scholarly journals Can Body Fat Percentage, Body Mass Index, and Specific Field Tests Explain Throwing Ball Velocity in Team Handball Players?

2021 ◽  
Vol 11 (8) ◽  
pp. 3492
Author(s):  
Souhail Hermassi ◽  
Lawrence D. Hayes ◽  
René Schwesig
Keyword(s):  
Body Mass ◽  
Body Fat ◽  
Linear Regression Analysis ◽  
Body Height ◽  
Field Tests ◽  
Predictive Ability ◽  
Normal Weight ◽  
Fat Percentage ◽  
Percentage Body Fat ◽  
Team Handball

This study examined the physical fitness, anthropometry, and throwing velocity of normal weight and overweight male team handball players. Twenty-five players from the Qatar handball first professional league participated. The anthropometry and physical performance—yo-yo intermittent recovery test, jumping ability (squat and countermovement jumps (SJ and CMJ)), T-half test for change-of-direction (COD) ability, sprint tests (15 and 30 m), and 3 kg medicine ball overhead throw—was measured. The handball-throwing velocity was measured using a three-step running shot and a jump shot. Only the CMJ (p = 0.016, ηp2 = 0.227) was different between the normal and overweight subjects. Two-step linear regression analysis using body height and body mass (step 1) and percentage body fat (%BF) (step 2) predictors showed an increase in the explained variance by adding %BF. The largest r2 change was calculated for COD (0.53). The predictive ability was observed for CMJ (step 1: r2 = 0.18, step 2: r2 = 0.22) and SJ (step 1: r2 = 0.05, step 2: r2 = 0.09). With the exception of the sprint parameters (β-coefficient 15 m sprint: −0.07; β-coefficient 30 m sprint: −0.06) and COD (β-coefficient: −0.09), a lower %BF was associated with greater performance in all parameters. %BF seems to be important for predicting sprint and agility performance.

Serum leptin levels and energy expenditure in normal weight women

1998 ◽  
Vol 76 (2) ◽  
pp. 237-241 ◽  
Author(s):  
L J Martin ◽  
PJH Jones ◽  
R V Considine ◽  
W Su ◽  
N F Boyd ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Food Intake ◽  
Energy Expenditure ◽  
Body Mass ◽  
Body Fat ◽  
Positive Association ◽  
Normal Weight ◽  
Serum Leptin ◽  
Percentage Body Fat ◽  
Healthy Humans

To investigate whether circulating leptin levels are associated with energy expenditure in healthy humans, doubly labeled water energy measurements and food intake assessment were carried out in 27 women (mean age, 48.6 years; weight, 61.9 kg; body mass index, 23.2). Energy expenditure was determined over 13 days. Food intake was measured by 7-day food records. Leptin was measured by radioimmunoassay. Leptin level was strongly associated with percentage body fat (r = 0.59; p < 0.001), fat mass (r = 0.60; p < 0.001), and body mass index (r = 0.41; p = 0.03), but no correlation was observed with energy expenditure (r = 0.02; p = 0.93). After controlling for percentage body fat, a positive association of leptin level with energy expenditure of marginal significance (p = 0.06) was observed. There were no significant univariate associations of age, physical activity, lean body mass, height, or dietary variables with leptin level. When controlling for body fat, a significant positive correlation was observed for percent energy from carbohydrate and negative correlations with dietary fat and alcohol intake. These findings confirm previous associations between leptin and body fat content and suggest a relationship between serum leptin and energy expenditure level in healthy humans.Key words: leptin, energy expenditure, body composition, diet.

scholarly journals The Relationship Between Body Mass Index with Body Fat Percentage of Participants EXPO 2021 Universitas Teuku Umar

2021 ◽  
Vol 2 (1) ◽  
pp. 19
Author(s):  
Suci Eka Putri ◽  
Adelina Irmayani Lubis
Keyword(s):  
Body Mass Index ◽  
Body Weight ◽  
Nutritional Status ◽  
Body Mass ◽  
Body Fat ◽  
Body Height ◽  
The Body ◽  
Body Fat Percentage ◽  
Fat Percentage ◽  
The Relationship

Body mass index (BMI) is to monitor nutritional status adults, especially those related to deficiency and overweight. Body fat percentage can describe the risk of degenerative diseases.This study was conducted to measure the relationship between BMI and body fat percentage. Methods An analytical study was conducted to 41 male and 51 female participant from Universitas Teuku Umar. The body weight was measured using scales, whereas the body height was measured using microtoise. The body fat percentage was measured using Karada Scan. The BMI was calculated by dividing the body weight in kilogram divided by body height in meter square. Data was collected from 16-18th February 2021 and analyzed by Pearson’s correlation test. The results showed BMI underweight, normal, and overweight were 10,9, 57,6, and 31,5. High body fat percentage in men were 75,6% and in women were 35,5%. There is a relationship between the nutritional status of the women group and the body fat percentage with p-value is obtained = 0.021. Furthermore, for men, there is no relationship between nutritional status in the men group and the body fat percentage. There is a relationship between nutritional status and body fat percentage in women. Among this population, BMI can still be used to determine body fat percentage

scholarly journals Child Body Fat and Body Mass Index: Which Determinants are Most Important?

2019 ◽  
Vol 42 (8) ◽  
pp. 593-602 ◽  
Author(s):  
Marilyn Frenn ◽  
Astrida Kaugars ◽  
Juanita Garcia ◽  
Mauricio Garnier-Villarreal
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Body Fat ◽  
Normal Weight ◽  
Body Fat Percentage ◽  
Extreme Obesity ◽  
Fat Percentage ◽  
Multiple Imputations ◽  
Path Analyses ◽  
American Children

The purpose of this study was to examine child and parent determinants of children’s body fat percentage (BF%) along with their body mass index percentile (BMIp). Children’s BF% and BMIp auger lifelong health risks when elevated, and one in five children are affected. Participants ( N = 135) included 62% female children; 50.7% Caucasian, 31.7% Hispanic, and 8.5% African American. Children were aged 9–15 years (2% underweight, 47.9% normal weight, 19.7% overweight, and 24.6% obese). Parent BMI average was 30.67 (1.4% underweight, 20.4% normal weight, 23.9% overweight, 40% obese, and 7% extreme obesity); 77.5% of the participating parents were mothers. Following multiple imputations, path analyses were conducted of child and parent determinants of children’s BF% and BMIp. Children’s BF% and BMIp were related to parents’ concern about overweight and children’s perception of that concern. For children of overweight or obese parents, who are at highest risk for obesity, assessing the parents’ concern is the highest priority.

Intra-Season Changes in Open-Class Amateur Boxers’ Physiological Profiles: A Yearlong Study

2017 ◽  
Vol 2 (8) ◽  
pp. 117-121
Author(s):  
Philip Davis
Keyword(s):  
Body Mass ◽  
Body Fat ◽  
Fat Free Mass ◽  
Upper Body ◽  
Fat Percentage ◽  
Percentage Body Fat ◽  
Training Strategy ◽  
Diet Control ◽  
Run Up ◽  
Open Class

Introduction. Little is known of the physiological trainability of boxers and their reactions to current training strategy. Material and methods. Anthropometric, back/hand strength, upper-body plyometric power and 3x3 min running parameters were measured four times throughout the year and maximal oxygen uptake () at peak season. In twelve male open-class boxers (mean ± standard deviation) age: 22.7±2.7 yrs, height: 177.2±9.4 cm and body mass: 72.1±10.7 kg. Results. Surprisingly body mass, body fat, percentage body fat and total run distance showed no improvement throughout the season until peak season (all p<.002), 72.1 kg, 8.4 kg, 11.5 %, and 2548 m respectively. However this appeared to be at the expense of fat free mass which decreased by ~2 kg at peak season (p=.014). Furthermore, improvement beyond the starting le­vels at the start of the season for all parameters was never achieved. The results suggest that despite coach and boxer best efforts, training per-se does not necessarily result in the desired improvements. Conclusion. It is advised that boxers maintain a level of diet-control/training during holiday periods, this will allow the run-up to peak season to be about a controlled decrease of BF and maintenance or increase of fat free mass, strength and power. A simple set of tests should be used to track progress and identify areas that need improving. Strength, plyometric and individualisation of training should be implemented to improve the boxers’ speed and power-endurance.

scholarly journals Comparison of anthropometric-based equations for estimation of body fat percentage in a normal-weight and overweight female cohort: validation via air-displacement plethysmography

2014 ◽  
Vol 18 (3) ◽  
pp. 446-452 ◽  
Author(s):  
Derry Temple ◽  
Romain Denis ◽  
Marianne C Walsh ◽  
Patrick Dicker ◽  
Annette T Byrne
Keyword(s):  
Body Fat ◽  
Human Performance ◽  
Normal Weight ◽  
Accurate Estimation ◽  
Criterion Measure ◽  
Fat Percentage ◽  
Jackson Pollock ◽  
Percentage Body Fat ◽  
Air Displacement Plethysmography ◽  
Group 2

AbstractObjectiveTo evaluate the accuracy of the most commonly used anthropometric-based equations in the estimation of percentage body fat (%BF) in both normal-weight and overweight women using air-displacement plethysmography (ADP) as the criterion measure.DesignA comparative study in which the equations of Durnin and Womersley (1974; DW) and Jackson, Pollock and Ward (1980) at three, four and seven sites (JPW3, JPW4 and JPW7) were validated against ADP in three groups. Group 1 included all participants, group 2 included participants with a BMI<25·0 kg/m2 and group 3 included participants with a BMI≥25·0 kg/m2.SettingHuman Performance Laboratory, Institute for Sport and Health, University College Dublin, Republic of Ireland.SubjectsForty-three female participants aged between 18 and 55 years.ResultsIn all three groups, the %BF values estimated from the DW equation were closer to the criterion measure (i.e. ADP) than those estimated from the other equations. Of the three JPW equations, JPW3 provided the most accurate estimation of %BF when compared with ADP in all three groups.ConclusionIn comparison to ADP, these findings suggest that the DW equation is the most accurate anthropometric method for the estimation of %BF in both normal-weight and overweight females.

scholarly journals Validity of the Portable Ultrasound BodyMetrix™ BX-2000 for Measuring Body Fat Percentage

2020 ◽  
Vol 12 (21) ◽  
pp. 8786
Author(s):  
Seoungki Kang ◽  
Jeong-Hui Park ◽  
Myong-Won Seo ◽  
Hyun Chul Jung ◽  
Yong Ik Kim ◽  
...  
Keyword(s):  
Body Mass ◽  
Body Fat ◽  
Pearson Correlation ◽  
Body Height ◽  
Young Male ◽  
Body Fat Percentage ◽  
Equivalence Testing ◽  
Fat Percentage ◽  
Gold Standard Method ◽  
Portable Ultrasound

BodyMetrix™ BX-2000 (IntelaMetrix, Livermore, CA, USA) has been introduced as one of the alternatives and portable methods to estimate body fat percentage. However, inconsistent results between protocols built-in the BodymetrixTM may be compelling the question of its validity. Thus, this study first investigated the possible errors between protocols and evaluated the validity of body fat percentage (BF%) compared to the gold standard method (dual-energy X-ray absorptiometry, DEXA). One hundred and five collegiate males, aged 20.01 ± 2.11 years, body height, 174.81 ± 6.01 cm, body mass, 73.26 ± 13.60 kg, and body mass index, 23.91 ± 3.77 kg·m−2 participated in the present study. Participants’ body fat percentage was estimated by built-in nine different protocols in the BodyMetrix™ BX-2000 using A-MODE ultrasound. Pearson correlation (r), Mean absolute percentage errors (MAPEs), Bland & Altman plots, and Equivalence testing were used to examine the validity of each protocol by comparing it to the criterion measure (i.e., DEXA). The results indicated good potential for almost all of the protocols in correlation (Min: r = 0.79, Max: r = 0.92)., MAPEs (Min: 20.0%, Max: 33.8%), and Bland-Altman (Min diff: 16.7, Max diff: 41.4). Particularly, the estimated BF% from protocol 7 (4-sites by Durnin & Wormersley) and protocol 9 (9-sites Parllo) were completed within the equivalence zone (±10% of the mean). The estimates measured by protocol 7 and protocol 9 identified as the most valid methods for estimating BF% using a BodyMetrix™ BX-2000, compared to the DEXA. Our findings provide valuable information when applying in young male individuals, but future studies with other populations such as female or adolescents may be required to suggest a valid protocol within the instrument.

scholarly journals Physical Fitness and Academic Performance in Normal Weight, Overweight, and Obese Schoolchild Handball Players in Qatar: A Pilot Study

2021 ◽  
Vol 11 ◽  
Author(s):  
Souhail Hermassi ◽  
Lawrence D. Hayes ◽  
Nicola Luigi Bragazzi ◽  
René Schwesig
Keyword(s):  
Academic Performance ◽  
Physical Fitness ◽  
Physical Performance ◽  
Body Mass ◽  
Body Fat ◽  
Normal Weight ◽  
Performance Parameters ◽  
Fat Percentage ◽  
Overweight Group ◽  
Medicine Ball

This study aimed to investigate the relationships between physical fitness and academic performance in youth handball players of different BMI classifications. Thirty-three male handball players (age: 10.3 ± 0.61 years; body mass: 47.1 ± 12.1 kg; height: 1.43 ± 0.09 m; BMI: 23.1 ± 4.37 kg/m2; body fat: 20.6 ± 6.27%) were recruited from the Qatar handball first league and were assigned to their BMI age-adjusted groups (i.e., normal weight, overweight, and obese). Measurements included anthropometric data (height, mass, body mass index (BMI) and body fat percentage (%BF), and physical performance tests: agility T-half test; squat jump (SJ), and countermovement jump (CMJ), 10 and 15 m sprint; medicine ball throw (MBT). Aerobic capacity was evaluated using the Yo-Yo Intermittent Recovery Test level 1 (Yo-Yo IR1). Academic achievement was assessed through school records of grades point average (GPA) of Mathematics, Science and Arabic. None academic performance parameter and four physical performance parameters (agility T-half: p = 0.035; CMJ: p = 0.001; SJ: p = 0.007; sprint 10 m: p = 0.028) were different between BMI related groups. In 43% (3/7) of performance parameters and all academic parameters, the normal weight group showed the highest performance level, whereas the overweight group had the best performance in both sprint tests. The obese group was only superior in the medicine ball throw, but not at the p &lt; 0.05 level. A relevant relationship (r &gt; 0.5) between academic and physical performance parameters was only found between Yo-Yo IR 1 and science (r = 0.548). A relevant correlation were found between CMJ and BMI (r = −0.569). The agility T-half test was correlated with CMJ (r = −0.614) and 10 m sprint (r = 0.523). These findings suggest being overweight or obese are related to science academic performance among schoolchildren athletes in Qatar. Possibly, a normal BMI could positively influence academic performance. Physical education teachers, staff, and administrators should be cognizant that health promotion interventions improving composition may have the additional potential to improve dimensions of academic performance.

scholarly journals Secular Changes in Body Build and Body Composition in Czech Preschool Children in the Context of Latent Obesity

Children ◽  
2020 ◽  
Vol 8 (1) ◽  
pp. 18
Author(s):  
Petr Sedlak ◽  
Jana Pařízková ◽  
Daniela Samešová ◽  
Martin Musálek ◽  
Hana Dvořáková ◽  
...  
Keyword(s):  
Body Composition ◽  
Body Mass ◽  
Body Fat ◽  
Reference Sample ◽  
Body Height ◽  
Overweight And Obesity ◽  
Fat Percentage ◽  
Secular Changes ◽  
Body Build ◽  
Skeletal Mass

Changes in lifestyle can be significantly reflected in growth and development. Adaptations to reduced levels of physical activity, together with non-corresponding nutritional intakes, can result in body build and body composition changes at an early age. The present cross-sectional study aimed to evaluate the secular trend of modifications of body composition and body mass index (BMI) in Czech preschoolers over the last two to three decades. Boys and girls (386 boys and 372 girls) aged 4 to 6 years in 2014–2019 were measured. Outcome data were compared with the reference sample of preschoolers from 1990: 911 boys and 896 girls. Body height, BMI, and percentage of body fat, muscle, and bone mass were evaluated. Height and BMI have not changed. Body fat increased in both genders (p < 0.01), and contrarily, a significant reduction of muscle and skeletal mass was revealed (p < 0.001). Significant changes in body composition and unchanged BMI indicate the development of latent obesity during the last few decades. Due to latent obesity in a recent cohort, the differences in the prevalence of overweight and obesity markers according to BMI and fat percentage were tested. The prevalence of overweight and obesity was higher by 7.2% in boys, and by 6.5% in girls, as compared to children evaluated according to only their BMI results. Secular changes in preschoolers’ physical builds over the last 25 years are not reflected in body height and BMI, but in body composition. Insufficient development of active, lean body mass proportionally compensated by increased fat mass was also indicated.

Sign in / Sign up

Export Citation Format

Share Document