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1.
The purpose of this study was to determine the association of somatotype, body composition, and physical performance in 7- through 12-year-old boys. Two objective methods of measuring somatotype, Sheldon's trunk index method and Heath–Carter's anthropometric method, were used. Body composition was estimated as fat and lean body mass from 40K measurement, using a whole-body counter, and from two skinfold thickness measures. Physical performance measures consisted of three tests of running (mile run, 600-yd run and 50-yd dash) and two tests of jumping (standing broad jump and vertical jump). In general, somatotype components had lower correlations with running and jumping variables than did body composition or body size variables such as height, weight, and percent fat. Heath and Carter's third component, derived from the inverse ponderal index, correlated more closely with performance scores than did other components of somatotype. Somatotype components in combination with each other and with body size and body composition variables in a multiple regression analysis indicated little association with running performance, but some association with jumping. Mesomorphy and second component were the least significant somatotype components, as indicated by the standardized regression coefficients.  相似文献   

2.
Abstract

The aims of this study were to (1) investigate the influence of general anthropometric variables, handball-specific anthropometric variables, and upper-limb power and strength on ball-throwing velocity in a standing position (νball), and (2) predict this velocity using multiple regression methods. Forty-two skilled male handball players (age 21.0 ± 3.0 years; height = 1.81 ± 0.07 m; body mass = 78.3 ± 11.3 kg) participated in the study. We measured general anthropometric variables (height, body mass, lean mass, body mass index) and handball-specific anthropometric parameters (hand size, arm span). Upper-limb dynamic strength was assessed using a medicine ball (2 kg) throwing test, and power using a one-repetition maximum bench-press test. All the variables studied were correlated with ball velocity. Medicine ball throwing performance was the best predictor (r = 0.80). General anthropometric variables were better predictors (r = 0.55–0.70) than handball-specific anthropometric variables (r = 0.35–0.51). The best multiple regression model accounted for 74% of the total variance and included body mass, medicine ball throwing performance, and power output in the 20-kg bench press. The equation formulated could help trainers, athletes, and professionals detect future talent and test athletes' current fitness.  相似文献   

3.
The aims of this study were to (1) investigate the influence of general anthropometric variables, handball-specific anthropometric variables, and upper-limb power and strength on ball-throwing velocity in a standing position (ν(ball)), and (2) predict this velocity using multiple regression methods. Forty-two skilled male handball players (age 21.0?±?3.0 years; height?=?1.81?±?0.07?m; body mass?=?78.3?±?11.3?kg) participated in the study. We measured general anthropometric variables (height, body mass, lean mass, body mass index) and handball-specific anthropometric parameters (hand size, arm span). Upper-limb dynamic strength was assessed using a medicine ball (2?kg) throwing test, and power using a one-repetition maximum bench-press test. All the variables studied were correlated with ball velocity. Medicine ball throwing performance was the best predictor (r?=?0.80). General anthropometric variables were better predictors (r?=?0.55-0.70) than handball-specific anthropometric variables (r?=?0.35-0.51). The best multiple regression model accounted for 74% of the total variance and included body mass, medicine ball throwing performance, and power output in the 20-kg bench press. The equation formulated could help trainers, athletes, and professionals detect future talent and test athletes' current fitness.  相似文献   

4.
Abstract

The relationship between cardiorespiratory (CR) endurance performance and various physiological and anthropometric measures was determined in 33 college women. Bivariate and multiple regression analysis was used to determine the extent to which the independent variables, individually and collectively, accounted for the variance in the 2-km run. Independent variables included maximal [Vdot]O2, [Vdot]E, R, and HR; submaximal HR; response to a standard workload of steps during a l-min steptest; percent body fat predicted from skinfolds; body circumferences; height; and weight. [Vdot]O2 max in ml/kg of body weight accounted for the greatest amount of variance in run time (39%). The steptest added 5.9%, the other physiological measures collectively added 9.7%, while the anthropometric measures collectively added only 2.1% to the explained variance for a total of 56.7%. Although anthropometric factors play a role in CR endurance performance, their influence is small in this population when physiological factors are accounted for.  相似文献   

5.
In this study, we developed allometric exponents for scaling Wingate anaerobic test (WAnT) power data that are effective in controlling for body mass (BM) and lean body mass (LBM) and established a normative WAnT data set for college-age women. One hundred women completed a standard WAnT Allometric exponents and percentile ranks for peak (PP) and mean power (MP) were established. Allometric exponents were applied to WAnT scores for an independent sample (n=31) to assess external validity. PP and MP were 477.0 W (SD = 80.0) and 372.6 W (SD = 61.5), respectively. Allometrice exponents for PP and MP scaled for BM were b = 0.92 and b = 0.76, respectively, and for LBM they were b = 0.93 and b = 0.91, respectively. In the independent sample, these exponents produced correlations between allometrically scaled PP and MP and BM of r = -.02 and r = .02, respectively. Correlations between allometrically scaled PP and MP and LBM were r = .004 and r = -.02, respectively. The allometric exponents were effective in partialing out the effect of BM for PP and MP and demonstrated acceptable levels of external validity when applied to an independent sample. The allometric exponents and normative values provide a useful tool for comparing WAnT scores in college-age women without the confounding effects of BM or LBM.  相似文献   

6.
Abstract

This study examined the agreement between estimates of thigh volume (TV) with anthropometry and dual-energy x-ray absorptiometry (DXA) in healthy school children. Participants (n=168, 83 boys and 85 girls) were school children 10.0–13.9 years of age. In addition to body mass, height and sitting height, anthropometric dimensions included those needed to estimate TV using the equation of Jones & Pearson. Total TV was also estimated with DXA. Agreement between protocols was examined using linear least products regression (Deming regressions). Stepwise regression of log-transformed variables identified variables that best predicted TV estimated by DXA. The regression models were then internally validated using the predicted residual sum of squares method. Correlation between estimates of TV was 0.846 (95%CI: 0.796–0.884, Sy·x=0.152L). It was possible to obtain an anthropometry-based model to improve the prediction of TVs in youth. The total volume by DXA was best predicted by adding body mass and sum of skinfolds to volume estimated with the equation of Jones & Pearson (R=0.972; 95%CI: 0.962–0.979; R 2=0.945).  相似文献   

7.
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8.
The primary purpose of this study was to investigate the accuracy of the DF50 (ImpediMed Ltd, Eight Mile Plains, Queensland, Australia) bioelectrical impedance analysis device using dual-energy x-ray absorptiometry as the criterion in two groups: endurance athletes and power athletes. The secondary purpose was to develop accurate body fat percentage prediction equations for each group based on bioelectrical impedance analysis data and/or the combination of bioelectrical impedance analysis and anthropometric data.

Eighty male athletes (40 elite endurance athletes and 40 were power athletes), age 19–48 with body mass indexes ranging from 18.9 to 37.4 were recruited. Anthropometric measurements were taken. Body composition was assessed by dual-energy x-ray absorptiometry and bioelectrical impedance analysis. An athlete-specific bioelectrical impedance analysis prediction equation was developed by stepwise regression analysis using dual-energy x-ray absorptiometry as the criterion and bioelectrical impedance analysis data and anthropometric measurements as predictor variables.

The DF50 bioelectrical impedance analysis significantly overestimated body fat percentage by 6.4 ± 0.5 in the entire group (p < .001) and in both the endurance group (6.1 ± .6, p < .001) and the power group (6.7 ± 0.7, p < .001). The endurance and power group showed no significant difference in the error of estimation by bioelectrical impedance analysis (p = .554), indicating that bioelectrical impedance analysis has the same error in both groups. The final prediction equation incorporated both anthropometric variables as well as bioelectrical impedance analysis variables and produced an adjusted r2 of .982 and a standard error of the estimate (SEE) of 1.98 for the entire group. This prediction equation used bioelectrical impedance analysis measurements and anthropometric measurements, specifically trunk measurements, to account for trunk size, a common source of error in bioelectrical impedance analysis equations. Follow-up validation studies are necessary to further validate the equations produced.  相似文献   

9.
Testing is one of the important tasks in any multi-step sport programme. In most ball games, coaches assess motor, physical and technical skills on a regular basis in early stages of talent identification in order to further athletes’ development. The purpose of the study was to investigate anthropometric variables and vertical jump heights as a free throw effectiveness predictor in water-polo players of different age groups. Two hundred and thirty-six young (10–18 years) male water-polo players partitioned into three age groups underwent anthropometric variables’ measures and squat- and countermovement-jump tests, and performed water-polo free throws. Anthropometric variables, vertical jump heights and throw speed – as a proxy for free throw effectiveness – resulted different over age groups. Particularly, throw speed changed from 9.28 to 13.70 m · s?1 (+48%) from younger to older players. A multiple-regression model indicated that body height, squat-jump height and throw time together explain 52% of variance of throw speed. In conclusion, tall height, high lower limb power and throwing quickness appeared to be relevant determinants for effective free throws. Such indications can help coaches during talent identification and development processes, even by means of novel training strategies. Further research is needed over different maturity statuses.  相似文献   

10.
Abstract

The aim of this study was to examine the anthropometric characteristics and body composition of wrestlers from the Italian national team. The study was carried out on a sample of 23 wrestlers (9 females and 14 males) aged 18–33 years. Various anthropometric measurements were performed (weight, height, sitting height, some girths and skinfold thicknesses) and anthropometric indices calculated (body mass index, cormic index, upper arm muscle area, upper arm fat area, and arm fat index). Body composition was assessed and minimum wrestling weight was determined based on a minimum body fat percentage of 5% for males and 12% for females. We undertook comparisons by sex, wrestling style (for males), and weight category. The comparison between men's and women's wrestling corroborated known differences between the sexes; the comparison between wrestling styles stressed the relevance of the cormic index. The most interesting finding of this study was that no female wrestler competed in a lower weight class than her minimum wrestling weight, even if all of them were heavier than values allowed for their weight class. Five of 14 male wrestlers competed in a weight class lower than their minimum wrestling weight, and all of them, except two, were heavier than the uppermost limit of their weight class.  相似文献   

11.
目的利用身体形态、体力活动和超声骨指标来预测超重和肥胖者的下肢骨密度、脊柱骨密度和全身骨密度。方法选取超重和肥胖男性受试者138名(年龄50.9±9.6岁;BMI29.1±2.6 kg/m^2),随机测量其身体形态(身高、体重、BMI、胸围和腰围等)、体力活动(握力、纵跳和肺活量等)和超声骨指标(超声声速和传播指数)。骨密度使用双能X线吸收测定法进行测量。使用Stepwise逐步回归法构建下肢骨密度、脊柱骨密度和全身骨密度的预测模型。结果多元线性回归分析显示,所构建的模型都能够有效地预测受试者的骨密度。其中,下肢骨密度预测模型的拟合度最高。Bland-Altman定量测量结果一致性分析表明,下肢骨密度、脊柱骨密度和全身骨密度的实测值与预测值具有显著的相关性(r=0.35,r=0.60,r=0.31;P<0.001)。结论研究所构建的模型可以有效预测不同年龄、肥胖程度和体力活动水平男性的下肢骨密度、脊柱骨密度和全身骨密度,适用于大规模人群的骨质疏松症筛查与早期防治。  相似文献   

12.
This study investigated the role of maturity timing in selection procedures and in the specialisation of playing positions in youth male basketball. Forty-three talented Dutch players (14.66 ± 1.09 years) participated in this study. Maturity timing (age at peak height velocity), anthropometric, physiological, and technical characteristics were measured. Maturity timing and height of the basketball players were compared with a matched Dutch population. One-sample t-tests showed that basketball players were taller and experienced their peak height velocity at an earlier age compared to their peers, which indicates the relation between maturity timing and selection procedures. Multivariate analysis of variance (MANOVA) showed that guards experienced their peak height velocity at a later age compared to forwards and centres (P < .01). In addition, positional differences were found for height, sitting height, leg length, body mass, lean body mass, sprint, lower body explosive strength, and dribble (P < .05). Multivariate analysis of covariance (MANCOVA) (age and age at peak height velocity as covariate) showed only a significant difference regarding the technical characteristic dribbling (P < .05). Coaches and trainers should be aware of the inter-individual differences between boys related to their maturity timing. Since technical characteristics appeared to be least influenced by maturity timing, it is recommended to focus more on technical characteristics rather than anthropometric and physiological characteristics.  相似文献   

13.
目的探讨8周高强度间歇训练(High Intensity Interval Training,HIIT)对男子赛艇公开级运动员血红蛋白和身体成分的影响。方法某省16名男子赛艇公开级运动员作为研究对象,采取随机抽样的方式分成对照组和高强度间歇组(HIIT组),每组各8例。连续8周对照组采用一般日常训练,HIIT组增加高强度间歇训练。比较训练前后两组血红蛋白和身体成分指标变化情况。结果 HIIT组8名队员训练前后血红蛋白水平有显著提高(P<0.05),对照组不显著(P>0.05);体重和脂肪百分比含量下降,对照组显著(p<0.05),HIIT组极显著(p<0.01);而瘦体重和去脂体重,HIIT组有显著增加(p<0.05),对照组变化不明显(p>0.05)。结论 8周HIIT训练能明显提高赛艇男子公开级运动员血红蛋白水平,并显著降低体脂,增加瘦体重和去脂体重。  相似文献   

14.
Changes in the body composition of a sample of elite university-level female swimmers were monitored at three points during a competitive season, October, December and March. Body composition was estimated via densitometry and a series of anthropometric dimensions was taken at each occasion. Body weight, absolute and relative fatness, all six skinfolds and the calf circumference decreased, while density and lean body mass increased significantly during the period of intensive training between October and December. Changes during the second half of the season were smaller. Weight and relative fatness increased, while body density and the triceps skinfold decreased significantly between December and March. Hence, the major changes in body composition associated with swim training occurred during the early part of the season when training was intense. Most of the changes were maintained during the second half of the season. Correlations between body composition at the start of training and changes after approximately 10 and 24 weeks were negative and generally significant. Changes in anthropometric somatotype estimates with swim training were minor and occurred primarily in the first and third components.  相似文献   

15.
Abstract

The purpose of this preliminary investigation was to determine the relative role of the distal lower extremity tissue masses of varsity athletes in predicting distal lower extremity injury sustained during a competitive season. One hundred male and female varsity athletes (basketball, volleyball, soccer, cross country) completed a questionnaire on general health, physiological, and psychosocial variables, during each sport's respective training camp. A series of anthropometric measurements were used as inputs to distal lower extremity tissue mass prediction equations to calculate lean mass, fat mass, bone mineral content and wobbling mass (lean mass + fat mass) and tissue mass ratios. Athletes were monitored throughout their respective seasons and were instructed to report any distal lower extremity injuries to a certified athletic therapist who was responsible for assessing and confirming the reports. Logistic regression analyses were performed to determine which variables significantly predicted distal lower extremity injury. Mean leg fat mass:bone mass (OR = 1.6, CI = 1.0 – 2.5), and competition surface (rubber OR = 8.5, CI = 1.5 – 47.7; artificial turf OR = 4.0, CI = 0.77 – 22.9) were identified as significant predictors of injury. Overall, tibia bone injuries were significantly associated with the ratio of fat mass:bone mineral content and the surface on which the athletes compete.  相似文献   

16.
In the present study, we investigated the association of anthropometric parameters with race performance in ultraendurance runners in a multistage ultraendurance run, in which athletes had to run 338 km within 5 consecutive days. In 17 male successful finishers, calculations of body mass, body height, skinfold thicknesses, extremity circumference, skeletal muscle mass (SM), and percentage body fat (%BF) were performed before the race to correlate anthropometric parameters with race performance. A positive association was shown between total running time and both body mass (r2 = .29, p < .05) and upper arm circumference (r2 = .23, p < .05). In contrast, body height, skinfold thicknesses, extremity circumference, SM, and %BF showed no association with race performance (p > .05). We concluded that in a multistage ultraendurance run, body mass and upper arm circumference were negatively associated with race performance in well experienced ultraendurance runners. In contrast, body height, skinfold thicknesses, circumferences of the other extremities, SM, and %BF showed no association with race performance.  相似文献   

17.
The aims of this study were to describe the current anthropometric profiles of elite Australian female and male cricket fast bowlers and establish a set of reference values useful for future investigations on player selection, talent identification, and training programme development. The participants were 26 female (mean age 22.5 years, s = 4.5; height 1.71 m, s = 0.05; body mass 66.2 kg, s = 7.5) and 26 male (mean age 23.9 years, s = 3.5; height 1.88 m, s = 0.05; body mass 87.9 kg, s = 8.2) fast bowlers. The anthropometric profiles included the measurement of skinfolds, and segment lengths, breadths, and girths. A series of derived variables assessing the distribution of subcutaneous adipose tissue, the bivariate overlap zone, relative body size and proportionality, and somatotype were also calculated. The male bowlers had larger length, breadth, and girth measurements than their female counterparts. There were differences in proportionality between the sexes, with only the male bowlers exhibiting characteristics that could be considered "large" relative to height. The female bowlers had a higher sum of seven skinfolds (P < 0.001), were more endomorphic (F(1,50) = 30.18, P < 0.001), and less mesomorphic (F(1,50 = 10.85, P < 0.01) than the male bowlers. These reference data should be useful to practitioners and researchers interested in cricket. Further research is needed to clarify why only male fast bowlers had variables that were proportionally large relative to height.  相似文献   

18.
The Drinkwater-Ross anthropometric fractionation of body mass (mass = sigma skeletal, residual, fat and muscle masses), lean body mass (LBM = sigma skeletal, residual and muscle masses) and fat mass (FM) were compared with the measured body mass, together with the densitometrically estimated fat-free mass (FFM) and fat mass (FM), of 205 male (mean +/- S.D.: 74.66 +/- 10.55 kg; 10.1 +/- 3.7% BF by densitometry) and 177 female (mean +/- S.D.: 59.14 +/- 8.85 kg; 18.5 +/- 5.1% BF by densitometry) South Australian State representatives in a variety of sports. Most absolute differences (d) between the measured body masses and those resultant from the sum of the four fractionated masses (male: d = 2.15 kg or 2.9%; female: d = 1.27 kg or 2.2%) were within what one would expect from random day-to-day variation. However, this was not so for the comparisons between the fractionated LBM (male: d = 2.54 kg or 3.8%; female: d = 2.45 kg or 5.2%) and FM scores (male: d = 1.67 kg or 30.0%; female: d = 2.40 kg or 20.0%) and their densitometric counterparts. These differences are probably related to a combination of the densitometric and fractionation assumptions.  相似文献   

19.
Abstract

The data for 40 variables were obtained from 81 Purdue University faculty sons between 10 and 12 years of age inclusive. Among the 40 variables, 680 correlation coefficients were obtained. Factor analysis was used to identify the factors which could explain the items measuring body composition and motor aptitude. As a result, eight factors were isolated and given names. The factors underlying the 40 variables seemed to permit the following names: growth and maturity factor, “body fitness” factor, body balance on object factor, coordination of the lower extremities factor, general kinesthetic sense factor, general static balance factor, directionality factor, and laterality factor. Observing the factor loadings in Factor I, it may be concluded that the measurement of lean body weight by liquid scintillation counting technique is significant in the assessment of growth and maturity in preadolescent boys. Furthermore, in the assessment of “body fitness” pertaining to preadolescent boys, it is revealed that the percent lean body weight is the most important item as indicated by the value of factor loading presented in Factor II.  相似文献   

20.
Abstract

The purpose of this study was to establish percentile norms and to compare skinfold and other anthropometric measurements of 647 Italian, Jewish, and Negro preadolescent boys from the Boston, Massachusetts area. Skinfolds were measured at five sites. Other measurements included height, weight, bi-iliac diameter, and selected girths.

Correlations were determined between skinfolds and selected body build components. Interskinfold r's ranged from moderate to high values. The largest percentile scores were found within the Jewish group. Analysis of variance was employed to compare the body fat, height, and weight of each group. Significant differences were found relative to certain skinfolds and weight between ethnic groups at the 1 percent level.  相似文献   

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