» Articles » PMID: 28460710

Factor and Rasch Analysis of the Fonseca Anamnestic Index for the Diagnosis of Myogenous Temporomandibular Disorder

Overview
Date 2017 May 3
PMID 28460710
Citations 13
Authors
Affiliations
Soon will be listed here.
Abstract

Background: Rasch analysis has been used in recent studies to test the psychometric properties of a questionnaire. The conditions for use of the Rasch model are one-dimensionality (assessed via prior factor analysis) and local independence (the probability of getting a particular item right or wrong should not be conditioned upon success or failure in another).

Objective: To evaluate the dimensionality and the psychometric properties of the Fonseca anamnestic index (FAI), such as the fit of the data to the model, the degree of difficulty of the items, and the ability to respond in patients with myogenous temporomandibular disorder (TMD).

Methods: The sample consisted of 94 women with myogenous TMD, diagnosed by the Research Diagnostic Criteria for Temporomandibular Disorders (RDC/TMD), who answered the FAI. For the factor analysis, we applied the Kaiser-Meyer-Olkin test, Bartlett's sphericity, Spearman's correlation, and the determinant of the correlation matrix. For extraction of the factors/dimensions, an eigenvalue >1.0 was used, followed by oblique oblimin rotation. The Rasch analysis was conducted on the dimension that showed the highest proportion of variance explained.

Results: Adequate sample "n" and FAI multidimensionality were observed. Dimension 1 (primary) consisted of items 1, 2, 3, 6, and 7. All items of dimension 1 showed adequate fit to the model, being observed according to the degree of difficulty (from most difficult to easiest), respectively, items 2, 1, 3, 6, and 7.

Conclusion: The FAI presented multidimensionality with its main dimension consisting of five reliable items with adequate fit to the composition of its structure.

Citing Articles

The synergism of occlusal splints along with therapeutic exercise on individuals with temporomandibular joint disorders - A pilot study.

Bachani T, Raza F, Vaidyanathan A J Indian Prosthodont Soc. 2025; 25(1):52-58.

PMID: 39750009 PMC: 11853946. DOI: 10.4103/jips.jips_373_24.


Impact of Fear of COVID-19, Depression, Anxiety and Stress on Temporomandibular Disorders in Peruvian Dental Students in the Post-Pandemic Period: A Multivariable Regression Analysis.

Castro-Mena M, Huamani-Echaccaya J, Yarasca-Berrocal E, Ladera-Castaneda M, Castro-Rojas M, Aroste-Andia R J Clin Med. 2024; 13(15).

PMID: 39124676 PMC: 11313219. DOI: 10.3390/jcm13154410.


Temporomandibular disorder and somatic symptoms: Relations to 'fear of missing out' and other negative emotional states.

Yap A, Kurniawan F, Pragustine Y, Marpaung C Acta Odontol Scand. 2024; 83:340-347.

PMID: 38804261 PMC: 11302401. DOI: 10.2340/aos.v83.40776.


The Physical Symptom Scale-8: Psychometric Characteristics of a Short-Form Version of the PHQ-15 and its Use in TMD-Related Assessment and Research.

Yap A, Lee D, Tan S J Oral Facial Pain Headache. 2023; 37(3):159-165.

PMID: 37698952 PMC: 10664702. DOI: 10.11607/ofph.3187.


Patient-Reported Outcome Measures Used in Temporomandibular Disorders: A Review of the Literature.

Taimeh D, Riordain R, Fedele S, Leeson R J Oral Facial Pain Headache. 2023; 37(2):113-129.

PMID: 37389838 PMC: 10642334. DOI: 10.11607/ofph.3264.


References
1.
Velly A, Schiffman E, Rindal D, Cunha-Cruz J, Gilbert G, Lehmann M . The feasibility of a clinical trial of pain related to temporomandibular muscle and joint disorders: the results of a survey from the Collaboration on Networked Dental and Oral Research dental practice-based research networks. J Am Dent Assoc. 2013; 144(1):e1-10. PMC: 3539212. DOI: 10.14219/jada.archive.2013.0022. View

2.
Conrad K, Smith Jr E . International conference on objective measurement: applications of Rasch analysis in health care. Med Care. 2004; 42(1 Suppl):I1-6. DOI: 10.1097/01.mlr.0000103527.52821.1c. View

3.
Bevilaqua-Grossi D, Chaves T, de Oliveira A, Monteiro-Pedro V . Anamnestic index severity and signs and symptoms of TMD. Cranio. 2006; 24(2):112-8. DOI: 10.1179/crn.2006.018. View

4.
Gibbons C, Mills R, Thornton E, Ealing J, Mitchell J, Shaw P . Rasch analysis of the hospital anxiety and depression scale (HADS) for use in motor neurone disease. Health Qual Life Outcomes. 2011; 9:82. PMC: 3192662. DOI: 10.1186/1477-7525-9-82. View

5.
Forkmann T, Gauggel S, Spangenberg L, Brahler E, Glaesmer H . Dimensional assessment of depressive severity in the elderly general population: psychometric evaluation of the PHQ-9 using Rasch Analysis. J Affect Disord. 2013; 148(2-3):323-30. DOI: 10.1016/j.jad.2012.12.019. View