SUMMARY:Anthropologists recognized the tallness of nations in the Dinaric Alps long time ago. As the modern Serbians fall more into the Dinaric racial classification than any other does, the purpose of this study was to examine the body height in Serbian adults as well as the relationship between arm span as an alternative to estimating the body height, which vary in different ethnic and racial groups. The nature and scope of this study analyzes 394 students (318 men, aged 20.13±1.47 and 76 women, aged 19.59±1.46) from the University of Novi Sad to be subjects. The anthropometric measurements were taken according to the protocol of the ISAK. Means and standard deviations were obtained. A comparison of means of body heights and arm spans within each gender group and between genders were carried out using a t-test. The relationships between body height and arm span were determined using simple correlation coefficients and their 95% confidence interval. Then a linear regression analysis was performed to examine the extent to which the arm span can reliably predict body height. The results have shown that male Serbians are 181.96±6.74 cm tall and have an arm span of 184.78±8.41 cm, while female Serbians are 166.82±5.88 cm tall and have an arm span of 164.67±8.09 cm. Compared to other studies, the results of this study have shown that both genders make Serbian population one of the tallest nations on the earth. Moreover, the arm span reliably predicts body height in both genders. However, the estimation equations, which were obtained in Serbians, are substantially different alike in other populations, since arm span was close to body heights: in men 2.82±4.89 cm more than the body height and in women 2.15±4.68 cm less than the body height. This confirms the necessity for developing separate height models for each population.
The purpose of this study was to describe anthropometric characteristics and body composition of elite soccer and basketball players as well as to make comparisons between them. Seventy-one males were enrolled in the study, divided into three groups: twenty-six soccer players, fourteen basketball players and thirty-one healthy sedentary subjects. All subjects were assessed for the anthropometric measures required for the calculation of body composition variables, using the standardized procedures recommended by established literature. Data was analyzed using SPSS and the descriptive statistics were expressed as a mean (SD) for each variable, while the ANOVA and LSD Post Hoc tests were carried out to detect the effects of each type of sport. The results showed there was no significant difference in body mass index among the groups, while a significant difference was found for body height and body weight as well as for all three of the body contents measured (muscle, bone and fat) among the groups. Basketball players were significantly taller and heavier than soccer players and the subjects of the control group, while there was also a significant difference between the weight of soccer players and the subjects of the control group, who were significantly heavier. The muscle and bone contents in the bodies of the subjects in the control group were significantly lower than that of all other subjects while there was no difference between soccer and basketball players. Lastly, the fat content in the body of the subjects in the control group was significantly higher than that of all of the other subjects, while there was no difference between soccer and basketball players. Therefore, these findings may give coaches from the region better working knowledge and suggest them to follow recent selection process methods and to be more careful during the recruitment.
Handedness is most often measured by questionnaires that assess an individual’s preference for using a particular hand to perform a variety of tasks. While such assessments have proved reliable, they do not address the underlying neurobehavioral processes that give rise to the choice of which hand to use. Recent research has indicated that handedness associated with hemispheric specializations for different aspects of sensorimotor performance. We now hypothesize that an individual’s choice of which hand to use for a given task should result from an interaction between these underlying neurobehavioral asymmetries with task conditions. We test this hypothesis by manipulating two factors in targeted reaching movements: 1) Region of workspace and 2) visual feedback conditions. The first manipulation modified the geometric and dynamic requirements of the task for each arm, whereas the second modified the sensorimotor performance asymmetries, an effect predicted by previous literature. We expected that arm choice would be reflected by an interaction between these factors. Our results indicated that removing visual feedback improved the relative performance of the non-dominant arm and increased the choice to use this arm for targets near midline, an effect that was enhanced for targets requiring larger movement amplitudes. We explain these findings in the context of the dynamic dominance hypothesis of handedness and discuss their implications for the link between hemispheric asymmetries in neural control and hand preference.
The aim of this study was to compare the coincidence-anticipation timing accuracy of athletes of different racket sports with various stimulus velocity requirements. Ninety players (15 girls, 15 boys for each sport) from tennis (M age = 12.4 yr., SD = 1.4), badminton (M age = 12.5 yr., SD = 1.4), and table tennis (M age = 12.4 yr., SD = 1.2) participated in this study. Three different stimulus velocities, low, moderate, and high, were used to simulate the velocity requirements of these racket sports. Tennis players had higher accuracy when they performed under the low stimulus velocity compared to badminton and table tennis players. Badminton players performed better under the moderate speed comparing to tennis and table tennis players. Table tennis players had better performance than tennis and badminton players under the high stimulus velocity. Therefore, visual and motor systems of players from different racket sports may adapt to a stimulus velocity in coincidence-anticipation timing, which is specific to each type of racket sports.
The overall prevalence of overweight and obesity was 10.3% and 6.1% respectively. The overall prevalence of obesity in boys and girls was 7.0% and 5.4%, respectively, and the difference was significant (chi(2) = 8, p = 0.004). The prevalence of obesity in urban and rural areas was 7.7% and 3.9%, respectively, and the difference was significant (chi(2) = 40, p < 0.001). The prevalence of overweight boys and girls in urban areas was 11.6% and 13.2%, respectively, but the difference was not significant (chi(2) = 2, p > 0.05). However, the prevalence of overweight boys and girls in rural areas was 4.8% and 9.4%, respectively, and the difference was significant (chi(2) = 25, p < 0.001). Although the prevalence of obesity differed significantly between boys and girls in urban children (chi(2) = 13, p < 0.001), no significant difference was detected in the prevalence between boys and girls from rural areas (chi(2) = 0.4, p > 0.5). The prevalence of obesity was significantly higher in private schools than in public schools (chi(2) = 48, p < 0.0001). The prevalence of overweight and obese Turkish children aged 6-17 years is considerably lower than in most European countries. The children in urban settings and higher socioeconomic groups had a higher prevalence of overweight and obesity. The Westernisation of the behaviour patterns of children and living in an urban setting in a developing country are risk factors for obesity.
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