Assessment of Body Mass and Fat Percentage in Children Training Judo Compared to Their Non-training Peers

Study aim: Judo training leads to an increase in the muscle mass of athletes. The consequence of this is a high level of body mass index (BMI). At the same time, the body’s fat percentage is reduced. This phenomenon has been well-described in older age groups. However, body build and composition parameters of the youngest judokas are still unclear. The aim of the study was to answer the following questions: Do the training and recruitment of athletes influence body build and composition in the studied groups? Are BMI and body fat percentage differentiated between children and younger children? Are body build and composition in studied group related to competitive experience and level of achievement in competitions? Basic procedures: The study group consisted of 21 judokas aged 11 to 12 years (younger children) and 71 non-training peers, as well as18 judokas aged 13 to 14 years (children) and 44 of their non-training peers. Body mass and composition were determined using the Tanita TBF-551 body composition analyser. Examination of the judokas was conducted during regional championships. Results and main findings: In the younger age group, significantly higher BMI and body fat percentage were observed in the group of non-training peers (20.5 and 22.2%; in judokas: 18.2 and 17.6%, respectively). In children, significant differences were observed only in body fat percentage. Its value was lower in judokas and amounted to 16.2% (in non-athlete peers: 20.1%). Comparison of body build and composition between judo athletes in the examined age groups revealed significant differences in the case of BMI. The value of this index in children was 20.5, which was significantly higher than in the younger children (17.6). No correlations of body build and composition with competitive experience and level of achievement in competitions were found in the studied groups. Conclusions: A 4-year training experience is a significant factor in the development of judo-specific body build and composition. However, their indices are not related to the level of achievement in the youngest age groups.

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Body Mass Index and Body Fat Percentage of Armed Forces Personnel in Montenegro among Different Age Groups

Iranian Journal of Public Health ◽

10.18502/ijph.v49i5.3224 ◽

2020 ◽

Author(s):

Boris BANJEVIC ◽

Stevo POPOVIC ◽

Bojan MASANOVIC

Keyword(s):

Body Mass Index ◽

Body Mass ◽

Body Fat ◽

Age Groups ◽

Armed Forces ◽

Body Fat Percentage ◽

Fat Percentage

The article's abstract is no available.

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The relationship of physical activitiy levels with the body mass index and the body fat percentage according to different age groups and genders among the Turkish children

International Journal of Academic Research ◽

10.7813/2075-4124.2013/5-6/a.3 ◽

2013 ◽

Vol 5 (6) ◽

pp. 17-22

Author(s):

Ozlem Orhan

Keyword(s):

Body Mass Index ◽

Body Mass ◽

Body Fat ◽

Age Groups ◽

The Body ◽

Body Fat Percentage ◽

Fat Percentage ◽

Turkish Children ◽

Relationship Of ◽

The Relationship

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Body mass index and body fat percentage of police force in Montenegro in different age groups

Nutrición Hospitalaria ◽

10.20960/nh.03619 ◽

2021 ◽

Author(s):

Bojan Masanovic ◽

Veselin Veljovic ◽

Zeljko Spalevic ◽

Marija Bubanja

Keyword(s):

Body Mass Index ◽

Body Mass ◽

Body Fat ◽

Age Groups ◽

Police Force ◽

Body Fat Percentage ◽

Fat Percentage

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Comparison of the Effect of Soy protein and Whey protein on Body Composition: A Meta-Analysis of Randomized Clinical Trials

British Journal Of Nutrition ◽

10.1017/s0007114521001550 ◽

2021 ◽

pp. 1-27

Author(s):

Masoome Piri Damaghi ◽

Atieh Mirzababaei ◽

Sajjad Moradi ◽

Elnaz Daneshzad ◽

Atefeh Tavakoli ◽

...

Keyword(s):

Body Composition ◽

Whey Protein ◽

Lean Body Mass ◽

Body Mass ◽

Body Fat ◽

Fat Mass ◽

Soy Protein ◽

Protein Supplementation ◽

Body Fat Percentage ◽

Fat Percentage

Abstract Background: Essential amino acids (EAAs) promote the process of regulating muscle synthesis. Thus, whey protein that contains higher amounts of EAA can have a considerable effect on modifying muscle synthesis. However, there is insufficient evidence regarding the effect of soy and whey protein supplementation on body composition. Thus, we sought to perform a meta-analysis of published Randomized Clinical Trials that examined the effect of whey protein supplementation and soy protein supplementation on body composition (lean body mass, fat mass, body mass and body fat percentage) in adults. Methods: We searched PubMed, Scopus, and Google Scholar, up to August 2020, for all relevant published articles assessing soy protein supplementation and whey protein supplementation on body composition parameters. We included all Randomized Clinical Trials that investigated the effect of whey protein supplementation and soy protein supplementation on body composition in adults. Pooled means and standard deviations (SD) were calculated using random-effects models. Subgroup analysis was applied to discern possible sources of heterogeneity. Results: After excluding non-relevant articles, 10 studies, with 596 participants, remained in this study. We found a significant increase in lean body mass after whey protein supplementation weighted mean difference (WMD: 0.91; 95% CI: 0.15, 1.67. P= 0.019). Subgroup analysis, for whey protein, indicated that there was a significant increase in lean body mass in individuals concomitant to exercise (WMD: 1.24; 95% CI: 0.47, 2.00; P= 0.001). There was a significant increase in lean body mass in individuals who received 12 or less weeks of whey protein (WMD: 1.91; 95% CI: 1.18, 2.63; P<0.0001). We observed no significant change between whey protein supplementation and body mass, fat mass, and body fat percentage. We found no significant change between soy protein supplementation and lean body mass, body mass, fat mass, and body fat percentage. Subgroup analysis for soy protein indicated there was a significant increase in lean body mass in individuals who supplemented for 12 or less weeks with soy protein (WMD: 1.48; 95% CI: 1.07, 1.89; P< 0.0001). Conclusion: Whey protein supplementation significantly improved body composition via increases in lean body mass, without influencing fat mass, body mass, and body fat percentage.

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Trends in obesity and adiposity measures by race or ethnicity among adults in the United States 2011-18: population based study

BMJ ◽

10.1136/bmj.n365 ◽

2021 ◽

pp. n365

Author(s):

Buyun Liu ◽

Yang Du ◽

Yuxiao Wu ◽

Linda G Snetselaar ◽

Robert B Wallace ◽

...

Keyword(s):

Body Mass Index ◽

Waist Circumference ◽

Ethnic Groups ◽

Body Mass ◽

Body Fat ◽

Lean Mass ◽

The United States ◽

Population Based ◽

Body Fat Percentage ◽

Fat Percentage

AbstractObjectiveTo examine the trends in obesity and adiposity measures, including body mass index, waist circumference, body fat percentage, and lean mass, by race or ethnicity among adults in the United States from 2011 to 2018.DesignPopulation based study.SettingNational Health and Nutrition Examination Survey (NHANES), 2011-18.ParticipantsA nationally representative sample of US adults aged 20 years or older.Main outcome measuresWeight, height, and waist circumference among adults aged 20 years or older were measured by trained technicians using standardized protocols. Obesity was defined as body mass index of 30 or higher for non-Asians and 27.5 or higher for Asians. Abdominal obesity was defined as a waist circumference of 102 cm or larger for men and 88 cm or larger for women. Body fat percentage and lean mass were measured among adults aged 20-59 years by using dual energy x ray absorptiometry.ResultsThis study included 21 399 adults from NHANES 2011-18. Body mass index was measured for 21 093 adults, waist circumference for 20 080 adults, and body fat percentage for 10 864 adults. For the overall population, age adjusted prevalence of general obesity increased from 35.4% (95% confidence interval 32.5% to 38.3%) in 2011-12 to 43.4% (39.8% to 47.0%) in 2017-18 (P for trend<0.001), and age adjusted prevalence of abdominal obesity increased from 54.5% (51.2% to 57.8%) in 2011-12 to 59.1% (55.6% to 62.7%) in 2017-18 (P for trend=0.02). Age adjusted mean body mass index increased from 28.7 (28.2 to 29.1) in 2011-12 to 29.8 (29.2 to 30.4) in 2017-18 (P for trend=0.001), and age adjusted mean waist circumference increased from 98.4 cm (97.4 to 99.5 cm) in 2011-12 to 100.5 cm (98.9 to 102.1 cm) in 2017-18 (P for trend=0.01). Significant increases were observed in body mass index and waist circumference among the Hispanic, non-Hispanic white, and non-Hispanic Asian groups (all P for trend<0.05), but not for the non-Hispanic black group. For body fat percentage, a significant increase was observed among non-Hispanic Asians (30.6%, 29.8% to 31.4% in 2011-12; 32.7%, 32.0% to 33.4% in 2017-18; P for trend=0.001), but not among other racial or ethnic groups. The age adjusted mean lean mass decreased in the non-Hispanic black group and increased in the non-Hispanic Asian group, but no statistically significant changes were found in other racial or ethnic groups.ConclusionsAmong US adults, an increasing trend was found in obesity and adiposity measures from 2011 to 2018, although disparities exist among racial or ethnic groups.

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Comparison of CrossFit Barbara and classic resistance trainings for the protection of strength performance during off-season in kickboxers

Isokinetics and Exercise Science ◽

10.3233/ies-203190 ◽

2020 ◽

pp. 1-8

Author(s):

Cebrail Gençoğlu ◽

İlhan Şen

Keyword(s):

Resistance Training ◽

Body Mass ◽

Body Fat ◽

Bench Press ◽

Body Fat Percentage ◽

Fat Percentage ◽

Strength Performance ◽

Significant Difference ◽

Before And After ◽

Push Up

BACKGROUND: The inability of athletes to train or the decrease in the intensity and frequency of training may cause athletes to lose performance. Particularly in view of the current COVID-19 pandemic, maintaining strength outside the normal framework provides an advantage to athletes for the next competitions. OBJECTIVE: To compare the CrossFit Barbara which can be applied easily at home during the off-season or some situations such as the epidemic limitation to classic resistance training methods used to maintain the strength performance of national kickboxers. METHODS: Forty-three national kickboxers, CrossFit (CF, n= 22), and resistance training (RT, n= 21), participated in this study. While CF performed 20 pull-ups, 30 push-ups, 40 sit-ups, and 50 squat exercises, RT performed bench press, lat pull down, leg press, biceps curl, and triceps extension exercises twice per week for six weeks. Before and after the six weeks, the following variables were measured; body mass (BM) and body fat percentage (FP), VO2max, bench press (BP), squat (SQ), leg strength (LS), hand grip strength (HGS), pull-up, push-up and counter movement jump (CMJ). RESULTS: BP (p< 0.001, F= 41.125, ηp2= 0.501), SQ (p< 0.001, F= 26.604, ηp2= 0.394), LS (p< 0.001, F= 15.234, ηp2= 0.271), push-up (p< 0.001, F= 31.978, ηp2= 0.438) and pull-up (p< 0.001, F= 24.410, ηp2= 0.373) values changed significantly in group-time interaction between CF and RT groups, while there was no significant difference for the BM (p= 0.198, F= 1.715, ηp2= 0.040), Fat (p= 0.265, F= 1.279, ηp2= 0.030), HGS (p= 0.665, F= 0.190, ηp2= 0.005, CMJ (p= 0.054, F= 3.946, ηp2= 0.088) and VO2max (p=0.747, F= 0.106, ηp2= 0.003). Furthermore, according to the before and after study values, BP, SQ, LS, and CMJ decreased significantly (p< 0.05) while BM, FP, HGS, VO2max, pull-up and push-up variables did not in the CF (p> 0.05). In the RT, the pull-up and push-up variables decreased significantly (p< 0.05) while there was no significant difference for BP, SQ, LS, HGS, VO2max, body mass, body fat percentage and CMJ (p> 0.05). CONCLUSION: CF Barbara workout was more effective in maintaining strength endurance performances, and RT in maintaining maximum strength performances. According to the individual performance needs of athletes, reasonable training method can be used to prevent performance decrement in the strength domain.

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Body Mass and Body Composition Changes over 7 Years in a Male Professional Rugby Union Team

International Journal of Sports Medicine ◽

10.1055/a-1403-2906 ◽

2021 ◽

Author(s):

Clíodhna McHugh ◽

Karen Hind ◽

Aoife O'Halloran ◽

Daniel Davey ◽

Gareth Farrell ◽

...

Keyword(s):

Body Composition ◽

Body Mass ◽

Body Fat ◽

Lean Mass ◽

Total Mass ◽

Rugby Union ◽

Body Fat Percentage ◽

Fat Percentage ◽

Dxa Scans ◽

Composition Changes

AbstractThe purpose of this study was to investigate longitudinal body mass and body composition changes in one professional rugby union team (n=123), (i) according to position [forwards (n=58) versus backs (n=65)], analysis of players with 6 consecutive seasons of DXA scans (n=21) and, (iii) to examine differences by playing status [academy and international], over 7 years. Players [mean age: 26.8 y, body mass index: 28.9+kg.m2] received DXA scans at fourtime points within each year. A modest (but non-significant) increase in mean total mass (0.8 kg) for professional players was reflected by increased lean mass and reduced body fat mass. At all-time points, forwards had a significantly greater total mass, lean mass and body fat percentage compared to backs (p<0.05). Academy players demonstrated increased total and lean mass and decreased body fat percentage over the first 3 years of senior rugby, although this was not significant. Senior and academy international players had greater lean mass and lower body fat percentage (p<0.05) than non-international counterparts. Despite modest increases in total mass; reflected by increased lean mass and reduced fat mass, no significant changes in body mass or body composition, irrespective of playing position were apparent over 7 years.

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