Browsing by Author "Jović, Jelena (55345742600)"

SUMMARY Introduction/Objective Body fat percentage (BFP) is the most reliable indicator of the nutritional status. For clinical practice, it is important but also insufficiently examined whether the determination of BFP should be relied exclusively on the latest methods or whether classical anthropometric methods are also reliable. The aim was to investigate the correlation between the results of BFP measuring using a contemporary method of bioimpedance and classic methods of skin fold thickness (SFT) and body mass index (BMI). Method There were 279 patients of the Dietetic Counseling Center of the Institute for Public Health in Niš who were included in the research during 2015. BFP was determined using three classic anthropometric methods: SFT over the triceps, SFT over the scapula, and BMI. OMRON BF 302 apparatus was used for BFP measuring using the bioimpedance method. Results Using single-factor analysis of variance we found a statistically significant difference between the mean values of the BFP obtained with bioimpedance and those obtained with anthropometric methods (F = 24.19, p < 0.05). Post hoc analysis revealed a statistically significant difference between the BFP determined with bioimpedance and SFT over the triceps and the scapula, while the anthropometric method based on BMI gave the results similar to those from bioimpedance. Conclusion We show that the most reliable anthropometric method of determination of BFP is that based on BMI, as its results correlate best with those obtained with a contemporary method of bioimpedance. © 2020, Serbia Medical Society. All rights reserved.

Background/Aim. The northern part of Kosovo was one of the largest lead and zinc production industries in Europe. Special attention has been paid to the landfill sites of these metals remained after past industrial activities. The inhabitants of Roma camps in this area are collecting led waste they process by crushing and melting in their shacks in primitively organized working environments. Because of all the aforementioned it was necessary to examine the concentration of blood lead level (BLL) in the children aged less than 6 years inhabiting this area, especially taking care of blood analysis of children living in Roma camps. Methods. The study was conducted in the municipality of Leposavić, Province Kosovo and Metohija, Serbia. Totally 78 subjects participated in the study. All the subjects were divided into two groups: the group I consisting of 42 children who lived in the Romas camp, and the group II with 36 children from a city kindergarten. Based on the mathematical model WRPLOT we found out that both groups of patients were in the low risk zone for industrial contamination exposure. Blood analysis was done according to the protocol provided by ESA Lead Care. Results. The average age of participants in the study was 4.60 ± 1.63 years. The mean BBL in the children from the group 1 was 19.11 μg/dL and from the group 2 4.87 μg/dL. There was a statistically significant difference in the mean values of BBL between the groups (U = 39, p < 0.001). All of the children from the group 1 had BBL greater than 5 μg/dL in comparison to 38.9% of the children from the group 2 (χ2 = 35.75, p < 0.001). Conclusion. Although both groups were located outside the zone of direct spread of pollution, the results indicate high concentrations of lead in blood of all the examined children. The concentration was higher in the children who lived in the area in which illegal processing of lead waste took place. © 2017, Institut za Vojnomedicinske Naucne Informacije/Documentaciju. All rights reserved.

Background: By using algorithms and Machine Learning – ML techniques, the aim of this research was to determine the impact of the following factors on the development of Problematic Internet Use (PIU): sociodemographic factors, the intensity of using the Internet, different contents accessed on the Internet by adolescents, adolescents’ online activities, life habits and different affective temperament types. Methods: Sample included 2,113 adolescents. The following instruments were used: questionnaire about: socio-demographic characteristics, intensity of the Internet use, content categories and online activities on the Internet; Facebook (FB) usage and life habits; The Internet Use Disorder Scale (IUDS). Based on their scores on the scale, subjects were divided into two groups – with or without PIU; Temperament Evaluation of Memphis, Pisa, Paris, and San Diego scale for adolescents (A-TEMPS-A). Results: Various ML classification models on our data set were trained. Binary classification models were created (class-label attribute was PIU value). Models hyperparameters were optimized using grid search method and models were validated using k-fold cross-validation technique. Random forest was the model with the best overall results and the time spent on FB and the cyclothymic temperament were variables of highest importance for these model. We also applied the ML techniques Lasso and ElasticNet. The three most important variables for the development of PIU with both techniques were: cyclothymic temperament, the longer use of the Internet and the desire to use the Internet more than at present time. Group of variables having a protective effect (regarding the prevention of the development of PIU) was found with both techniques. The three most important were: achievement, search for contents related to art and culture and hyperthymic temperament. Next, 34 important variables that explain 0.76% of variance were detected using the genetic algorithms. Finally, the binary classification model (with or without PIU) with the best characteristics was trained using artificial neural network. Conclusion: Variables related to the temporal determinants of Internet usage, cyclothymic temperament, the desire for increased Internet usage, anxious and irritable temperament, on line gaming, pornography, and some variables related to FB usage consistently appear as important variables for the development of PIU. Copyright © 2024 Jović, Ćorac, Stanimirović, Nikolić, Stojanović, Bukumirić and Ignjatović Ristić.