Validity and Reliability of the Turkish Version of Mandibular Function Impairment Questionnaire

References

• Michelotti A, de Wijer A, Steenks M, et al. Home‐exercise regimes for the management of non‐specific temporomandibular disorders. J Oral Rehabil. 2005;32(11):779–785.
   PubMed Web of Science ®Google Scholar
• Xu L, Cai B, Fang Z. Translation and validation of a Chinese version of the Mandibular Function Impairment Questionnaire. J Oral Rehabil. 2016;43(8):608–614.
   PubMed Web of Science ®Google Scholar
• Pedroni CR, De Oliveira AS, Guaratini MI. Prevalence study of signs and symptoms of temporomandibular disorders in university students. J Oral Rehabil. 2003;30(3):283–289.
   PubMed Web of Science ®Google Scholar
• de Resende CMBM, de Oliveira Medeiros FGL, de Figueiredo Rêgo CR, et al. Short-term effectiveness of conservative therapies in pain, quality of life, and sleep in patients with temporomandibular disorders: a randomized clinical trial. CRANIO®. 2021;39(4):335–343.
   PubMedGoogle Scholar
• Nekora‐Azak A, Evlioglu G, Ordulu M, et al. Prevalence of symptoms associated with temporomandibular disorders in a Turkish population. J Oral Rehabil. 2006;33(2):81–84.
   PubMed Web of Science ®Google Scholar
• Ozan F, Polat S, Kara I, et al. Prevalence study of signs and symptoms of temporomandibular disorders in a Turkish population. J Contemp Dent Pract. 2007;8(4):35–42. DOI:10.5005/jcdp-8-4-35.
   PubMedGoogle Scholar
• Ohrbach R, Granger C, List T, et al. Preliminary development and validation of the Jaw Functional Limitation Scale. Community Dent Oral Epidemiol. 2008;36(3):228–236.
   PubMed Web of Science ®Google Scholar
• Gonzalez YM, Schiffman E, Gordon SM, et al. Development of a brief and effective temporomandibular disorder pain screening questionnaire: reliability and validity. J Am Dent Assoc. 2011;142(10):1183–11891.
   PubMed Web of Science ®Google Scholar
• Kaynak BA, Taş S, Salkın Y. The accuracy and reliability of the Turkish version of the Fonseca anamnestic index in temporomandibular disorders. CRANIO®. 2020;1–6. Online ahead of print. DOI:10.1080/08869634.2020.1812808
   Google Scholar
• Stegenga B, de Bont LG, de Leeuw R, et al. Assessment of mandibular function impairment associated with temporomandibular joint osteoarthrosis and internal derangement. J Orofac Pain. 1993;7(2):183–195.
   PubMedGoogle Scholar
• De Laat A, Stappaerts K, Papy S. Counseling and physical therapy as treatment for myofascial pain of the masticatory system. J Orofac Pain. 2003;17(1):42–49.
   PubMedGoogle Scholar
• Craane B, Dijkstra PU, Stappaerts K, et al. One‐year evaluation of the effect of physical therapy for masticatory muscle pain: a randomized controlled trial. Eur J Pain. 2012;16(5):737–747.
   PubMed Web of Science ®Google Scholar
• Bonini JAD, Campos DDS, Carrascosa AC, et al. Epidemiology of severity of temporomandibular disorders in Brazilian women. J Oral Facial Pain Headache. 2014;28(2):147–152.
   PubMed Web of Science ®Google Scholar
• Sudheesh KM, Rajendra D, Siva Bharani KSN, et al. Assessment of mandibular function using mandibular function impairment questionnaire after closed treatment of unilateral mandibular condyle fractures. Int J Oral Health Med Res. 2016;3(1): 28–30
   Google Scholar
• Campos JADB, Carrascosa AC, Maroco J. Validity and reliability of the Portuguese version of Mandibular Function Impairment Questionnaire. J Oral Rehabil. 2012;39(5):377–383.
   PubMed Web of Science ®Google Scholar
• Schiffman E, Ohrbach R, Truelove E, et al. Diagnostic Criteria for Temporomandibular Disorders (DC/TMD) for clinical and research applications: recommendations of the International RDC/TMD Consortium Network and Orofacial Pain Special Interest Group. J Orofac Pain. 2014;28(1):6–27.
   Google Scholar
• Lawshe CH. A quantitative approach to content validity. Pers Psychol. 1975;28(4):563–575.10.1111/j.1744-6570.1975.tb01393.x
   Web of Science ®Google Scholar
• Ayre C, Scally AJ. Critical values for Lawshe’s content validity ratio: revisiting the original methods of calculation. Meas Eval Couns Dev. 2014;47(1):79–86.
   Web of Science ®Google Scholar
• Kline RB. Principles and practice of structural equation modeling. 4th ed. New York (NY): Guilford Press; 2015.
   Google Scholar
• Hu LT, Bentler PM. Cutoff criteria for fit indexes in covariance structure analysis: conventional criteria versus new alternatives. Struct Equ Modeling. 1999;6(1):1–55.
   Web of Science ®Google Scholar
• Hooper D, Coughlan J, Mullen MR. Structural equation modelling: guidelines for determining model fit. Electron J Bus Res Methods. 2008;6(1):53–60. DOI:10.1037/1082-989X.12.1.58.
   Web of Science ®Google Scholar
• Marsh HW, Hocevar D. Application of confirmatory factor analysis to the study of self-concept: first-and higher order factor models and their invariance across groups. Psychol Bull. 1985;97(3):562–582.
   Web of Science ®Google Scholar
• Hinkle DE, Wiersma W, and Jurs SG. Applied statistics for the behavioral sciences. 5th ed. Boston (MA): Houghton Mifflin Co.; 2003.
   Google Scholar
• Fornell C, Larcker DF. Evaluating structural equation models with unobservable variables and measurement error. J Mark Res. 1981;18(1):39–50.
   Web of Science ®Google Scholar
• Hair JF, Black WC, Babin B, et al. Multivariate data analysis. 6th ed. Upper Saddle River (NJ): Prentice Hall, Inc.; 2005.
   Google Scholar
• Cronbach LJ. Coefficient alpha and the internal structure of tests. Psychometrika. 1951;16(3):297–334.
   Web of Science ®Google Scholar
• Koo TK, Li MY. A guideline of selecting and reporting intraclass correlation coefficients for reliability research. J Chiropr Med. 2016;15(2):155–163.
   PubMed Web of Science ®Google Scholar
• RStudio Team. RStudio: integrated Development Environment for R. RStudio, PBC, Boston (MA): 2020. Available from: http://www.rstudio.com. ( Accessed 2021 Apr 20
   Google Scholar
• Rosseel Y. lavaan: an R Package for Structural Equation Modeling. J Statistical Software. 2012;48(2):1–36. DOI:10.18637/jss.v048.i02.
   Web of Science ®Google Scholar
• Epskamp S. semPlot: path diagrams and visual analysis of various SEM packages’ output. R package version 1.1.2. 2019. Available from: https://CRAN.R-project.org/package=semPlot. ( Accessed 2021 Apr 20
   Google Scholar
• Pimenta E Silva Machado L, de Góis Nery C, Rodrigues LC, et al. The prevalence of clinical diagnostic groups in patients with temporomandibular disorders. CRANIO®. 2009;27(3):194–199.
   Web of Science ®Google Scholar
• Katyayan PA, Katyayan MK. Effect of smoking status and nicotine dependence on pain intensity and outcome of treatment in Indian patients with temporomandibular disorders: a longitudinal cohort study. J Indian Prosthodont Soc. 2017;17(2):156–166.
   PubMedGoogle Scholar
• Melis M, Lobo SL, Ceneviz C, et al. Effect of cigarette smoking on pain intensity of TMD patients: a pilot study. CRANIO®. 2010;28(3):187–192.
   Web of Science ®Google Scholar