Quantification of human chewing-cycle kinematics

Citation
Ph. Buschang et al., Quantification of human chewing-cycle kinematics, ARCH ORAL B, 45(6), 2000, pp. 461-474
Citations number
57
Categorie Soggetti
da verificare
Journal title
ARCHIVES OF ORAL BIOLOGY
ISSN journal
00039969 → ACNP
Volume
45
Issue
6
Year of publication
2000
Pages
461 - 474
Database
ISI
SICI code
0003-9969(200006)45:6<461:QOHCK>2.0.ZU;2-R
Abstract
This study introduces new methods of quantifying and evaluating the human c hewing cycle. These methods were validated on a sample of 26 young adults ( 11 women and 15 men) between 20-35 years of age. Movements of the mandibula r central incisors were recorded (100 Hz) using an optoelectric computer sy stem while the participants chewed gum. A subsample of 10 cycles was automa tically selected, based on multiple objective criteria to ensure representa tive cycles for each individual. Once representative cycles had been identi fied, multilevel statistical models were used to evaluate and describe the sample's kinematic patterns. The multilevel procedures allow for missing ob servations, they do not assume equal intervals. and variation can be partit ioned hierarchically. Two-level models showed significantly shorter cycle d uration for males (835 msec) than females (973 msec). Inferior-superior (IS ) cycle range was 2.6 mm larger and maximum LS velocity was 19.6 mm/sec fas ter in males than females. There were no significant differences in medial- lateral (ML) and anteroposterior (AP) excursive ranges or velocities. With the exception of cycle duration and ML ranges of motion, random variation w as three to five times larger between individuals than between cycles. The three-level models showed that eighth-order polynomials were necessary to d escribe IS, AP, and ML chewing movements of the entire cycle. The models id entified highly significant sex differences in cycle kinematics (excursions , velocities, accelerations, etc.) for each aspect of movement (AP, IS, and ML). It is concluded that this;approach provides several important advanta ges over existing methods, including (a) its objectivity, (b) a more comple te description of kinematic patterns, (c) a hierarchical description of var iation, and (d) its ability to test hypotheses statistically, (C) 2000 Else vier Science Ltd. All rights reserved.