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Öğe EFFECTS OF AEROBIC AND COMBINED EXERCISE PROGRAMS ON BODY COMPOSITION AND RESTING METABOLIC RATE IN YOUNG ADULTS(University of Ljubljana, 2022) Altunsoy, Kübra; Uçan, Yılmaz; Clemente, Filipe Manuel; Söğüt, MustafaThe purpose of this study was to investigate the effects of 8-week aerobic and combined exercise (aerobic and resistance) modalities on body composition and resting metabolic rate (RMR) in sedentary young adults. Twenty-two physically inactive females (20.9 ± 1.6 years) were recruited to participate in the study. They were randomly assigned to three groups: aerobic exercise group (AEG), combined exercise group (CEG), and control group (CG). The training programs were performed three times a week. The body fat percentage was assessed by the bioelectrical impedance method. The RMR was determined via indirect calorimetry. Within-group analysis revealed no significant differences in body mass index and body fat percentage considering the three groups. However, both training groups increased their RMR significantly (AEG: 12.3%, p= 0.017; CEG: 9.7%, p= 0.043). No significant difference was observed in CG for the RMR. Between-group analysis revealed that participating in aerobic training induced slightly better (but insignificant) improvements in all measures compared to combine training. In conclusion, the results of the study highlighted the positive influences of both aerobic and combine training interventions on the RMR in sedentary female young adults compared to controls. © 2022, University of Ljubljana. All rights reserved.Öğe Exploring obesity, physical activity, and digital game addiction levels among adolescents: A study on machine learning-based prediction of digital game addiction(Frontiers Media Sa, 2023) Gulu, Mehmet; Yagin, Fatma Hilal; Gocer, Ishak; Yapici, Hakan; Ayyildiz, Erdem; Clemente, Filipe Manuel; Ardigo, Luca PaoloPrimary study aim was defining prevalence of obesity, physical activity levels, digital game addiction level in adolescents, to investigate gender differences, relationships between outcomes. Second aim was predicting game addiction based on anthropometric measurements, physical activity levels. Cross-sectional study design was implemented. Participants aged 9-14 living in Kirikkale were part of the study. The sample of the study consists of 405 adolescents, 231 girls (57%) and 174 boys (43%). Self-reported data were collected by questionnaire method from a random sample of 405 adolescent participants. To determine the physical activity levels of children, the Physical Activity Questionnaire for Older Children (PAQ-C). Digital Game addiction was evaluated with the digital game addiction (DGA) scale. Additionally, body mass index (BMI) status was calculated by measuring the height and body mass of the participants. Data analysis were performed using Python 3.9 software and SPSS 28.0 (IBM Corp., Armonk, NY, United States) package program. According to our findings, it was determined that digital game addiction has a negative relationship with physical activity level. It was determined that physical activity level had a negative relationship with BMI. In addition, increased physical activity level was found to reduce obesity and DGA. Game addiction levels of girl participants were significantly higher than boy participants, and game addiction was higher in those with obesity. With the prediction model obtained, it was determined that age, being girls, BMI and total physical activity (TPA) scores were predictors of game addiction. The results revealed that the increase in age and BMI increased the risk of DGA, and we found that women had a 2.59 times greater risk of DGA compared to men. More importantly, the findings of this study showed that physical activity was an important factor reducing DGA 1.51-fold. Our prediction model Logit (P) = 1/(1 + exp(-(-3.384 + Age*0.124 + Gender-boys*(-0.953) + BMI*0.145 + TPA*(-0.410)))). Regular physical activity should be encouraged, digital gaming hours can be limited to maintain ideal weight. Furthermore, adolescents should be encouraged to engage in physical activity to reduce digital game addiction level. As a contribution to the field, the findings of this study presented important results that may help in the prevention of adolescent game addiction.Öğe MATURITY-ASSOCIATED VARIATIONS IN ANTHROPOMETRY, PHYSICAL FITNESS, AND SPORT-SPECIFIC SKILLS AMONG YOUNG MALE AND FEMALE FUTSAL PLAYERS(Termedia Publishing House Ltd, 2022) Sogut, Mustafa; Yapici, Hakan; Luz, Leonardo G. O.; Giudicelli, Bruno; Clemente, Filipe Manuel; Dogan, Ali AhmetPurpose. The aim of this study was to determine the maturity -related variations in anthropometry, physical fitness, and sport -specific skills among young male and female futsal players. Methods. Overall, 77 athletes (44 boys and 33 girls) aged 10.5-13.7 (12.3 +/- 0.9) years were measured for stature, body mass, 2 skinfolds, as well as 3 fitness and 2 sport -specific test items. Results. Compared with boys, girls were significantly more advanced in maturation and had greater body mass index and body fat percentage. Except for the countermovement jump result, boys outperformed girls in all fitness and sport -skill assessments. Regardless of gender, early maturing players were significantly taller and heavier and had higher body fat percentage and grip strength than their late maturing counterparts. In boys, none of the other physical fitness and sport -specific skill measures significantly differed between contrasting maturity groups. In turn, early maturing girls had significantly better scores in all physical fitness measurements than late maturing girls. Partial correlations, with chronological age controlled as a covariate, indicated moderate to high correlations between the maturation indicator and stature and body mass in both boys and girls. Except for grip strength and dribbling tests for boys and girls, respectively, other physical fitness and sport -specific skill measures did not show a significant correlation with maturity status. Conclusions. These results highlight that rather than with functional and sport -specific characteristics, physical maturity status may be associated with greater body size in young futsal players.Öğe Using machine learning to determine the positions of professional soccer players in terms of biomechanical variables(Sage Publications Ltd, 2023) Yagin, Fatma Hilal; Hasan, Uday C. H.; Clemente, Filipe Manuel; Eken, Ozgur; Badicu, Georgian; Gulu, MehmetThis study aimed to predict professional soccer players' positions with machine learning according to certain locomotor demands. Data from 20 male professional soccer players (five defenders, eight midfielders, and seven attackers) from the same team were tracked daily with a global navigation satellite system. A total of 1910 individual training sessions were recorded. The 10-fold cross-validation method was used. Soccer player positions were predicted using predictive models created with random forest (RF), gradient boosting tree, bagging classification, and regression trees algorithms, and the results were evaluated with comprehensive performance measures. Ratios and an importance plot were used to analyze the importance of the variables according to their contributions to the estimation. The findings show that the RF model achieved 100% accuracy, which means that RF can predict all player positions (100%). Running distance (26.5%), total distance (17.2%), and player load (15.8%) were the three variables that contributed the most to the estimation of the RF model and were the most important factor in distinguishing player positions. Consequently, our proposed machine learning approach (RF model) can reduce false alarms and player mispositioning.Öğe Variations in Central Adiposity, Cardiovascular Fitness, and Objectively Measured Physical Activity According to Weight Status in Children (9-11 Years)(Frontiers Media Sa, 2019) Sogut, Mustafa; Clemente, Filipe Manuel; Clark, Cain C. T.; Nikolaidis, Pantelis Theodoros; Rosemann, Thomas; Knechtle, BeatThe purpose of this study was twofold: first, to compare the central adiposity (CA), cardiovascular fitness (CF), and physical activity (PA) in children with different weight status, and second, to determine the associations between moderate to vigorous physical activity (MVPA) and measures of adiposity [CA and body mass index (BMI)] and CF. A sample of 244 children (boys = 120 and girls = 124), 9.7-10.8 years of age (10.3 +/- 0.3 years), was measured for stature, body mass, waist circumferences, and 20-m multi-stage fitness test. PA was recorded with ankle mounted accelerometer. BMI groups were used to classify children as underweight (UW), normal weight (NW), and overweight (OW). The prevalence of being OW was 21.7 and 25% in boys and girls, respectively. Only 5.3% of the participants were found to accumulate recommended amount (>= 60 min/day) of MVPA. Boys were significantly outperformed girls in terms of CE Moreover, they were significantly more engaged in moderate and vigorous physical activities than girls. Regardless of gender, results indicated that OW children had significantly higher values in all anthropometric parameters and lower level of CF than their UW and NW counterparts. In girls, OW children were found to accrue less time engaging in MVPA than the children in UW and NW groups. In boys, OW children were found to accrue less time engaging in vigorous activities than UW and NW children. Results also showed that there were no significant differences between UW and NW girls and boys in respect to CF. Besides, UW girls were found to accrue more time engaging in MVPA than NW girls. MVPA was found to be significantly and negatively correlated with BMI and waist circumference and significantly and positively correlated with CF in both boys and girls. These discrepancies and associations highlight the considerable influences of MVPA on weight status and CF in children.
