Background/Aim. Adolescents are vulnerable group in term of acquisition of oral health-related knowledge, habits and attitudes. That is why the aim of this study was to investigate the associations between dental status, dental anxiety and oral health-related behavior and oral healthrelated quality of life as captured by Oral Impacts on Daily Performances (OIDP) index. Methods. This crosssectional survey included representative sample of 404 adolescents (15 years old), randomly recruited from high schools in Belgrade, Serbia. The adolescents were interviewed using Serbian versions of eight-item OIDP index, Hiroshima University Dental Behavior Inventory (HU-DBI) and modified Corah's Dental Anxiety Scale (MDAS). Three previously trained and calibrated dentists examined the subjects in the classrooms to determine the oral health status of adolescents [the Decayed, missing, filled teeth (DMFT) index and visual signs of gingivitis]. Results. At least one oral impact was reported in 49.50% of adolescents. Most frequently, oral health problems affected eating (26.73%), tooth cleaning (27.47%) and sleep and relaxation (16.83%). In comparison with adolescents without oral impacts, the adolescents with at least one oral impact reported, had higher DMFT score, more often reported problems with bleeding gums, usage of hard toothbrush, worries about the color of their teeth and seeing the dentist because of the symptoms. Logistic regression showed that dental anxiety (MDAS score), dental behavior (HU-DBI score) and worrying about the color of the teeth significantly affected OIDP score. Conclusion. Oral healthrelated quality of life among adolescents was affected by their behavior and dental anxiety levels. Implementing public health policies that target adolescents with poor oral health or bad habits might be helpful in improving their oral health-related quality of life.

The aim of this study was to determine the impact of oral health on adolescent quality of life and to compare the results obtained using standard statistical methods and artificial intelligence algorithms. In order to measure the impact of oral health on adolescent quality of life, a validated Serbian version of the Oral Impacts on Daily Performance (OIDP) scale was used. The total sample comprised 374 respondents. The obtained results were processed using standard statistical methods and machine learning, i.e., artificial intelligence algorithms—singular value decomposition. OIDP score was dichotomized into two categories depending on whether the respondents had or did not have oral or teeth problems affecting their life quality. Human intuition and machine algorithms came to the same conclusion on how the respondents should be divided. As such, method quality and the need to perform analyses of this type in dentistry studies were demonstrated. Using artificial intelligence algorithms, the respondents can be clustered into characteristic groups that allow the discovery of details not possible with the intuitive division of respondents by gender.

Purpose:The aim of this investigation was to determine whether the facial esthetics of subjects rated as "attractive" can be related to specific cephalometric soft tissue parameters. Methods: The profile silhouettes of 100 subjects (45 males and 55 females) were rated by 60 esthetics specialists (20 orthodontists, 20 dentists, and 20 plastic surgeons) using a Likert scale, and 30 of the subjects were selected as being "attractive". The cephalometric measurements of the attractive group were then compared with norms for the general Caucasian population. Results:The effects of specific measured parameters on profile beauty grades were assessed using the median test, and the following variables were found to show significant correlations between the Caucasian norms and the attractive profile group: the ratio of the upper to lower face height (P = 0.011), the ratio of the subnasale -labrale inferius (Sn-Li) and labrale inferius -menton (Li-Me`) lines (P = 0.011), the distance between the chin and the subnasale perpendicular (P = 0.002), upper lip thickness (P = 0.021), soft tissue chin thickness (P = 0.021), vertical height ratio (P = 0.021), and nasolabial angle (P = 0.021). Conclusion:A straight profile with a fuller and more protruded upper lip, a higher nasal tip, and a smaller lower facial third are considered to be the most attractive facial features, and may be useful for improvement of facial esthetics.

Background/Aim. A period of adolescence is characterized by turbulent emotional, physical and physiological changes. There are numerous risk factors that may endanger the oral health of adolescents as the influence of parents reduces whilst the influence of the environment and peers increases. Therefore, the main aim of the study was to determine the behavior of adolescents concerning oral health, using a new statistical method -artificial intelligence algorithms. Methods.In the first part of the survey, data on the behavior of adolescents related to oral health were collected. HU DBI (Hiroshima University Dental Behavioral Inventory) questionnaire was used, additionally expanded with three questions. The second part of the study included clinical examination. The research was conducted at the Faculty of Dentistry in Pancevo. The first and second grade students were selected for the observation unit. The total sample consisted of 374 students (128 males and 246 females). We applied special programming language called Python for parsing data, creating a database in digital form, processing data by standard statistical methods and through the SVD (Singular Value Decomposition) method.Results. The artificial intelligence algorithms clustered the respondents in two groups, based on their responses from the HU DBI questionnaire. Thus, the quality of the method and the need for analysis of this type in dental studies are demonstrated and proven.Conclusion. Based on the results obtained through artificial intelligence algorithms, we could conclude that respondents should be rather clustered into characteristic groups and analyzed, than to be divided and observed according to sex, as it is intuitive division. Apstrakt Uvod/Cilј. Period adolescencije karakterišu burne emocionalne, fizičke i fiziološke promene. Javlјaju se brojni faktori rizika koji mogu ugroziti oralno zdravlјe adolescenata jer se uticaj roditelјa smanjuje, a raste uticaj okoline i vršnjaka. Sledstveno, glavni cilј istraživanja bio je da se utvrdi ponašanje adolescenata u vezi oralnog zdravlјa, pri čemu je primenjena nova statistička metodaalgoritmi veštačke inteligencije. 4 Metod. U prvom delu istraživanja, prikuplјeni su podaci o ponašanju adolescenata u vezi sa oralnim zdravlјem. Korišćen je HU DBI upitnik Univerziteta u Hirošimi (Hiroshima University Dental Behavioral Inventory), koji je proširen sa tri pitanja. Drugi deo istraživanja obuhvatio je klinički pregled. Istraživanje je sprovedeno na Stomatološkom fakultetu u Pančevu. Za jedinicu posmatranja izabrani su učenici prvog i drugog razreda srednje škole. Veličina ukupnog uzorka bila je 374 ispitanika (128 ispitanika muškog pola i 246 ispitanika ženskog pola). Za analizu podataka, pravlјenje baze podataka u digitalnoj formi, obradu podataka standardnim statističkim metodama i SVD metodom (Singular Value Decomposition -dekompozicija na singularne vrednosti), korišćen je Piton (Python) program programskog jezika.Rezultati. Algoritmi veštačke inteligencije klasterifikovali su ispitanike u dve grupe, ...

Summary Background: The aim of this study was to assess the oral health-related quality of life in adult patients who visit the Dental Clinic of the Faculty of Stomatology, Pancevo, using a Serbian version of 14-items Oral Health Impact Profile (OHIP14) Questionnaire. Material and Methods: A total of 89 respondents (42 women and 47 men, mean age 52.83 ± 13.74 years) filled in the questionnaire themselves. Three calibrated dentists recorded the oral health status of the respondents (number of healthy, decayed, filled and missing teeth), the type and time of wearing prosthodontic replacements, if they existed, and assessed the need for prosthodontic treatment. The total OHIP-14 score was calculated by adding scores for all fourteen items; OHIP-14 subscale scores were calculated by adding the scores for the two items in each of the seven subscales. Results: Mean total OHIP score was 10.25 ± 8.89. Patients with less than eight extracted teeth, wearers of fixed prosthodontic appliances and patients without replacements who did not need prosthodontic treatment reported better oral health-related quality of life. The most severe oral impacts assessed by the subscale OHIP14 scores were recorded in psychological discomfort (2.44 ± 2.18), physical pain (1.87 ± 1.73) and psychological disability subscale (1.83 ± 1.88). Women more often than men were dissatisfied with their diet and had been irritable in contact with other people. Conclusion: Further studies using the OHIP14 questionnaire in a larger sample will permit identification of key factors related to poor oral health and planning of treatment protocols and preventive programs for the adult population in Serbia.