computer-assisted method (ES2597237) used in this study.Resumen
Statement of problem. Studies determining the main predictors of masticatory performance by using mixing ability tests are sparse.
Purpose. The purpose of this clinical study was to identify potential determinants of masticatory performance assessed by analyzing a
patient’s masticatory ability using bicolored chewing gum and visual, quantitative, and interactive methods.
Material and methods. Nondental participants attending healthcare centers were consecutively recruited in Granada, Spain. The
inclusion criteria were older than18 years and resident in the coverage area of the reference healthcare centers for at least the
previous 6 months. The participants were excluded if they had received dental treatment in the previous 6 months or they were
unable to communicate. The masticatory performance was determined by using 2-colored chewing gum (Kiss 3 white and blue;
Smint) that was masticated for a total of 20 strokes. The masticated gum was crushed between 2 transparent glass slides, creating
a 1-mm-thick specimen that was subsequently scanned. The mixed-color area was calculated as a percentage by using Photoshop
as described by Schimmel et al and designated as the standard method. In addition, all images made were analyzed by using the
Web application the Chewing Performance Calculator. In addition, the masticated bolus was inspected visually, and mastication
performance was classified as being poor, moderate, or good. Sociodemographic data, as well as data on behaviors, medical and
nutritional status, health-related quality of life, saliva, and general oral health, were collected for all participants to identify the main
determinants of masticatory performance.
Results. One hundred thirty-seven participants were enrolled. The masticatory performance values obtained using both methods
(standard method and Chewing Performance Calculator) were significantly greater for well masticated gum (P<.001), which had
been visually classified as being poorly masticated (69.1% for standard method and 43.5% for Chewing Performance Calculator),
moderately masticated (89.7% for standard method and 67.3% for Chewing Performance Calculator), and well masticated (97.3%
for standard method and 80.3% for Chewing Performance Calculator). The bivariate analyses revealed that masticatory
performance was significantly higher in younger people (<65 years) (P=.008), who also had a higher basal salivary flow rate
(P<.001), were nondenture users (P=.002), and had more standing teeth and occlusal units (P<.001). However, the multiple
regression analyses showed that the number of occlusal units was the only significant predictor of masticatory performance. In
addition, the mean masticatory performance (95% confidence interval: 47.7% to 56.8%) was found to be greatly improved (by
1.2% to 2.2%), with each occlusal unit, in accordance with the Chewing Performance Calculator and between 0.8% and 1.8%
according to the standard method; the basal masticatory performance was calculated as 72.1% to 81.2% (95% confidence interval).
Conclusions. The number of occlusal units is one of the main predictors of masticatory performance when a 2-color bolus is used to test mixing ability.





