Maxillary dimensions and arch shape with palatally displaced canines.

BACKGROUND/OBJECTIVES: The aim of this study was to explore the effect of palatally displaced canines on maxillary dimensions and arch shape. METHODS: Occlusal and skeletal landmarks were plotted on cone beam computed tomography (CBCT) images of 156 orthodontic patients: 78 with palatally displaced canines (PDC) (27 left, 28 right, and 23 bilateral) and 78 controls using Mimics™ (Materialise, Belgium). Arch forms were created, and arch width, depth, and skeletal dimensions were measured. T-test (P < 0.05) was used to compare the groups. Geometric Morphometrics (GM) analysis was used to compare the groups and to explore the pattern of covariation between two sets of landmarks. RESULTS: The unilateral PDC group showed an increased first premolar, second premolar, molar widths, and an increased molar depth. No significant difference was found in arch form. The skeletal measurements were generally larger in the PDC group, but the transverse measurements were the most significant. Discriminant Function Analysis (DFA) with cross-validation allowed an accurate classification of 85.9% of the control group and 66.7% of the PDC group. The Mahalanobis distance displayed significant differences among three combinations of groups. Strong covariance was found between the second premolar and all other landmarks. LIMITATIONS: The small sample sizes of the stratified groups precluded recognition of statistical significance. CONCLUSIONS: Patients with unilateral PDC displayed significantly wider first, second premolar, and first molar widths, and increased first molar depths. There were no significant differences in arch form; however, GM showed significant differences between the groups and a prominent covariance function for the 2nd premolars.

Exploring the latitude of attitude: Intentions to breastfeed among adolescents in Lebanese schools.

School-based breastfeeding education (SBBE) may help improve breastfeeding rates in the long-term by targeting children and adolescents' knowledge, attitudes, skills, and intentions. Breastfeeding rates in Lebanon are suboptimal. Psychosocial drivers of breastfeeding intention among the youth are unknown. We administered a survey to 658 high school students (448 females; 210 males) at two large Lebanese schools to understand intentions, intention drivers, and views on SBBE as means to guide SBBE programme design on the basis of the theory of planned behaviour. We collected information on demographics, intention to breastfeed/support wife to breastfeed future. Intention was predicted by attitude related to breastfeeding health outcomes and family normative beliefs-χ2 (25) = 115, P < .001 for males, and χ2 (39.3) = 186, P < .001 for females. Among females, intention was also positively associated with being breastfed, higher socio-economic status, and being more accepting of public breastfeeding. Seventy-eight per cent of students felt they were not learning enough about breastfeeding in school but were interested in SBBE through didactic teaching methods and interactive experiences. Findings indicate that breastfeeding intention among adolescent students is not merely influenced by the extent of knowledge but by more complicated psychosocial drivers that may differ by gender. Our findings also suggest a misalignment exists between what schools are providing with what students feel they need, thereby opening up a potential space for intervention.

BioAlder: a tool for assessing chronological age based on two radiological methods.

We have created the tool BioAlder as an age prediction model based on the systems Greulich and Pyle (hand) and the Demirjian's grading of the third molar tooth. The model compiles information from studies representing a total of 17,151 individuals from several parts of the world. The model offers a solution where issues as group-wise data format and age mimicry bias are bypassed. The model also provides a solution for combining the two grading systems, hand and tooth, to one combined age prediction result assuming independency. We have tested our model of age prediction and the independency assumption on a separate data set from Lebanon with 254 young individuals. The prediction intervals of BioAlder covered most of the data points; however, we observed some outliers. Our analyses indicate at least a weak dependency between the two methods.