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Sleep bruxism in adolescents: a systematic literature review of related risk factors

Updated: Aug 4, 2023


Published: 15 February 2016



Introduction


Bruxism is a repetitive jaw-muscle activity characterized by clenching or grinding of the teeth and/or by bracing or thrusting of the mandible with circadian manifestations (i.e. sleep or awake bruxism) (1, 2). Sleep bruxism (SB) is a sleep-related motor disorder with several detrimental consequences on the craniofacial complex, including tooth wear, masticatory muscle tenderness and pain, headache, and temporomandibular disorders (TMDs) (3, 4). Prevalence of SB is the highest in childhood at approximately 14–20% (5). It stabilizes at around 8–12% in teenagers and adults and decreases to 3% with aging without gender differences (6). Literature about SB is wide but fragmentary about different age stages and risk factors. As stated by the World Health Organization (WHO) a risk factor is defined as any attribute, characteristic or exposure of an individual that increases the likelihood of developing a disease or injury (7). Different risk factors have been associated to SB, however, there are still many unsolved issues concerning the etiology of SB that have consequences on the clinical management strategies. A higher percentage of SB was found in male adolescents with crowding (38%) (8). Relationship between SB and malocclusion has been investigated for a long time but is still poorly understood (9). Although some dentists suggest that malocclusion may cause SB, a recent review concluded that there is no evidence for a causal relationship between SB and occlusion (9). The etiology of SB is broad and non-specific and thus no single definitive explanation could be provided (10).


The onset of SB episodes during sleep is under the influence of the brainstem arousal-reticular ascending system contributing to the increase of activity and autonomic-cardiac neuronal networks (3). While the presence of SB is a consequence of transient arousal, apnea/hypopnea events induce arousals (11). The association between SB and obstructive sleep apnea syndrome (OSAS) has been claimed (12, 13). However, even if the phenomena are arousals related, apnea events do not induce SB events but only low-to moderate tonic contractions of the masseter muscles (11). Thus, SB and OSAS could not share a common origin but could share a common consequence, since both of them could contribute to painful TMDs via the mechanical overload-induced post-exercise muscle soreness (14–16).


In a recent study, Fernandes et al. (17) showed that painful TMD have a prevalence of 25.5% in a sample of European adolescents and that TMD pain was associated with SB [odds ratio (OR): 1.8]. The same prevalence was reported for a sample of Brazilian adolescents with a significant association between SB and TMD pain (OR: 2.02) (18). Signs and symptoms of TMD occur in healthy individuals and increase with age, particularly during adolescence (19). Considering that adolescents represent the majority of orthodontic patients and that SB is associated to painful TMDs the present systematic review was undertaken to answer the following clinical research questions in adolescents aged from 11 to 19 years suffering from SB:


· Which are the identified risk factors for SB in adolescents?


· Which is the weight of each risk factor?


Materials and methods


The protocol for this systematic review (CRD42015029241) was registered in the International Prospective Register of Systematic Review (http://www.crd.york.ac.uk/PROSPERO).


On 12 October 2015, a systematic search in the medical literature was performed in order to identify all peer-reviewed articles investigating risk factors related to SB in adolescents aged from 11 to 19 years. The selection procedure was thoroughly described through a detailed flow chart, according to the Preferred Reporting Items for Systematic Reviews and Meta-analyses guidelines (PRISMA) statement and according to guidelines from the Cochrane handbook for systematic reviews of interventions (20, 21) (Figure 1).


Figure 1.


Figure 1: Flow diagram
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Flow diagram.


In order to retrieve lists of potential articles to be included in the review, the search strategy illustrated in Table 1 was used in the following databases: PubMed, Embase, Scopus, Cochrane Oral Health Group’s Trial Register and Cochrane Register of Controlled Trials, Web of Science, LILACs and SciELO. Title and abstract (TIAB) screening was performed to select articles for full text retrieval. The inclusion and exclusion criteria for admittance in the systematic review were based on the type of study, were dependent on the clinical research questions, and are reported in Table 2. Duplicate articles were removed and the studies were selected for inclusion independently by two of the authors (AB and GR). Disagreements were solved by consensus. The population intervention comparator outcomes (PICO) approach was used to extract data from the included articles independently and in duplicate by two review authors (TC and GR) (22). The authors of the selected articles were contacted to clarify any relevant article queries. The primary outcome was represented by risk factors for SB in adolescents.


Table 1.


Search strategy.


Table 1: Search strategy.
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Table 2.


Study selection criteria.

Table 2: Study selection criteria.
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According to the PRISMA statements and to the CRD (Centre for Reviews and Dissemination, University of York) the evaluation of methodological quality gives an indication of the strength of evidence provided by the study because flaws in the design or in the conduction of a study can result in biases (20, 23). However, no single approach for assessing methodological soundness is appropriate to all systematic reviews (21). The grading of recommendations assessment, development and evaluation criteria (GRADE), are widely adopted by several authors and organizations throughout the world to assess the overall quality and the risk of bias level in a systematic review (24). In order to rate the extent of agreement among data collectors, Kappa statistics were performed (25). Detailed quality assessment and reliability coefficient are illustrated in Table 3.


Table 3.


Quality assessment according to simplified GRADE checklist.


Table 3:  Quality assessment according to simplified GRADE checklist.
Courtesy of ejo/article/39/1/61/2629521

Risk of bias. From left to right were reported GRADE checklist point, source and year of publication and percentage of agreement. In the last column was reported the inter-rater reliability, showing a 94% agreement in the ratings given by reviewers. Inter-reliability or concordance is the degree of agreement among raters. It gives a score of how much homogeneity, or consensus, there is in the ratings given by reviewers.




Statistical analysis


Statistical analysis was performed using the R statistical package (version 3.0.1, R Core Team, Foundation for Statistical Computing, Vienna, Austria). To improve the power of risk factors estimates associated with SB symptoms, articles in which a multiple regression analysis was performed (adjusted for variables statistically associated with SB symptoms) were selected for the review process. Several data extracted from the selected studies were processed in order to obtain either suitable data for the analysis or for presentation in an evidence table; only statistically significant risk factors were included (P value < 0.05).


The primary outcomes were risk factors associated to SB in adolescents, calculated as the standardized OR effect size. This effect size was the result of the OR differences between sleep bruxers and controls. Each OR was then weighted by the inverse of its variance and adjusted for small sample bias.


Non-overlapping 95% confidence interval (CI) was considered statistically significant. Based on recommendations of the Cochrane Collaboration (20), one author (GC) converted the standardized relative risk into a natural log OR. In order to be considered eligible for the final review process, articles had to include OR analysis for investigated risk factors.


Empirical evidence suggests that relative effect measures are, on average, more consistent than absolute measures (26, 27). OR is the main way to quantify how strongly the presence or absence of a risk factor is associated with the presence or absence of a disease in a given population.


Results


The search strategy yielded four relevant publications. All selected studies were cross-sectional and randomized (28–31). The article selection process is illustrated in the PRISMA flow diagram (Figure 1). Sample size in individual studies ranged from 278 to 98.411 subjects, with a total of 114.639 subjects. Mean age in the evaluated samples ranged from 11 to 19 years. In all the included studies, SB patients were identified by using specific questionnaires following the diagnostic criteria of the American Academy of Sleep Medicine (AASM) (32).Only one author used clinical examination and specific questionnaires (28). Table 4 summarizes the characteristics of each of the four included studies.


Table 4.


Characteristics of included studies: risk factors associated with SB symptoms.


Table 4:  Characteristics of included studies: risk factors associated with SB symptoms
Courtesy of ejo/article/39/1/61/2629521

Risk factors associated with SB symptoms. From left to right were reported source and year of publication, trial type and sample size, age range, risk factors, SB diagnostic means and outcome points.



Quality analysis


According to the GRADE guidelines, among the selected sample, the methodological quality was moderate/almost perfect for all studies (28–31). The inter-rater reliability or the percentage of agreement among the selected article reviewers accordingly to the simplified GRADE checklist, was almost perfect (94%) (Table 3). The most important sources of bias were the absence of allocation concealment and the lack of adequate blinding procedures for all included studies.


Study results


Table 5 summarizes the results of each article reviewed, by the type of study and risk factor analyzed.


Table 5.


Summary of results: risk factors associated with SB symptoms.


Table 5:  Summary of results: risk factors associated with SB symptoms
Courtesy of ejo/article/39/1/61/2629521

Risk factors associated with SB symptoms. From left to right were reported source and year of publication, author conclusions, sample size (bruxers and control groups) and level of significance for each outcome point. Snoring, jaw muscle fatigue, tooth wear, daytime sleepiness and frequent headache were significantly associated to SB onset in adolescents.



The four articles included in the review examined effects of various risk factors on SB: lifestyle (29), sleep status (28, 29, 31), depressive and stressed status (29, 30, 31), grade (29), tooth wear (28), sleep disordered breathing (28, 31), TMDs (28, 30), socio-demographic information and ethnic background (30, 31), orthodontic treatment (30), and smoke and alcohol intake (30). Table 6 shows the results of the review process.


Table 6.


Effect size by descending order.


Table 6:  Effect size by descending order.
Courtesy of ejo/article/39/1/61/2629521

Significant results of included studies. From left to right were reported source and year of publication, risk factors and effect sizes. The effect size was the result of the OR differences between bruxers and controls. OR is the main way to quantify how strongly the presence or absence of a risk factor is associated with the presence or absence of a disease in a given population. For each risk factor was reported the 95% confidence interval. Snoring showed the greater relationship, while Posterior crossbite showed the lower relationship with SB symptoms.



Patients snoring every night presented the strongest association with SB (OR: 12.6; 95% CI: 11–14.4) although OSAS showed mild association (OR: 1.8; 95% CI: 1.2–2.6). High association with SB was found for frequent headache (OR: 4.3; 95% CI: 1.4–12.9) and bad sleep hygiene: daytime sleepiness (OR: 7.4; 95% CI: 1.6–33.6), feeling unrefreshed at awakening (OR: 3.4; 95% CI: 1.5–7.7) and difficulty in waking up (OR: 3.3; 95% CI: 1.5–7.2), although patients reporting nocturnal awakenings showed mild association (OR: 1.4; 95% CI: 1.2–1.6). Other important risk factors for SB were jaw muscle fatigue (OR: 10.5; 95% CI: 2.4–45.2) together with tooth wear (OR: 8.8; 95% CI: 2.5–30.8), although jaw pain showed mild association (OR: 1.5; 95% CI: 1.2–1.9). Uncomfortable occlusion (OR: 2.5; 95% CI: 1.2–5) and dental Class II malocclusion (OR: 2; 95% CI: 1.1–3.8) showed moderate association with SB, although the presence of posterior crossbite showed weak relationship with SB symptoms (OR: 0.4; 95% CI: 0.2–0.9). Smoke (OR: 1.5; 95% CI: 1.3–1.8) showed moderate association with SB, while alcohol intake (OR: 1.2; 95% CI: 1.1–1.4) showed weak association. Depressive status (OR 1.4; 95% CI: 1.1–1.7) showed mild association with SB. Female subjects presented mild association (OR: 1.5; 95% CI: 1.4–1.6) with SB.


Discussion


The present review evaluated the existing literature related to risk factors and SB symptoms in adolescent population (age 11–19 years).


Accordingly to the GRADE tool (24), the quality of evidences emerging from the selected articles was excellent. The analysis of possible sources of bias revealed the lack of some methodological features: a limitation of all studies was represented by allocation concealment and lack of adequate blinding procedures for all included studies.


The systematic review of the existing scientific literature confirmed a probable multifactorial model for SB. Sleep disturbances, and snoring in particular, headache, jaw muscle fatigue and tooth wear seem to be associated to SB in adolescents from 11 to 19 years old.


The association of SB and sleep disturbances appeared to be stronger for snoring than for any other disorder (28, 29). Subjects reporting snoring every night had a very strong association with SB (OR: 12.6; 95% CI: 11–14.4). Bad sleep hygiene seems to be a high risk factor for SB, considering that patients with daytime sleepiness, feeling not refreshed in the morning, frequent headache and difficulty at wakening presented more episodes of SB respect to control groups (28).


Several studies have suggested that SB could be associated with OSAS (11, 12). Physiological evidences support the presence of SB as a consequence of transient arousal while apnea–hypopnea events induce arousals. However, apneic events are not always followed by SB/tooth grinding, suggesting that an apneic event, per se, does not seem to be a direct cause of a SB/tooth grinding episode (11). Several studies suggested the hypothesis that SB may represent a way to reinstate the airway patency following an obstructive respiratory event during sleep, although this hypothesis needs further investigation (13, 33). Results from the present review seem to support the association between SB and OSAS in adolescents since snoring, daytime sleepiness, frequent headache are both SB and OSAS risk factors (34). However, if we consider OSAS as potential risk factors for SB, Ohayon et al. (31) reported only a mild association (OR: 1.8; 95% CI: 1.2–2.6).


Jaw muscle fatigue and tooth wear showed a strong correlation with SB, even if their role as potential risk factors was described only in one article (28). Tooth wear is a complex, multifactorial phenomenon involving the interplay of biological, mechanical, chemical, and tribological factors. Moderate tooth wear has been reported in 51% of adolescents in Birmingham (UK) (35). In Brazil, among 295 12-year-old adolescents, the prevalence of dental wear was 26.90% (36). From a clinical point of view tooth wear is not necessarily a direct consequence of SB (34) but it represents a strong risk factor for SB in adolescents. Uncomfortable occlusion and dental Class II malocclusion showed moderate association with SB. The orthodontic treatment of patients presenting those occlusal features could lead to a reduction of SB insurgence risk in adolescent patients. However, over the years the role of dental morphology and occlusion as a cause of bruxism has been greatly reduced and, to date, there are no scientific studies supporting any cause-effect relationship (9, 34, 37–42).


Depressive status turns out to be related with SB in a moderate way. The probability of depression rises from around 5% in early adolescence to 20% by the end of that time (43, 44). Previous studies reported a strong association between SB, painful TMDs, and moderate to high level of depression (45). The significance of these connections is poorly understood and a causal relationship cannot be established. However, the use of diagnostic criteria for TMD in the orthodontic clinical setting could be of help in identifying adolescent patients suffering from depression in order to refer the patient to a proper intervention before starting the orthodontic treatment.


Smoking is a moderate SB risk factor in adolescents, confirming what previously stated by other authors about SB and direct exposure to smoke in adolescents and adult population (34, 46).


Oral parafunctions predict TMDs (47) and considering the association between SB and painful TMDs in adolescents (17–19) and that SB seems to precede the insurgence of TMDs via the mechanical overload-induced post-exercise muscle soreness (14–16), the identification of possible risk factors associated to SB could be very important to improve the quality of life of adolescent orthodontic patients. In this light the clinician should investigate for sleep disturbances, and snoring in particular, should identify possible headache, jaw muscle fatigue, and tooth wear. Identification of possible depression patients should be performed too. From a dental point of view particular attention should be devoted to patient concerns related to unstable occlusion and to patients presenting Class II malocclusions.


This review revealed the need for methodologically well designed and well conducted studies. Questionnaires are often used to investigate possible risk factors and to investigate about the presence of SB. There is a need for further evidence-based longitudinal studies with standardized and validated diagnostic criteria and polysomnography or validated portable devices (48, 49), in order to obtain more accurate data.


Limitations


Only four cross-sectional articles met the inclusion criteria and none of them highlighted any cause–effect relationship. Thus, we have not yet evidence about SB risk factors in adolescents.


Conclusions


The present review didn’t highlight any cause–effect relationship related to the insurgence of SB in adolescents. Thus a definite conclusion cannot be drawn. However sleep disturbances presented the strongest association with SB while very few occlusal features had a moderate association. From a clinical point of view the investigation of sleep respiratory disorders seems to be of great help in the management of SB in adolescents.


References

1. Lobbezoo F. Ahlberg J. Glaros A. Kato T. Koyano K. Lavigne GJ. de Leeuw R. Manfredini D. Svensson P. and Winocur E . (2014) Bruxism defined and graded: an international consensus. Journal of Oral Rehabilitation, 40, 2–4.


Google ScholarCrossrefWorldCat


2. Manfredini D. and Lobbezoo F . (2009) Role of psychosocial factors in the etiology of bruxism. Journal of Orofacial Pain, 23, 153–166.


Google ScholarPubMedWorldCat


3. Lavigne G.J. Huynh N. Kato T. Okura K. Adachi K. Yao D. and Sessle B . (2007) Genesis of sleep bruxism: motor and autonomic–cardiac interactions. Archives of Oral Biology, 52, 381–384.


Google ScholarCrossrefPubMedWorldCat


4. De Meyer M.D. and de Boever J.A . (1997) The role of bruxism in the appearance of temporomandibular joint disorders. Revue Belge de Medecine Dentaire, 52, 124–138.


Google ScholarPubMedWorldCat


5. Castroflorio T. Bargellini A. Rossini G. Cugliari G. Rainoldi A. and Deregibus A . (2015) Risk factors related to sleep bruxism in children: a systematic literature review Archives of Oral Biology, 60, 1618–1624.


Google ScholarCrossrefPubMedWorldCat


6. Machado E. Dal-Fabbro C. Cunali P.A. and Kaizer O.B . (2014) Prevalence of sleep bruxism in children: a systematic review. Dental Press Journal of Orthodontics, 19, 54–61.


Google ScholarCrossrefPubMedWorldCat


7. World Health Organization (2014) http://www.who.int/topics/risk_factors/en/(September 2015, date last accessed).


8. Kataoka K. Ekuni D. Mizutani S. Tomofuji T. Azuma T. Yamane M. Kawabata Y. Iwasaki Y. and Morita M . (2015) Association between self-reported bruxism and malocclusion in university students: a cross-sectional study. Journal of Epidemiology, 25, 423–430.


Google ScholarCrossrefPubMedWorldCat


9. Lobbezoo F. Ahlberg J. Manfredini D. and Winocur E . (2012) Are bruxism and the bite causally related? Journal of Oral Rehabilitation, 39, 489–501.


Google ScholarCrossrefPubMedWorldCat


10. Mayer P. Heinzer R. and Lavigne G . (2015) Sleep bruxism in respiratory medicine practice. Chest. 10.1378/chest.15–0822


Google ScholarWorldCat


11. Kato T . (2004) Sleep bruxism and its relation to obstructive sleep apnea–hypopnea syndrome. Sleep and Biological Rhythms, 2, 1–15.


Google ScholarCrossrefWorldCat


12. Carra M.C. Bruni O. and Huynh N . (2012) Topical review: sleep bruxism, headaches, and sleep-disordered breathing in children and adolescents. Journal of Orofacial Pain, 26, 267–276.


Google ScholarPubMedWorldCat


13. Simmons J.H . (2012) Neurology of sleep and sleep-related breathing disorders and their relationships to sleep bruxism. Journal of Californian Dental Association, 40, 159–167.


Google ScholarWorldCat


14. Dao T.T.T. Lund J.P. and Lavigne G.J . (1994) Comparison of pain and quality of life in bruxers and patients with myofascial pain of the masticatory muscles. Journal of Orofacial Pain, 8, 350–356.


Google ScholarPubMedWorldCat


15. Arima T. Svensson P. and Arendt-Nielsen L . (1999) Experimental grinding in healthy subjects: a model for post exercise jaw muscle soreness. Journal of Orofacial Pain, 13, 104–114.


Google ScholarPubMedWorldCat


16. Lund J.P. Lavigne G.J. Dubner R. and Sessle B.J . (2002) Orofacial Pain: From Basic Science to Clinical Management. Quintessence, Sao Paulo.


Google ScholarGoogle PreviewWorldCatCOPAC


17. Fernandes G. Van Selms M.K. Gonçalves D.A. Lobbezoo F. and Camparis C.M . (2015) Factors associated with temporomandibular disorders pain in adolescents. Journal of Oral Rehabilitation, 42, 113–119.


Google ScholarCrossrefPubMedWorldCat


18. Franco-Micheloni A.L. Fernandes G. De Godoi Gonçalves D.A. and Camparis C.M . (2015) Temporomandibular disorders in a young adolescent Brazilian population: epidemiologic characterization and associated factors. Journal of Oral Facial Pain and Headache, 29, 242–249.


Google ScholarCrossrefPubMedWorldCat


19. McNamara J.A. Jr. Seligman D.A. and Okeson J.P . (1995) Occlusion, orthodontic treatment, and temporomandibular disorders: a review. Journal of Orofacial Pain, 9, 73–90.


Google ScholarPubMedWorldCat


20. Moher D. Liberati A. Tetzlaff J. and Altman D.G . (2009) Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. The PRISMA group. PLOS Medicine, 6, e1000097.


Google ScholarCrossrefPubMedWorldCat


21. Higgins J.P.T. and Green S . (2011) Cochrane Handbook for Systematic Reviews of Interventions Version 5.1.0. The Cochrane Collaboration, 2011. www.cochrane-handbook.org.


Google ScholarGoogle PreviewWorldCatCOPAC


22. Lichtenstein A.H. Yetley E.A. and Lau J . (2009) Application of Systematic Review Methodology to the Field of Nutrition: Nutritional Research Series, Vol. 1. Agency for Healthcare Research and Quality (US), Rockville, MD.


Google ScholarGoogle PreviewWorldCatCOPAC


23. Centre for Reviews and Dissemination (2008) Systematic reviews—CRD’s guidance for undertaking reviews in health care. Centre for Reviews and Dissemination, University of York, York.


Google ScholarGoogle PreviewWorldCatCOPAC


24. Meader N. King K. Llewellyn A. Norman G. Brown J. Rodgers M. Moe-Byrne T. Higgins J.P.T. Sowden A. and Stewart G . (2014) A checklist designed to aid consistency and reproducibility of GRADE assessments: development and pilot validation. Systematic Reviews, 3, 82.


Google ScholarCrossrefPubMedWorldCat


25. Mary L. and McHugh M.L . (2012) Interrater reliability: the kappa statistic. Biochemia Medica (Zagreb), 22, 276–282.


Google ScholarWorldCat


26. Littell J.H. Corcoran J. and Pillai V . (2008) Systematic reviews and meta-analysis. Oxford University Press, New York.


Google ScholarGoogle PreviewWorldCatCOPAC


27. Deeks J.J . (2002) Issues in the selection of a summary statistic for meta-analysis of clinical trials with binary outcomes. Statistics in Medicine, 21, 1575–1600.


Google ScholarCrossrefPubMedWorldCat


28. Carra M.C. Huynh N. Morton P. Rompré P.H. Papadakis A. Remise C. and Lavigne G.J . (2011) Prevalence and risk factors of sleep bruxism and wake-time tooth clenching in a 7- to 17-yr-old population. European Journal of Oral Sciences, 119, 386–394.


Google ScholarCrossrefPubMedWorldCat


29. Itani O. Kaneita Y. Ikeda M. Kondo S. Yamamoto R. Osaki Y. Kanda H. Suzuki K. Higuchi S. and Ohida T. (2013) Disorders of arousal and sleep-related bruxism among Japanese adolescents: a nationwide representative survey. Sleep Medicine, 14, 532–541.


Google ScholarCrossrefPubMedWorldCat


30. Van Selms M.K. Visscher C.M. Naeije M. and Lobbezoo F . (2013) Bruxism and associated factors among Dutch adolescents. Community Dental Oral Epidemiology, 41, 353–363.


Google ScholarCrossrefWorldCat


31. Ohayon M.M. Li K.K. and Guilleminault C . (2001) Risk factors for sleep bruxism in the general population. Chest, 119, 53–61.


Google ScholarCrossrefPubMedWorldCat


32. Iber C. Anacoli-Israel S. and Chesson A . (2007) The AASM Manual for the Scoring of Sleep and Associated Events: Rules, Terminology and Technical Specifications. American Academy of Sleep Medicine (AASM), Westchester, IL.


Google ScholarGoogle PreviewWorldCatCOPAC


33. Khoury S. Rouleau G.A. Rompre P.H. Mayer P. Montplaisir J.Y. and Lavigne G.J . (2008) A significant increase in breathing amplitude precedes sleep bruxism. Chest, 134, 332–337.


Google ScholarCrossrefPubMedWorldCat


34. Carra M.C. Huynh N. and Lavigne G . (2012) Sleep bruxism: a comprehensive overview for the dental clinician interested in sleep medicine. Dental Clinics of North America, 56, 387–413.


Google ScholarCrossrefPubMedWorldCat


35. Al-Dlaigan Y.H. Shaw L. and Smith A . (2001) Dental erosion in a group of British 14-year-old school children. Part I: prevalence and influence of differing socioeconomic backgrounds. British Dental Journal, 190, 145–149.


Google ScholarPubMedWorldCat


36. De Carvalho Sales-Peres S.H. Goya S. De Araújo J.J. Sales-Peres A. Lauris J.R. and Buzalaf M.A . (2008) Prevalence of dental wear among 12-year-old Brazilian adolescents using a modification of the tooth wear index. Public Health, 122, 942–948.


Google ScholarCrossrefPubMedWorldCat


37. Koyano K. Tsukiyama Y. and Ichiki R . (2008) Assessment of bruxism in the clinic. Journal of Oral Rehabilitation, 35, 495–508.


Google ScholarCrossrefPubMedWorldCat


38. Abe S. Yamaguchi T. and Rompre P.H . (2009) Tooth wear in young subjects: a discriminator between sleep bruxers and controls? International Journal of Prosthodontics, 22, 342–350.


Google ScholarPubMedWorldCat


39. Johansson A. Johansson A.K. and Omar R . (2008) Rehabilitation of the worn dentition. Journal of Oral Rehabilitation, 35, 548–66.


Google ScholarCrossrefPubMedWorldCat


40. Pergamalian A. Rudy T.E. and Zaki H.S . (2003) The association between wear facets, bruxism, and severity of facial pain in patients with temporomandibular disorders. Journal of Prosthetic Dentistry, 90, 194–200.


Google ScholarCrossrefPubMedWorldCat


41. Manfredini D. Visscher C.M. Guarda-Nardini L. and Lobbezoo F . (2012) Occlusal factors are not related to self-reported bruxism. Journal of Orofacial Pain, 26, 163–167.


Google ScholarPubMedWorldCat


42. Kato T. Thie N.M. Huynh N. Miyawaki S. and Lavigne G.J . (2003) Topical review: sleep bruxism and the role of peripheral sensory influences. Journal of Orofacial Pain, 17, 191–213.


Google ScholarPubMedWorldCat


43. Lewinsohn P.M. Rohde P. Klein D.N. and Seeley J.R . (1999) Natural course of adolescent major depressive disorder: I. Continuity into young adulthood. Journal of American Academy of Child & Adolescents Psychiatry, 38, 56–63.


Google ScholarCrossrefWorldCat


44. Hankin B.L. Abramson L.Y. Moffitt T.E. Silva P.A. McGee R. and Angell K.E . (1998) Development of depression from preadolescence to young adulthood: emerging gender differences in a 10-year longitudinal study. Journal of Abnormal Psychology, 107, 128–134.


Google ScholarCrossrefPubMedWorldCat


45. Fernandes G. Franco A.L. Siqueira J.T. Gonçalves D.A. and Camparis C.M . (2012) Sleep bruxism increases the risk for painful temporomandibular disorder, depression and non-specific physical symptoms. Journal of Oral Rehabilitation, 39, 538–544.


Google ScholarCrossrefPubMedWorldCat


46. Paesani D.A. Lobbezoo F. Gelos C. Guarda-Nardini L. Ahlberg J. and Manfredini D .(2013) Correlation between self-reported and clinically based diagnoses of bruxism in temporomandibular disorders patients. Journal of Oral Rehabilitation, 40, 803–809.


Google ScholarCrossrefPubMedWorldCat


47. Ohrbach R. et al. (2014) Clinical orofacial characteristics associated with risk of first-onset TMD: the OPPERA prospective cohort study. Journal of Pain, 14, 33–50.


Google ScholarCrossrefWorldCat


48. Castroflorio T. Bargellini A. Rossini G. Cugliari G. Deregibus A. and Manfredini D . (2015) Agreement between clinical and portable EMG/ECG diagnosis of sleep bruxism. Journal of Oral Rehabilitation, 42, 759–764.


Google ScholarCrossrefPubMedWorldCat


49. Castroflorio T. Deregibus A. Bargellini A. Debernardi C. and Manfredini D . (2014) Detection of sleep bruxism: comparison between an electromyographic and electrocardiographic portable holter and polysomnography. Journal of Oral Rehabilitation, 41, 163–169.


Google ScholarCrossrefPubMedWorldCat


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