Seasonal Changes of Body Mass and Anthropometric Measures Male Wheelchair Basketball Players

2010 ◽  
Vol 42 ◽  
pp. 622
Author(s):  
Sileno Santos ◽  
Regina Célia Da Silva ◽  
Júlia M. Greve ◽  
Emmanuel G. Ciolac
Keyword(s):  
Body Mass ◽  
Seasonal Changes ◽  
Wheelchair Basketball ◽  
Basketball Players ◽  
Anthropometric Measures

Exploring the Influence of Wheelchair-User Interface and Personal Characteristics on Ischial Tuberosity Peak Pressure Index and Gradient in Elite Wheelchair Basketball Players

2020 ◽  
Vol 37 (1) ◽  
pp. 56-71
Author(s):  
Joseph Peters ◽  
Ian Rice ◽  
Tyson Bull
Keyword(s):  
Body Mass Index ◽  
Pressure Gradient ◽  
Body Mass ◽  
Peak Pressure ◽  
Personal Characteristics ◽  
Ischial Tuberosity ◽  
Pressure Gradients ◽  
Wheelchair Basketball ◽  
Basketball Players ◽  
Pressure Index

This pilot study investigated the relationship between personal and wheelchair factors on skin pressures at the ischial tuberosity in wheelchair basketball players. Seventeen wheelchair basketball players (7 male and 10 female) were evaluated during static and dynamic propulsive conditions while peak pressure index and peak pressure gradient were recorded with an interface pressure mat. The results showed that greater seat dump angles and backrest heights were negatively associated with the peak pressure index. Therapeutic cushion use was moderately associated with a reduced peak pressure gradient. Higher-class players used chair configurations associated with augmented pressure; however, classification status alone was not associated with pressure magnitude. Body mass index was negatively correlated with the static peak pressure gradient at levels approaching significance (p < .10). In conclusion, greater seat dump angles and backrest heights may provide pressure relief, whereas greater body mass index and therapeutic cushion use may reduce pressure gradients.

scholarly journals Contributions of body fat, fat free mass and arm muscle area in athletic performance of wheelchair basketball players

Motricidade ◽  
2017 ◽  
Vol 13 (2) ◽  
pp. 36 ◽  
Author(s):  
Lúcia Oliveira ◽  
Saulo Oliveira ◽  
Fernando Guimarães ◽  
Manoel Costa
Keyword(s):  
Body Fat ◽  
Athletic Performance ◽  
Anaerobic Power ◽  
Fat Free Mass ◽  
Muscular Tissue ◽  
Wheelchair Basketball ◽  
Basketball Players ◽  
Muscle Area ◽  
Anthropometric Measures ◽  
Medicine Ball

The aims of this study were: to verify the relationship (1) and dependency (2) between body fat (BF), fat free mass (FFM) and the arm muscle area (AMA) with athletic performance of wheelchair basketball players. Twenty-two subjects were evaluated according to the following order, in 24-hour intervals: a) anthropometric measurements and the Wingate anaerobic test (day 1); b) assessment of VO2peak and threshold (2); and c) specific tests (3). The results showed satisfactory relationships of AMA with handgrip left (r=.36; p=.08), VO2peak (r=.59; p=.03), medicine ball throwing (r=.54; p=.00), absolute (r=.61; p=.00) and relative anaerobic power (r=.67; p=.00). BF with handgrip left (r= .43; p=.03), medicine ball throwing (r=.50; p=.01), absolute (r=.77; p=.00) and relative (r=.82; p=.00) anaerobic power. And FFM with handgrip (r=.44; p=.03), medicine ball throwing (r=.43; p=.03), absolute (r=.64; p=.00) and relative (r=.69; p= .00) anaerobic power. The regression analyses revealed that only predictive models by AMA presented good determination coefficients to VO2peak (r2=.35; p=.00), medicine ball throwing (r2=.29; p=.00), absolute (r2=.37; p=.00) and relative (r2=.46; p=.00) anaerobic Power. The results indicated the importance to consider some anthropometric measures, in particular muscular tissue, to sport training and athletic performance evaluation of wheelchair basketball players.

scholarly journals Respiratory muscle strength and aerobic performance of wheelchair basketball players

2016 ◽  
Vol 22 (3) ◽  
pp. 124-132 ◽  
Author(s):  
Raphael N. Pereira ◽  
Marcos Fabio R. Abreu ◽  
Camila B. Gonçalves ◽  
Wilson Flávio S. Corrêa ◽  
Daniel R. Mizuhira ◽  
...  
Keyword(s):  
Muscle Strength ◽  
Respiratory Muscle ◽  
Aerobic Performance ◽  
Respiratory Muscle Strength ◽  
Wheelchair Basketball ◽  
Basketball Players

scholarly journals Validity of Recreational Marathon Runners’ Self-Reported Anthropometric Data

2020 ◽  
Vol 127 (6) ◽  
pp. 1068-1078
Author(s):  
Pantelis T. Nikolaidis ◽  
Beat Knechtle
Keyword(s):  
Body Mass ◽  
Assessment Method ◽  
Fat Percentage ◽  
Anthropometric Data ◽  
Anthropometric Measures ◽  
Marathon Runners ◽  
Present Sample ◽  
Large Samples ◽  
Anthropometric Characteristics ◽  
Recreational Runners

While studies on large samples of recreational runners have often relied on participants’ self-reported height and body mass, the validity of these data have not been investigated for this population. Hence, this study sought to examine the validity of self-reported anthropometric measures among recreational marathon runners. Female ( n = 32) and male ( n = 135) recreational marathon runners were requested to estimate their body mass and height (and we calculated their self-reported body mass index [BMI]), after which we took actual measures of their body mass and height and calculated their actual BMI. Participants’ self-reported values underestimated their actual body mass by 0.65 kg ( p < .001, η2 = 0.222) and their actual BMI by 0.35 kg ⋅ m−2 ( p < .001, η2 = 0.245). There was a significant Assessment Method × Sex Interaction for both body mass ( p = .019, η2 = 0.033) and BMI ( p = .017, η2 = 0.034), as women underestimated body mass values more than men. Participants overestimated their height by 0.44 cm ( p < .001, η2 = 0.075), but the interaction of sex and assessment method for height was not statistically significant. Underestimates of body mass correlated with marathon racing speed ( r = .24, p = .006) and body fat percentage ( r = −.29, p = .001) in men, but not in women ( p > .05). The disagreement between self-reported and measured anthropometric data in the present sample was lower than has been previously reported for the general population, suggesting that marathon runners may more accurately self-perceive and/or report their anthropometric characteristics. These findings are of practical value for health professionals and researchers (e.g., nutritionists and exercise physiologists) questionnaires to recreational marathon runners.

scholarly journals Correlation between sleep and psychological mood states in female wheelchair basketball players on a Japanese national team

2017 ◽  
Vol 29 (9) ◽  
pp. 1497-1501 ◽  
Author(s):  
Kenji Tsunoda ◽  
Hirotaka Mutsuzaki ◽  
Kazushi Hotta ◽  
Yukiyo Shimizu ◽  
Naruki Kitano ◽  
...  
Keyword(s):  
Mood States ◽  
Wheelchair Basketball ◽  
Basketball Players ◽  
National Team ◽  
Psychological Mood

Neutrophil function in Wheelchair Basketball players With Paraplegia

2010 ◽  
Vol 42 ◽  
pp. 368
Author(s):  
Adriana C. Levada-Pires ◽  
Vinicius C. Santos ◽  
Camila G. Marques ◽  
Sâmia R. Alves ◽  
Rui Curi ◽  
...  
Keyword(s):  
Neutrophil Function ◽  
Wheelchair Basketball ◽  
Basketball Players

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 Correlation of shift work and waist circumference, body mass index, chronotype and depressive symptoms

2010 ◽  
Vol 54 (7) ◽  
pp. 652-656 ◽  
Author(s):  
Luciana da Conceição Antunes ◽  
Manoela Neves da Jornada ◽  
Letícia Ramalho ◽  
Maria Paz Loayza Hidalgo
Keyword(s):  
Body Mass Index ◽  
Depressive Symptoms ◽  
Waist Circumference ◽  
Body Mass ◽  
Shift Work ◽  
Self Report ◽  
Metabolic Disturbances ◽  
Anthropometric Measures ◽  
Shift Workers ◽  
Health Area

OBJECTIVE: Correlate shift work with body mass index (BMI), waist circumference, chronotype and depressive symptoms. SUBJECTS AND METHODS: This study comprising 14 shift workers and 13 day workers. Subjects were workers from the health area aged 25 to 60 years. Minor psychiatric disorders were accessed by Self Report Questionnaire (SRQ-20) and depressive symptoms by Beck Depression Inventory (BDI). Chronotype was accessed using Morningness-Eveningness Questionnaire (MEQ). Anthropometric measures were taken. RESULTS: Shift workers presented higher BMI (P = 0.03) and waist circumference (P = 0.004) than day workers. Years on shift work were significantly correlated to waist circumference (r = 0.43; P = 0.03) and age (r = 0.47; P = 0.02). Shift work was not correlated with depressive symptoms and chronotype. CONCLUSION: These results may suggest a role played by shift work on the development and/or the early clinic manifestations of metabolic disturbances, becoming a risk factor to metabolic syndrome.

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