Association between body mass index, body fat per cent and muscle power output in soccer players

Nikolaidis, Pantelis Theodoros

doi:10.2478/s11536-012-0057-1

Cited by 22 publications

(16 citation statements)

References 20 publications

(28 reference statements)

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“…A study that investigated the correlation of body composition and power output by a cycle ergometer showed that the power output in the high body fat group was lesser than that in the low body fat group. 24 Regarding handball players, it reported that body fat has a negative effect on power output. 25 In our study, although no significantly correlation was observed with performance test and body fat, physical performance was positively correlated with the physical characteristics of body mass, upper limb length, chest girth, waist girth, hip girth, calf girth, arm lean body mass, leg lean body mass, trunk lean body mass, total lean body mass, and arm BMC in both canoe and kayak paddlers.…”

Section: Discussionmentioning

confidence: 99%

Relationship between performance test and body composition/physical strength characteristic in sprint canoe and kayak paddlers

Hamano¹,

Ochi²,

Tsuchiya³

et al. 2015

OAJSM

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ObjectiveCanoe sprint is divided into canoe and kayak. The difference between the two competitions is in physical performance. The aim of the present study was to compare and investigate the relationship between physical characteristics and fitness between the two canoe sprint competitors.MethodsSubjects were 11 canoe paddlers (C) and 12 kayak paddlers (K). They underwent anthropometric characteristics, body composition and fitness tests, and 120 s all-out tests using a canoe and kayak ergometer. The unpaired t-test was used to test for significant differences between disciplines, while Pearson’s correlation coefficient was used to examine the association between each measurement item and the performance test.ResultsThe age, height, body mass, body mass index, and total body fat were, C: 20.6±0.9 yr, 172.8±5.2 cm, 70.8±7.8 kg, 23.7±1.9, 14.4%±3.5%; and K: 19.7±1.2 yr, 172.8±5.3 cm, 69.5±7.8 kg, 23.2±2.1, 12.1%±3.6%, respectively. No significant differences were seen in any of the items for physical characteristics or fitness between C and K. A correlation analysis of performance tests and each measurement item revealed a positive correlation with low-speed isokinetic knee extension and flexion strength for C only (extension: r=0.761; flexion: r=0.784; P<0.01). In addition, performance tests were positively correlated with the circumference of arm (upper arm: r=0.876; forearm: r=0.820; P<0.01) and lower limb (thigh: r=0.781; calf: r=0.753; P<0.01) in C and with height (r=0.549, P<0.05), arm span (r=0.639, P<0.05), and leg length (r=0.621, P<0.01) in K.ConclusionWe suggest that the factors correlating with the performance test differ depending on the competitions.

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Section: Discussionmentioning

confidence: 99%

Relationship between performance test and body composition/physical strength characteristic in sprint canoe and kayak paddlers

Hamano¹,

Ochi²,

Tsuchiya³

et al. 2015

OAJSM

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“…Previous other studies have also reported significant and strong inverse relationship. 17,20,21 We did not observe any significant correlation between physical activity and BMI. Goel et al, Preto et al also didn't found any association between physical activity and BMI in their study.…”

Section: Discussionmentioning

confidence: 53%

Physical activity and its relation with body composition among undergraduate medical students in Delhi: a cross sectional study

Yadav¹,

Bodat²,

Siwach³

et al. 2020

Int J Community Med Public Health

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Background: Physical inactivity and overweight are leading risk factors for global mortality, responsible for 6% and 5% of deaths worldwide due to chronic non communicable diseases. It is well established that regular moderate or vigorous-intensity exercise lowers the risks and symptoms associated with the co-morbidities of obesity. The stress involved in meeting responsibilities of becoming a physician may adversely affect the exercise habits of students. So, the current study aimed to study physical activity and its relation with body composition among under-graduate medical students.Methods: It was a cross-sectional study among 282 medical students. International Physical Activity Questionnaire (IPAQ) Short form was used to measure total physical activity (PA) and body composition parameters including Waist circumference, WHR, BMI, Body Fat% were assessed and analyzed using SPSS version 21.Results: Out of 282 medical students 33%, 45.3%, &21.3% were involved in low, moderate and high physical activity. ANOVAs between different levels of physical activities according to IPAQ categories showed significant difference for Waist Hip Ratio (F:3.8; p=0.02) and Body Fat percentage (F=5.7; p=0.00). There was an inverse and statistically significant correlation between physical activity and Waist circumference, Body Fat% and Waist –Hip Ratio.Conclusions: Medical Students involved in higher level of physical activity have significantly lower body Fat% level and WHR as compared to those belonging to lower and moderate activity group thus there is a need to actively promote physical activity among medical students.

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“…In addition to the body weight difference among positions, there is a difference in body composition between sexes; additionally, fat-free mass has higher correlation with power, since force is more correlated to fat-free mass than to total body mass 28 .…”

Section: Discussionmentioning

confidence: 99%

Arremesso de medicine ball prediz potência de membro superior em jogadores de rugby sevens

Leite

Sasaki

Lourenço

et al. 2016

Rev. Bras. Cineantropom. Desempenho Hum.

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-The aim of this study was to develop an upper limb muscle power (PUL) prediction model using the Medicine Ball Throw Test (MBT) in rugby players. Eighteen amateur rugby players underwent the MBT test and the guided bench press exercise at 30, 40, 50 and 60% of 1. Myotest® accelerometer was positioned on the bench press bar to estimate muscle power. Linear regression was used to derive the upper limb muscle power prediction equation from the MBT distance. The residue analysis estimated the residual error of the predicted values using values obtained by Myotest®. Bland-Altman plots were used to verify agreement between actual and predicted upper limb muscle power, both in absolute Watts (W) and relative terms (W/kg of fat-free mass). There were significant correlations between actual and predicted upper limb muscle power (r = 0.834, 0.854, and 0.872) for intensities of 30%, 40% and 50%, respectively. Absolute bias of predicted values was -1.87 W (p <0.05). For muscle power predicted relative to fat-free mass, bias was 0.782 W/kg (p <0.05). Conclusion: The MBT test has high correlation with actual PUL values and it was found that the equation developed in this study has high accuracy to predict PUL in rugby players of both sexes.Key words: Athletic performance; Muscle strength; Sports. Resumo -Objetivou-se verificar a concordância e predição da potência muscular de membros superiores (PMS) a partir da distância do teste de Arremesso de Medicine Ball (AMB) em jogadores de rugby. Participaram do estudo 18 jogadores amadores de rugby (11 homens) os quais realizaram o teste AMB e o exercício de supino reto na barra guiada com acelerômetro

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Association between body mass index, body fat per cent and muscle power output in soccer players

Cited by 22 publications

References 20 publications

Relationship between performance test and body composition/physical strength characteristic in sprint canoe and kayak paddlers

Relationship between performance test and body composition/physical strength characteristic in sprint canoe and kayak paddlers

Physical activity and its relation with body composition among undergraduate medical students in Delhi: a cross sectional study

Arremesso de medicine ball prediz potência de membro superior em jogadores de rugby sevens

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