Evidence map›Paper›PMID 42316894›Full record

ArticleJournal of oral rehabilitation2026

Revealing the Latent Structure of the Oral Behaviours Checklist: Integrating Bayesian Factor Analysis and Network Analysis.

Yunhao Zheng, Adrian Ujin Yap, Na Li, Shiya Zeng, Ming Yang, Chenlu Liu, Jun Wang, Xin Xiong

Abstract read
In one paragraph

Article in Journal of oral rehabilitation, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited 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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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Yunhao ZhengState Key Laboratory of Oral Diseases, National Centre for Stomatology, and National Clinical Research Centre for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, Sichuan, China.ORCID https://orcid.org/0000-0002-4906-2830
Adrian Ujin YapDivision of Dentistry, Ng Teng Fong General Hospital and Faculty of Dentistry, National University Health System, Singapore.ORCID https://orcid.org/0000-0003-0361-6209
Na LiWest China School of Medicine, Sichuan University, Chengdu, Sichuan, China.
Shiya ZengState Key Laboratory of Oral Diseases, National Centre for Stomatology, and National Clinical Research Centre for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, Sichuan, China.
Ming YangState Key Laboratory of Oral Diseases, National Centre for Stomatology, and National Clinical Research Centre for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, Sichuan, China.
Chenlu LiuState Key Laboratory of Oral Diseases, National Centre for Stomatology, and National Clinical Research Centre for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, Sichuan, China.
Jun WangState Key Laboratory of Oral Diseases, National Centre for Stomatology, and National Clinical Research Centre for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, Sichuan, China.ORCID https://orcid.org/0000-0002-9040-6295
Xin XiongState Key Laboratory of Oral Diseases, National Centre for Stomatology, and National Clinical Research Centre for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, Sichuan, China.ORCID https://orcid.org/0000-0003-2175-0970

Funding

Clinical Research Project of West China Hospital of Stomatology, Sichuan University LCYJ-2023-YY-2National Natural Science Foundation of China 82301129Sichuan Province Science and Technology Support Program 2023NSFSC0556
6 · The paper itself

Abstract

backgroundThe Oral Behaviours Checklist (OBC) is widely used, but its latent structure remains unclear. This study was designed to clarify its latent structure and to identify common factors and isolated items relevant to TMD assessment.

methodsA cross-sectional study of 1014 patients with TMD (79.1% female; median age, 25.0 years) was conducted. The waking-state OBC's structure was examined using Bayesian exploratory factor analysis (EFA) and validated by confirmatory factor analysis (CFA). Network analysis was used to identify central and isolated items and to examine bridging connections with depression, anxiety, jaw function, and oral health-related quality of life.

resultsBayesian EFA revealed a robust five-factor structure for the waking-state OBC: (1) Awake Bruxism, (2) Jaw Posturing, (3) Oral Manipulation, (4) Jaw Bracing, and (5) Functional Behaviours. This structure was supported by sensitivity analyses and demonstrated good fit in CFA (CFI = 0.943, TLI = 0.919, RMSEA = 0.050, SRMR = 0.044). Network analysis identified three isolated items. Only the Awake Bruxism factor was significantly associated with pain-related TMD and pain intensity. Cross-scale network analysis showed the Oral Manipulation factor was a central bridge to depression, while Awake Bruxism items bridged to anxiety, jaw dysfunction, and reduced oral health-related quality of life.

conclusionThe waking-state OBC exhibits a five-factor structure, with three isolated items that should be evaluated separately. For clinical efficiency, focusing on the core 'Awake Bruxism' items is justified, whereas factor-specific scoring is recommended in research to capture the heterogeneity of oral behaviours.

Indexed as

BruxismChecklistFacial PainTemporomandibular Joint DisordersAdultBayes TheoremCross-Sectional StudiesFactor Analysis, StatisticalFemaleHumansMaleOral HealthQuality of LifeSurveys and QuestionnairesAwake BruxismBayesian factor analysisnetwork analysisoral behaviourstemporomandibular disorders

Identifiers

PMID42316894
PMCPMC13583371

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