title: Analysis of occlusal variables, dental attrition, and age for distinguishing healthy controls from female patients with intracapsular temporomandibular disorders.
abstract: BACKGROUND
  Confusion about the relationship of occlusion to temporomandibular disorders (TMD) persists.
  
  
  OBJECTIVE
  This study attempted to identify occlusal and attrition factors plus age that would characterize asymptomatic normal female subjects.
  
  
  METHODS
  A total of 124 female patients with intracapsular TMD were compared with 47 asymptomatic female controls for associations to 9 occlusal factors, 3 attrition severity measures, and age using classification tree, multiple stepwise logistic regression, and univariate analyses. Models were tested for accuracy (sensitivity and specificity) and total contribution to the variance.
  
  
  RESULTS
  The classification tree model had 4 terminal nodes that used only anterior attrition and age. "Normals" were mainly characterized by low attrition levels, whereas patients had higher attrition and tended to be younger. The tree model was only moderately useful (sensitivity 63%, specificity 94%) in predicting normals. The logistic regression model incorporated unilateral posterior crossbite and mediotrusive attrition severity in addition to the 2 factors in the tree, but was slightly less accurate than the tree (sensitivity 51%, specificity 90%). When only occlusal factors were considered in the analysis, normals were additionally characterized by a lack of anterior open bite, smaller overjet, and smaller RCP-ICP slides. The log likelihood accounted for was similar for both the tree (pseudo R(2) = 29.38%; mean deviance = 0.95) and the multiple logistic regression (Cox Snell R(2) = 30.3%, mean deviance = 0.84) models.
  
  
  CONCLUSIONS
  The occlusal and attrition factors studied were only moderately useful in differentiating normals from TMD patients.
authors.affiliation: Division of Oral Biology and Medicine, UCLA School of Dentistry, Los Angeles, CA 90024-1668, USA. DonaldS261@aol.com
authors.forename: D A
authors.initials: DA
authors.lastname: Seligman
authors.forename: A G
authors.initials: AG
authors.lastname: Pullinger
mesh_terms: D000293:Adolescent; D000328:Adult; D000367:Age Factors; D000368:Aged; D000704:Analysis of Variance; D003766:Dental Occlusion; D003937:Diagnosis, Differential; D005260:Female; D006801:Humans; D016015:Logistic Models; D008875:Middle Aged; D012016:Reference Values; D012189:Retrospective Studies; D018709:Statistics, Nonparametric; D013705:Temporomandibular Joint Disorders / Q000145:classification / Q000175:diagnosis*; D019217:Tooth Attrition / Q000145:classification / Q000175:diagnosis*