Article Data

  • Views 287
  • Dowloads 46

Original Research

Open Access

Time Courses of Myofascial Temporomandibular Disorder Complaints During a 12-Month Follow-up Period

  • Maurits K.A. van Selms1,*,
  • Frank Lobbezoo1
  • Machiel Naeije1

1Department of Oral Kinesiology Academic Centre for Dentistry, Amsterdam (ACTA) University of Amsterdam, Amsterdam, The Netherlands

DOI: 10.11607/ofph.23.4.11 Vol.23,Issue 4,December 2009 pp.345-352

Published: 30 December 2009

*Corresponding Author(s): Maurits K.A. van Selms E-mail: m.v.selms@acta.nl

Abstract

Aims: To investigate the time courses of myofascial temporomandibular disorder (TMD) pain and mandibular function impairment (MFI), and to identify predictive factors associated with these time courses. Methods: During a 12-month period following conservative TMD treatment, the time courses of myofascial TMD pain and pain-related disabilities were assessed by questionnaires. Ninety-six myofascial TMD patients participated, of whom 70 completed the study. Before treatment (baseline data), Characteristic Pain Intensity (CPI), MFI, parafunctional activities, and psychological status were assessed, and at completion of treatment and at 3, 6, 9, and 12 months, CPI and MFI were scored again. Individual time courses in scores were analyzed using linear growth modeling. Results: Baseline values of CPI had a positive correlation with CPI during follow-up (P = .002), whereas the influences of reported parafunctions and of pain elsewhere on CPI scores were close to significance (P = .058 and .06, respectively). Patients with a low somatization score showed a further decline in CPI during follow-up (P = .027), whereas patients with a high score showed a gradual increase (P = .030). Baseline values of MFI were positively correlated with MFI scores during the follow-up period (P = .000). The influence of reported parafunctions on MFI was not significant (P = .174), but that of pain elsewhere was (P = .004). The trend for a further decline in MFI values during follow-up was close to significance (P = .063) for patients with low somatization scores. Patients with high somatization scores showed a significant increase in MFI values (P = .007). Conclusion: Baseline reports of pain and impairment, oral parafunctional activities, pain elsewhere in the body, and somatization are associated with the severity and time course of myofascial TMD complaints following treatment.

Keywords

mandibular function impairment; myofascial TMD pain; prognosis; time course

Cite and Share

Maurits K.A. van Selms,Frank Lobbezoo,Machiel Naeije. Time Courses of Myofascial Temporomandibular Disorder Complaints During a 12-Month Follow-up Period. Journal of Oral & Facial Pain and Headache. 2009. 23(4);345-352.

References

1. de Leeuw R (ed). Orofacial Pain: Guidelines for Assessment, Diagnosis, and Management. Chicago: Quintessence, 2008:129–204.

2. Albert PS. Tutorial in biostatistics: Longitudinal data analysis (repeated measures) in clinical trials. Stat Med 1999;18:1707–1732.

3. Dworkin SF, LeResche L. Research diagnostic criteria for temporomandibular disorders: Review, criteria, examinations and specifications, critique. J Craniomandib Disord 1992;6:301–355.

4. Lobbezoo F, van Selms MK, John MT, et al. Use of the research diagnostic criteria for temporomandibular disorders for multinational research: Translation efforts and reliability assessments in the Netherlands. J Orofac Pain 2005;19:301–308.

5. Stegenga B, de Bont LG, de Leeuw R, Boering G. Assessment of mandibular function impairment associated with temporomandibular joint osteoarthrosis and internal derangement. J Orofac Pain 1993;7:183–195.

6. van der Meulen MJ, Lobbezoo F, Aartman IH, Naeije M. Self-reported oral parafunctions and pain intensity in temporomandibular disorder patients. J Orofac Pain 2006; 20:31–35.

7. Arindell WA, Ettema JHM. SCL-90, Handleiding bij een Multidimensionele Psychopathologie-indicator. Lisse, The Netherlands: Swets and Zeitlinger, 2003.

8. Derogatis LR, Cleary PA. Factorial invariance across gender for the primary symptom dimensions of the SCL-90. Br J Soc Clin Psychol 1977;16:347–356.

9. Singer JD, Willett JB. Applied Longitudinal Data Analysis. Modeling Change and Event Occurrence: Introducing the Multilevel Model for Change. London: Oxford University, 2003:45–74.

10. Von Korff M, Dworkin SF, Le Resche L, Kruger A. An epidemiologic comparison of pain complaints. Pain 1988;32:173–183.

11. Altman DG. Systematic reviews of evaluations of prognostic variables. Br Med J 2001;323:224-228.

12. Delucchi KL, Bostrom A. Methods for analysis of skewed data distributions in psychiatric clinical studies: Working with many zero values. Amer J Psych 2004;161:1159–1168.

13. Hox J. Analyzing Longitudinal Data. Multilevel Analysis: Techniques and Applications. London: Lawrence Erlbaum Associates, 2002:73–102.

14. Truelove E, Huggins KH, Mancl L, Dworkin SF. The efficacy of traditional, low-cost and nonsplint therapies for temporomandibular disorder: A randomized controlled trial. J Am Dent Assoc 2006;137:1099–1107.

15. Turner JA, Mancl L, Aaron LA. Short- and long-term efficacy of brief cognitive-behavioral therapy for patients with chronic temporomandibular disorder pain: A ran- domized, controlled trial. Pain 2006;121:181–194.

16. Dimitroulis G. Temporomandibular disorders: A clinical update. BMJ 1998;317:190–194.

17. Fricton JR. The relationship of temporomandibular disorders and fibromyalgia: Implications for diagnosis and treatment. Curr Pain Headache Rep 2004;8:355–363.

18. Drangsholt M, LeResche L. Temporomandibular disorder pain. In: Crombie IK (ed). The Epidemiology of Pain. Seattle, WA: IASP, 1999:203–233.

19. Lobbezoo F, Lavigne GJ. Do bruxism and temporomandibular disorders have a cause-and-effect relationship? J Orofac Pain 1997;11:15–23.

20. Suvinen TI, Reade PC, Kemppainen P, Könönen M, Dworkin SF. Review of aetiological concepts of temporomandibular pain disorders: Towards a biopsychosocial model for integration of physical disorder factors with psychological and psychosocial illness impact factors. Eur J Pain 2005;9:613–633.

21. Glaros AG, Williams K, Lausten L. The role of parafunctions, emotions, and stress in predicting facial pain. J Am Dent Assoc 2005;136:451–458.

22. Huang GJ, LeResche L, Critchlow CW, Martin MD, Drangsholt MT. Risk factors for diagnostic subgroups of painful temporomandibular disorders (TMD). J Dent Res 2002;81:284–288.

23. Winocur E, Littner D, Adams I, Gavish A. Oral habits and their association with signs and symptoms of temporomandibular disorders in adolescents: A gender comparison. Oral Surg Oral Med Oral Pathol Oral Radiol Endod 2006;102:482–487.

24. Storm C, Wänman A. A two-year follow-up study of temporomandibular disorders in a female Sami population: Validation of cases and controls as predicted by questionnaire. Acta Odontol Scand 2007;65:341–347.

25. van Selms MK, Lobbezoo F, Visscher CM, Naeije M. Myofascial temporomandibular disorder pain, parafunctions, and psychological stress. J Oral Rehab 2008;35: 45–52.

26. Camparis CM, Formigoni G, Teixeira MJ, Bittencourt LR, Tufik S, Siqueira JT. Sleep bruxism and temporomandibular disorder: Clinical and polysomnographic evaluation. Arch Oral Biol 2006;51:721–728.

27. Rossetti LM, Rossetti PH, Conti PC, de Araujo Cdos R. Association between sleep bruxism and temporomandibular disorders: A polysomnographic pilot study. Cranio 2008;26:16–24.

28. Rammelsberg P, LeResche L, Dworkin S, Mancl L. Longitudinal outcome of temporomandibular disorders: A 5-year epidemiologic study of muscle disorders defined by research diagnostic criteria for temporomandibular disorders. J Orofac Pain 2003;17:9–20.

29. Rollman GB, Gillespie JM. The role of psychosocial factors in temporomandibular disorders. Curr Rev Pain 2000;4:71–81.

Abstracted / indexed in

Science Citation Index (SCI)

Science Citation Index Expanded (SCIE)

BIOSIS Previews

Scopus

Cumulative Index to Nursing and Allied Health Literature (CINAHL)

Submission Turnaround Time

Conferences

Top