METHODS: A cross-sectional study was carried out on 446 older adults aged 50 years and above from 20 randomly selected villages. Respondents were interviewed to collect information on their demographic characteristics and oral health perception, followed by physical examination to measure height, weight and body mass index (BMI) of respondents. The validated Malay version of General Oral Health Assessment Index (GOHAI) was used to measure OHRQoL.
RESULTS: About one-third (35.8%) of the respondents had normal BMI. Majority of the respondents were overweight (40.4%) and obese (19.9%), while only a small proportion was underweight (3.9%). Mean GOHAI score was 53.3 (SD = 4.7), indicating low perception of oral health. About 81.6% respondents had moderate to low perception of oral health. Logistic regression analysis showed a statistically significant association between the GOHAI and BMI scores (OR = 2.3; p
METHODS: A total of 141 periodontitis patients were recruited. Psychological states were assessed using the Malay short-form Depression, Anxiety and Stress Scales (MDASS-21). Subjects were grouped as positive for depression, anxiety or stress (DAS) (positive-DAS), without DAS (non-DAS), stress-only and anxiety-only. OHRQoL was evaluated using the Malay short-form Oral Health Impact Profile (S-OHIP[M]).
RESULTS: OHRQoL was associated with MDASS-21, probing pocket depths, recession, clinical attachment levels, number of teeth present and number of teeth with mobility. S-OHIP(M) of positive-DAS subjects was associated with clinical attachment levels, number of teeth present and presence of anxiety. Anxiety-only subjects reported higher S-OHIP(M) scores compared to the non-DAS group.
CONCLUSION: OHRQoL of all subjects was negatively impacted by periodontitis severity and tooth loss. Combinations of depression, anxiety or stress led to worse periodontal status and OHRQoL. Subjects with anxiety-only experienced poorer OHRQoL compared to those without depression, anxiety and stress regardless of periodontitis severity. Possible impacts of psychological states on periodontitis and OHRQoL highlights the importance of assessing and improving psychological factors as part of periodontal therapy and to enhance OHRQoL.
Materials and methods: Sixty (60) extracted sound Maxilla (Mx) and Mandibular (Mn) premolars were randomly divided into 2 groups (test and control). Artificial WSLs were produced on buccal surface of teeth and were immersed in artificial saliva for 8 weeks. Colour components (L∗, a∗, b∗) and surface roughness (Sa∗) were assessed on 40 teeth using colour difference meter RD-100 and Alicona® Infinite Focus profilometer respectively. The measurements were done at baseline (T1), directly after artificial WSLs (T2), after 24 hours immersed in saliva and application of resin (T3) and immersion in artificial saliva for 1 (T4), 2 (T5), 4 (T6), 6 (T7) and 8 (T8) weeks. SEM images analysis were carried out on 20 teeth in four time points.
Results: The values of L∗ (lightness), b∗ (yellow/blue) and Sa∗ (surface roughness) are gradually reduced to the baseline value. Whereas, the value of a∗ gradually increased with distinct treatment time to achieve the baseline value. The higher value of L∗ and Sa∗, the whiter the lesion suggesting higher degree of enamel demineralization and surface roughness. Lower L∗ values suggest a masking colour effect.
Conclusion: The material produced favorable esthetics on colour and the surface roughness of teeth at distinct treatment times. It is recommended to be used to improve WSL post orthodontic treatment.
MATERIALS AND METHODS: This study included 64 sets of digitised maxilla and mandible dental casts obtained from a sample of dental arch with normal occlusion. For human evaluation, a convenient sample of orthodontic practitioners ranked the photo images of dental cast from the most tapered to the less tapered (square). In the mathematical analysis, dental arches were interpolated using the fourth-order polynomial equation with millimetric acetate paper and AutoCAD software. Finally, the relations between human evaluation and mathematical objective analyses were evaluated.
RESULTS: Human evaluations were found to be generally in agreement, but only at the extremes of tapered and square arch forms; this indicated general human error and observer bias. The two methods used to plot the arch form were comparable.
CONCLUSION: The use of fourth-order polynomial equation may be facilitative in obtaining a smooth curve, which can produce a template for individual arch that represents all potential tooth positions for the dental arch.
METHODS: This study involved 54 subjects (27 pairs) of male-female siblings aged 15 to 45 years. Dental casts were digitized and analyzed for tooth size (TS), arch width (AW), arch length (AL), arch length discrepancy (ALD), and palatal arch dimensions (PAD). The data obtained were subjected to t-tests, and the palatal curvature (PC) was modeled using a fourth-order polynomial.
RESULTS: Significant differences (P < 0.05) between the sexes were found in the mesiodistal TS, particularly in all canines, as well as 16, 36, 46, and 41. Maxillary AW and AL were also significantly (P < 0.05) influenced by sexes. Most arch parameters were more prominent in male siblings, and the effect of age on PC differed between the sexes. In addition, the PC of adolescent females was mostly superimposed on adult females relative to males.
CONCLUSION: Among siblings, males were found to have significantly larger dental arch dimensions than females. Furthermore, PC showed some differences between the sexes in both the frontal and sagittal planes.
METHODOLOGY: This cross-sectional study involved 222 subjects (50% DS, 50% NS) who were matched by gender and age. The casts were digitized into three-dimensional images. These images were used alongside the ten occlusal characteristics of the Dental Aesthetic Index (DAI) to determine malocclusion severity and the need for orthodontic treatment.
RESULTS: There were 58 (52.3%) females and 53 (47.7%) males with a mean age of 18.4 ± 8.4 years in both groups. The most common and significant (p 30). The DS showed some impact of malocclusion traits components of the DAI.
CONCLUSION: The occurrence of malocclusion was higher in DS, implying a higher need for orthodontic treatments than for NS subjects.
MATERIALS AND METHODS: Semistructured in-depth interviews were conducted with 20 parents of children with ECC. A topic guide was developed, focusing on questions relating to (i) the timing of their seeking information on ECC, (ii) the types of EEC information they seek, and (iii) the resources used to seek information. The interviews were audio-recorded and transcribed verbatim. Thematic analysis was performed, whereby the data were coded and categorized into themes and subthemes.
RESULTS: Four main themes were identified: the immediacy of seeking information, perceived information need, use of resources, and barriers to seeking information. Parents either sought information immediately after detecting changes to the appearance of their child's teeth, with some being aware of the changes after signs and symptoms developed. The types of information parents usually sought covered the disease, its prevention, and management. Common sources of information were friends, family, the internet, and healthcare professionals. Barriers to seeking information discussed by parents were lack of time as well as insufficiency and inaccuracy of the information they received.
CONCLUSION: This study highlighted the need for comprehensive, tailored early education on ECC for parents using reliable information sources. There is also a need to empower other nondental healthcare professionals to provide oral healthcare education for parents.
METHODS: Final-year dental undergraduate students from six dental public universities in Malaysia were invited to participate in an online study using a validated Dental Undergraduates Preparedness Assessment Scale DU-PAS.
RESULTS: In total, about 245 students responded to the online questionnaire yielding a response rate of 83.05%. The age range of the respondents was 23-29 years with a mean age of 24.36 (SD 0.797). The total score obtained by the respondents was ranged from 48 to 100 with a mean score of 79.56 (SD 13.495). Weaknesses were reported in several clinical skills, cognitive and behavioural attributes.
CONCLUSIONS: The preparedness of undergraduate students at six dental institutions in Malaysia was comparable to students from developed countries. The dental undergraduate preparedness assessment scale is a useful tool, and dental institutions may be used for self-assessment as well as to obtain feedback from the supervisors.