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- Klingberg, Gunilla, 1960, et al.
(författare)
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Child dental fear: cause-related factors and clinical effects.
- 1995
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Ingår i: European journal of oral sciences. - 0909-8836. ; 103:6, s. 405-12
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Tidskriftsartikel (refereegranskat)abstract
- The relationship between child dental fear and clinical effects, and the importance of some etiological factors related to the development of dental fear in children, were studied in 3,204 urban Swedish children aged 4 to 6 and 9 to 11 yr. Information concerning child dental fear (as measured by the Dental Subscale of Children's Fear Survey Schedule), general fears, parental dental fear, parents' employment and native language was obtained through questionnaires. Data regarding dental health, behavior management problems (BMP) and modes of dental treatment were compiled from dental records. The results showed that child dental fear was associated with missing appointments and dental caries. A proportion of 27% of the children with BMP were dentally fearful, while 61% of the children with dental fear reacted with BMP. A model for stepwise regression analysis showed that general fears, maternal dental fear, and age were important etiological factors in the development of dental fear in children.
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| 2. |
- Klingberg, Gunilla, 1960, et al.
(författare)
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Machine learning methods applied on dental fear and behavior management problems in children.
- 1999
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Ingår i: Acta odontologica Scandinavica. - 0001-6357. ; 57:4, s. 207-15
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Tidskriftsartikel (refereegranskat)abstract
- The etiologies of dental fear and dental behavior management problems in children were investigated in a database of information on 2,257 Swedish children 4-6 and 9-11 years old. The analyses were performed using computerized inductive techniques within the field of artificial intelligence. The database held information regarding dental fear levels and behavior management problems, which were defined as outcomes, i.e. dependent variables. The attributes, i.e. independent variables, included data on dental health and dental treatments, information about parental dental fear, general anxiety, socioeconomic variables, etc. The data contained both numerical and discrete variables. The analyses were performed using an inductive analysis program (XpertRule Analyser, Attar Software Ltd, Lancashire, UK) that presents the results in a hierarchic diagram called a knowledge tree. The importance of the different attributes is represented by their position in this diagram. The results show that inductive methods are well suited for analyzing multifactorial and complex relationships in large data sets, and are thus a useful complement to multivariate statistical techniques. The knowledge trees for the two outcomes, dental fear and behavior management problems, were very different from each other, suggesting that the two phenomena are not equivalent. Dental fear was found to be more related to non-dental variables, whereas dental behavior management problems seemed connected to dental variables.
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