Differences in Some Physical Fitness and Anthropometric Measures Between Greco-Roman and Freestyle Wrestlers

2013 ◽  
Vol 3 (1) ◽  
pp. 94-102 ◽  
Author(s):  
Bahman Mirzaei ◽  
David G. Curby ◽  
Ioannis Barbas ◽  
Navid Lotfi
Keyword(s):  
Physical Fitness ◽  
Anthropometric Measures ◽  
Greco Roman

scholarly journals Can Anthropometry and Body Composition Explain Physical Fitness Levels in School-Aged Children?

Children ◽  
2021 ◽  
Vol 8 (6) ◽  
pp. 460
Author(s):  
Chih-Yu Hsu ◽  
Liang-Sien Chen ◽  
I-Jen Chang ◽  
Wei-Ching Fang ◽  
Sun-Weng Huang ◽  
...  
Keyword(s):  
Body Composition ◽  
Physical Fitness ◽  
Cross Sectional Study ◽  
Continuous Variables ◽  
Z Score ◽  
Fat Percentage ◽  
Anthropometric Measures ◽  
Muscle Weight ◽  
Cross Sectional ◽  
School Aged Children

Physical fitness (PF) is closely related to various health outcomes and quality of life among children. However, the associations between anthropometry, body composition (BC), and PF are not fully elucidated. This cross-sectional study aimed to investigate the associations between demographic metrics (age, sex), anthropometric measures (body mass index z-score (BMI z-score) waist/height ratio (WHtR)), BC parameters (body-fat percentage (BF%), muscle weight), and PF levels (800-m run, sit-and-reach, 1-min sit-ups, standing long jump) in school-aged children. Continuous variables were dichotomized by median splits. The results of 180 girls and 180 boys (mean age: 10.0 ± 0.7 years; mean BMI z-score: 0.366 ± 1.216) were analyzed. Multivariable linear regressions revealed that BF% (regression coefficient (B) = 3.4, 95% confidence interval (CI) = 2.5–4.3) was independently correlated with the 800-m run. Sex (B = 4.6, 95% CI = 3.0–6.3), age (B = 3.1, 95% CI = 1.9–4.3), and BMI z-score (B = −0.7, 95% CI = −1.4–−0.1) were independently related to sit-and-reach. Age (B = 3.3, 95% CI = 2.0–4.7), BF% (B = −0.3, 95% CI = −0.4–−0.2), and muscle weight (B = 0.7, 95% CI = 0.2–1.2) were independently associated with 1-min sit-ups. In addition to demography, anthropometry and BC provided additional information concerning some PF levels in school-aged children. Weight management and PF promotion should be addressed simultaneously in terms of preventive medicine and health promotion for children.

A Simple Test for the Assessment of Aerobic Fitness

1988 ◽  
Vol 74 (2) ◽  
pp. 107-114
Author(s):  
D. J. Smith ◽  
R. J. Pethybridge ◽  
A Duggan
Keyword(s):  
Heart Rate ◽  
Body Weight ◽  
Physical Fitness ◽  
Lean Body Mass ◽  
Body Mass ◽  
Test Score ◽  
Linear Regression Analysis ◽  
Treadmill Running ◽  
Step Test ◽  
Anthropometric Measures

SummaryThe relationship between physical fitness, anthropometric measures, and the scores in three submaximal step tests have been evaluated in a group of 30 male subjects. Physical fitness was assessed as VO2max measured directly during uphill treadmill running. Each submaximal exercise test was of six minutes duration and the heart rate recorded during the last minute (fH6) constituted the test score. Significant negative correlation coefficients were found between VO2max and each test score while lean body mass, gross body weight and body surface area were allpositively correlated with VO2max (1/min). The score in the least severe step test was included with anthropometric measures in multiple linear regression analysis for the prediction of VO2max and a number of prediction equations were derived. It was found that when lean body mass is calculated from skinfold measurements and weight, VO2max can be calculated from the equation:VO2max(1/min) = 1.470 + 0.0614 × Lean Body mass −0.0131 × fH6This equation accounts for 73% of the total variation of VO2max. If lean body mass cannot be calculated, a combination of gross body weight and age plus fH6 gives the equation:VO2max = 3.614 + 0.0349 × Weight – 0.0177 × fH6−0.0161 × Ageaccounting for 66% of the variance. The test has the following advantages over those currently employed:It is simple to administer requiring 6 minutes of stepping onto a 32 cm platform—the height of a gymnasium bench—20 times per minute.Although ideally an assessment oflean body mass is required, gross body weight plus age is a good second best.It is submaximal, minimising the stress on the individual (mean heart rate achieved 121 beats per minute).Its accuracy in terms of its ability to predict maximal aerobic power is better than either the Ohio or Harvard University tests.It is suggested that this test could be used where maximal testing is contraindicated or where currently used tests are insufficiently accurate.

scholarly journals Physical Fitness Differences between Freestyle and Greco-Roman Junior Wrestlers

2014 ◽  
Vol 41 (1) ◽  
pp. 245-251 ◽  
Author(s):  
Erkan Demirkan ◽  
Mehmet Kutlu ◽  
Mitat Koz ◽  
Mehmet Özal ◽  
Mike Favre
Keyword(s):  
Physical Fitness ◽  
Body Mass ◽  
Function Analysis ◽  
Body Height ◽  
Anaerobic Power ◽  
Greco Roman ◽  
Hand Grip ◽  
Power Peak ◽  
Maximal Anaerobic Power ◽  
Physical Features

AbstractThe aim of the present study was to examine physical fitness differences between Freestyle and Greco-Roman junior wrestlers. One hundred twenty-six junior wrestlers, comprising 70 Freestyle and 56 Greco-Roman wrestlers, participated in this study. The somatic and physical fitness profile included body mass, body height, body mass index, body composition, flexibility, maximal anaerobic power of the legs and arms, aerobic endurance, hand grip strength, leg and back strength, and speed. No significant differences were found in the anthropometric and physical features between Freestyle and Greco-Roman wrestlers. The Greco-Roman wrestlers had a significantly higher level of relative leg power, peak arm power, relative peak arm power, and relative average arm power than Freestyle wrestlers (p < 0.05). Greco-Roman wrestlers were significantly faster, had better agility, and had a greater level of leg strength than Freestyle wrestlers, but Freestyle wrestlers were more flexible than Greco-Roman wrestlers (p < 0.05). Discriminant function analysis indicated that peak arm power, agility, speed, and flexibility were selective factors for the differences between Freestyle and Greco-Roman wrestlers. In conclusion, the present study indicates that the differences between these wrestling styles promote physical fitness differences in elite wrestlers. The results reflect specific features of each wrestling style.

scholarly journals Body Mass Index and Measures of Body Fat for Defining Obesity and Underweight: A Cross-Sectional of Various Specialties in Montenegrin Army Soldiers

2020 ◽  
Author(s):  
Stevo POPOVIC ◽  
Boris BANJEVIC ◽  
Bojan MASANOVIC ◽  
Dusko BJELICA
Keyword(s):  
Body Mass Index ◽  
Body Composition ◽  
Physical Fitness ◽  
Body Mass ◽  
Body Fat ◽  
Armed Forces ◽  
The Body ◽  
Fat Percentage ◽  
Anthropometric Measures ◽  
General Terms

Background: The body composition and physical fitness of members of the army is always a relevant topic for research, since the level of defense and security of people and material goods in a specific territory in many ways depends on the level of ability of the army. However, members of the armed forces are a heterogeneous group, typified by different abilities, characteristics, but also everyday needs, and the trend of changing body composition and reducing physical fitness is a current issue that has not bypassed this population either. Therefore, this study aimed to determine possible differences in body composition indicators that could appear between members of the Army of Montenegro of different military specialties. Methods: The sample of respondents included 240 Montenegrin male soldiers (32.5yr±9.5), who were measured at the sports dispensaries within the barracks of Montenegrin Army around the country in the spring of 2020, was classified into eight numerically equal subsamples according to their military specialty. The sample of variables included five anthropometric measures, which were necessary to calculate two derived body composition indicators: Body Mass Index (BMI) and Body Fat Percentage (FAT %). Using the one-way ANOVA and Post Hoc test with Taki’s model, the variables were analyzed. Results: It was determined that the body composition of Montenegrin soldiers shows a certain peculiarity compared to other national military corps, while there are differences in body composition indicators between members of the Montenegrin Army of different military specialties. Conclusion: This fact dramatically strengthens the issues of Montenegrin distinctive regarding body composition, both in general terms and in terms of distinctive within specific professional vocations.  

scholarly journals Relative Age Effect in the Sport Environment. Role of Physical Fitness and Cognitive Function in Youth Soccer Players

2019 ◽  
Vol 16 (16) ◽  
pp. 2837 ◽  
Author(s):  
Florentino Huertas ◽  
Rafael Ballester ◽  
Honorato José Gines ◽  
Abdel Karim Hamidi ◽  
Consuelo Moratal ◽  
...  
Keyword(s):  
Physical Fitness ◽  
Selection Process ◽  
Age Effect ◽  
Anthropometric Measures ◽  
Cross Sectional ◽  
Youth Soccer ◽  
Relative Age ◽  
Relative Age Effect ◽  
Attentional Functioning ◽  
Age Related

The need to achieve short-term competitive outcomes in sports may influence the emergence of talent selection strategies, which could bias individuals’ opportunities. The present study aimed to further explore the relative age effect (RAE), a phenomenon that strongly influences youth sport development. The RAE refers to a disproportionately high percentage in sport teams of athletes born early in the selection year. Our primary focus was to explore whether the RAE is supported by behavioral evidence in favor of better fitness—and especially cognitive-attentional functioning—of early as compared to late-born players. A cross-sectional study was conducted on 105 young athletes (u10, n = 52; 9.8 ± 0.3 years old, and u12, n = 53; 11.8 ± 0.2 years old) attending two youth elite soccer academies. Attentional functioning, anthropometrics, physical fitness, and game intelligence were compared across two Age Groups (u10 vs. u12) and four Birth Quarters (BQ1–BQ4). The RAE was statistically significant (p < 0.001), showing that about 50% of participants were born in the first quarter and 75% were born in the first half of the year. More importantly, U12 players outperformed u10 players in measures that were related to sustained attention (with faster and less variable responses; p < 0.001 and p < 0.05, respectively), and in all anthropometric measures (p < 0.001), physical-fitness capacities (p < 0.05). Crucially, neither the attentional measures, game intelligence, anthropometrics, nor physical fitness were affected by BQ (all ps > 0.1 and BF10 between 0.08 and 0.6, showing strong evidence for the null hypothesis). The present findings suggest that the early selection process that occurs during scouting in youth soccer academies offsets the age-related differences that could be anticipated in cognitive skills, anthropometrics, and physical abilities, due to growth and maturation. These birth asymmetries could lead teams to disregard later maturation athletes and athletes born later in the year inducing a larger dropout of those players with the consequent reduction in the talent pool.

Predicting Load Carriage Performance Using Physical Fitness and Anthropometric Measures in Soldiers

2017 ◽  
Vol 49 (5S) ◽  
pp. 335
Author(s):  
Peter N. Frykman ◽  
Stephen A. Foulis ◽  
Jan E. Redmond ◽  
Bradley J. Warr ◽  
Jay R. Hydren ◽  
...  
Keyword(s):  
Physical Fitness ◽  
Load Carriage ◽  
Anthropometric Measures

A Developmental Analysis of Gender Differences in Health Related Physical Fitness

1991 ◽  
Vol 3 (1) ◽  
pp. 28-42 ◽  
Author(s):  
Jerry R. Thomas ◽  
Jack K. Nelson ◽  
Gabie Church
Keyword(s):  
Physical Activity ◽  
Gender Differences ◽  
Physical Fitness ◽  
Children And Youth ◽  
Anthropometric Measures ◽  
School Time ◽  
Health Related ◽  
Major Factors ◽  
Developmental Analysis ◽  
Activity Information

Data for the analysis were the health related fitness scores, anthropometric measures, and physical activity information from the National Children and Youth Fitness Study. The subjects were 6,800 boys and 6,523 girls, ages 6 through 18. Multiple regression produced linear composites that were used as covariates to evaluate physical and environmental characteristics that relate to gender differences. The distance runs, chin-ups, and sit-ups displayed similar patterns in gender differences across age. Before puberty the important covariates are mainly physical, namely skinfolds. Following puberty the major factors that reduce gender differences are skinfolds and the amount of exercise done outside of school time.

Environmental perceptions and its associations with physical fitness and body composition in adolescents: longitudinal results from the LabMed Physical Activity Study

2018 ◽  
Vol 0 (0) ◽  
Author(s):  
André Oliveira ◽  
Luis Lopes ◽  
Sandra Abreu ◽  
Carla Moreira ◽  
Pedro Silva ◽  
...  
Keyword(s):  
Physical Activity ◽  
Body Composition ◽  
Physical Fitness ◽  
Environmental Perceptions ◽  
Linear Regression Models ◽  
Anthropometric Measures ◽  
Cross Sectional ◽  
Environmental Correlates ◽  
Health Related

Abstract Background The environmental correlates have been extensively studied in the last years, but most associations with physical fitness (PF) and body composition have been cross-sectional in nature. Objective This study aimed to determine if adolescents’ environmental perceptions associated with PF and body composition in a 2-year follow-up. Subjects Participants were 583 adolescents aged 12–18 years (299 girls) from the LabMed Physical Activity Study. Methods PF and body composition were assessed with the protocols of the ALPHA health-related fitness battery and environmental perceptions with the ALPHA environmental questionnaire. Linear regression models were used to determine the associations between environmental perceptions at baseline and PF and anthropometric measures at follow-up. Results Results showed that perceptions of distant facilities at baseline were associated with lower fitness at follow-up in boys. Also, boys’ lower study environment perceptions at baseline were associated with higher body composition at follow-up. Positive perceptions of a pleasant environment at baseline were associated with better fitness at follow-up in boys. Additionally, girls’ positive bike lanes availability and esthetics perceptions at baseline were associated with better body composition at follow-up. Conclusion Positive environmental perceptions at baseline are associated with better PF and body composition at follow-up.

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