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Temporomandibular disorders among adult patients: Relationship with personality traits and other factors

  • Hassan Adnan Alshawaf,

    Roles Conceptualization, Investigation, Methodology, Writing – original draft, Writing – review & editing

    Affiliation College of Dentistry, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia

  • Mohammed Ali Alnemer,

    Roles Conceptualization, Investigation, Methodology, Writing – original draft, Writing – review & editing

    Affiliation College of Dentistry, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia

  • Majid Alawi Alsafwani,

    Roles Conceptualization, Investigation, Methodology, Writing – original draft, Writing – review & editing

    Affiliation College of Dentistry, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia

  • Faisal Abdulmonem Alhalal,

    Roles Conceptualization, Investigation, Methodology, Writing – original draft, Writing – review & editing

    Affiliation College of Dentistry, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia

  • Moayad Mohammed Aljeshi,

    Roles Conceptualization, Investigation, Methodology, Writing – original draft, Writing – review & editing

    Affiliation College of Dentistry, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia

  • Muhammad Ashraf Nazir

    Roles Conceptualization, Formal analysis, Investigation, Methodology, Project administration, Writing – original draft, Writing – review & editing

    manazir@iau.edu.sa

    Affiliation Department of Preventive Dental Science, College of Dentistry, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia

Abstract

Introduction

Temporomandibular disorders (TMDs) refer to the pain and dysfunction of the temporomandibular joints and associated masticatory muscles. There is a lack of evidence about the relationship between TMDs and personality traits. The aim of the study was to evaluate temporo-mandibular disorders and their relationship with personality traits and other study variables among adult patients in Dammam, Saudi Arabia.

Methods

This cross-sectional study was conducted at the Dental Hospital of the College of Dentistry, Imam Abdulrahman Bin Faisal University (IAU), Dammam, Saudi Arabia. Adult male and female patients attending dental hospital who provided written consent were included in the study. A self-administered questionnaire was administered among participants, which included demographic information, Big-Five Inventory-2 Short form (BFI-2 S) for personality traits, and Fonseca’s questionnaire for temporo-mandibular disorders (TMDs). A t-test, one-way ANOVA test, and multiple linear regression analysis were performed in the study.

Results

The study included 500 participants, with 66.4% males and 33.6% females. Most participants (59.2%) had TMDs, with 40% mild TMDs, 14.6% moderate TMDs, and 4.6% severe TMDs. Females demonstrated a significantly higher mean score of Fonseca’s questionnaire (31.79 ± 21.96) compared to males (22.32 ± 18.75) (P < 0.001). The participants with no education had the highest mean score of Fonseca’s questionnaire (52.50 ± 33.06) compared to those with school education (27.09 ± 18.96) and college/university education (23.49 ± 19.78) (P < 0.001). The participants with arthritis and sleep disorders demonstrated significantly greater severity of TMDs than those without these conditions (P < 0.001). There was a significant negative correlation between TMDs and agreeableness (r = −0.26, P < 0.001) and conscientiousness (r = −0.23, P < 0.001). However, a significant positive correlation (r = 0.33, P < 0.001) can be observed between TMDs and neuroticism. According to multiple linear regression analysis models, agreeableness (B = −1.17, P < 0.001), conscientiousness (B = −1.04, P < 0.001), and neuroticism (B = 1.45, P < 0.001) remained statistically significant predictors of TMDs after controlling for age, gender, nationality, education, and monthly income.

Conclusion

The study found that TMDs were highly prevalent among adult patients. TMDs were significantly related to female gender and low education level. The participants with arthritis and sleep disorders demonstrated significantly increased severity of TMDs. Neuroticism was significantly correlated with the severity of TMDs. On the other hand, agreeableness and conscientiousness were negatively correlated with TMDs and emerged as protective predictors against TMDs. Adult patients should be screened for TMDs and personality traits, and multidisciplinary treatment plans involving treatments for TMDs and psychological support should be tailored for them.

Introduction

The personality of an individual consists of relatively stable patterns of thoughts, feelings, and behaviors along with underlying psychological mechanisms [1]. The Big Five or Five Factor Model classifies personality into five categories, such as agreeableness, neuroticism, extraversion, conscientiousness, and openness to experiences [2]. This model has been widely used with different measurement methods among individuals of different ages and has demonstrated cross-cultural validity [3]. Personality traits may affect an individual’s dental perceptions as well as satisfaction with dentition and are associated with parafunctional habits, oral hygiene, and dental caries [46]. Additionally, neuroticism is known to significantly compromise oral health-related quality of life, while extraversion improves it [7].

Temporomandibular disorders (TMDs) refer to the pain and dysfunction of the temporomandibular joints and associated masticatory muscles, affecting 31.1% adult and elderly populations globally [8,9]. In Saudi Arabia, about 40% of the population is affected with TMDs, and higher prevalence is found in females than males [10]. Moayedi et al. observed that the duration of TMDs contributed to abnormalities in the gray matter within brain areas of patients with chronic painful TMDs and neuroticism was also positively correlated with brain changes [11]. In Brazil, Serra-Negra et al. found that sleep bruxism was common among participants with high score of neuroticism [12]. Southwell et al. showed that patients with TMDs demonstrated significantly greater neuroticism and introversion compared to those without TMDs in the U.K [13]. Similarly, a recent study in Poland reported that personality traits were significantly associated with TMDs [14].

There is a paucity of comprehensive data evaluating the personality profile of dental patients with TMDs, making it difficult to ascertain if certain personality traits increase the likelihood of TMDs among them. The study may enhance health professionals’ understanding of the interrelationship between personality and TMDs and play their role in the early diagnosis and prevention of TMD. Therefore, there was a need to conduct a study to investigate personality traits of patients and their association with TMDs. The aim of this study was to evaluate temporo-mandibular disorders and their relationship with personality traits and other factors among adult patients in Dammam, Saudi Arabia. It was hypothesized that specific personality traits are correlated with the severity of TMDs among dental patients.

Materials and methods

Study design and population

A cross-sectional questionnaire-based study was conducted at the Dental Hospital of the College of Dentistry, Imam Abdulrahman Bin Faisal University (IAU). The Institutional Review Board at the Deanship of Scientific Research IAU approved the study (IRB-2025-02-0055). Adult male and female patients attending dental hospital who provide written consent were included in the study. Patients with arthritis were included in the study to evaluate relationship between arthritis and TMDs severity. Children and adolescents seeking dental care at the dental hospital, patients outside the IAU dental hospital, patients who refused to sign consent, and patients who do not understand English or Arabic language due to language barriers were excluded from the study. In addition, patients with uncontrolled diabetes, severe cardiovascular, liver, and kidney diseases, psychological conditions, and those seeking treatment for TMDs were excluded from the study. A 95% confidence level, 0.5 population variability, ± 5% margin of error, and an approximate population (N ≈ 10,000) were used to compute the sample size of 554 participants. The study employed a convenience sampling technique for data collection. The researchers started data collection on 23 January 2025 and completed on 27 March 2025.

Study instrument

A self-administered questionnaire consisted of three sections. The first section included demographic information, the second section consisted of the Big-Five Inventory-2 Short form (BFI-2 S), and the third section contained Fonseca’s questionnaire. The Big-Five Inventory-2 Short form (BFI-2 S) was used to evaluate personality traits of the participants. The scale has excellent reliability and validity and has been validated in various languages, including Arabic language [15,16]. It consists of 30 items, which describe the major personality traits such as extraversion (6 items), agreeableness (6 items), conscientiousness (6 items), negative emotionality/neuroticism (6 items), and openness (6 items). Each item in the scale uses a 5-point Likert scale ranging from strongly disagree to strongly agree [16].

The Fonseca’s questionnaire is used to collect epidemiological information regarding the prevalence and severity of TMDs [17]. The scale has ten questions: five assess the patient’s emotional status and how they perceive their TMDs, and the remaining five questions evaluate pain in the head, back, or temporomandibular joint, or during chewing, as well as parafunctional behaviors, restricted movement, and joint clicking. The potential responses to each question are “yes” (10 points), “no” (0 points), and “sometimes” (5 points). The total score is calculated by adding individual item scores, and the maximum score is 100. TMDs are categorized as mild when a total score is between 20 and 40, moderate when it is between 45 and 65, severe when it is 70–100, and absent when it is less than 16 [17,18]. Arabic and non-Arabic speaking populations responded to Arabic and non-Arabic versions of the Fonseca questionnaire [19].

Procedure and ethics

The participants were invited to complete questionnaires in person. The researchers distributed questionnaires among participants in the waiting area before dental treatment in the dental hospital. Hard copies of the questionnaire were administered among study participants, and completed questionnaires were returned to the researchers. The participants received information about the research project, including its aim and potential advantages. They were assured of their voluntary participation in the study and the confidentiality and privacy of their responses. Explanations or clarifications were provided to those participants who had difficulty understanding any items in the questionnaire.

Data analysis

The Statistical Package for the Social Sciences (IBM SPSS Statistics for Windows, version 22.0. Armonk, NY: IBM Corp) was used for statistical analysis. T-test and one-way ANOVA test were performed to determine the relationship between TMDs and demographic and other variables. The relationship of personality traits and TMDs was explored by using Pearson’s correlation test and multiple linear regression analysis. MANCOVA analysis was performed to determine whether personality traits differ between TMDs categories. A P < 0.05 was used for statistical significance.

Results

The study included 500 participants, with 66.4% males and 33.6% females. Most participants were Saudis (93%), aged 18–49 years (77.2%), had college/university education (61.2%), and belonged to the middle-income group (54.2%). Females demonstrated a significantly higher mean score of Fonseca’s questionnaire (31.79 ± 21.96) compared to males (22.32 ± 18.75) (P < 0.001). The participants with no education had the highest mean score of Fonseca’s questionnaire (52.50 ± 33.06) compared to those with school education (27.09 ± 18.96) and university education (23.49 ± 19.78) (P < 0.001). The participants with arthritis, bruxism, and sleep disorders demonstrated significantly higher TMDs than those without these conditions (<0.001) (Table 1).

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Table 1. Relationship between TMD and demographic and other factors among study participants.

https://doi.org/10.1371/journal.pone.0345159.t001

Fig 1 shows TMDs categories: 40.8% of the participants had no TMDs, 40% mild TMDs, 14.6% moderate TMDs, and 4.6% severe TMDs.

Fig 2 show boxplots of the BFI-2-S personality traits scores among study participants.

The median scores of agreeableness and conscientiousness were greater compared to other traits. On the other hand, neuroticism showed the lowest median score among personality traits.

Table 2 shows that there was a significant negative correlation between agreeableness and TMDs (r = −0.26, P < 0.001). A similar significant and negative correlation was found between conscientiousness and TMDs (r = −0.23, P < 0.001). However, a significant positive correlation (r = 0.33, P < 0.001) was observed between TMDs and neuroticism.

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Table 2. Bivariate analysis: Relationship between TMD and personality traits among study participants.

https://doi.org/10.1371/journal.pone.0345159.t002

According to multiple linear regression analysis models, agreeableness (B = −1.17, P < 0.001), conscientiousness (B = −1.04, P < 0.001) and neuroticism (B = 1.45, P < 0.001) remained statistically significant predictors of TMDs after controlling for age, gender, nationality, education, and monthly income. (Table 3). These models showed normal P-P plots with regression standardized residuals normally distributed along a diagonal line, satisfying the assumption of normality. The tolerance (0.87–0.99) and Variance Inflation Factor (VIF) (1.01–1.16) values revealed that independent variables in these models did not significantly correlate with each others, suggesting no issue of multicollinearity.

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Table 3. Multivariable analysis: Relationship between TMDs and personality traits among study participants.

https://doi.org/10.1371/journal.pone.0345159.t003

The regression model assessing the relationship between neuroticism and TMDs explained 17.2% of the variance in TMD scores (R² = 0.172). Similarly, the models for conscientiousness and TMDs and agreeableness and TMDs explained 12.8% (R² = 0.128) and 14.5% (R² = 0.145) of the variance in TMD scores, respectively.

The results showed statistically significant relationships between TMDs categories and agreeableness (p < 0.001) and conscientiousness (p < 0.001). As the mean scores of these traits increase, the severity of TMDs decreases. On the other hand, an increase in the mean score of neuroticisms was significantly related to an increase in TMDs severity (p < 0.001) (Table 4).

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Table 4. Estimated marginal means of personality traits by TMD categories among study participants.

https://doi.org/10.1371/journal.pone.0345159.t004

Discussion

The present study evaluated the prevalence of TMDs and their relationships with personality traits and other factors among adult patients in Dammam, Saudi Arabia. The study found a high prevalence of TMDs in our sample of patients with 40% having mild TMDs, 14.6% moderate TMDs, and 4.6% severe TMDs. In a similar recent study from Saudi Arabia that utilized the Fonseca questionnaire, mild TMDs were observed in 41.4%, moderate TMDs in 20.5%, and severe TMDs in 11.4% of adult participants [20]. Likewise, a higher prevalence of TMDs (68.5%) was reported in another study of adults from Saudi Arabia, and 41.5% of participants demonstrated mild TMDs, 19.3% moderate TMDs, and 7.8% severe TMDs [21]. Another previous study also administered Fonseca’s questionnaire among adult patients and observed TMDs in 61% of the study population in Madinah, Saudi Arabia [22]. Stress, anxiety, depression, sleep problems, parafunctional habits, and cultural and societal influences may account for a high prevalence of TMDs among adults in the country [10].

Nadershah reported that a significantly greater proportion of females (42%) compared with males (28%) demonstrated TMDs in Jeddah, Saudi Arabia [23]. Likewise, a study by Alolayan et al. showed that TMDs affected more females (55.7%) than males (44.3%) in Madinah, Saudi Arabia [22]. In a recent study, Pinheiro and his coworkers confirmed that Brazilian women were significantly more likely (odds ratio = 1.91) than men to experience the symptoms of TMDs [24]. In a study of the adult Finnish population by Qvintus et al., females were shown to have a greater risk for TMD problems compared with males [25]. Females were also shown to demonstrate greater disability and psychosocial impairment due to TMDs pain [26]. In the present study, females reported experiencing significantly greater severity of TMDs than their male counterparts. Greater prevalence and severity of TMDs among women than men can be attributed to the difference in their pain perception, pain coping strategies, psychological factors, hormonal influences, or sociocultural norms, including oral care seeking behaviors [24].

In the present study, the participants with no education reported significantly higher severity of TMDs than those with school or college/university education. This agrees with the findings of Banafa et al., who reported that pain-related TMD signs in adults were significantly related to their low education [27]. Similarly, Qvintus et al. showed that participants with low education were significantly more likely to demonstrate signs and symptoms of TMDs than those with high education [25]. Individuals with lower educational attainment may experience more anxiety and depressive disorders, and social and economic challenges, which may predispose them to a greater burden of TMDs than those with higher levels of education [25,26].

The present study observed a significantly greater severity of TMDs among participants with arthritis and sleep disorders than those without these conditions. The literature suggests that inflammatory biomarkers of rheumatoid arthritis are known to increase the progression of TMDs, and the greater the duration of rheumatoid arthritis, greater the severity of TMDs [28]. Additionally, rheumatoid arthritis is known to cause changes in the bone structures of temporomandibular joint, such as erosion, sclerosis, flattening, and osteophytes [29]. There is a bilateral relationship between sleep disorders and TMDs, and patients with TMDs may experience sleep disorders, and individuals with sleep disorders may develop TMDs [30,31]. It was reported that the participants with poor sleep quality were 2.89 times more likely to develop TMDs [31]. In Taiwan, a national cohort study showed that patients with sleep apnea demonstrated significantly higher incidence of TMDs than controls, and sleep apnea was identified as an independent risk factor for the development of TMDs [30].

Neuroticism is associated with an increased vulnerability to poor oral hygiene and gingival health and low oral health related quality of life [7,32]. Evidence from a neurobiological study suggests that neuroticism may affect the function and structure of the brain, contributing to the pathophysiology of TMDs [11]. Likewise, it was reported that high neuroticism scores were associated with more disability days among patients with painful TMDs [26]. Similarly, the participants with symptoms of TMD were shown to demonstrate higher scores of neuroticism than those without TMD symptoms [14]. In our sample of adult patients, neuroticism was significantly correlated with TMDs severity after controlling for demographic variables, suggesting higher scores of neuroticism may result in greater severity of TMDs. It is known that the patients with higher scores of neuroticisms experience heightened distress and low tolerance to pain, hence, they are more likely to perceive signs and symptoms of TMDs [11].

According to the Big Five Model, individuals with high scores in conscientiousness personality tend to be diligent, careful, organized, goal oriented, and self-disciplined and exhibit careful planning, persistence in pursuing objectives, and achievement of goals [33]. Evidence suggests that conscientiousness is associated with lower biomarkers of inflammation and cardiovascular malfunction, suggesting improved health outcomes among individuals with high conscientiousness [34]. It is also known that people with high conscientiousness demonstrate improved oral health behaviors such as toothbrushing, oral hygiene practices, dental attendance, and oral health awareness [6]. In a study of the adult population in Saudi Arabia, Almutairi et al., showed a significantly lower prevalence of TMDs among participants with conscientiousness [35]. Similarly, Mitrowska-Guźmińska et al., reported that patients with pain related TMDs exhibited a significantly lower level of conscientiousness compared to those without TMD pain symptoms [14]. In line with existing literature, higher scores of conscientiousness were significantly and negatively correlated with severity of TMDs in our sample of patients.

People high in agreeableness are cooperative, trusting, and sympathetic, and they establish stronger social support networks and cope better with stresses [33]. Almutairi et al., and Mitrowska-Guźmińska et al. observed no significant association between agreeableness and TMDs [14,35]. However, the regression analysis in the present study confirmed a significant and negative correlation between agreeableness and TMDs, suggesting agreeableness as a protective factor against TMDs. Significantly reduced severity of TMDs related to agreeableness in the present study could be explained by the existence of coping abilities and social support networks in people high in agreeableness, resulting in reduction of stress and anxiety, which are main predictors of TMDs [26]. Significant interrelationships between neuroticism, conscientiousness, agreeableness and TMDs highlight the importance of evaluating personality traits in TMDs patients to inform comprehensive management strategies.

A large sample of adult patients was one of the strengths of this study. In addition, the study used validated instruments to screen patients with TMDs and evaluate their personality traits. The study added useful information to the limited current literature on the relationship between TMDs and personality traits in adult populations. However, there are certain limitations to this study. First, limited generalizability of results to adult populations in other geographic locations due to data collection from an institution. Second, under and over reporting in self-reported surveys can lead to measurement bias in the study. Third, a cross-sectional study design is limited in establishing temporal relationships between study variables because data are collected at the same time. Despite these limitations, a cross-sectional study design is suitable for screening patients with TMDs, evaluating personality traits, and exploring the relationships between personality traits and TMDs. In addition, a cross-sectional study is time-efficient and less resource-consuming, providing valuable information for the generation of hypotheses for future cohort studies. Therefore, a multicenter cohort study should evaluate the interrelationships between TMDs and personality traits and other variables by including clinical diagnoses of TMDs from populations with diverse cultural backgrounds.

Conclusions

The study found that TMDs were highly prevalent among adult patients. TMDs were significantly related to female gender and low education level. The participants with arthritis and sleep disorders demonstrated significantly increased severity of TMDs. Neuroticism was significantly correlated with the severity of TMDs. On the other hand, agreeableness and conscientiousness were negatively correlated with TMDs, and these emerged as protective factors against TMDs. The study underscores the importance of personality traits for a more holistic approach in the prevention and management of patients with TMDs. The decision makers should develop policies and procedures to screen dental patients for TMDs and personality traits. Comprehensive multidisciplinary approaches, including therapeutic interventions for TMDs, psychological support or stress management, should be tailored especially for patients with severe TMDs and neuroticism.

Supporting information

S1 File. Data on personality traits and TMD.

https://doi.org/10.1371/journal.pone.0345159.s001

(XLS)

References

  1. 1. Sanchez-Roige S, Gray JC, MacKillop J, Chen C-H, Palmer AA. The genetics of human personality. Genes Brain Behav. 2018;17(3):e12439. pmid:29152902
  2. 2. Franić S, Borsboom D, Dolan CV, Boomsma DI. The big five personality traits: psychological entities or statistical constructs?. Behav Genet. 2014;44(6):591–604. pmid:24162101
  3. 3. Aschwanden D, Sutin AR, Luchetti M, et al. A systematic review and meta-analysis of the association between personality and cognitive failures/ complaints. Soc Personal Psychol Compass 2020;14(11):e12565.
  4. 4. Karasneh J, Al-Omiri MK, Al-Hamad KQ, Al Quran FAM. Relationship between patients’ oral health-related quality of life, satisfaction with dentition, and personality profiles. J Contemp Dent Pract. 2009;10(6):E049-56. pmid:20020081
  5. 5. Fuentes AM, Romo-González T, Huesca-Domínguez I, Campos-Uscanga Y, Barranca-Enríquez A. Variations in some features of oral health by personality traits, gender, and age: key factors for health promotion. Dent J (Basel). 2024;12(12):391. pmid:39727448
  6. 6. Al-Omiri MK, Alhijawi MM, Al-Shayyab MH, Kielbassa AM, Lynch E. Relationship between dental students’ personality profiles and self-reported oral health behaviour. Oral Health Prev Dent. 2019;17(2):125–9. pmid:30968068
  7. 7. Alhajri DS, Alhammad DA, Alabdulqader LF, Alasbly RR, Alhareky M, Algahtani M, et al. Personality traits and their relationship with oral health related quality of life among adolescents in Saudi Arabia. BMC Oral Health. 2025;25(1):110. pmid:39838343
  8. 8. List T, Jensen RH. Temporomandibular disorders: old ideas and new concepts. Cephalalgia. 2017;37(7):692–704. pmid:28068790
  9. 9. Valesan LF, Da-Cas CD, Réus JC, Denardin ACS, Garanhani RR, Bonotto D, et al. Prevalence of temporomandibular joint disorders: a systematic review and meta-analysis. Clin Oral Investig. 2021;25(2):441–53. pmid:33409693
  10. 10. Alrizqi AH, Aleissa BM. Prevalence of temporomandibular disorders between 2015-2021: a literature review. Cureus. 2023;15(4):e37028.
  11. 11. Moayedi M, Weissman-Fogel I, Crawley AP, Goldberg MB, Freeman BV, Tenenbaum HC, et al. Contribution of chronic pain and neuroticism to abnormal forebrain gray matter in patients with temporomandibular disorder. Neuroimage. 2011;55(1):277–86. pmid:21156210
  12. 12. Serra-Negra JM, Paiva SM, Abreu MH, Flores-Mendoza CE, Pordeus IA. Relationship between tasks performed, personality traits, and sleep bruxism in Brazilian school children--a population-based cross-sectional study. PLoS One. 2013;8(11):e80075. pmid:24244614
  13. 13. Southwell J, Deary IJ, Geissler P. Personality and anxiety in temporomandibular joint syndrome patients. J Oral Rehabil. 1990;17(3):239–43. pmid:2348268
  14. 14. Mitrowska-Guźmińska M, Gębska M, Jonko K, Dalewski B, Pałka Ł, Chęć M, et al. Effect of personality type on the occurrence of temporomandibular disorders-a cross-sectional study. Int J Environ Res Public Health. 2022;20(1):352. pmid:36612672
  15. 15. Attar F, Ouadi K. Adaptation and validation of the big five inventory-2-short form in a sample of moroccan young adults. Res Stud. 2023;03(03).
  16. 16. Soto CJ, John OP. Short and extra-short forms of the big five inventory–2: the BFI-2-S and BFI-2-XS. J Res Person. 2017;68:69–81.
  17. 17. Fonseca DM, Bonfante G, Valle AL, Freitas SFT. Diagnóstico pela anamnese da disfunção craniomandibular. RGO. 1994;1994:23–8.
  18. 18. Campos JADB, Carrascosa AC, Bonafé FSS, Maroco J. Severity of temporomandibular disorders in women: validity and reliability of the Fonseca Anamnestic Index. Braz Oral Res. 2014;28:16–21. pmid:25000601
  19. 19. Alyessary AS, Yap AU, Almousawi A. The Arabic Fonseca Anamnestic Index: psychometric properties and use for screening temporomandibular disorders in prospective orthodontic patients. Cranio. 2023;41(2):131–8. pmid:33000996
  20. 20. Almutari FAS, Bakhaidar S, Akoor B, Alqahtani A, Al Awadh S, Aldail S, et al. Prevalence of temporomandibular joint disorders among adults in Saudi Arabia population: cross-sectional study. Annal Dental Spec. 2023;11:11.
  21. 21. Komo HA, Almutairi MH, Addus AA, Almaghrabi AI, Hidah EN, Alraddadi FM, et al. Prevalence, knowledge and awareness level of temporomandibular joint disorder among Saudi population. MS. 2023;27(131):1–12.
  22. 22. Alolayan A, Alsayed SS, Salamah RM, Ali KM, Alsousi M, Elsayed S. Temporomandibular joint (TMJ) disorders prevalence and awareness of appropriate clinical practices, among Al-Madinah community in Saudi Arabia. F1000Res. 2022;11:395. pmid:37151613
  23. 23. Nadershah M. Prevalence of temporomandibular joint disorders in adults in Jeddah, kingdom of Saudi Arabia: a cross-sectional study. J Contemp Dent Pract. 2019;20(9):1009–13. pmid:31797820
  24. 24. Pinheiro LBL, Maracci LM, Tomazoni F. Being a woman influences the development of temporomandibular disorder: cross-sectional study. BrJP. 2024;7:e20240020.
  25. 25. Qvintus V, Sipilä K, Le Bell Y, Suominen AL. Prevalence of clinical signs and pain symptoms of temporomandibular disorders and associated factors in adult Finns. Acta Odontol Scand. 2020;78(7):515–21. pmid:32286898
  26. 26. Assiri K. Relationships between personality factors and DC/TMD Axis II scores of psychosocial impairment among patients with pain related temporomandibular disorders. Sci Rep. 2024;14(1):26869. pmid:39501058
  27. 27. Banafa A, Suominen AL, Sipilä K. Factors associated with signs of temporomandibular pain: an 11-year-follow-up study on Finnish adults. Acta Odontol Scand. 2020;78(1):57–63. pmid:31401930
  28. 28. Jalal RA, Ahmed KM, Saeed SM, Qaradaghi TA. Correlation of clinical findings of temporomandibular joint with serological results in rheumatoid arthritis patients. Clin Exp Dent Res. 2022;8(5):1270–6. pmid:35767468
  29. 29. Campos DES, de Araújo Ferreira Muniz I, de Souza Villarim NL, Ribeiro ILA, Batista AUD, Bonan PRF, et al. Is there an association between rheumatoid arthritis and bone changes in the temporomandibular joint diagnosed by cone-beam computed tomography? A systematic review and meta-analysis. Clin Oral Investig. 2021;25(5):2449–59. pmid:33547580
  30. 30. Wu J-H, Lee K-T, Kuo C-Y. The association between temporomandibular disorder and sleep apnea—A nationwide population-based cohort study. Inter J Environ Res Public Health. 2020;17(17):6311.
  31. 31. Mourato PMN, Minghelli B. Association between temporomandibular disorders and sleep quality in higher education health students. BrJP. 2024;7(e20240046).
  32. 32. Meshram S, Gattani D, Shewale A, Bodele S. Association of personality traits with oral health status: a cross-sectional study. Int J Indian Psychol. 2017;4(2).
  33. 33. Piechurska-Kuciel E. The big five in SLA. Springer; 2020.
  34. 34. Kitayama S, Park J. Is conscientiousness always associated with better health? A U.S.-Japan cross-cultural examination of biological health risk. Pers Soc Psychol Bull. 2021;47(3):486–98.
  35. 35. Almutairi AF, Albesher N, Aljohani M, Alsinanni M, Turkistani O, Salam M. Association of oral parafunctional habits with anxiety and the Big-Five personality traits in the Saudi adult population. Saudi Dent J. 2021;33(2):90–8. pmid:33551622