Multivariate analysis of craniomandibular disorders.
This article presents the clinical application of a special statistical method, the Multiple Correspondence Analysis (MCA), derived from data analysis and particularly suited to study a restricted population (here, 202 patients with temporomandibular joint [TMJ] disorders) whose characteristics are defined by a large number of modalities (140). Processing of a Burt-type data table, or Complete Disjunctive Table (CDT), provided a geometrical visualization of information, and permitted determination of the prevalent factor axes. Results showed a significant relationship between all the articular disorders, either peripheral or focal (TMJ), thus revealing the possibility of a yet, little known morphogenic influence on the genesis of TMJ disorders.
Quémar
J C
JC
Faculty of Dental Surgery of the University of Rennes, France.
Lazar
B D
BD
D000293:Adolescent; D000328:Adult; D017271:Craniomandibular Disorders / Q000473:pathology* / Q000503:physiopathology; D005163:Factor Analysis, Statistical; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D015999:Multivariate Analysis; D011187:Posture; D013016:Sound; D013314:Stress, Mechanical; D011795:Surveys and Questionnaires