Assessing prevalence of temporomandibular disorders among university students: A questionnaire study

Karthik, R; Hafila, M I. Fathima; Saravanan, C.; Narayanan, Vivek; Priyadarsini, P; Ashwath, B

doi:10.4103/jispcd.jispcd_146_17

Cited by 33 publications

(28 citation statements)

References 19 publications

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“…Similar to the role of psychological factors in the development of TMD, test anxiety is assumed to increase the risk of TMD in health sciences students [ 26 ]. This data supporting the association between test anxiety and TMD can be of great importance for the prevention and management of these conditions particularly in health professions students who are more prone to develop TMD than other students [ 25 ]. However, the association through the application of Fonseca's questionnaire and Test Anxiety Inventory should be further investigated.…”

Section: Discussionsupporting

confidence: 54%

“…TMD was observed in 42.9% of university students in Taiwan [ 23 ], and 30.6% of medical and dental students demonstrated TMD in Nepal [ 24 ]. However, in India, 22.6% of university students reported the symptoms of TMD [ 25 ]. These variations in the prevalence estimates can be related to racial differences, demographic factors in each study, and diversity in study methodology [ 12 , 16 ].…”

Section: Discussionmentioning

confidence: 99%

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Association of Test Anxiety with Temporomandibular Disorder in Health Professions Students: A Cross-Sectional Study

Shahin

Bakhurji

Al-Sulaiman

et al. 2020

International Journal of Dentistry

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Objective. To assess the prevalence of temporomandibular disorder (TMD) and its association with text anxiety among undergraduate medical, dental, and pharmacy students in Dammam, Saudi Arabia. Material and Methods. This cross-sectional study included health professions students who responded to Fonseca’s questionnaire and Test Anxiety Inventory by Spielberger to evaluate TMD and test anxiety, respectively. TMD score was compared in different categories of students, and bivariate and multiple logistic regression analyses evaluated the influence of test anxiety on TMD. Results. The study included 884 participants (44.8% males and 55.2% females) with a mean age of 21.46 ± 1.36 years. Regarding items of Fonseca’s questionnaire, most students reported being tense/nervous (65.7%) and had headaches (57.5%). About 45.8% of the participants reported no TMD, and remaining had mild (40.4%), moderate (11.3%), and severe (2.5%) TMD. The mean TMD score was significantly higher in students with high test anxiety (25.6 ± 18.32) than those with low test anxiety (20.25 ± 16.97) ( P < 0.001 ). Mean test anxiety scores significantly differed among TMD categories ( P < 0.001 ) with the lowest score in the no TMD group and the highest in the moderate TMD group. Female gender (adjusted odds ratio 1.4, P 0.039) and high test anxiety (adjusted odds ratio 1.92, P < 0.001 ) were significantly associated with increased odds of having TMD. Conclusions. The study revealed a high prevalence of TMD among students. There was a significant association between test anxiety and TMD. The data obtained may guide preventive policies and program on test anxiety and TMD.

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Section: Discussionsupporting

confidence: 54%

Section: Discussionmentioning

confidence: 99%

Association of Test Anxiety with Temporomandibular Disorder in Health Professions Students: A Cross-Sectional Study

Shahin

Bakhurji

Al-Sulaiman

et al. 2020

International Journal of Dentistry

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“…Statistical analysis was carried out in SPSS 14.0. The T-test was used to analyze the difference in the continuous variables between the two groups, and the chi-square test was used to evaluate clinical categorical measures (23,24). The Pearson correlation coefficient was used to calculate the correlations between age and identified metabolites in the two groups.…”

Section: Discussionmentioning

confidence: 99%

Targeted Metabolomic Profiling Reveals Association Between Altered Amino Acids and Poor Functional Recovery After Stroke

et al. 2020

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Amino acids have been shown to be among the most important metabolites to be altered following stroke; however, they are a double-edged sword with regard to regulating hemostasis. In this study, we conducted a targeted metabolomic study to examine the association between serum levels of amino acids and functional recovery after stroke. Three hundred and fifty-one patients with stroke admitted to an acute rehabilitation hospital were screened, and 106 patients were selected based on inclusion and exclusion criteria. Recruited patients were stratified using Montebello Rehabilitation Factor Score (MRFS) efficiency. We selected the top (n = 20, 19%) and bottom (n = 20, 19%) of MRFS efficiency for metabolomic analysis. A total of 21 serum amino acids levels were measured using ultra high performance liquid chromatography and mass spectrometry. The normalized data were analyzed by multivariate approaches, and the selected potential biomarkers were combined in different combinations for prediction of stroke functional recovery. The results demonstrated that there were significant differences in leucine-isoleucine, proline, threonine, glutamic acid, and arginine levels between good and poor recovery groups. In the training (0.952) and test (0.835) sets, metabolite biomarker panels composed of proline, glutamic acid, and arginine had the highest sensitivity and specificity in distinguishing good recovery from poor. In particular, arginine was present in the top 10 combinations of the average area under the receiver operating characteristic curve (AUC) test set. Our findings suggest that amino acids related to energy metabolism and excitotoxicity may play an important role in functional recovery after stroke. Therefore, the level of serum arginine has predictive value for the recovery rate after stroke.

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“…This concluded that age, as a factor, was not signi icant in the prevalence of TMJ disorder. Karthick et al also found the same signi icant indings (Ha ila et al, 2017). In contrast, Menghelli et al and Bertoli et al showed students in older age signi icantly were prevalent of developing TMDs (de Paiva Bertoli et al, 2018;Minghelli et al, 2014).…”

Section: Resultsmentioning

confidence: 80%

“…Modi et al reported 159 subjects of 21-22 years were the most affected with TMD as compared to other 97 subjects who were below 20 years (Modi et al, 2012). A previous study among undiagnosed undergraduate students demonstrated a higher prevalence of TMD in students of 22-23 years (Ha ila et al, 2017). The prevalence of TMD can affect any individual of any age group, with a higher proportion seen in women aged 20-45 years (Minghelli et al, 2014).…”

Section: Resultsmentioning

confidence: 90%

Prevalence of Temporomandibular Joint Disorders Among Dental Patients in A Private Institution

Shukri

Kumar

Balasubramaniam

2020

ijrps

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Temporomandibular joints (TMJ) are the bilateral synovial articulation between temporal bone and lower jaw, seen on each side of the jaws. Temporomandibular joint disorders (TMD) can be defined as the tenderness of the jaws and dysfunction of the associated muscles of mastication and the temporomandibular joints, which connect the mandible to the skull. The exact cause of TMD still remains mysterious and unclear. However, the possible attributes of TMD are arthritis, trauma or blow to the TMJ, excessive gum chewing and bruxism. Patients are usually treated with ice packs, gentle massage at the jaw area and prescription of nonsteroidal anti-inflammatory drugs (NSAIDs). This study sought to evaluate the incidence rate, age and gender differences of TMD among patients reporting to Saveetha Dental College and Hospital. The following parameters were evaluated based on the dental records; age, gender and types of TMD. Excel tabulation and SPSS version 23 was used for data analysis. The prevalence of temporomandibular disorders was higher in female patients (51.9%) than male patients (48.1%). The most frequent age group affected by temporomandibular disorders was 31-40 years (36.7%). Disc-condyle disorder (75.9%) is the most frequent sub-type of temporomandibular disorders present in the patients. There was no statistically significant correlation between age and TMD (p=0.847); and gender and TMD (p=0.365). It can be concluded that within the limits of study, TMD was present in adulthood and was more common in women, with disc-condyle disorder being the most prevalent type.

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Assessing prevalence of temporomandibular disorders among university students: A questionnaire study

Cited by 33 publications

References 19 publications

Association of Test Anxiety with Temporomandibular Disorder in Health Professions Students: A Cross-Sectional Study

Association of Test Anxiety with Temporomandibular Disorder in Health Professions Students: A Cross-Sectional Study

Targeted Metabolomic Profiling Reveals Association Between Altered Amino Acids and Poor Functional Recovery After Stroke

Prevalence of Temporomandibular Joint Disorders Among Dental Patients in A Private Institution

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