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European Journal Of Oral Sciences
Article . 2017 . Peer-reviewed
License: Wiley Online Library User Agreement
Data sources: Crossref
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The factor structure of dental fear

Authors: Caroline M. H. H. van Houtem; Arjen J. van Wijk; Dorret I. Boomsma; Lannie Ligthart; Corine M. Visscher; Ad De Jongh;

The factor structure of dental fear

Abstract

There is limited empirical information as to whether or how stimuli associated with dental fear can be classified into distinct subtypes. The purpose of the current study was to develop a descriptive framework for the classification of dental fear. Data were collected using a survey among Dutch twin families (n = 11,771). The sample was randomly divided into two subsamples of, respectively, 5,920 and 5,851 individuals. An exploratory factor analysis (EFA) was performed on the first subsample to delineate the multidimensional structure of a set of 28 dental‐fear‐provoking objects and situations. The second sample was used to confirm the newly derived model using confirmatory factor analysis (CFA). The EFA yielded a three‐factor solution with 70.7% explained variance pertaining to: (i) invasive treatment or pain; (ii) losing control; and (iii) physical sensations. The CFA showed an acceptable fit to the data, thereby confirming the stability of the three‐factor structure. There are at least three different subtypes of dental fear. As these subtypes require a different treatment approach in clinical practice, it could be important to assess the severity of patients' fear response along these three dimensions.

Country
Netherlands
Keywords

Netherlands Twin Register (NTR), Adult, Male, 150, 610, Fear, Models, Theoretical, Surveys and Questionnaires, Dental Anxiety, Journal Article, Humans, Female, Factor Analysis, Statistical

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
9
Average
Average
Top 10%
hybrid