scholarly journals Scaling peak V˙o 2 to body mass in young male and female distance runners

2001 ◽  
Vol 90 (6) ◽  
pp. 2172-2180 ◽  
Author(s):  
Joey C. Eisenmann ◽  
James M. Pivarnik ◽  
Robert M. Malina
Keyword(s):  
Body Size ◽  
Body Mass ◽  
Allometric Scaling ◽  
Young Male ◽  
Peak Oxygen Consumption ◽  
Adolescent Male ◽  
Distance Runners ◽  
Scaling Factors ◽  
Cross Sectional ◽  
Male And Female

This study examined age- and sex-associated variation in peak oxygen consumption (V˙o 2) of young male and female distance runners from an allometric scaling perspective. Subjects were from two separate studies of 9- to 19-yr-old distance runners from the mid-Michigan area, one conducted between 1982 and 1986 (Young Runners Study I, YRS I) and the other in 1999–2000 (Young Runners Study II, YRS II). Data from 27 boys and 27 girls from YRS I and 48 boys and 22 girls from the YRS II were included, and a total of 139 and 108 measurements of body size and peak V˙o 2 in boys and girls, respectively, were available. Subjects were divided into whole year age groups. A 2 × 9 (sex × age group) ANOVA was used to examine differences in peakV˙o 2. Intraindividual ontogenetic allometric scaling was determined in 20 boys and 17 girls measured annually for 3–5 yr. Allometric scaling factors were calculated using linear regression of log-transformed data. Results indicated that 1) absolute peak V˙o 2increases with age in boys and girls, 2) relative peakV˙o 2(ml · kg−1 · min−1) remains relatively stable in boys and in girls, 3) relative peakV˙o 2(ml · kg−0.75 · min−1) increases throughout the age range in boys and increases in girls until age 15 yr, and 4) peakV˙o 2 adjusted for body mass (ml/min) increases with age in boys and girls. The overall mean cross-sectional scaling factor was 1.01 ± 0.03 (SE) in boys and 0.85 ± 0.05 (SE) in girls. Significant age × sex interactions and significant scaling factors between sexes identify the progressive divergence of peak V˙o 2 between adolescent male and female distance runners. Mean ontogenetic allometric scaling factors were 0.81 [0.71–0.92, 95% confidence interval (CI)] and 0.61 (0.50–0.72, 95% CI) in boys and girls, respectively ( P = 0.002). There was considerable variation in individual scaling factors (0.51–1.31 and 0.28–0.90 in boys and girls, respectively). The results suggest that the interpretation of growth-related changes in peak V˙o 2 of young distance runners is dependent upon the manner of expressing peakV˙o 2 relative to body size and/or the statistical technique employed.

Body Size and the Growth of Maximal Aerobic Power in Children: A Longitudinal Analysis

1997 ◽  
Vol 9 (3) ◽  
pp. 262-274 ◽  
Author(s):  
Thomas Rowland ◽  
Paul Vanderburgh ◽  
Lee Cunningham
Keyword(s):  
Gender Differences ◽  
Body Size ◽  
Body Mass ◽  
Allometric Scaling ◽  
Aerobic Power ◽  
Maximal Aerobic Power ◽  
Scaling Exponent ◽  
Cross Sectional ◽  
Treadmill Testing ◽  
The Mean

Adjustment of VO2max for changes in body size is important in evaluating aerobic fitness in children. It is important, therefore, to understand the normal relationship between changes VO2max and body size during growth. Over the course of 5 years, 20 children (11 boys, 9 girls) underwent annual maximal treadmill testing to determine VO2max. The mean longitudinal allometric scaling exponent for VO2max relative to body mass (M) was 1.10 ± 0.30 in the boys and 0.78 ± 0.28 in the girls (p < .05). Respective cross-sectional values were 0.53 ± 0.08 and 0.65 ± 0.03. VO2max expressed relative to M1.0, M0.75, and M0.67 rose during the 5 years in the boys, but not the girls. Significant gender differences remained when VO2max was related to lean body mass. These findings suggest (a) factors other than body size affect the development of VO2max in children, and (b) gender differences exist in VO2max during childhood which are independent of body composition.

Allometric Scaling Factors for Oxygen Uptake during Exercise in Children

1995 ◽  
Vol 7 (1) ◽  
pp. 12-25 ◽  
Author(s):  
Danette M. Rogers ◽  
Kenneth R. Turley ◽  
Kathleen I. Kujawa ◽  
Kevin M. Harper ◽  
Jack H. Wilmore
Keyword(s):  
Oxygen Consumption ◽  
Body Size ◽  
Surface Area ◽  
Body Surface Area ◽  
Body Mass ◽  
Body Surface ◽  
Allometric Scaling ◽  
Scaling Factors ◽  
Treadmill Testing ◽  
The Relationship

This study was designed to examine the relationship between oxygen consumption and both body surface area and body mass in children to determine what allometric scaling factors from these variables provide appropriate means of expressing data for this population. These scaling factors were then compared to exponents based on theoretical and animal models to determine if the same relationships were present. Forty-two children (21 boys and 21 girls) 7 to 9 years of age participated in maximal and submaximal treadmill testing. The submaximal V̇O2 to body size relationship proved to be a more appropriate factor to use when scaling V̇O2 than the relationship seen between body size and V̇O2max. Therefore, in this population of children, V̇O2 relative to body surface area or body mass to the power 0.67, demonstrated submaximally, provided a more appropriate means of data expression both statistically and physiologically than the traditional expression of V̇O2 relative to body mass (ml·kg−1·min−1).

Physiologic Comparison of Adolescent Female and Male Cross-Country Runners

1990 ◽  
Vol 2 (4) ◽  
pp. 313-321 ◽  
Author(s):  
Lee N. Cunningham
Keyword(s):  
Ventilatory Threshold ◽  
Maximal Oxygen Consumption ◽  
Laboratory Data ◽  
Female Adolescent ◽  
Running Economy ◽  
Adolescent Male ◽  
Distance Runners ◽  
Male And Female ◽  
Cross Country ◽  
Cross Country Runners

To compare the physiologic differences between adolescent male and female cross-country runners, 12 male and 12 female high school nonelite distance runners who had competed successfully at the All State 5-km championship cross-country meet were tested in the laboratory. Data were analyzed in relation to maximal oxygen consumption (VO2max), ventilatory threshold (VT), and running economy (RE). Male runners were taller, heavier, had less body fat, and ran faster by 2 minutes and 18 seconds than female runners. Running economy was similar between gender. VO2 at a 215 m•min−1 pace was 46.7 ml•kg−1•min−1 for male runners and 47.8 ml•kg−1•min−1 for female runners. At the VT, males demonstrated a higher VO2 and treadmill velocity than females. Heart rate, percent HR max, and percent VO2 max at the VT were not different between gender. Males demonstrated a higher VO2 max of 74.6 versus 66.1 ml•kg−1•min−1 than female runners. The fractional utilization of VO2 at race pace was not different between males (90%) and females (91%). In conclusion, the primary physiologic determinant for performance differences between nonelite, competitive male and female adolescent distance runners is associated with VO2 max.

Statistical Techniques for Interpreting Body Size–Related Exercise Performance during Growth

2000 ◽  
Vol 12 (2) ◽  
pp. 112-127 ◽  
Author(s):  
Joanne R. Welsman ◽  
Neil Armstrong
Keyword(s):  
Body Size ◽  
Linear Regression ◽  
Body Mass ◽  
Exercise Performance ◽  
Multilevel Regression ◽  
Cross Sectional ◽  
Regression Techniques ◽  
Ontogenetic Allometry ◽  
Log Linear ◽  
Individual Size

This paper reviews some of the statistical methods available for controlling for body size differences in the interpretation of developmental changes in exercise performance. For cross-sectional data analysis simple per body mass ratio scaling continues to be widely used, but is frequently ineffective as the computed ratio remains correlated with body mass. Linear regression techniques may distinguish group differences more appropriately but, as illustrated, only allometric (log-linear regression) scaling appropriately removes body size differences while accommodating the heteroscedasticity common in exercise performance data. The analysis and interpretation of longitudinal data within an allometric framework is complex. More established methods such as ontogenetic allometry allow insights into individual size-function relationships but are unable to describe adequately population effects or changes in the magnitude of the response. The recently developed multilevel regression modeling technique represents a flexible and sensitive solution to such problems allowing both individual and group responses to be modeled concurrently.

Interrelationships among Jumping Power, Sprinting Power and Pubertal Status after Controlling for Size in Young Male Soccer Players

2017 ◽  
Vol 124 (2) ◽  
pp. 329-350 ◽  
Author(s):  
Giovani S. Cunha ◽  
Sean P. Cumming ◽  
João Valente-dos-Santos ◽  
João P. Duarte ◽  
Gustavo Silva ◽  
...  
Keyword(s):  
Body Size ◽  
Effect Size ◽  
Power Output ◽  
Allometric Scaling ◽  
Young Male ◽  
Soccer Players ◽  
Large Effect Size ◽  
Maximal Power Output ◽  
Pubertal Status ◽  
Small Effect Size

This study examined power output on jumping and sprinting tests in young soccer players of differing pubertal status, while controlling for body size with allometric scaling exponents. A total of 46 males aged 12–18 years (14.17 years) were divided into three groups: pre-pubescent ( n = 12), pubescent ( n = 22), and post-pubescent ( n = 12). Participants performed a series of tests, including the squat jump (SJ), countermovement jump (CMJ), and 10-meter and 30-meter sprint test protocols. The Post-PUB group was older ( F = 112.411, p < 0.001), more experienced in competitive soccer ( F = 8.055, p = 0.001), taller ( F = 28.940, p < 0.001), and heavier ( F = 20.618, p < 0.001), when compared to peers in the other groups. Mean differences in jumping and sprinting performances suggested a significant effect for pubertal status on performance in the 10-meter sprint (large effect size, F = 8.191, p < 0.001) and 30-meter sprint (large effect size, F = 8.093, p < 0.001) after allometric scaling. Power output derived from SJ (small effect size, F = 0.536, p = 0.001) and CMJ (small effect size, F = 1.058, p = 0.356) showed no significant differences across players of varying pubertal status. Biological maturation showed a large effect on maximal power output for sprints, but not for jumps, when the effect of body size was adjusted by statistically derived allometric exponents in young male soccer players.

Is the Relationship Between Sprinting and Maximal Aerobic Speeds in Young Soccer Players Affected by Maturation?

2010 ◽  
Vol 22 (4) ◽  
pp. 497-510 ◽  
Author(s):  
Alberto Mendez-Villanueva ◽  
Martin Buchheit ◽  
Sami Kuitunen ◽  
Tsz Kit Poon ◽  
Ben Simpson ◽  
...  
Keyword(s):  
Body Mass ◽  
Allometric Scaling ◽  
Young Male ◽  
Peak Height ◽  
Soccer Players ◽  
Height Velocity ◽  
Peak Height Velocity ◽  
Positive Correlations ◽  
The Relationship

The purpose of this study was to investigate the relationship between maximal sprinting (MSS) and aerobic (MAS) speeds in a cohort of highly-trained young male soccer players with the influence of body mass controlled for using allometric scaling. MSS and MAS were obtained in 14 pre-age at peak height velocity (APHV) players (12.3 ± 0.7 years), 21 circum-APHV players (14.3 ± 0.9 year) and 26 post-APHV players (16.9 ± 0.7 years). The three groups showed similar positive correlations between MSS and MAS (r = 0.73 to 0.52; p < .01). In conclusion, our results suggest that the relationship between MSS and MAS is not affected by maturation.

Is Eating Pathology Prevalent Among Social Media Users of Karachi, Pakistan ? A Cross-sectional Study

2021 ◽  
Author(s):  
Ibrahim Zahid ◽  
Munira Jamali ◽  
Sheena Nadeem Alam ◽  
Wajih Ul Hassan ◽  
Osama Zafar ◽  
...  
Keyword(s):  
Social Media ◽  
Eating Disorder ◽  
Eating Habits ◽  
Young Male ◽  
Cross Sectional Study ◽  
Cross Sectional ◽  
Male And Female ◽  
Use Of Social Media ◽  
Media Applications ◽  
Female Subjects

Abstract Objective: Social media has been known to influence eating habits especially amongst children and adolescents. However, substantive literature is not present that thoroughly investigates a correlation between eating disorder pathology and the use of social media applications for male and female subjects, especially in a developing country like Pakistan. This study aims to investigate and compare the effects of social media on eating disorder pathology development in young male and female Pakistanis and analyze what factors (frequency of use, type of application, content etc) increase eating disorder pathology risk amongst them. Results: The mean age of the sample was 21.1±2.6 years. A positive correlation was seen between excessive use of social media and the risk of ED pathology. High EDE-Q scorers used social media everyday and acknowledged social media pressure to stay thin. However no statistically significant differences were seen amongst male vs female subjects. Social media usage correlated with developing BID and ED pathology amongst young Pakistani users. However further investigated is warranted in other populations to reach a more substantive conclusion.

Anthropometric Characteristics and Delayed Growth in Young Artistic Gymnasts

2009 ◽  
Vol 24 (2) ◽  
pp. 91-96
Author(s):  
Theophanis Siatras ◽  
Malamati Skaperda ◽  
Dimitra Mameletzi
Keyword(s):  
Body Mass ◽  
Female Athletes ◽  
Young Male ◽  
The Body ◽  
Fat Percentage ◽  
Male And Female ◽  
Body Dimensions ◽  
Anthropometric Characteristics ◽  
Female Gymnasts ◽  
Delayed Growth

This article addresses the problem of whether high-impact artistic gymnastics training could cause delayed growth in young male and female athletes, as is believed to be the case in professional dancers. The main anthropometric characteristics of young gymnasts were measured, and the differences between gymnasts, swimmers, and nonathletes were examined. Twenty competitive gymnasts, 20 competitive swimmers, and 20 nonathletes, aged 10 to 12 yrs old, volunteered to participate in this study. Testing took place in a training field and the equipment consisted of portable anthropometric instruments. Measurements concerned body mass, stature, segment lengths (arm, forearm, trunk, thigh, and calf), body breadths (biacromical, biiliac, wrist, and ankle), circumferences (arm and thigh), and skinfold thicknesses (arm, thigh, and calf). Triceps and calf skinfold thicknesses were used to estimate the body fat percentage (%BF). The lean body mass percentage (%LBM) and the LBM/BF ratio were also evaluated. Moreover, cross-sectional areas of the arm (CSAarm) and thigh (CSAthigh) were calculated, taking into consideration the limb's circumference and four circumferential skinfolds. The results showed that, generally, young male and female gymnasts had smaller body dimensions in some anthropometric characteristics compared to swimmers and nonathletes. This mainly focused on body weight, arm and calf lengths, biiliac/biacromial breadths ratio, skinfold thicknesses, and %BF. However, gymnasts had higher %LBM, LBM/BF ratio, and CSAarm. No significant differences were found in the rest of body dimensions and composition. Although young male and female gymnasts appeared to have some lower anthropometric characteristics compared to the other two groups, it has not clearly demonstrated a delay in their somatic growth and skeletal development.

Age Differences in Change-of-Direction Performance and Its Subelements in Female Football Players

2015 ◽  
Vol 10 (4) ◽  
pp. 440-445 ◽  
Author(s):  
Norikazu Hirose ◽  
Chikako Nakahori
Keyword(s):  
Body Size ◽  
Body Mass ◽  
Age Differences ◽  
Muscle Power ◽  
Age Groups ◽  
Football Players ◽  
Cross Sectional ◽  
Sprint Speed ◽  
Change Of Direction ◽  
Age Related

Purpose:To describe cross-sectional age differences in change-of-direction performance (CODp) in female football players and investigate the relationship between CODp and linear-sprint speed, muscle power, and body size.Methods:A sample of 135 well-trained female football players was divided into 8 age groups. Anthropometry (height, body mass, and lean body mass) and athletic performance (10-m sprint speed, 10-m × 5-CODp, and 5-step bounding distance) were compared to determine interage differences using ANOVA. Then, the participants were divided into 3 age groups: 12- to 14-y-olds, 15- to 17-y-olds, and ≥ 18 y-olds. Simple- and multiple-regression analyses were conducted to determine the correlation between CODp and the other measurement variables in each age group.Results:Age-related differences were found for CODp (F = 10.41, P < .01), sprint speed (F = 3.27, P < .01), and bounding distance (F = 4.20, P < .01). Post hoc analysis revealed that the CODp of 17-y-old players was faster than that of 16-y-old players (P < .01), with no interage differences in sprint speed and bounding distance. Sprint speed and bounding distance were weakly correlated with CODp in 15- to ≥18-y-old players, but only sprint speed was correlated with CODp in 12- to 14-y-old players.Conclusions:CODp improves from 16 to 17 y of age in female players. Linear-sprint speed, muscle power, and body size were weakly correlated with the age differences in CODp.

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