Epidemiologic characteristics of dental caries: relation of DMFS to DMFT. 1983

S Järvinen

The relationship between the age-specific mean number of DMF teeth and the age-specific mean number of DMF surfaces in the population has been studied using the original data of Knutson and epidemiologic data from five Finnish materials, including data of 4718 subjects examined. Two models of regression between the variables were evaluated statistically by making a comparison between a linear and a curvilinear model of regression. For Knutson's original data, both models were suitable, apart from one data set with a relatively high caries prevalence, for which the association between the variables could be better expressed by the linear model. Concerning the recent Finnish materials, the difference in accuracy between the models seemed to be related to the range of the measurements; the larger the range of the measured caries prevalences, including low and high prevalence rates, the more proponderant the curvilinear model. For very low caries populations as well, the curvilinear model, a correction exponential curve, seemed to fit caries data somewhat better than the straight line.

UI MeSH Term Description Entries
D008297 Male Males
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
D002648 Child A person 6 to 12 years of age. An individual 2 to 5 years old is CHILD, PRESCHOOL. Children
D003731 Dental Caries Localized destruction of the tooth surface initiated by decalcification of the enamel followed by enzymatic lysis of organic structures and leading to cavity formation. If left unchecked, the cavity may penetrate the enamel and dentin and reach the pulp. Caries, Dental,Carious Lesions,Dental Cavities,Dental Cavity,Dental Decay,Dental White Spots,Carious Dentin,Decay, Dental,Dental White Spot,White Spot, Dental,White Spots, Dental,Carious Dentins,Carious Lesion,Cavities, Dental,Cavity, Dental,Dentin, Carious,Dentins, Carious,Lesion, Carious,Lesions, Carious,Spot, Dental White,Spots, Dental White
D004245 DMF Index "Decayed, missing and filled teeth," a routinely used statistical concept in dentistry. Decayed, Missing, and Filled Teeth,DMF Indexes,DMF Indexe,DMF Indices,Index, DMF,Indexe, DMF,Indexes, DMF,Indices, DMF
D004812 Epidemiologic Methods Research techniques that focus on study designs and data gathering methods in human and animal populations. Epidemiologic Method,Epidemiological Methods,Methods, Epidemiologic,Epidemiological Method,Method, Epidemiologic,Method, Epidemiological,Methods, Epidemiological
D005260 Female Females
D005387 Finland A country in northern Europe, bordering the Baltic Sea, Gulf of Bothnia, and Gulf of Finland, between Sweden and Russia. The capital is Helsinki. Aland Islands,Åland Islands
D006801 Humans Members of the species Homo sapiens. Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D000293 Adolescent A person 13 to 18 years of age. Adolescence,Youth,Adolescents,Adolescents, Female,Adolescents, Male,Teenagers,Teens,Adolescent, Female,Adolescent, Male,Female Adolescent,Female Adolescents,Male Adolescent,Male Adolescents,Teen,Teenager,Youths

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