Evidence map›Paper›PMID 41034939›Full record

ArticleBMC oral health2025

Exploring high dental anxiety subtypes using cluster analysis approach: a cross-sectional study.

Mika Kajita, Vesa Pohjola, Eeva-Leena Kataja, Satu Lahti

Abstract read
In one paragraph

Article in BMC oral health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Mika KajitaDepartment of Community Dentistry, Institute of Dentistry, University of Turku, 20014, Turku, Finland. mika.ogawa@utu.fi.ORCID http://orcid.org/0000-0001-7597-174X
Vesa PohjolaDepartment of Community Dentistry, Institute of Dentistry, University of Turku, 20014, Turku, Finland.ORCID http://orcid.org/0000-0003-3521-5661
Eeva-Leena KatajaDepartment of Clinical Medicine, Turku Brain and Mind Center, FinnBrain Birth Cohort Study, University of Turku, Turku, Finland.ORCID http://orcid.org/0000-0001-9324-380X
Satu LahtiDepartment of Community Dentistry, Institute of Dentistry, University of Turku, 20014, Turku, Finland.ORCID http://orcid.org/0000-0003-3457-4611

Funding

Japan Society for the Promotion of Science 20K18817Selma and Maja-Lisa Selander's fund 239the European Union's Horizon Europe Framework programme for research and innovation 2021-2027 under the Marie Skłodowska-Curie grant agreement No 101126611, as part of the SYS-LIFE postdoctoral programme
6 · The paper itself

Abstract

backgroundDental anxiety (DA) arises from exogenous learning experiences and endogenous vulnerabilities, yet little is known about how these factors combine within highly anxious adults. The aim was to identify empirical subtypes of high DA based on endo/exogenous factors and compare them according to self-reported oral health, care-seeking behavior, and preferred dental treatment conditions.

methodsA cross-sectional online survey of 399 Japanese adults (mean ± S.D. age = 43.5 ± 13.1 years; 50% women) who rated "very frightening" on the Japanese Single Dental Anxiety Question. Seven predictors were entered into a two-step cluster analysis: four exogenous variables (distressing dental and medical experiences, family DA, exposure to frightening dentists in the media) and three endogenous variables (fear of pain, pain catastrophizing, sensory-processing sensitivity). Demographics, Seattle DA classification, dental attendance pattern, self-reported oral health, and preferred treatment conditions (cognitive-behavioral therapy, conscious sedation, or general anesthesia) were compared between clusters using chi-square and Mann-Whitney U tests.

resultsThe optimal solution consisted of two clusters (silhouette = 0.30, maximum/ minimum ratio = 1.31). All participants in Cluster 1 (n = 173) had experienced distressing dental treatment and showed higher pain catastrophizing (p < 0.001). No one in Cluster 2 (n = 226) reported traumatic dental events and had lower catastrophizing, fewer regular check-ups (12% vs. 24%), a higher proportion who had never visited a dentist (14% vs. 0%), and less interest in DA treatment compared to Cluster 1.

conclusionsTwo partially overlapping DA phenotypes emerged: C1 as "Trauma & Catastrophizing Compounded C1/ Still-Considers" and C2 as "Latent-Trait Driven C2/ Extreme Avoiders." Tailored strategies that combine trauma-informed exposure for the former and sensory-adapted engagement for the latter may enhance the uptake of oral healthcare. Broader endogenous indicators should be added in future work to refine subtype boundaries.

Indexed as

Dental AnxietyAdultCatastrophizationCluster AnalysisCross-Sectional StudiesDental CareFemaleHumansJapanMaleMiddle AgedOral HealthPatient Acceptance of Health CareSelf ReportSurveys and QuestionnairesBehavioral symptomsCluster analysisDental anxietyPain perceptionSensory thresholds

Identifiers

PMID41034939
PMCPMC12486690

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.