The Relationship between Body Composition and Preseason Performance Tests of Division III Male Lacrosse Players

2011 ◽  
Vol 43 (Suppl 1) ◽  
pp. 873
Author(s):  
Sean M. Collins ◽  
Steven Koudelka ◽  
Max Silberlicht ◽  
Chris Perzinski ◽  
Kevin Donahue ◽  
...  
Keyword(s):  
Body Composition ◽  
Performance Tests ◽  
Division Iii ◽  
The Relationship

scholarly journals The Relationship between Body Composition and Physical Fitness Parameters in Children

2018 ◽  
Vol 11 (9) ◽  
pp. 71 ◽  
Author(s):  
Nebahat Eler
Keyword(s):  
Body Composition ◽  
Physical Fitness ◽  
Pearson Correlation ◽  
The Body ◽  
Performance Tests ◽  
Leg Length ◽  
Fat Percentage ◽  
Fitness Parameters ◽  
And Performance ◽  
The Relationship

The aim of this study is to analyze the relationship between body composition and physical fitness parameters in children. 286 male and 311 female students have voluntarily participated in the study. Data on body composition have been obtained through the measurements of the students’ height, body weight, BMI, body fat percentage, length (sitting height, arm length, forearm length, leg length, thigh lengths), circumference (elbow, shoulder, biceps (flexion) , buttock, knee, waist, calf, ankle). For somatotype characteristics, the Heat-Carter somatotype grading method has been used. The Sit-Reach Flexibility Test (cm) has been used to determine the characteristic of flexibility; the 20 m. Speed Test (seconds) to determine speed; the 20 m. Sit-up test to determine endurance; Takkei hand dynamometer to determine right-left hand grip strength; Takkei back and lift dynamometer for leg strength and the Flamingo Balance Test for balance have been used. In the analysis of data, the SPSS 16 software has been used and T test and Pearson correlation test have been carried out (p<0.05). Between the body composition and physical fitness parameters of female and male students, a statistically significant relationship has been found with the exception of age, arm and waist measurements (p<0.05). In both genders, positive or negative relationships have been found between height, circumference measurements and somatotype characteristics and performance tests (p<0.05). It was found that there is a negative or positive relationship between the heights, circumference measurements and somatotype characteristics and their strength, endurance, speed, flexibility and balance characteristics of female and male children aged 10-12. As a result, it has been seen that the body composition of children aged 10-12 affects the physical fitness parameters. Children in this age group which is both a period of growth and development and skills selection period for numerous sports branches should regularly be followed by their physical education teachers, anthropometric measurements and performance tests should be carried out and the children should be directed towards suitable sports branches.

The Relationship Between Body Composition and Preseason Performance Tests of Collegiate Male Lacrosse Players

2014 ◽  
Vol 28 (9) ◽  
pp. 2673-2679 ◽  
Author(s):  
Sean M. Collins ◽  
Max Silberlicht ◽  
Chris Perzinski ◽  
Stephen P. Smith ◽  
Patrick W. Davidson
Keyword(s):  
Body Composition ◽  
Performance Tests ◽  
The Relationship

scholarly journals The relationship between physical fitness attributes and sports injury in female, team ball sport players: a systematic review

2020 ◽  
Vol 6 (1) ◽  
Author(s):  
Jessica B. Farley ◽  
Lily M. Barrett ◽  
Justin W. L. Keogh ◽  
Carl T. Woods ◽  
Nikki Milne
Keyword(s):  
Systematic Review ◽  
Body Composition ◽  
Physical Fitness ◽  
Sports Injury ◽  
Quality Data ◽  
Body Region ◽  
Ankle Sprains ◽  
Level Of Evidence ◽  
Data Synthesis ◽  
The Relationship

Abstract Background Understanding the relationships between physical fitness characteristics and sports injury may assist with the development of injury minimisation programs. The purpose of this systematic review was to investigate the association between physical fitness attributes and sports injury in female, team ball sport players. Methods Four scientific databases (MEDLINE, EMBASE, SPORTDiscus, Scopus) and reference lists of relevant research were searched for eligible studies up to September 2, 2019. Full-text articles examining the relationship between physical fitness and sports injury in female, team ball sport players were included. A modified Downs and Black checklist was used to assess methodological quality. Data synthesis determined summary conclusions based on the number of significant relationships divided by the total relationships investigated and reported as a percentage. Level of certainty was identified for summary conclusions based on level of evidence. Sub-analyses regarding competition level, age, and single injury types were also conducted. Results A total of 44 studies were included. Data synthesis revealed no associations (low to moderate certainty) between body composition (1/9; 11%), flexibility (18–20%), and balance (2/8; 25%) and ‘any injury’ classification. No associations (mostly of moderate certainty) were found between flexibility (0–27%), muscular strength (0–27%), and body composition (14–33%) and various body region injury classifications, whereas mixed summary conclusions were shown for balance (0-48%). Many associations between physical fitness and sports injury were deemed ‘unknown’ or with an insufficient level of certainty. Sub-analyses revealed no association between strength and noncontact ACL injuries (0/5; 0%) or ankle sprains (0/12; 0%), and between flexibility and ankle sprains (1/5; 20%); however, insufficient certainty of these results exists. Clear associations were concluded between balance and lower body injuries in female, non-elite (10/16; 63%) and junior (9/12; 75%) team ball sport players, with moderate and insufficient certainty of these results, respectively. Conclusion Limited evidence is available to demonstrate relationships between physical fitness and sports injury in female, team ball sport players. High-quality evidence investigating the multifactorial nature of sports injury, including the interactions physical fitness qualities have with other injury determinants, is needed to better understand the role of physical fitness in minimising sports injuries in female, team ball sport players. Trial Registration CRD42017077374 (PROSPERO on September 14, 2017).

scholarly journals The product of trunk muscle area and density on the CT image is a good indicator of energy expenditure in patients with or at risk for COPD

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Toru Shirahata ◽  
Hideaki Sato ◽  
Sanehiro Yogi ◽  
Kaiji Inoue ◽  
Mamoru Niitsu ◽  
...  
Keyword(s):  
At Risk ◽  
Body Composition ◽  
Energy Expenditure ◽  
Trunk Muscle ◽  
Rectus Abdominis ◽  
Activity Level ◽  
Erector Spinae ◽  
Trunk Muscles ◽  
Muscle Area ◽  
The Relationship

Abstract Background Physical inactivity due to cachexia and muscle wasting is well recognized as a sign of poor prognosis in chronic obstructive pulmonary disease (COPD). However, there have been no reports on the relationship between trunk muscle measurements and energy expenditure parameters, such as the total energy expenditure (TEE) and physical activity level (PAL), in COPD. In this study, we investigated the associations of computed tomography (CT)-derived muscle area and density measurements with clinical parameters, including TEE and PAL, in patients with or at risk for COPD, and examined whether these muscle measurements serve as an indicator of TEE and PAL. Methods The study population consisted of 36 male patients with (n = 28, stage 1–4) and at risk for (n = 8) COPD aged over 50 years. TEE was measured by the doubly labeled water method, and PAL was calculated as the TEE/basal metabolic rate estimated by the indirect method. The cross-sectional areas and densities of the pectoralis muscles, rectus abdominis muscles, and erector spinae muscles were measured. We evaluated the relationship between these muscle measurements and clinical outcomes, including body composition, lung function, muscle strength, TEE, and PAL. Results All the muscle areas were significantly associated with TEE, severity of emphysema, and body composition indices such as body mass index, fat-free mass, and trunk muscle mass. All trunk muscle densities were correlated with PAL. The product of the rectus abdominis muscle area and density showed the highest association with TEE (r = 0.732) and PAL (r = 0.578). Several trunk muscle measurements showed significant correlations with maximal inspiratory and expiratory pressures, indicating their roles in respiration. Conclusions CT-derived measurements for trunk muscles are helpful in evaluating physical status and function in patients with or at risk for COPD. Particularly, trunk muscle evaluation may be a useful marker reflecting TEE and PAL.

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