Consanguinity-related hyperdontia: An orthopantomographic study

Background: The aim of this retrospective study was to describe the distribution of the non-syndromal supernumerary teeth (NSST) in a population of patients who attended the clinics of Riyadh Colleges of Dentistry and Pharmacy (RCsDP), Riyadh, Saudi Arabia. Materials and Methods: The study reviewed 1521 panoramic radiographs of Saudi and non-Saudi subjects who attended RCsDP clinic from November 2009 to November 2010. The data were analyzed using the Statistical Package for Social Sciences, utilizing Chi-square. Results: Eighteen (1.2%) patients were found to have NSST, comprising twelve males (66.7%), and six females (33.3%). The most common supernumerary teeth (ST) were the pre-molars six cases (33.3%), followed by the mesiodens, five cases (27.8%). The canines and distomolars three cases (16.6%) each respectively, while the least were the lateral incisors and paramolars of the two cases (11.1%) each. Conclusion: Consanguinity appeared to have a role in the development of hyperdontia in Saudi population because 13 cases (72.2%) out of 18 cases had consanguineous parents, while all patients having consanguineous parents had eumorphic ST

Association between Self-Reported Bruxism and Sleeping Patterns among Dental Students in Saudi Arabia: A Cross-Sectional Study

Objectives. The aim of this cross-sectional study was to identify sleeping patterns among dental students and their association with self-reported bruxism in Riyadh Colleges of Dentistry and Pharmacy (RCsDP). Methods. A cross-sectional study was performed including 549 students (67 men and 482 women). A structured questionnaire was adopted from The PSQI (The Pittsburgh Sleep Questionnaire Index) used for data collection. It included questions which are categorized into sleeping habits, sleep-related symptoms, and additional questions concerning bruxism. This questionnaire was randomly distributed among all college preclinical and postclinical students. Sleep bruxism diagnosis was based on self-reported data. The data were analyzed using Chi-square tests through SPSS software for Windows. Results. Statistical analyses revealed significant correlations between self-reported bruxism and sleeping habits including sleep initiation ( 2 = 22.6, = 0.000), continuous sleep until morning ( 2 = 19.2, = 0.001), nighttime sleep duration ( 2 = 20.2, = 0.000), and length of daytime naps ( 2 = 28.35, = 0.000). There was an association between self-reported bruxism and sleeping-related symptoms including awakening early in the morning before the usual time without a cause ( 2 = 16.52, = 0.000) and increased nightmares ( 2 = 13.7, = 0.001). Conclusions. Poor sleeping pattern was an important factor among dental students, who reported sleep bruxism