Aetiological factors of craniomandibular disorders in completely edentulous denture-wearing patients. 1991

K D Faulkner, and M D Mercado
Faculty of Medicine and Dentistry, School of Dental Science, University of Melbourne, Victoria, Australia.

A total of 201 completely edentulous patients awaiting treatment for new complete dentures at the Royal Dental Hospital of Melbourne were examined for signs and symptoms of craniomandibular disorders, and a history was taken regarding their dentures. Statistical analysis by means of Student's t-test showed that the only reliable indicator of craniomandibular disorder was the patient's sex, i.e. female subjects tend to show more symptoms of craniomandibular disorders than male subjects. When regression and multiple regression analyses were applied, it was found that subjects with a history of fewer sets of complete dentures worn appeared to be correlated with an increase in the number of signs and symptoms of craniomandibular disorders. However, this correlation had a weak predictive power, although it was significant enough to indicate that such a relationship could exist in the general population.

UI MeSH Term Description Entries
D008297 Male Males
D009066 Mouth, Edentulous Total lack of teeth through disease or extraction. Mouth, Toothless,Edentulous Mouth,Edentulous Mouths,Toothless Mouth
D011237 Predictive Value of Tests In screening and diagnostic tests, the probability that a person with a positive test is a true positive (i.e., has the disease), is referred to as the predictive value of a positive test; whereas, the predictive value of a negative test is the probability that the person with a negative test does not have the disease. Predictive value is related to the sensitivity and specificity of the test. Negative Predictive Value,Positive Predictive Value,Predictive Value Of Test,Predictive Values Of Tests,Negative Predictive Values,Positive Predictive Values,Predictive Value, Negative,Predictive Value, Positive
D012044 Regression Analysis Procedures for finding the mathematical function which best describes the relationship between a dependent variable and one or more independent variables. In linear regression (see LINEAR MODELS) the relationship is constrained to be a straight line and LEAST-SQUARES ANALYSIS is used to determine the best fit. In logistic regression (see LOGISTIC MODELS) the dependent variable is qualitative rather than continuously variable and LIKELIHOOD FUNCTIONS are used to find the best relationship. In multiple regression, the dependent variable is considered to depend on more than a single independent variable. Regression Diagnostics,Statistical Regression,Analysis, Regression,Analyses, Regression,Diagnostics, Regression,Regression Analyses,Regression, Statistical,Regressions, Statistical,Statistical Regressions
D003766 Dental Occlusion The relationship of all the components of the masticatory system in normal function. It has special reference to the position and contact of the maxillary and mandibular teeth for the highest efficiency during the excursive movements of the jaw that are essential for mastication. (From Jablonski, Dictionary of Dentistry, 1992, p556, p472) Canine Guidance,Occlusal Guidance,Occlusal Plane,Occlusion, Dental,Dental Occlusions,Guidance, Canine,Guidance, Occlusal,Occlusal Guidances,Occlusal Planes,Occlusions, Dental,Plane, Occlusal,Planes, Occlusal
D003778 Dentures An appliance used as an artificial or prosthetic replacement for missing teeth and adjacent tissues. It does not include CROWNS; DENTAL ABUTMENTS; nor TOOTH, ARTIFICIAL. Denture
D003824 Denture, Complete A denture replacing all natural teeth and associated structures in both the maxilla and mandible. Complete Denture,Complete Dentures,Dentures, Complete
D005260 Female Females
D006801 Humans Members of the species Homo sapiens. Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D000367 Age Factors Age as a constituent element or influence contributing to the production of a result. It may be applicable to the cause or the effect of a circumstance. It is used with human or animal concepts but should be differentiated from AGING, a physiological process, and TIME FACTORS which refers only to the passage of time. Age Reporting,Age Factor,Factor, Age,Factors, Age

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