Objective:To investigate the sleep patterns of dental students from different academic levels and to determine the effect of sleep patterns on the academic performance of students.Methods:A self-reported questionnaire was designed and distributed among 1160 students from clinical and non-clinical levels to measure the sleep-related variables and academic performance. The questionnaire included questions on demographics, sleep habits, sleep quality index (PSQI), and grade point averages (GPAs). Data were analyzed with standard statistical software (SPSS, Statistical Package for the Social Sciences, version 22, Chicago, IL, USA).Results:The response rate was 62%. Sixty five percent of the students described their sleep as good or very good, whereas 35% described their sleep as bad or very bad. The mean number of hours of sleep per night for all students was 5.85 ± 1.853 hours. The GPA had a significant negative correlation with PSQI scores. The clinical group showed a stronger negative correlation (P = −0.351) than the nonclinical group (P = −0.134).Conclusion:It can be concluded that dental students tend to have poor sleep quality, which is unknown to them. Poor sleep quality was associated with lower academic performance, especially in clinical years.

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This study was conducted to assess the usefulness of the gingival crevicular blood for estimating the glucose level during routine periodontal examination using Xitux Diagnostics Smart-X self-monitoring blood glucose device among Jordanian patients attending dental teaching clinics. A total of 34 type 2 diabetic patients (18 males and 16 females) and 26 non-diabetic patients (14 males and 12 females) participated in this study. Glucose level was measured in a sample of gingival crevicular blood and in another sample obtained by finger puncture using a self-monitoring device. Glucose measurements from gingival crevicular blood samples, ranged from 57 to 250 mg dl-1 with a mean of 125.4+/-60.7 mg dl-1 (+/-SD) and glucose measurements obtained by finger puncture, ranged from 62 to 263 mg dl-1 with a mean of 131.9+/-61.1 mg dl-1. Pearson's correlation coefficient was performed to assess the correlation between the glucose measurements in these two samples. Pearson's correlation coefficient showed an almost perfect positive correlation between the gingival readings and finger-puncture readings (r=0.997, P<0.0001). In conclusion, gingival crevicular blood can provide an acceptable source for measuring blood glucose level. However, the technique to obtain an acceptable blood sample from gingival crevices is not always feasible which would limit its application as a clinical practice. Additional studies that refine this technique and use larger sample size are recommended.

Objective To compare the marginal and internal adaptation of endocrowns produced using conventional technique, digital technique, and combination (cast digitization) techniques using microcomputed tomography (micro‐CT). Materials and Methods Ten freshly extracted human mandibular molar teeth were prepared for all‐ceramic endocrowns. A total of 40 Lithium Disilicate (IPS e.max) endocrowns were fabricated and grouped according to the impression and production technique to four groups: Group (CO): Conventional impression/heat pressed endocrowns (n = 10), Group (CAD): Direct scanning of teeth/CAD‐CAM endocrowns (n = 10), Group (COMIO): Combination; Cast digitization using Intraoral scanner/CAD‐CAM endocrowns (n = 10), Group (COML): Combination; Cast digitization using laboratory scanner/CAD‐CAM endocrowns (n = 10). Micro‐computed tomography was used to measure the marginal and internal gaps in 11 predetermined sites. Mean marginal and internal gaps were compared using analysis of variance and Scheffe's post hoc test. Results CO, CAD, COMIO, and COML groups showed significant differences in the mean marginal gap (150 ± 35 μm, 120 ± 27 μm, 110 ± 24 μm, 120 ± 29 μm, respectively p = 0.013), gap at line angle (280 ± 70 μm, 130 ± 37 μm, 140 ± 54 μm, 130 ± 33 μm, respectively, p < 0.001), gap at cavity wall (210 ± 76 μm, 140 ± 43 μm, 140 ± 52 μm, 150 ± 44 μm, respectively, p = 0.010) and gap at pulpal floor (500 ± 150 μm, 240 ± 58 μm, 260 ± 59 μm, 240 ± 64 μm, respectively, p < 0.001). Conclusion Digitally fabricated endocrowns showed superior marginal and internal fit compared to the conventionally fabricated endocrowns. Clinical Significance Marginal and internal adaptation are detrimental factors for the success and survival of dental restorations including endocrowns. When compared with the conventional impressions and conventional production techniques, Digital workflow is more predictable and reliable as it reduces errors and improves the accuracy of fit.