A Classification Tree to Identify Factors Affecting Temporomandibular Disorders

Yıl 2021, , 98 - 103, 01.05.2021

Ayşe Özcan Küçük , Utku Nezih Yılmaz , Bilal Ege , Mahmut Koparal , Eda Didem Yalçın , Fatih Üçkardeş

https://doi.org/10.19127/bshealthscience.846887

Öz

To examine the effects of stress, bruxism, malocclusion, and oral habits on the incidence of temporomandibular disorders (TMDs) using a classification tree method (CTM). We obtained data from a total of 1.338 patients: 669 who had TMDs and 669 who but haven’t TMDs. We recorded interview data on stress and oral habits, and during oral examination, noted malocclusions, bruxism, and any sign of poor oral habits. All data were subjected to CTM analyses. The TMD rate was highest in stressed patients (96.8%), and significantly lower in stress-free patients (25.3%) (P < 0.001). TMD was evident in all patients exhibiting both stress and bruxism (100.0%). In stressed patients lacking bruxism, the effects of malocclusion on TMD were significant (P < 0.001). CTM analyses showed that the most significant factor affecting TMD was stress, followed by bruxism and malocclusion. This is the first report to use CTM to define factors affecting TMD.

Anahtar Kelimeler

Bruxism, Classification tree method, Data mining, Stress, Temporomandibular disorders

Kaynakça

• Al-Ani MZ, Davies SJ, Gray RJM, Sloan P, Glenny AM. 2004. Stabilisation splint therapy for temporomandibular pain dysfunction syndrome. Cochrane Database Syst Rev, 1: CD002778.
• Arino M, Ito A, Fujiki S, Sugiyama S, Hayashi M. 2016. Multicenter study on caries risk assessment in adults using survival classification and regression trees. Sci Rep, 6: 29190.
• Barlin JN, Zhou Q, St Clair CM, Iasonos A, Soslow RA, Alektiar KM, Hensley ML, Jr. Leitao MM, Barakat RR, Abu-Rustum NR. 2013. Classification and regression tree (CART) analysis of endometrial carcinoma: Seeing the forest for the trees. Gynecol Oncol, 130: 452-456.
• Camdeviren HA, Yazici AC, Akkus Z, Bugdayci R, Sungur MA. 2007. Comparison of logistic regression model and classification tree: An application to postpartum depression data. Expert Sys App, 32: 987-994.
• Castelo PM, Gaviao MB, Pereira LJ, Bonjardim LR. 2005. Relationship between oral parafunctional/nutritive sucking habits and temporomandibular joint dysfunction in primary dentition. Int J Paediatr Dent, 15: 29-36.
• Chang LY, Wang HW. 2006. Analysis of traffic injury severity: An application of non-parametric classification tree techniques. Acc Anly Prev, 38: 1019-1027.
• Chisnoiu AM, Picos AM, Popa S, Chisnoiu DP, Lascu L, Picos A, Chisnoiu R. 2015. Factors involved in the etiology of temporomandibular disorders: A literature review. Clujul Med, 88: 473-478.
• Cortese SG, Biondi AM. 2009. Relationship between dysfunctions and parafunctional oral habits, and temporomandibular disorders in children and teenagers. Arch Argent Pediatr, 107: 134-138.
• D’Alisa S, Miscio G, Baudo S, Simone A, Tesio L, Mauro A. 2006. Depression is the main determinant of quality of life in multiple sclerosis: A classification regression (CART) study. Disabil Rehabil, 28: 307-314.
• Deleeuw R, Bertoli E. 2005. Prevalence of traumatic stressor in patient with temporomandibular disorders. J Oral Maxillofac Surg, 63: 42-50.
• Egermark I, Magnusson T, Carlsson GE. 2003. A 20-year follow-up of signs and symptoms of temporomandibular disorders and malocclusions in subjects with and without orthodontic treatment in childhood. Angle Orthod, 73: 109-115.
• Filho J, Manzi FR, de Freitas DQ, Bóscolo NF, de Almeida MS. 2007; Evaluation of temporomandibular joint in stress-free patients. Dentomaxillofac Radiol, 36: 336-340.
• Flannery B, Wisniewski SR. 2016. Classification and Regression Tree [CART] analysis to predict influenza in primary care patients. BMC Infect Dis, 16: 503-513.
• Fonarow GC, Adams KFJr, Abraham WT, Yancy CW, Boscardin WJ. 2005. Risk stratification for in-hospital mortality in acutely decompensated heart failure: Classification and regression tree analysis. JAMA, 293: 572-580.
• Gavish A, Halachmi M, Winocur E, Gazit E.2000. Oral habits and their association with signs and symptoms of temporomandibular disorders in adolescent girls. J Oral Rehabil, 27: 22-32.
• Hebert M, Collin-Vezina D, Daigneault I, Parent N, Tremblay C. 2006. Factors linked to outcomes in sexually abused girls: a regression tree analysis. Comp Psych, 47: 443-455.
• Ito A, Hayashi M, Hamasaki T, Ebisu S. 2011. Risk assessment of dental caries by using classification and regression trees. J Dent, 39: 457-463.
• Kanehira H, Agariguchi A, Kato H, Pozveh ZE, Jahangirmoghaddam M. 2008. Association between stress and temporomandibular disorder. Nihon Hotetsu Shika Gakkai Zasshi, 52: 375-380.
• Kantardzic M. 2003. Data mining: Concepts, models, methods, and algorithms, 2nd ed. John Wiley & Sons, NewYork, USA.
• Leite RA, Rodrigues JF, Sakima MT, Sakima T. 2013. Relationship between temporomandibular disorders and orthodontic treatment: A literature review. Dental Press J Orthod, 18: 150-157.
• List T, Stenstrom B, Lundstrom I, Dworkin FS. 1999. TMD in patients with primary Sjogren syndrome: A comparison with temporomandibular clinic cases and controls. J Orofac Pain, 13: 21-28.
• List T, Wahlund K, Larsson B. 2001. Psychosocial functioning and dental factors in adolescents with temporomandibular disorders: A case-control study. J Orofac Pain, 15: 218-227.
• Luther F, Layton S, McDonald F. 2016. Orthodontics for treating temporomandibular joint (TMJ) disorders. Cochrane Database Syst Rev, 7: CD006541.
• Machuca C, Vettore MV, Krasuska M, Baker SR, Robinson PG. 2017. Using classification and regression tree modelling to investigate response shift patterns in dentine hypersensitivity. BMC Med Res Methodol, 17: 120-130.
• Matsuka Y, Yatan H, Kuboki T. 2008. Temporomandibular disorders in the adult population. J Am Dent Assoc, 24: 158-162.
• McNamara Jr JA, Seligman DA, Okeson JP. 1995 Occlusion, orthodontic treatment, and temporomandibular disorders: A review. J Orofacial Pain, 9: 73-90.
• Melchior MO, Mazzetto MO, Felício CM. 2012. Temporomandibular disorders and parafunctional oral habits: An anamnestic study. Dental Press J Orthod, 17: 83-89.
• Michelotti A, Cioffi I, Festa P, Scala G, Farella. 2010. Oral parafunctions as risk factors for diagnostic TMD subgroups. J Oral Rehabil, 37: 157-162.
• Mottaghi A, Razavi SM, Pozveh EZ, Jahangirmoghaddam M. 2011. Assessment of the relationship between stress and temporomandibular joint disorder in female students before university entrance exam (Konkour exam). Dent Res J (Isfahan), 8: 76-79.
• Mujakperuo HR, Watson M, Morrison R, Macfarlane VT. 2010. Pharmacological interventions for pain in patients with temporomandibular disorders. Cochrane Database Syst Rev, 10: CD004715.
• Patel RB, Mathur MB, Gould M, Uyeki TM, Bhattacharya J, Xiao Y, Khazeni N. 2014. Demographic and clinical predictors of mortality from highly pathogenic avian influenza A (H5N1) virus infection: CART analysis of international cases. PLoS One. 25(9): e91630.
• Pullinger AG, Seligman DA. 2000. Quantification and validation of predictive values of occlusal variables in temporomandibular disorders using a multifactorial analysis. J Prosthet Dent, 83: 66-75.
• Pullinger AG, Seligman DA, Gornbein JA. 1993. A multiple regression analysis of risk and relative odds of temporomandibular disorders as a function of common occlusal features. J Dent Res, 72: 968-979.
• Rosenfeld B, Lewis C. 2005. Assessing violence risk in stalking cases: A regression tree approach. Law Hum Behav, 29: 343-357.
• Sato F, Kino K, Sugisaki M, Haketa A, Amemori Y, Ishikawa T, Shibuya T, Amagasa T, Shibuya T, Tanabe H, Yoda T, Sakamoto I, Omura K, Miyaoka H. 2006. Teeth contacting habit as a contributing factor to chronic pain in patients with temporomandibular disorders. J Med Dent Sci, 53: 103-109.
• Scrivani SJ, Keith DA, Kaban LB. 2008. Temporomandibular disorders. N Engl J Med, 359: 2693-2705.
• Tagkli A, Paschalidi P, Katsadouris A, Tsolakis IA. 2017. Relationship between orthodontics and temporomandibular disorders. Balk J Dent Med, 21: 127-132.
• Uhac I, Kovac Z, Valentic-Peruzovic M, Juretić M, Moro LJ, Grzić R. 2003. The influence of war stress on the prevalence of signs and symptoms of temporomandibular disorders. J Oral Rehabil, 30: 211-217.
• Van den Broek AM, Feenstra L, De Baat C. 2007. A review of the current literature on aetiology and measurement methods of halitosis. J Dent, 35: 627-635.
• Vanderas AP, Papagiannoulis L. 2002. Multifactorial analysis of the aetiology of craniomandibular dysfunction in children. Int J Paediatr Dent, 12: 336-346
• Vayssières MP, Plant RE, Allen-Diaz BH. 2000. Classification trees: An alternative non-parametric approach for predicting species distributions. J Veg Sci, 11: 679-694.
• Widmalm SE, Christiansen RL, Gunn SM. 1995. Oral parafunctions as temporomandibular disorder risk factors in children. Cranio, 13: 242-246.
• Yamauchi K, Ono Y, Baba K, Ikegami N. 2001. The actual process of rating the global assessment of functioning scale. Compr Psychiatry, 42: 403-409.
• Zimmerman RK, Balasubramani GK, Nowalk MP, Eng H, Urbanski L, Jackson ML, Jackson LA, McLean HQ, Belongia EA, Monto AS, Malosh RE, Gaglani M, Clipper L, Flannery B, Wisniewski SR. 2016. Classification and regression tree [CART] analysis to predict influenza in primary care patients. BMC Infect Dis, 16: 503-513.