Longitudinal variations of body characteristics in Italian elite adolescent football players: a pilot study

Longitudinal variations of body characteristics in Italian elite adolescent football players: a pilot study | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Longitudinal variations of body characteristics in Italian elite adolescent football players: a pilot study Stefania Toselli, Davide Latini, Alessia Grigoletto, Mario Mauro This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-5353649/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Purpose. Body characteristics and physical skills affect field performances, and the longitudinal improvements of these features allow one to join elite teams. This pilot study aims to investigate longitudinal changes (30 months) in 24 adolescent football players of an Italian elite club. Methods. Participants were clustered according to their age (U10=8, U11=11, U12=5). Anthropometry and body composition assessments were performed following standardized methods. Countermovement Jump (CMJ), maximal speed (15 meters) and change of direction (RSA) were tested. The repeated-measures ANOVA was assessed for the interaction effect between time and category. The Pearson correlation product-moment was used to correlate the changes (∆) of physical performance and body characteristics. Also, each delta of performance skill was used as the dependent variable in a multiple linear regression model. Results. Stature, body mass, Fat-Free Mass (FFM), Total Upper Area (TUA), Total Calf Area (TCA) and CMJ improved in all categories (p<0.05). The lower limb power variability was better explained by humeral diameter and the supraspinal skinfold thickness variation (adj-R 2 = 0.621 p<0.001), while both maximal speed and RSA were negatively affected by the calf fat index (p<0.01). Conclusion . Given the dynamic nature of the relationship between physical performance improvements and body shape growth, coaches, trainers, and scouters should consider what are the body features that could widely affect football players' performance and how these parameters could vary over the whole adolescence. body composition physical performance juvenile football Figures Figure 1 Introduction Football is the world’s most popular sport, but most high-profile games are played in Europe [ 1 ]. Professional football clubs' rewards associated with a successful investment in youth academies have helped focus attention on talent identification and development models [ 2 , 3 ]. Research and analysis of talent detection and development have grown considerably over the last 20 years [ 4 ]. These are the primary goals of football academies, which follow the athletes during their growth and guide them in the transition to the professional level [ 5 – 7 ]. Most of the studies related to this topic are based on cross-sectional data, but it does not allow for evaluation of the growth trend of a single boy, and nothing is known about everything that happened before. During growth, the relationships between anthropometric and performance characteristics show a higher level of complexity, and evident differences can be found due to the players' morphological growth and physiological development [ 8 , 9 ]. Thus, cross-sectional studies are not able to provide definitive information about cause-and-effect relationships, but longitudinal studies are required. Few longitudinal reports or well-controlled experimental studies are available on the anthropometric and performance characteristics of football players in literature, and this limits the current knowledge concerning youth football players’ development [ 6 , 10 – 12 ]. For this purpose, a recent systematic review of young football players has dealt with synthesizing the available information regarding longitudinal data addressing young football players’ motor performance changes [ 2 ]. This review found a series of inconsistencies and gaps in the literature since the studies tended to use too many different tests to assess physical performance in football, and it highlights the need for coaches and stakeholders to consider players’ physical performance over time whilst considering biological maturation, biological characteristics, and training stimuli. Despite the large body of scientific evidence on anthropometric and sport physiology characteristics in young football players, to the best of our knowledge, no longitudinal studies regarding young Italian players were carried out. Therefore, considering that most professional academies seek to optimize the early detection and physical development of their young players, this study aimed (1) to investigate how anthropometric characteristics and physical performance changed during growth in adolescent Italian football players; (2) to investigate how age-related anthropometric and body composition changes affected variation in players physical performance. Methods Study Design This study is a longitudinal pilot study design of 30 months (2019-2021) with two follow-ups (t 0 and t 1 , Figure 1). A total of sixty-eight football players (U10=26, U11=26 and U12=16) who belonged to the elite team Bologna Football Club 1909® were measured in February 2019. Due to the COVID-19 lockdown and pandemic emergencies have limited the possibility of carrying out intermediate evaluations, the follow-up was assessed in September 2021. There, a total of twenty-four football players (U13=8, U14=11 and U15=5) were able to pass the rigorous selection and remained with the club and were evaluated for longitudinal comparisons (Figure 1). All players trained four times a week (about 90 minutes/training day) and played a match over the weekend. The parents provided written informed consent before the study began. Players were excluded if they had any health problems that could have interfered with anthropometric measurements or the execution of motor tests. All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki Declaration and its later amendments or comparable ethical standards. The study was approved by the Bioethics Committee of the University of Bologna (Approval n. 25027, dated 13 March 2017). Figure 1 . The sample size for each group before and after the selection. Anthropometric measurements A trained operator collected all the anthropometric measurements (stature, sitting height, body mass, lengths, widths, circumferences, and skinfold thicknesses) by standardized procedures [13]. Stature and sitting height were measured to the nearest 0.1 cm with a Raven anthropometer (Raven Equipment Ltd., UK) and leg length was derived by the subtraction of sitting height from stature. The participants (barefoot) were measured in a straightened upright position with the head oriented on the Frankfurt plane. Body mass was measured to the nearest 0.1 kg using a weighing scale (Seca Deutschland Medical Measuring Systems and Scale, Hamburg, Germany) on participants dressed in light clothing. Circumferences (relaxed and contracted upper arm, thigh, and calf) were measured to the nearest 0.1 cm with a non-stretchable tape (GPM measuring tape, DKSH, Swiss) and widths (humerus and femur) to the nearest 0.1 cm with a sliding caliper, both at the left side of the body. The upper arm circumference was taken midway between the tip of the acromion and olecranon processes, with the participant’s elbow relaxed along the body side (relaxed evaluation) or to be flexed 90° with palm facing upward (contracted evaluation); the thigh circumference was taken at the mid-point between the inguinal fold and the superior rotula point, with the participant in standing position (thigh muscles relaxed); the calf circumference was taken at the bulkiest calf point, with participant in standing position (calf muscles relaxed). The humerus and femoral widths were taken, respectively, between the own lateral and medial epicondyles, with participants' elbow and knee flexed 90°. Skinfold thicknesses (biceps, triceps, subscapular, supraspinal, supra-iliac, thigh, and calf) were measured to the nearest 0.1 cm using a Lange skinfold caliper at the left side of the body (Beta Technology Inc., Houston, TX, USA): triceps and biceps were detected vertically at the mid-point between the acromion process and the olecranon process, at the posterior and anterior upper arm face respectively; subscapular, at an angle of 45° to the lateral side of the body, about 2 cm below the tip of the scapula; supraspinal skinfold thickness was measured above the anterior superior iliac spine; supra-iliac above the iliac crest (in the axillary line); thigh, vertically at the mid-point between the inguinal fold and the superior rotula point; calf, vertically at the bulkiest calf point both medially and laterally. Each anthropometric measurement was performed three times, and the mean value was gathered. Body mass index (BMI) was computed as weight (kg)/stature squared (m 2 ). The body fat percentage (%F) was estimated according to Slaughter and colleagues [14]. To complete the body composition assessment, Frisancho’s formulas [15] have also been applied to calculate the total area of the upper arm, calf, and thigh, the muscle area of the upper arm, calf, and thigh, and the fat area of the upper arm, calf, and thigh. In addition, arm fat index, calf fat index, and thigh fat index were derived. Bioelectric Impedance Analysis (BIA) Bioelectrical impedance measurements were conducted with a body impedance analyzer (BIA 101 Anniversary, Akern, Florence, Italy) using an electric current at a frequency of 50 kHz. Measurements were made using four electrical conductors; the subjects were in the supine position with a lower limb angle of 45° compared to the median line of the body and the upper limb angle of 30° from the trunk. After cleansing the skin with alcohol, two Ag/AgCl low impedance electrodes (Biatrodes Akern Srl, Florence, Italy) were placed on the back of the right hand and two electrodes were placed on the corresponding foot [16]. To avoid disturbances in fluid distribution, athletes were instructed to abstain from foods and liquids for ≥4 hours before the test. Athletes consumed a normal breakfast at 07:00 and the measurements were taken at 11:00. Physical Performance Tests We used the Countermovement Jump (CMJ) test to assess explosive lower-body power. Before testing, each participant was instructed to start from an upright position, making a rapid downward movement to a knee angle of 90° and simultaneously beginning to push off [17]. The feet' position coincided with the fitted acromion vertical line, with an extra rotation of at most 15°. The hands were maintained on the waist for the entire trial. Two minutes of rest were allowed between the three attempts, and the higher value was gathered. A 15 m sprint test was performed to evaluate the maximal speed, and the time to cover the desired distance was recorded. All participants wore training clothing and football boots, as previously recommended [18]. Players were positioned behind the start line (0.5 m) and were instructed to perform the sprint with maximal effort, after a sound start signal. Each athlete performed three attempts and the best result was gathered. To evaluate the Change of Direction (CoD) ability, an RSA test consisting of six 40 m (20 + 20 m sprints with 180°) shuttle sprints separated by 20 seconds of passive recovery was assessed as described by Rampinini and collaborators [19]. The athletes started from a line, sprinted for 20 m, touched a line with a foot and came back to the starting line as fast as possible. After the 20s of passive recovery, the football players started again. Three trials were assessed for each player. The best time (BT) in a single trial was measured. Both sprint and CoD times were recorded by photoelectric cells (Fusion Sport Smart Speed Timing Gates, Brisbane, Australia). All tests were performed under the same environmental features in both baseline and follow-up evaluations: ~18-20°C, ~40-60% humidity, 10-12 a.m. The performance battery was performed on a different day from anthropometry evaluations and had the following hierarchy: I) CMJ; II) sprint; and III) CoD. For CMJ a rigid court with no inclination was selected, whereas sprint and CoD were performed on dry grass (synthetic court). Statistical Analysis a) First hypothesis The 2019 evaluation was considered as the baseline (t 0 ) and September 2021 as the follow-up (t 1 ). For summarizing the variables' central tendency and dispersion measures, the mean and standard deviation (sd) were computed. The normality of the variables' residual distribution was previously checked through graphs (box and Q-Q plots) and then confirmed by the Shapiro–Wilk test. The repeated-measures ANOVA was performed to evaluate the time effect and its interaction with the categories. The Snedecor-Fisher test statistic value F with k-1 (number of evaluations) and n-k-1 degrees of freedom and the probability value corrected with the Greenhouse-Geisser epsilon (G-G) were reported. The post hoc test with Bonferroni correction criterium was performed to look for the time effect in each category, and the student test (t) and its related probability value (p) were reported. b) Second hypothesis The difference between t 1 and t 0 (∆= ) was calculated for any variable. The Pearson product-moment (r) was computed to find any correlation between the variation of physical performance and anthropometric characteristics, and the correlation matrix with the Sidak correction criterium was included; an r0.5 was considered a large effect [20]. The anthropometrics deltas that showed a rho value higher than 0.499 was considered a potential regressor. The stepwise backward procedure with an entry probability level of 0.07 and a remaining probability level of 0.05 was performed. The Variance Inflation Factor (VIF) was computed to check the multicollinearity and a mean VIF lower than 5 was considered acceptable [21]. To check for homoskedasticity, Szroeter’s test was computed. The standardized normal probability plot (P-P plot) was computed to control the distribution of the curve of the predicted variable. Also, Cook’s distance was computed to detect any outliers, and the threshold was settled at 4/n [22]. When any outlier was found, a new model without it was computed and compared with the desired model. Both the Akaike Information Criterium (AIC) and the Goodness of Fit (R 2 ) were confronted and a better model was provided. The R 2 , the F (k-1, n-k) values and the regression tables were reported. Results First hypothesis Table 1 shows the descriptive statistics for both 2019 and 2021 in all categories, the repeated measures ANOVA results and the interaction effects of time and category for anthropometry, body composition and physical performance. Generally, all the players showed significant changes over time, except for most skinfold thicknesses and somatotypes. As regards anthropometry, body mass (Hedges’s g=1.88 [1.20; 2.55]) and stature (g= 1.74 [1.08; 2.40]) showed the wider effect sizes, while FFM and CMJ exhibited the greatest effect for body composition (g= 1.82 [1.15; 2.49]) and physical performance (g= 1.35 [0.72; 1.96]). As regards the variations in each category, the youngest group significantly increased arm and calf circumferences and areas, FM (∆=7.64±1.90 kg) and FFM (∆=-1.72±0.92) and lower limb power (∆CMJ= 4.01±2.57 cm), whereas speed did not improve. In the U11 category, players increased their skeletal robustness (humeral and femoral diameters) and all the mass areas (∆UMA= 9.99±5.84 cm 2 , ∆CMA= 15.06±6.91 cm 2 , ∆TMA= 31.72±19.98 cm 2 ), and both power and speed showed significant improvements (CMJ g= 1.74 [2.69; 0.76], 15-m sprint g= -2.28 [-3.33; -1.20], RSA g= -2.19 [-3.23; -1.13]. Finally, in the eldest category all the lengths, circumferences and diameters increased, whereas no significant changes appeared in skinfold thicknesses (except for triceps, ∆= -2.8±1.30 mm) and somatotype features. Second hypothesis : Table 2 shows the correlation matrix between deltas of anthropometric and body composition and physical performance. Generally, variations in body mass, and triceps, supraspinal, and supra-iliac skinfold thicknesses, such as the body fat percentage, and ∆ endomorphic component were highly correlated with all motor tests. The lower limb power variation (∆ CMJ) was strongly and positively correlated with ∆ stature and trunk height, ∆ humeral diameter, and ∆ FFM, whereas negative strong correlations appeared with ∆ APHV, ∆ medial calf skinfold thickness, ∆ UMA, UFA and UFI. The maximal speed (15 meters) change was correlated with ∆ medial calf thickness, ∆ UFA and UFI, and ∆ endomorphic. As regards RSA variation, it also shows a strong direct correlation with ∆ biceps skinfold thickness, ∆ CFI, ∆ and bio-electric resistance, whereas inverse strong correlations appear with ∆ FFM, ∆ trunk height and ∆ body mass. Tables 3, 4 and 5 show the multiple regression models for CMJ, 15-meter sprint and RSA deltas respectively. For the CMJ model, the average variance inflation factor (VIF) was 1.15, while the probabilities associated with the null hypothesis of homoskedasticity for each regressor were 0.79 and 0.30. One outlier was deleted from the final model (AIC model with 24 players =110.05 vs AIC model with 23 players 101.2), which explained the 62% CMJ variability. As regards sprint, all the subjects were included and the average VIF=1.03. Both the regressors did not reject the null hypothesis of homoskedasticity (CFI χ 2 = 0.19, p= 0.67; medial calf SK χ 2 = 0.25, p= 0.62) and their adjusted goodness of fit was 0.501. Finally, the RSA regression model included two regressors (CFI and R) with 23 subjects (one outlier deleted, ∆ AIC=-40.89). The average VIF was 1.28 and both the regressors did not reject the hypothesis of homoskedasticity. The adjusted variance explained was 63.8%. Discussion In this study, we examined the variations in anthropometrical and body composition features, and physical abilities growth-related in a sample of young football players engaged in a professional Italian team. In addition, we analysed the association between physical performance and anthropometrical parameters, and we provided three new regression models to justify players' power and speed variabilities. We found that many parameters such as lengths, circumferences and areas, diameters, and body composition (fat and fat-free mass) change with age. Gravina et al. [ 23 ] suggested that body size could be an important factor for progression in a football career between 10 and 14 years of age. As regards stature and body mass, the longitudinal increments we observed were comparable to what was found by Carvalho et al. [ 24 ] in their study on Basque football players aged 10–15 years. Differently, our sample was taller, and lighter, with a lower BMI and skinfolds than Spanish players of the same age [ 23 ]. The 12-year-old players in the present study were shorter and lighter than the Belgian [ 25 ] and German players [ 26 ], but the 14-year-old players were taller and heavier than the Belgian players. The height, sitting height and body mass of the 12-year-old measured in this study were lower than those measured by Abarghoueinejad and colleagues [ 10 ] on a Portuguese sample, while the data for the 14-year-old were comparable. As far as body composition is concerned, in our study the wider improvements appeared in the elder groups between 12 and 14 years, especially for limb circumferences, fat, and muscle areas. When compared with the results of the Portuguese [ 10 ] and Czech [ 27 ] samples, Italian players exhibited lower levels of body fat percentage. The variations in body composition can be accompanied by shifts in motor dispositions [ 28 ], and the present study confirms this aspect. Despite the power of the lower limbs (CMJ) increased for all ages, maximal speed (15 meters) and change of direction ability (RSA) improved only for the older groups where bodies with wider levels of FFM were observed. However, the performance results we detected are in accordance with Leyhr and collaborators [ 28 ]. The football players of the present study showed better results in the CMJ in comparison with the Portuguese sample [ 10 ], while the values were lower than that of the Spanish players of the same age [ 23 ]. Physical performance increases considerably in the first year of their promotion [ 28 – 31 ] and before the players reach the age of peak height velocity [ 29 ]. Athletes’ physical or physiological dispositions are expected to suddenly change when they go through puberty during early adolescence [ 32 , 33 ]. Considering the correlations between physical performance and anthropometrical variations, speed, and change of direction, computed as the time needed to assess the evaluations, were negatively associated with body mass and stature, which show a positive relation with power (jump centimeters reached). Although the increase in body mass is expected to reduce maximal speed and CoD ability, its positive influence in reducing time to reach the desired distances is linked to the players' improvements in muscle and skeletal mass (FFM). In fact, circumferences and diameters exhibited an inverse relation with speed and CoD and a positive relation with CMJ, while the skinfold thicknesses, body fat and BIVA raw values showed the opposite patterns. Our results are in accordance with previous studies that found the negative impact of fat mass on power and speed performances in football players [ 3 , 5 , 23 , 34 ]. In addition, as closer the distance between the chronological age and the estimated age at peak height velocity as better the performance is. This indicates a correlation between maturation status and football results [ 35 ]. The regression models obtained in this study suggest that different parameters could affect the variabilities of a change in power and/or speed and CoD ability. The variation in centimeters reached in the jump was affected by skeletal size (humeral robustness) and supraspinal skinfold thickness, while the percentage of the calf fat area negatively affects horizontal speed performance (RSA and sprint). According to Gravina [ 23 ], sprint time is an important factor associated with selection between the ages of 10 and 14 years. Saward and collaborators [ 36 ] affirmed that from age 12, future professionals performed better in a vertical countermovement jump and were faster than future non-professionals, and improved at a faster rate, throughout their development, thus, understanding which are the factors that most influence performance has important practical implications. The quality of both the whole-body mass and its district areas results as a determinant factor in improving physical performance related to football [ 37 , 38 ]. In addition, the prognostic validity of the motor test battery for adult success has been reported in different studies [ 26 , 28 , 39 – 41 ]. This study includes several limitations: a) due to the design duration (30 months), many follow-ups could allow looking at changes over each football season, but COVID-19 has forced this design; b) a greater sample size could improve the results, but many football players dopped-out during their growth; c) all the training periodization characteristics should be collected and analysed; d) a different design with a randomized control group could exclude the effect of some confounders that should affect the adolescent growth. Conclusions The study provides results concerning changes in anthropometric characteristics, body composition and physical fitness performances for highly trained young football players over two years. Adequate training and acquisition of physical and motor skills during this period are decisive for the future progression of young football players. From the results of the present study emerges that to achieve this goal particular attention should be paid to limiting fat gain, as indicated by skinfold, and monitoring physical performance through speed and power tests. In addition, the evaluation of maturation status and its change tracking could help coaches and trainers in reducing scouting biases. Given the dynamic nature of the talent development process, this information could be of interest to practitioners who should regularly monitor the progress of anthropometric, body composition and performance characteristics to inform talent identification and retention policies in youth development programs. Declarations Competing Interests and Funding: The authors declare no competing interests. No funding was received to conduct this study. The authors declare no financial and non-financial interests. Author Contribution S. T., A. G., and M. M. wrote the main manuscript text; D. L. and M. M. prepared Figure 1 and Tables 1-5; S. 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Int J Environ Res Public Health 18:4982. https://doi.org/10.3390/ijerph18094982 Sebastiá-Rico J, Soriano JM, González-Gálvez N, Martínez-Sanz JM (2023) Body Composition of Male Professional Soccer Players Using Different Measurement Methods: A Systematic Review and Meta-Analysis. Nutrients 15:1160. https://doi.org/10.3390/nu15051160 Figueiredo AJ, Gonçalves CE, Coelho E Silva MJ, Malina RM (2009) Youth soccer players, 11-14 years: maturity, size, function, skill and goal orientation. Ann Hum Biol 36:60–73. https://doi.org/10.1080/03014460802570584 Gonaus C, Müller E (2012) Using physiological data to predict future career progression in 14- to 17-year-old Austrian soccer academy players. J Sports Sci 30:1673–1682. https://doi.org/10.1080/02640414.2012.713980 Deprez D, Buchheit M, Fransen J, et al (2015) A longitudinal study investigating the stability of anthropometry and soccer-specific endurance in pubertal high-level youth soccer players. J Sports Sci Med 14:418–426 Tables Table 1 . Descriptive statistics and repeated measures ANOVA results. 2019 (n=24) 2021 (n=24) rm ANOVA Post hoc with Bonferroni U10 (n=8) U11 (n=11) U12 (n=5) U10 →U13 U11 →U14 U12 →U15 all U10 vs U13 U11 vs U14 U12 vs U15 mean sd mean sd mean sd mean sd mean sd mean sd F (1, 21) G-G t p t p t p age, years 9.94 0.25 10.86 0.25 11.75 0.37 12.41 0.27 13.42 0.25 14.34 0.37 12249 <0.01* 65.4 <0.01* 79.57 <0.01* 54.22 <0.01* body mass, kg 32.39 4.33 37.55 5.24 38.28 0.88 41.75 4.40 52.71 9.08 58.42 3.83 152.61 <0.01* 4.72 <0.01* 8.97 <0.01* 8.03 <0.01* stature, cm 138.24 5.64 146.89 6.65 148.40 2.34 150.49 5.97 164.70 9.68 172.60 9.37 257.85 <0.01* 6.61 <0.01* 11.27 <0.01* 10.33 <0.01* low limb, cm 68.49 3.49 74.78 4.92 75.04 1.47 74.95 3.30 81.39 5.61 82.90 7.03 79.40 <0.01* 5.02 <0.01* 6.02 <0.01* 4.83 <0.01* trunk height, cm 69.75 2.42 72.11 2.67 73.36 2.22 75.54 2.92 83.31 5.75 89.70 4.16 282.50 <0.01* 5.32 <0.01* 12.08 <0.01* 11.88 <0.01* BMI, kg/m2 16.89 1.48 17.34 1.60 17.39 0.45 18.42 1.41 19.48 1.49 19.76 2.68 41.20 <0.01* 2.96 0.110 4.86 <0.01* 3.64 0.023* PHV -3.53 0.31 -2.82 0.38 -2.40 0.34 -1.84 0.44 -0.34 0.79 0.87 0.63 636.76 <0.01* 10.46 <0.01* 17.97 <0.01* 16.00 <0.01* APHV, year 13.47 0.26 13.68 0.45 14.15 0.21 14.26 0.27 13.77 0.65 13.47 0.36 0.46 0.507 4.94 <0.01* 0.66 0.990 -3.38 0.043* waist circ, cm 60.56 2.81 62.62 5.18 62.06 2.11 62.75 2.54 67.92 3.77 67.84 0.86 53.99 <0.01* 2.21 0.580 6.28 <0.01* 4.62 <0.01* hip circ, cm 70.11 4.46 75.38 4.39 74.10 1.36 75.78 4.45 84.85 5.70 85.38 2.28 175.17 <0.01* 5.18 <0.01* 10.15 <0.01* 8.15 <0.01* arm rel circ, cm 19.04 1.58 20.20 2.13 19.78 0.50 20.90 1.16 23.23 1.87 23.10 0.74 108.35 <0.01* 4.31 <0.01* 8.21 <0.01* 6.07 <0.01* arm con circ, cm 21.03 2.00 21.96 2.38 21.50 0.77 23.35 1.45 25.55 2.09 25.86 1.05 127.75 <0.01* 4.67 <0.01* 8.45 <0.01* 6.92 <0.01* calf circ, cm 28.00 2.05 29.85 1.71 29.80 1.92 30.21 1.91 33.49 2.02 33.56 0.42 108.05 <0.01* 4.37 <0.01* 8.41 <0.01* 5.87 <0.01* thigh circ, cm 38.68 2.73 41.02 2.56 41.92 1.24 41.20 2.32 45.54 3.53 46.08 1.52 52.57 <0.01* 2.98 0.110 6.26 <0.01* 3.88 0.013* humeral d, cm 5.61 0.36 5.66 0.31 5.62 0.24 6.01 0.34 6.29 0.27 6.56 0.11 175.44 <0.01* 4.91 <0.01* 9.03 <0.01* 9.13 <0.001* femoral d, cm 8.35 0.35 8.63 0.33 8.62 0.36 8.51 0.29 9.19 0.49 9.32 0.22 47.89 <0.01* 1.44 0.990 5.85 <0.01* 4.90 <0.01* tric SK, mm 8.19 1.51 8.50 1.58 9.30 1.99 8.81 1.56 7.68 2.09 6.50 1.90 6.87 0.016* 0.99 0.990 -1.53 0.980 -3.54 0.029* bic SK, mm 3.19 1.28 4.23 1.99 4.50 1.32 4.56 1.18 4.45 1.27 3.30 0.27 0.28 0.600 3.32 0.05* 0.64 0.990 -2.29 0.488 subs SK, mm 4.31 0.70 5.18 1.62 5.10 0.74 5.19 0.53 6.14 0.98 5.90 0.74 9.72 <0.01* 1.89 0.990 2.42 0.369 1.37 0.990 spinal SK, mm 3.25 1.00 5.05 2.40 5.10 0.82 4.31 0.96 5.36 1.16 5.10 0.65 1.87 0.186 1.92 0.990 0.68 0.999 0.01 0.999 iliac SK, mm 5.38 1.96 7.55 2.77 8.20 2.56 7.56 1.68 7.95 2.09 7.00 1.58 1.04 0.319 2.91 0.124 0.64 0.999 -1.26 0.990 thigh SK, mm 9.50 1.77 10.68 2.55 10.80 2.20 10.69 1.67 9.50 2.62 8.00 1.54 3.11 0.093 1.37 0.990 -1.59 0.990 -2.55 0.282 m calf SK, mm 5.44 1.72 7.00 2.63 7.60 1.47 7.00 1.75 7.45 2.47 6.80 0.84 1.23 0.280 2.60 0.252 0.89 0.999 -1.05 0.999 l calf SK, mm 6.19 1.13 7.50 1.88 8.50 2.06 7.69 1.58 8.41 2.63 6.90 1.43 0.50 0.487 2.39 0.390 1.70 0.990 -2.02 0.851 TUA, cm2 29.01 4.73 32.80 6.58 31.15 1.57 34.85 3.90 43.18 6.84 42.50 2.72 108.16 <0.01* 4.02 <0.01* 8.38 <0.01* 6.17 <0.01* UMA, cm2 21.70 3.56 24.74 5.36 22.64 1.60 26.28 3.85 34.73 6.22 35.39 4.22 93.55 <0.01* 2.95 0.110 7.57 <0.01* 6.51 <0.01* UFA, cm2 7.31 1.69 8.06 1.95 8.51 1.80 8.57 1.45 8.45 2.42 7.11 1.77 0.05 0.819 2.11 0.709 0.77 0.999 -1.85 0.990 UFI, % 25.12 3.54 24.72 3.73 27.25 5.27 24.77 4.27 19.68 5.00 16.94 5.16 26.32 <0.01* -0.21 0.999 -3.52 0.03* -4.85 <0.01* TCA, cm2 62.68 9.09 71.14 8.11 70.90 9.29 72.89 9.13 89.55 10.66 89.64 2.22 105.32 <0.01* 4.04 <0.01* 8.54 <0.01* 5.85 <0.01* CMA, cm2 46.43 7.13 51.28 8.02 50.99 6.29 54.26 6.72 66.34 10.25 65.83 3.61 88.89 <0.01* 3.57 <0.05* 8.05 <0.01* 5.35 <0.01* CFA, cm2 16.25 4.46 19.86 6.21 19.91 3.76 18.63 4.16 23.21 6.19 23.81 4.05 108.53 <0.01* 4.69 <0.01* 7.77 <0.01* 6.08 <0.01* CFI, % 25.81 5.25 27.89 7.93 27.98 3.00 25.44 3.81 26.01 6.22 26.53 4.35 7.88 0.01* -0.51 0.999 -3.05 0.092 -1.60 0.999 TTA, cm2 119.55 16.81 134.36 16.76 139.94 8.37 135.45 15.53 165.91 25.87 169.12 11.30 47.22 <0.01* 2.60 0.250 6.05 <0.01* 3.77 0.017* TMA, cm2 101.79 14.19 113.22 13.02 118.19 6.52 114.38 15.17 144.94 23.85 151.27 13.25 61.75 <0.01* 2.33 0.446 6.89 <0.01* 4.84 <0.01* TFA, cm2 17.76 3.89 21.14 5.79 21.75 4.64 21.07 3.13 20.97 6.37 17.85 2.97 0.05 0.825 1.79 0.999 -0.11 0.999 -1.67 0.990 TFI, % 14.79 2.28 15.60 3.16 15.49 2.86 15.67 2.62 12.66 3.07 10.64 2.22 11.02 <0.01* 0.78 0.999 -3.03 0.096 -3.36 0.044* BF, % 12.15 2.07 13.31 2.46 14.02 2.67 13.65 1.85 12.45 3.20 8.66 2.90 7.44 0.013* 1.59 0.990 -1.06 0.990 -4.47 <0.01* FM, kg 3.97 1.01 5.05 1.33 5.36 1.02 5.69 0.94 6.51 1.70 5.00 1.49 13.61 <0.01* 4.10 <0.01* 4.11 <0.01* -0.69 0.990 FFM, kg 28.42 3.56 32.50 4.33 32.92 1.42 36.06 3.96 46.44 8.60 53.42 4.94 150.55 <0.01* 4.07 <0.01* 8.69 <0.01* 8.62 <0.01* endomorphy 3.74 0.58 4.28 0.79 4.50 0.72 4.33 0.53 4.39 0.67 4.07 0.49 0.56 0.461 2.90 0.128 0.67 0.990 -1.67 0.990 mesomorphy 4.31 0.65 3.91 0.71 3.58 0.67 3.85 0.63 3.60 0.92 2.87 1.28 9.21 <0.01* -1.72 0.990 -1.33 0.990 -2.12 0.690 ectomorphy 3.24 0.86 3.61 0.97 3.65 0.42 3.21 0.92 3.62 0.82 4.01 1.99 0.32 0.578 -0.09 0.990 0.02 0.999 0.87 0.990 R, Ω 616.73 73.08 622.40 55.72 642.80 38.46 590.35 80.15 534.07 49.91 532.92 22.19 54.44 <0.01* -1.58 0.990 -6.21 <0.01* -5.21 <0.01* Xc, Ω 64.69 3.26 67.66 7.56 68.28 3.09 68.25 5.96 58.71 6.61 63.42 4.38 9.28 <0.01* 1.93 0.990 -5.69 <0.01* -2.08 0.746 PhA, ° 6.07 0.59 6.25 0.62 6.10 0.31 6.69 1.03 6.25 0.56 6.82 0.66 11.04 <0.01* 2.80 0.160 -0.01 0.999 2.58 0.260 CMJ, cm 25.08 4.59 26.65 3.50 27.50 3.93 29.09 3.68 32.88 3.39 37.46 6.74 102.20 <0.01* 3.66 <0.01* 6.67 <0.01* 7.19 <0.01* sprint, s 3.01 0.12 2.72 0.11 2.64 0.06 2.88 0.07 2.51 0.06 2.36 0.09 70.78 <0.01* -3.15 0.073 -6.10 <0.01* -5.53 <0.01* RSA, s 6.66 0.18 6.25 0.24 6.07 0.24 6.63 0.08 5.81 0.13 5.57 0.19 37.86 <0.01* -0.34 0.999 -5.96 <0.01* -4.58 <0.01* Note: n, sample size; rm, repeated measures; sd, standard deviation; F, Snedecor-Fisher test value; G-G, Greenhouse-Geisser epsilon; t, student test value; p, probability value; BMI, body mass index; PHV, peak height velocity; APHV, age at peak height velocity; circ, circumference; d, diameter; tric, triceps; bic, biceps; subs, subscapular; spinal; supraspinal; iliac, supra-iliac; m, medial; l, lateral; SK, skinfold thickness; R, resistance; Xc, reactance; PhA, phase angle; CMJ, countermovement jump; RSA, repeated sprint ability; *, statistically significant. Table 2 . Pearson product moment’s correlation matrix of physical performance and body composition variations ∆ RSA (s) ∆ sprint (s) ∆ CMJ (cm) ∆ RSA 1.000 ∆ sprint 0.648 1.000 ∆ CMJ -0.509 -0.676 1.000 ∆ body mass -0.516 -0.373 0.546 ∆ stature -0.374 -0.394 0.591 ∆ low limb 0.061 -0.157 0.320 ∆ trunk heigth -0.552 -0.423 0.574 ∆ BMI -0.479 -0.292 0.289 ∆ APHV 0.530 0.400 -0.597 ∆ waist c -0.172 -0.022 0.257 ∆ hip c -0.413 -0.221 0.391 ∆ arm rel c -0.277 -0.177 0.441 ∆ arm con c -0.271 -0.094 0.377 ∆ calf c -0.319 -0.311 0.292 ∆ thigh c -0.209 -0.128 0.242 ∆ humeral d -0.432 -0.324 0.672 ∆ femoral d -0.459 -0.277 0.288 ∆ tric SK 0.429 0.593 -0.604 ∆ bic SK 0.534 0.431 -0.422 ∆ subs SK 0.199 0.194 0.156 ∆ spinal SK 0.589 0.535 -0.615 ∆ iliac SK 0.579 0.557 -0.518 ∆ thigh SK 0.470 0.448 -0.255 ∆ m calf SK 0.461 0.580 -0.533 ∆ l calf SK 0.358 0.439 -0.466 ∆ TUA -0.342 -0.218 0.453 ∆ UMA -0.438 -0.398 0.590 ∆ UFA 0.393 0.580 -0.546 ∆ UFI 0.416 0.572 -0.625 ∆ TCA -0.327 -0.305 0.276 ∆ CMA -0.375 -0.355 0.317 ∆ CFA -0.011 0.010 0.009 ∆ CFI 0.579 0.551 -0.472 ∆ TTA -0.224 -0.123 0.237 ∆ TMA -0.371 -0.259 0.323 ∆ TFA 0.425 0.402 -0.235 ∆ TFI 0.492 0.483 -0.269 ∆ BF 0.511 0.582 -0.535 ∆ FM 0.321 0.497 -0.410 ∆ FFM -0.583 -0.472 0.596 ∆ endo 0.548 0.643 -0.520 ∆ meso -0.048 0.106 -0.133 ∆ ecto 0.189 0.004 0.030 ∆ R 0.666 0.488 -0.469 ∆ Xc 0.443 0.197 -0.306 ∆ PhA -0.078 -0.223 0.095 Note: BMI, body mass index; PHV, peak height velocity; APHV, age at peak height velocity; circ, circumference; d, diameter; tric, triceps; bic, biceps; subs, subscapular; spinal; supraspinal; iliac, supra iliac; m, medial; l, lateral; SK, skinfold thickness; endo, endomorphic; meso, mesomorphic; ecto, ectomorphic; R, resistance; Xc, reactance; PhA, phase angle; CMJ, countermovement jump; RSA, repeated sprint ability. Table 3 . Multiple regression model for CMJ n F (2, 20) p R 2 adj-R 2 Root MSE 23 19.04 <0.001 0.656 0.621 2.106 Source SS df MS Model 168.884 2 84.442 Residual 88.710 20 4.436 Total 257.595 22 11.709 CMJ β SE t p 95% CI humeral d 6.353 1.597 3.98 0.001 3.022 9.684 spinal SK -0.901 0.307 -2.94 0.008 -1.541 -0.262 intercept 2.556 1.139 2.24 0.036 0.179 4.933 Note: n, sample size; F, Snedecor-Fisher test value; p, probability value; R 2 , goodness of fit; adj, adjusted; MSE, mean squared error; SS, sum of squares; df, degree of freedom; MS, mean squared; CMJ, countermovement jump; β, regression coefficient; SE, standard error; t, student test value; CI, confidence interval; d, diameter; spinal; supraspinal; SK, skinfold thickness. Table 4 . Multiple regression model for 15-meter sprint n F (2, 21) p R 2 adj-R 2 Root MSE 24 12.52 <0.001 0.544 0.501 0.089 Source SS df MS Model 0.199 2 0.099 Residual 0.167 21 0.008 Total 0.367 23 0.016 sprint β SE t p 95% CI CFI 0.028 0.009 3.10 0.005 0.009 0.047 m calf SK 0.034 0.010 3.33 0.003 0.013 0.055 intercept -0.185 0.023 -8.04 0.000 -0.232 -0.137 Note: n, sample size; F, Snedecor-Fisher test value; p, probability value; R 2 , goodness of fit; adj, adjusted; MSE, mean squared error; SS, sum of squares; df, degree of freedom; MS, mean squared; β, regression coefficient; SE, standard error; t, student test value; CI, confidence interval; CFI, calf fat index; m, medial; SK, skinfold thickness. Table 5 . Multiple regression model for RSA n F (2, 20) p R 2 adj-R 2 Root MSE 23 20.39 <0.001 0.671 0.638 0.188 Source SS df MS Model 1.436 2 0.718 Residual 0.704 20 0.035 Total 2.141 22 0.097 RSA β SE t p 95% CI CFI 0.062 0.022 2.84 0.010 0.016 0.108 R 0.003 0.001 3.72 0.001 0.001 0.005 intercept -0.001 0.065 -0.01 0.993 -0.136 0.134 Note: n, sample size; F, Snedecor-Fisher test value; p, probability value; R 2 , goodness of fit; adj, adjusted; MSE, mean squared error; SS, sum of squares; df, degree of freedom; MS, mean squared; RSA, repeated sprint ability; β, regression coefficient; SE, standard error; t, student test value; CI, confidence interval; CFI, calf fat index; R, resistance. Additional Declarations No competing interests reported. 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Professional football clubs' rewards associated with a successful investment in youth academies have helped focus attention on talent identification and development models [\u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e, \u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e3\u003c/span\u003e]. Research and analysis of talent detection and development have grown considerably over the last 20 years [\u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e4\u003c/span\u003e]. These are the primary goals of football academies, which follow the athletes during their growth and guide them in the transition to the professional level [\u003cspan additionalcitationids=\"CR6\" citationid=\"CR5\" class=\"CitationRef\"\u003e5\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e7\u003c/span\u003e].\u003c/p\u003e \u003cp\u003eMost of the studies related to this topic are based on cross-sectional data, but it does not allow for evaluation of the growth trend of a single boy, and nothing is known about everything that happened before. During growth, the relationships between anthropometric and performance characteristics show a higher level of complexity, and evident differences can be found due to the players' morphological growth and physiological development [\u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e8\u003c/span\u003e, \u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e]. Thus, cross-sectional studies are not able to provide definitive information about cause-and-effect relationships, but longitudinal studies are required.\u003c/p\u003e \u003cp\u003eFew longitudinal reports or well-controlled experimental studies are available on the anthropometric and performance characteristics of football players in literature, and this limits the current knowledge concerning youth football players\u0026rsquo; development [\u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e6\u003c/span\u003e, \u003cspan additionalcitationids=\"CR11\" citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e12\u003c/span\u003e].\u003c/p\u003e \u003cp\u003eFor this purpose, a recent systematic review of young football players has dealt with synthesizing the available information regarding longitudinal data addressing young football players\u0026rsquo; motor performance changes [\u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e]. This review found a series of inconsistencies and gaps in the literature since the studies tended to use too many different tests to assess physical performance in football, and it highlights the need for coaches and stakeholders to consider players\u0026rsquo; physical performance over time whilst considering biological maturation, biological characteristics, and training stimuli.\u003c/p\u003e \u003cp\u003eDespite the large body of scientific evidence on anthropometric and sport physiology characteristics in young football players, to the best of our knowledge, no longitudinal studies regarding young Italian players were carried out.\u003c/p\u003e \u003cp\u003eTherefore, considering that most professional academies seek to optimize the early detection and physical development of their young players, this study aimed (1) to investigate how anthropometric characteristics and physical performance changed during growth in adolescent Italian football players; (2) to investigate how age-related anthropometric and body composition changes affected variation in players physical performance.\u003c/p\u003e"},{"header":"Methods","content":"\u003cp\u003e\u003cem\u003eStudy Design\u0026nbsp;\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003eThis study is a longitudinal pilot study design of 30 months (2019-2021) with two follow-ups (t\u003csub\u003e0\u003c/sub\u003e and t\u003csub\u003e1\u003c/sub\u003e, Figure 1). A total of sixty-eight football players (U10=26, U11=26 and U12=16) who belonged to the elite team Bologna Football Club 1909\u0026reg; were measured in February 2019. Due to the COVID-19 lockdown and pandemic emergencies have limited the possibility of carrying out intermediate evaluations, the follow-up was assessed in September 2021. There, a total of twenty-four football players (U13=8, U14=11 and U15=5) were able to pass the rigorous selection and remained with the club and were evaluated for longitudinal comparisons (Figure 1). All players trained four times a week (about 90 minutes/training day) and played a match over the weekend.\u003c/p\u003e\n\u003cp\u003eThe parents provided written informed consent before the study began. Players were excluded if they had any health problems that could have interfered with anthropometric measurements or the execution of motor tests.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eAll procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki Declaration and its later amendments or comparable ethical standards. The study was approved by the Bioethics Committee of the University of Bologna (Approval n. 25027, dated 13 March 2017).\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eFigure 1\u003c/strong\u003e. The sample size for each group before and after the selection.\u003c/p\u003e\n\u003cp\u003e\u003cem\u003eAnthropometric measurements\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003eA trained operator collected all the anthropometric measurements (stature, sitting height, body mass, lengths, widths, circumferences, and skinfold thicknesses) by standardized procedures\u0026nbsp;[13]. Stature and sitting height were measured to the nearest 0.1 cm with a Raven anthropometer (Raven Equipment Ltd., UK) and leg length was derived by the subtraction of sitting height from stature. The participants (barefoot) were measured in a straightened upright position with the head oriented on the Frankfurt plane. Body mass was measured to the nearest 0.1 kg using a weighing scale (Seca Deutschland Medical Measuring Systems and Scale, Hamburg, Germany) on participants dressed in light clothing. Circumferences (relaxed and contracted upper arm, thigh, and calf) were measured to the nearest 0.1 cm with a non-stretchable tape (GPM measuring tape, DKSH, Swiss) and widths (humerus and femur) to the nearest 0.1 cm with a sliding caliper, both at the left side of the body. The upper arm circumference was taken midway between the tip of the acromion and olecranon processes, with the participant\u0026rsquo;s elbow relaxed along the body side (relaxed evaluation) or to be flexed 90\u0026deg; with palm facing upward (contracted evaluation); the thigh circumference was taken at the mid-point between the inguinal fold and the superior rotula point, with the participant in standing position (thigh muscles relaxed); the calf circumference was taken at the bulkiest calf point, with participant in standing position (calf muscles relaxed). The humerus and femoral widths were taken, respectively, between the own lateral and medial epicondyles, with participants\u0026apos; elbow and knee flexed 90\u0026deg;. Skinfold thicknesses (biceps, triceps, subscapular, supraspinal, supra-iliac, thigh, and calf) were measured to the nearest 0.1 cm using a Lange skinfold caliper at the left side of the body (Beta Technology Inc., Houston, TX, USA): triceps and biceps were detected vertically at the mid-point between the acromion process and the olecranon process, at the posterior and anterior upper arm face respectively; subscapular, at an angle of 45\u0026deg; to the lateral side of the body, about 2 cm below the tip of the scapula; supraspinal skinfold thickness was measured above the anterior superior iliac spine; supra-iliac above the iliac crest (in the axillary line); thigh, vertically at the mid-point between the inguinal fold and the superior rotula point; calf, vertically at the bulkiest calf point both medially and laterally.\u003c/p\u003e\n\u003cp\u003eEach anthropometric measurement was performed three times, and the mean value was gathered.\u003c/p\u003e\n\u003cp\u003eBody mass index (BMI) was computed as weight (kg)/stature squared (m\u003csup\u003e2\u003c/sup\u003e). The body fat percentage (%F) was estimated according to Slaughter and colleagues\u0026nbsp;[14]. To complete the body composition assessment, Frisancho\u0026rsquo;s formulas\u0026nbsp;[15]\u0026nbsp;have also been applied to calculate the total area of the upper arm, calf, and thigh, the muscle area of the upper arm, calf, and thigh, and the fat area of the upper arm, calf, and thigh. \u0026nbsp;In addition, arm fat index, calf fat index, and thigh fat index were derived.\u003c/p\u003e\n\u003cp\u003e\u003cem\u003eBioelectric Impedance Analysis (BIA)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003eBioelectrical impedance measurements were conducted with a body impedance analyzer (BIA 101 Anniversary, Akern, Florence, Italy) using an electric current at a frequency of 50 kHz.\u003c/p\u003e\n\u003cp\u003eMeasurements were made using four electrical conductors; the subjects were in the supine position with a lower limb angle of 45\u0026deg; compared to the median line of the body and the upper limb angle of 30\u0026deg; from the trunk. After cleansing the skin with alcohol, two Ag/AgCl low impedance electrodes (Biatrodes Akern Srl, Florence, Italy) were placed on the back of the right hand and two electrodes were placed on the corresponding foot\u0026nbsp;[16].\u003c/p\u003e\n\u003cp\u003eTo avoid disturbances in fluid distribution, athletes were instructed to abstain from foods and liquids for \u0026ge;4 hours before the test. Athletes consumed a normal breakfast at 07:00 and the measurements were taken at 11:00.\u003c/p\u003e\n\u003cp\u003e\u003cem\u003ePhysical Performance Tests\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003eWe used the Countermovement Jump (CMJ) test to assess explosive lower-body power. Before testing, each participant was instructed to start from an upright position, making a rapid downward movement to a knee angle of 90\u0026deg; and simultaneously beginning to push off\u0026nbsp;[17]. The feet\u0026apos; position coincided with the fitted acromion vertical line, with an extra rotation of at most 15\u0026deg;. The hands were maintained on the waist for the entire trial. Two minutes of rest were allowed between the three attempts, and the higher value was gathered.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eA 15 m sprint test was performed to evaluate the maximal speed, and the time to cover the desired distance was recorded. All participants wore training clothing and football boots, as previously recommended\u0026nbsp;[18]. Players were positioned behind the start line (0.5 m) and were instructed to perform the sprint with maximal effort, after a sound start signal. Each athlete performed three attempts and the best result was gathered.\u003c/p\u003e\n\u003cp\u003eTo evaluate the Change of Direction (CoD) ability, an RSA test consisting of six 40 m (20 + 20 m sprints with 180\u0026deg;) shuttle sprints separated by 20 seconds of passive recovery was assessed as described by Rampinini and collaborators\u0026nbsp;[19]. The athletes started from a line, sprinted for 20 m, touched a line with a foot and came back to the starting line as fast as possible. After the 20s of passive recovery, the football players started again. Three trials were assessed for each player. The best time (BT) in a single trial was measured.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eBoth sprint and CoD times were recorded by photoelectric cells (Fusion Sport Smart Speed Timing Gates, Brisbane, Australia).\u003c/p\u003e\n\u003cp\u003eAll tests were performed under the same environmental features in both baseline and follow-up evaluations: ~18-20\u0026deg;C, ~40-60% humidity, 10-12 a.m. The performance battery was performed on a different day from anthropometry evaluations and had the following hierarchy: I) CMJ; II) sprint; and\u0026nbsp;III) CoD. For CMJ a rigid court with no inclination was selected, whereas sprint and CoD were performed on dry grass (synthetic court).\u003c/p\u003e\n\u003cp\u003e\u003cem\u003eStatistical Analysis\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003ea)\u0026nbsp; \u0026nbsp;First hypothesis\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eThe 2019 evaluation was considered as the baseline (t\u003csub\u003e0\u003c/sub\u003e) and September 2021 as the follow-up (t\u003csub\u003e1\u003c/sub\u003e). For summarizing the variables\u0026apos; central tendency and dispersion measures, the mean and standard deviation (sd) were computed. The normality of the variables\u0026apos; residual distribution was previously checked through graphs (box and Q-Q plots) and then confirmed by the Shapiro\u0026ndash;Wilk test. The repeated-measures ANOVA was performed to evaluate the time effect and its interaction with the categories. The Snedecor-Fisher test statistic value F with k-1 (number of evaluations) and n-k-1 degrees of freedom and the probability value corrected with the Greenhouse-Geisser epsilon (G-G) were reported. The post hoc test with Bonferroni correction criterium was performed to look for the time effect in each category, and the student test (t) and its related probability value (p) were reported.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eb)\u0026nbsp; \u0026nbsp;Second hypothesis\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eThe difference between t\u003csub\u003e1\u003c/sub\u003e and t\u003csub\u003e0\u003c/sub\u003e (∆=\u0026nbsp;) was calculated for any variable. The Pearson product-moment (r) was computed to find any correlation between the variation of physical performance and anthropometric characteristics, and the correlation matrix with the Sidak correction criterium was included; an r\u0026lt;0.10 was considered a small effect, while an r\u0026gt;0.5 was considered a large effect\u0026nbsp;[20]. The anthropometrics deltas that showed a rho value higher than 0.499 was considered a potential regressor. The stepwise backward procedure with an entry probability level of 0.07 and a remaining probability level of 0.05 was performed. The Variance Inflation Factor (VIF) was computed to check the multicollinearity and a mean VIF lower than 5 was considered acceptable\u0026nbsp;[21]. To check for homoskedasticity, Szroeter\u0026rsquo;s test was computed. The standardized normal probability plot (P-P plot) was computed to control the distribution of the curve of the predicted variable. Also, Cook\u0026rsquo;s distance was computed to detect any outliers, and the threshold was settled at 4/n\u0026nbsp;[22]. When any outlier was found, a new model without it was computed and compared with the desired model. Both the Akaike Information Criterium (AIC) and the Goodness of Fit (R\u003csup\u003e2\u003c/sup\u003e) were confronted and a better model was provided. The R\u003csup\u003e2\u003c/sup\u003e, the F \u003csub\u003e(k-1, n-k)\u003c/sub\u003e values and the regression tables were reported.\u003c/p\u003e"},{"header":"Results","content":"\u003cp\u003e\u003cem\u003eFirst hypothesis\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003eTable 1 shows the descriptive statistics for both 2019 and 2021 in all categories, the repeated measures ANOVA results and the interaction effects of time and category for anthropometry, body composition and physical performance. Generally, all the players showed significant changes over time, except for most skinfold thicknesses and somatotypes. As regards anthropometry, body mass (Hedges’s g=1.88 [1.20; 2.55]) and stature (g= 1.74 [1.08; 2.40]) showed the wider effect sizes, while FFM and CMJ exhibited the greatest effect for body composition (g= 1.82 [1.15; 2.49]) and physical performance (g= 1.35 [0.72; 1.96]).\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eAs regards the variations in each category, the youngest group significantly increased arm and calf circumferences and areas, FM (∆=7.64±1.90 kg) and FFM (∆=-1.72±0.92) and lower limb power (∆CMJ= 4.01±2.57 cm), whereas speed did not improve. In the U11 category, players increased their skeletal robustness (humeral and femoral diameters) and all the mass areas (∆UMA= 9.99±5.84 cm\u003csup\u003e2\u003c/sup\u003e, ∆CMA= 15.06±6.91 cm\u003csup\u003e2\u003c/sup\u003e, ∆TMA= 31.72±19.98 cm\u003csup\u003e2\u003c/sup\u003e), and both power and speed showed significant improvements (CMJ g= 1.74 [2.69; 0.76], 15-m sprint g= -2.28 [-3.33; -1.20], RSA g= -2.19 [-3.23; -1.13]. Finally, in the eldest category all the lengths, circumferences and diameters increased, whereas no significant changes appeared in skinfold thicknesses (except for triceps, ∆= -2.8±1.30 mm) and somatotype features.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cem\u003eSecond hypothesis\u003c/em\u003e:\u003c/p\u003e\n\u003cp\u003eTable 2 shows the correlation matrix between deltas of anthropometric and body composition and physical performance. Generally, variations in body mass, and triceps, supraspinal, and supra-iliac skinfold thicknesses, such as the body fat percentage, and ∆ endomorphic component were highly correlated with all motor tests. The lower limb power variation (∆ CMJ) was strongly and positively correlated with ∆ stature and trunk height, ∆ humeral diameter, and ∆ FFM, whereas negative strong correlations appeared with ∆ APHV, ∆ medial calf skinfold thickness, ∆ UMA, UFA and UFI. The maximal speed (15 meters) change was correlated with ∆ medial calf thickness, ∆ UFA and UFI, and ∆ endomorphic. As regards RSA variation, it also shows a strong direct correlation with ∆ biceps skinfold thickness, ∆ CFI, ∆ and bio-electric resistance, whereas inverse strong correlations appear with ∆ FFM, ∆ trunk height and ∆ body mass.\u003c/p\u003e\n\u003cp\u003eTables 3, 4 and 5 show the multiple regression models for CMJ, 15-meter sprint and RSA deltas respectively. For the CMJ model, the average variance inflation factor (VIF) was 1.15, while the probabilities associated with the null hypothesis of homoskedasticity for each regressor were 0.79 and 0.30. One outlier was deleted from the final model (AIC model with 24 players =110.05 vs AIC model with 23 players 101.2), which explained the 62% CMJ variability. As regards sprint, all the subjects were included and the average VIF=1.03. Both the regressors did not reject the null hypothesis of homoskedasticity (CFI χ\u003csup\u003e2\u003c/sup\u003e= 0.19, p= 0.67; medial calf SK χ\u003csup\u003e2\u003c/sup\u003e= 0.25, p= 0.62) and their adjusted goodness of fit was 0.501. Finally, the RSA regression model included two regressors (CFI and R) with 23 subjects (one outlier deleted, ∆ AIC=-40.89). The average VIF was 1.28 and both the regressors did not reject the hypothesis of homoskedasticity. The adjusted variance explained was 63.8%.\u003c/p\u003e"},{"header":"Discussion","content":"\u003cp\u003eIn this study, we examined the variations in anthropometrical and body composition features, and physical abilities growth-related in a sample of young football players engaged in a professional Italian team. In addition, we analysed the association between physical performance and anthropometrical parameters, and we provided three new regression models to justify players' power and speed variabilities.\u003c/p\u003e \u003cp\u003eWe found that many parameters such as lengths, circumferences and areas, diameters, and body composition (fat and fat-free mass) change with age. Gravina et al. [\u003cspan citationid=\"CR23\" class=\"CitationRef\"\u003e23\u003c/span\u003e] suggested that body size could be an important factor for progression in a football career between 10 and 14 years of age. As regards stature and body mass, the longitudinal increments we observed were comparable to what was found by Carvalho et al. [\u003cspan citationid=\"CR24\" class=\"CitationRef\"\u003e24\u003c/span\u003e] in their study on Basque football players aged 10\u0026ndash;15 years. Differently, our sample was taller, and lighter, with a lower BMI and skinfolds than Spanish players of the same age [\u003cspan citationid=\"CR23\" class=\"CitationRef\"\u003e23\u003c/span\u003e]. The 12-year-old players in the present study were shorter and lighter than the Belgian [\u003cspan citationid=\"CR25\" class=\"CitationRef\"\u003e25\u003c/span\u003e] and German players [\u003cspan citationid=\"CR26\" class=\"CitationRef\"\u003e26\u003c/span\u003e], but the 14-year-old players were taller and heavier than the Belgian players. The height, sitting height and body mass of the 12-year-old measured in this study were lower than those measured by Abarghoueinejad and colleagues [\u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e] on a Portuguese sample, while the data for the 14-year-old were comparable.\u003c/p\u003e \u003cp\u003eAs far as body composition is concerned, in our study the wider improvements appeared in the elder groups between 12 and 14 years, especially for limb circumferences, fat, and muscle areas. When compared with the results of the Portuguese [\u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e] and Czech [\u003cspan citationid=\"CR27\" class=\"CitationRef\"\u003e27\u003c/span\u003e] samples, Italian players exhibited lower levels of body fat percentage. The variations in body composition can be accompanied by shifts in motor dispositions [\u003cspan citationid=\"CR28\" class=\"CitationRef\"\u003e28\u003c/span\u003e], and the present study confirms this aspect. Despite the power of the lower limbs (CMJ) increased for all ages, maximal speed (15 meters) and change of direction ability (RSA) improved only for the older groups where bodies with wider levels of FFM were observed. However, the performance results we detected are in accordance with Leyhr and collaborators [\u003cspan citationid=\"CR28\" class=\"CitationRef\"\u003e28\u003c/span\u003e]. The football players of the present study showed better results in the CMJ in comparison with the Portuguese sample [\u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e], while the values were lower than that of the Spanish players of the same age [\u003cspan citationid=\"CR23\" class=\"CitationRef\"\u003e23\u003c/span\u003e]. Physical performance increases considerably in the first year of their promotion [\u003cspan additionalcitationids=\"CR29 CR30\" citationid=\"CR28\" class=\"CitationRef\"\u003e28\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR31\" class=\"CitationRef\"\u003e31\u003c/span\u003e] and before the players reach the age of peak height velocity [\u003cspan citationid=\"CR29\" class=\"CitationRef\"\u003e29\u003c/span\u003e]. Athletes\u0026rsquo; physical or physiological dispositions are expected to suddenly change when they go through puberty during early adolescence [\u003cspan citationid=\"CR32\" class=\"CitationRef\"\u003e32\u003c/span\u003e, \u003cspan citationid=\"CR33\" class=\"CitationRef\"\u003e33\u003c/span\u003e].\u003c/p\u003e \u003cp\u003eConsidering the correlations between physical performance and anthropometrical variations, speed, and change of direction, computed as the time needed to assess the evaluations, were negatively associated with body mass and stature, which show a positive relation with power (jump centimeters reached). Although the increase in body mass is expected to reduce maximal speed and CoD ability, its positive influence in reducing time to reach the desired distances is linked to the players' improvements in muscle and skeletal mass (FFM). In fact, circumferences and diameters exhibited an inverse relation with speed and CoD and a positive relation with CMJ, while the skinfold thicknesses, body fat and BIVA raw values showed the opposite patterns. Our results are in accordance with previous studies that found the negative impact of fat mass on power and speed performances in football players [\u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e3\u003c/span\u003e, \u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e5\u003c/span\u003e, \u003cspan citationid=\"CR23\" class=\"CitationRef\"\u003e23\u003c/span\u003e, \u003cspan citationid=\"CR34\" class=\"CitationRef\"\u003e34\u003c/span\u003e]. In addition, as closer the distance between the chronological age and the estimated age at peak height velocity as better the performance is. This indicates a correlation between maturation status and football results [\u003cspan citationid=\"CR35\" class=\"CitationRef\"\u003e35\u003c/span\u003e].\u003c/p\u003e \u003cp\u003eThe regression models obtained in this study suggest that different parameters could affect the variabilities of a change in power and/or speed and CoD ability. The variation in centimeters reached in the jump was affected by skeletal size (humeral robustness) and supraspinal skinfold thickness, while the percentage of the calf fat area negatively affects horizontal speed performance (RSA and sprint). According to Gravina [\u003cspan citationid=\"CR23\" class=\"CitationRef\"\u003e23\u003c/span\u003e], sprint time is an important factor associated with selection between the ages of 10 and 14 years. Saward and collaborators [\u003cspan citationid=\"CR36\" class=\"CitationRef\"\u003e36\u003c/span\u003e] affirmed that from age 12, future professionals performed better in a vertical countermovement jump and were faster than future non-professionals, and improved at a faster rate, throughout their development, thus, understanding which are the factors that most influence performance has important practical implications. The quality of both the whole-body mass and its district areas results as a determinant factor in improving physical performance related to football [\u003cspan citationid=\"CR37\" class=\"CitationRef\"\u003e37\u003c/span\u003e, \u003cspan citationid=\"CR38\" class=\"CitationRef\"\u003e38\u003c/span\u003e]. In addition, the prognostic validity of the motor test battery for adult success has been reported in different studies [\u003cspan citationid=\"CR26\" class=\"CitationRef\"\u003e26\u003c/span\u003e, \u003cspan citationid=\"CR28\" class=\"CitationRef\"\u003e28\u003c/span\u003e, \u003cspan additionalcitationids=\"CR40\" citationid=\"CR39\" class=\"CitationRef\"\u003e39\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR41\" class=\"CitationRef\"\u003e41\u003c/span\u003e].\u003c/p\u003e \u003cp\u003eThis study includes several limitations: a) due to the design duration (30 months), many follow-ups could allow looking at changes over each football season, but COVID-19 has forced this design; b) a greater sample size could improve the results, but many football players dopped-out during their growth; c) all the training periodization characteristics should be collected and analysed; d) a different design with a randomized control group could exclude the effect of some confounders that should affect the adolescent growth.\u003c/p\u003e"},{"header":"Conclusions","content":"\u003cp\u003eThe study provides results concerning changes in anthropometric characteristics, body composition and physical fitness performances for highly trained young football players over two years. Adequate training and acquisition of physical and motor skills during this period are decisive for the future progression of young football players. From the results of the present study emerges that to achieve this goal particular attention should be paid to limiting fat gain, as indicated by skinfold, and monitoring physical performance through speed and power tests. In addition, the evaluation of maturation status and its change tracking could help coaches and trainers in reducing scouting biases. Given the dynamic nature of the talent development process, this information could be of interest to practitioners who should regularly monitor the progress of anthropometric, body composition and performance characteristics to inform talent identification and retention policies in youth development programs.\u003c/p\u003e"},{"header":"Declarations","content":"\u003cp\u003e\u003cstrong\u003eCompeting Interests and Funding:\u0026nbsp;\u003c/strong\u003eThe\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003eauthors declare no competing interests. No funding was received to conduct this study. The authors declare no financial and non-financial interests.\u003c/p\u003e\u003ch2\u003eAuthor Contribution\u003c/h2\u003e\u003cp\u003eS. T., A. G., and M. M. wrote the main manuscript text; D. L. and M. M. prepared Figure 1 and Tables 1-5; S. T. and M. M. analysed data and processed the results; all authors contributed to the evaluation assessments.\u003c/p\u003e\u003ch2\u003eAcknowledgements\u003c/h2\u003e \u003cp\u003eThanks to F.C. Bologna and its staff for supporting this research project.\u003c/p\u003e\u003ch2\u003eData Availability\u003c/h2\u003e\u003cp\u003eData that supports the findings of this study have been deposited in OSF under the name Adolescent Soccer Players, DATASET_delta, at the following DOI: 10.17605/OSF.IO/BNH6K.\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\n\u003cli\u003eYam KC, Jackson JC, Lau J, et al (2020) Association of high profile football matches in Europe with traffic accidents in Asia: archival study. BMJ 371:m4465. https://doi.org/10.1136/bmj.m4465\u003c/li\u003e\n\u003cli\u003eAbarghoueinejad M, Baxter-Jones ADG, Gomes TN, et al (2021) Motor Performance in Male Youth Soccer Players: A Systematic Review of Longitudinal Studies. 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Int J Sports Med 34:897\u0026ndash;903. https://doi.org/10.1055/s-0032-1333262\u003c/li\u003e\n\u003cli\u003eHuijgen BCH, Elferink-Gemser MT, Post W, Visscher C (2010) Development of dribbling in talented youth soccer players aged 12-19 years: a longitudinal study. J Sports Sci 28:689\u0026ndash;698. https://doi.org/10.1080/02640411003645679\u003c/li\u003e\n\u003cli\u003eForsman H, Gr\u0026aring;st\u0026eacute;n A, Blomqvist M, et al (2016) Development of perceived competence, tactical skills, motivation, technical skills, and speed and agility in young soccer players. J Sports Sci 34:1311\u0026ndash;1318. https://doi.org/10.1080/02640414.2015.1127401\u003c/li\u003e\n\u003cli\u003eKerherv\u0026eacute; IR Keith Davids, Elissa Phillips, Hugo (2011) Developing talent in athletes as complex neurobiological systems. In: Talent Identification and Development in Sport. Routledge\u003c/li\u003e\n\u003cli\u003eToselli S, Mauro M, Grigoletto A, et al (2022) Maturation Selection Biases and Relative Age Effect in Italian Soccer Players of Different Levels. Biology 11:1559. https://doi.org/10.3390/biology11111559\u003c/li\u003e\n\u003cli\u003eMalina RM, Bouchard C, Bar-Or O (2004) Growth, Maturation, and Physical Activity. Human Kinetics\u003c/li\u003e\n\u003cli\u003eSaward C, Morris JG, Nevill ME, et al (2020) Psychological characteristics of developing excellence in elite youth football players in English professional academies. J Sports Sci 38:1380\u0026ndash;1386. https://doi.org/10.1080/02640414.2019.1676526\u003c/li\u003e\n\u003cli\u003eSpehnjak M, Gu\u0026scaron;ić M, Molnar S, et al (2021) Body Composition in Elite Soccer Players from Youth to Senior Squad. Int J Environ Res Public Health 18:4982. https://doi.org/10.3390/ijerph18094982\u003c/li\u003e\n\u003cli\u003eSebasti\u0026aacute;-Rico J, Soriano JM, Gonz\u0026aacute;lez-G\u0026aacute;lvez N, Mart\u0026iacute;nez-Sanz JM (2023) Body Composition of Male Professional Soccer Players Using Different Measurement Methods: A Systematic Review and Meta-Analysis. Nutrients 15:1160. https://doi.org/10.3390/nu15051160\u003c/li\u003e\n\u003cli\u003eFigueiredo AJ, Gon\u0026ccedil;alves CE, Coelho E Silva MJ, Malina RM (2009) Youth soccer players, 11-14 years: maturity, size, function, skill and goal orientation. Ann Hum Biol 36:60\u0026ndash;73. https://doi.org/10.1080/03014460802570584\u003c/li\u003e\n\u003cli\u003eGonaus C, M\u0026uuml;ller E (2012) Using physiological data to predict future career progression in 14- to 17-year-old Austrian soccer academy players. J Sports Sci 30:1673\u0026ndash;1682. https://doi.org/10.1080/02640414.2012.713980\u003c/li\u003e\n\u003cli\u003eDeprez D, Buchheit M, Fransen J, et al (2015) A longitudinal study investigating the stability of anthropometry and soccer-specific endurance in pubertal high-level youth soccer players. J Sports Sci Med 14:418\u0026ndash;426\u003c/li\u003e\n\u003c/ol\u003e"},{"header":"Tables","content":"\u003ctable border=\"0\" cellspacing=\"0\" cellpadding=\"0\" width=\"100%\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"21\" valign=\"bottom\" style=\"width: 98%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eTable 1\u003c/strong\u003e. Descriptive statistics and repeated measures ANOVA results.\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd height=\"21\" style=\"width: 0px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 9%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd colspan=\"6\" valign=\"bottom\" style=\"width: 26%;\"\u003e\n \u003cp\u003e2019 (n=24)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"6\" valign=\"bottom\" style=\"width: 26%;\"\u003e\n \u003cp\u003e2021 (n=24)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"bottom\" style=\"width: 9%;\"\u003e\n \u003cp\u003erm ANOVA\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"6\" valign=\"bottom\" style=\"width: 27%;\"\u003e\n \u003cp\u003ePost hoc with Bonferroni\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd height=\"20\" style=\"width: 0px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 9%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"bottom\" style=\"width: 8%;\"\u003e\n \u003cp\u003eU10 (n=8)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"bottom\" style=\"width: 8%;\"\u003e\n \u003cp\u003eU11 (n=11)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"bottom\" style=\"width: 8%;\"\u003e\n \u003cp\u003eU12 (n=5)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"bottom\" style=\"width: 8%;\"\u003e\n \u003cp\u003eU10 \u0026rarr;U13\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"bottom\" style=\"width: 8%;\"\u003e\n \u003cp\u003eU11 \u0026rarr;U14\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"bottom\" style=\"width: 8%;\"\u003e\n \u003cp\u003eU12 \u0026rarr;U15\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"bottom\" style=\"width: 9%;\"\u003e\n \u003cp\u003eall\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"bottom\" style=\"width: 8%;\"\u003e\n \u003cp\u003eU10 vs U13\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"bottom\" style=\"width: 9%;\"\u003e\n \u003cp\u003eU11 vs U14\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"bottom\" style=\"width: 9%;\"\u003e\n \u003cp\u003eU12 vs U15\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd height=\"20\" style=\"width: 0px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 9%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003emean\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003esd\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003emean\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003esd\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003emean\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003esd\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003emean\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003esd\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003emean\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003esd\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003emean\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003esd\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003eF\u0026nbsp;(1, 21)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003eG-G\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003et\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003ep\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003et\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 5%;\"\u003e\n \u003cp\u003ep\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003et\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 5%;\"\u003e\n \u003cp\u003ep\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd height=\"24\" style=\"width: 0px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 9%;\"\u003e\n \u003cp\u003eage, years\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e9.94\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e0.25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e10.86\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e0.25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e11.75\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e0.37\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e12.41\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e0.27\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e13.42\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e0.25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e14.34\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e0.37\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e12249\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e\u0026lt;0.01*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e65.4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e\u0026lt;0.01*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e79.57\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 5%;\"\u003e\n \u003cp\u003e\u0026lt;0.01*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e54.22\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 5%;\"\u003e\n \u003cp\u003e\u0026lt;0.01*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd height=\"20\" style=\"width: 0px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 9%;\"\u003e\n \u003cp\u003ebody mass, kg\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e32.39\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e4.33\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e37.55\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e5.24\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e38.28\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e0.88\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e41.75\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e4.40\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e52.71\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e9.08\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e58.42\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e3.83\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e152.61\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e\u0026lt;0.01*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e4.72\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e\u0026lt;0.01*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e8.97\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 5%;\"\u003e\n \u003cp\u003e\u0026lt;0.01*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e8.03\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 5%;\"\u003e\n \u003cp\u003e\u0026lt;0.01*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd height=\"20\" style=\"width: 0px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 9%;\"\u003e\n \u003cp\u003estature, cm\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e138.24\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e5.64\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e146.89\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e6.65\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e148.40\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e2.34\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e150.49\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e5.97\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e164.70\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e9.68\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e172.60\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e9.37\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e257.85\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e\u0026lt;0.01*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e6.61\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e\u0026lt;0.01*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e11.27\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 5%;\"\u003e\n \u003cp\u003e\u0026lt;0.01*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e10.33\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 5%;\"\u003e\n \u003cp\u003e\u0026lt;0.01*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd height=\"20\" style=\"width: 0px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 9%;\"\u003e\n \u003cp\u003elow limb, cm\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e68.49\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e3.49\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e74.78\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e4.92\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e75.04\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e1.47\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e74.95\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e3.30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e81.39\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e5.61\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e82.90\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e7.03\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e79.40\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e\u0026lt;0.01*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e5.02\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e\u0026lt;0.01*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e6.02\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 5%;\"\u003e\n \u003cp\u003e\u0026lt;0.01*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e4.83\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 5%;\"\u003e\n \u003cp\u003e\u0026lt;0.01*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd height=\"20\" style=\"width: 0px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 9%;\"\u003e\n \u003cp\u003etrunk height, cm\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e69.75\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e2.42\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e72.11\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e2.67\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e73.36\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e2.22\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e75.54\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e2.92\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e83.31\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e5.75\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e89.70\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e4.16\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e282.50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e\u0026lt;0.01*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e5.32\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e\u0026lt;0.01*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e12.08\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 5%;\"\u003e\n \u003cp\u003e\u0026lt;0.01*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e11.88\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 5%;\"\u003e\n \u003cp\u003e\u0026lt;0.01*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd height=\"20\" style=\"width: 0px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 9%;\"\u003e\n \u003cp\u003eBMI, kg/m2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e16.89\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e1.48\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e17.34\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e1.60\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e17.39\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e0.45\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e18.42\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e1.41\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e19.48\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e1.49\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e19.76\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e2.68\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e41.20\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e\u0026lt;0.01*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e2.96\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e0.110\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e4.86\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 5%;\"\u003e\n \u003cp\u003e\u0026lt;0.01*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e3.64\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 5%;\"\u003e\n \u003cp\u003e0.023*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd height=\"24\" style=\"width: 0px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 9%;\"\u003e\n \u003cp\u003ePHV\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e-3.53\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e0.31\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e-2.82\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e0.38\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e-2.40\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e0.34\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e-1.84\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e0.44\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e-0.34\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e0.79\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e0.87\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e0.63\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e636.76\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e\u0026lt;0.01*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e10.46\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e\u0026lt;0.01*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e17.97\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 5%;\"\u003e\n \u003cp\u003e\u0026lt;0.01*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e16.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 5%;\"\u003e\n \u003cp\u003e\u0026lt;0.01*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd height=\"20\" style=\"width: 0px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 9%;\"\u003e\n \u003cp\u003eAPHV, year\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e13.47\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e0.26\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e13.68\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e0.45\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e14.15\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e0.21\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e14.26\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e0.27\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e13.77\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e0.65\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e13.47\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e0.36\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e0.46\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e0.507\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e4.94\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e\u0026lt;0.01*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e0.66\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 5%;\"\u003e\n \u003cp\u003e0.990\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e-3.38\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 5%;\"\u003e\n \u003cp\u003e0.043*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd height=\"20\" style=\"width: 0px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 9%;\"\u003e\n \u003cp\u003ewaist circ, cm\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e60.56\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e2.81\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e62.62\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e5.18\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e62.06\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e2.11\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e62.75\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e2.54\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e67.92\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e3.77\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e67.84\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e0.86\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e53.99\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e\u0026lt;0.01*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e2.21\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e0.580\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e6.28\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 5%;\"\u003e\n \u003cp\u003e\u0026lt;0.01*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e4.62\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 5%;\"\u003e\n \u003cp\u003e\u0026lt;0.01*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd height=\"20\" style=\"width: 0px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 9%;\"\u003e\n \u003cp\u003ehip circ, cm\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e70.11\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e4.46\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e75.38\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e4.39\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e74.10\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e1.36\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e75.78\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e4.45\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e84.85\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e5.70\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e85.38\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e2.28\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e175.17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e\u0026lt;0.01*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e5.18\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e\u0026lt;0.01*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e10.15\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 5%;\"\u003e\n \u003cp\u003e\u0026lt;0.01*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e8.15\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 5%;\"\u003e\n \u003cp\u003e\u0026lt;0.01*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd height=\"20\" style=\"width: 0px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 9%;\"\u003e\n \u003cp\u003earm rel circ, cm\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e19.04\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e1.58\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e20.20\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e2.13\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e19.78\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e0.50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e20.90\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e1.16\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e23.23\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e1.87\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e23.10\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e0.74\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e108.35\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e\u0026lt;0.01*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e4.31\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e\u0026lt;0.01*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e8.21\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 5%;\"\u003e\n \u003cp\u003e\u0026lt;0.01*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e6.07\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 5%;\"\u003e\n \u003cp\u003e\u0026lt;0.01*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd height=\"20\" style=\"width: 0px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 9%;\"\u003e\n \u003cp\u003earm con circ, cm\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e21.03\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e2.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e21.96\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e2.38\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e21.50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e0.77\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e23.35\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e1.45\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e25.55\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e2.09\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e25.86\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e1.05\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e127.75\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e\u0026lt;0.01*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e4.67\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e\u0026lt;0.01*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e8.45\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 5%;\"\u003e\n \u003cp\u003e\u0026lt;0.01*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e6.92\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 5%;\"\u003e\n \u003cp\u003e\u0026lt;0.01*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd height=\"20\" style=\"width: 0px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 9%;\"\u003e\n \u003cp\u003ecalf circ, cm\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e28.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e2.05\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e29.85\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e1.71\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e29.80\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e1.92\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e30.21\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e1.91\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e33.49\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e2.02\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e33.56\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e0.42\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e108.05\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e\u0026lt;0.01*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e4.37\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e\u0026lt;0.01*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e8.41\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 5%;\"\u003e\n \u003cp\u003e\u0026lt;0.01*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e5.87\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 5%;\"\u003e\n \u003cp\u003e\u0026lt;0.01*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd height=\"20\" style=\"width: 0px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 9%;\"\u003e\n \u003cp\u003ethigh circ, cm\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e38.68\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e2.73\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e41.02\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e2.56\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e41.92\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e1.24\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e41.20\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e2.32\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e45.54\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e3.53\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e46.08\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e1.52\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e52.57\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e\u0026lt;0.01*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e2.98\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e0.110\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e6.26\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 5%;\"\u003e\n \u003cp\u003e\u0026lt;0.01*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e3.88\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 5%;\"\u003e\n \u003cp\u003e0.013*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd height=\"20\" style=\"width: 0px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 9%;\"\u003e\n \u003cp\u003ehumeral d, cm\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e5.61\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e0.36\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e5.66\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e0.31\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e5.62\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e0.24\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e6.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e0.34\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e6.29\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e0.27\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e6.56\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e0.11\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e175.44\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e\u0026lt;0.01*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e4.91\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e\u0026lt;0.01*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e9.03\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 5%;\"\u003e\n \u003cp\u003e\u0026lt;0.01*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e9.13\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 5%;\"\u003e\n \u003cp\u003e\u0026lt;0.001*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd height=\"20\" style=\"width: 0px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 9%;\"\u003e\n \u003cp\u003efemoral d, cm\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e8.35\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e0.35\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e8.63\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e0.33\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e8.62\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e0.36\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e8.51\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e0.29\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e9.19\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e0.49\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e9.32\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e0.22\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e47.89\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e\u0026lt;0.01*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e1.44\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e0.990\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e5.85\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 5%;\"\u003e\n \u003cp\u003e\u0026lt;0.01*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e4.90\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 5%;\"\u003e\n \u003cp\u003e\u0026lt;0.01*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd height=\"20\" style=\"width: 0px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 9%;\"\u003e\n \u003cp\u003etric SK, mm\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e8.19\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e1.51\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e8.50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e1.58\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e9.30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e1.99\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e8.81\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e1.56\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e7.68\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e2.09\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e6.50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e1.90\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e6.87\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e0.016*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e0.99\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e0.990\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e-1.53\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 5%;\"\u003e\n \u003cp\u003e0.980\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e-3.54\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 5%;\"\u003e\n \u003cp\u003e0.029*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd height=\"20\" style=\"width: 0px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 9%;\"\u003e\n \u003cp\u003ebic SK, mm\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e3.19\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e1.28\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e4.23\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e1.99\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e4.50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e1.32\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e4.56\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e1.18\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e4.45\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e1.27\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e3.30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e0.27\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e0.28\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e0.600\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e3.32\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e0.05*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e0.64\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 5%;\"\u003e\n \u003cp\u003e0.990\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e-2.29\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 5%;\"\u003e\n \u003cp\u003e0.488\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd height=\"20\" style=\"width: 0px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 9%;\"\u003e\n \u003cp\u003esubs SK, mm\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e4.31\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e0.70\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e5.18\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e1.62\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e5.10\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e0.74\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e5.19\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e0.53\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e6.14\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e0.98\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e5.90\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e0.74\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e9.72\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e\u0026lt;0.01*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e1.89\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e0.990\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e2.42\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 5%;\"\u003e\n \u003cp\u003e0.369\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e1.37\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 5%;\"\u003e\n \u003cp\u003e0.990\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd height=\"20\" style=\"width: 0px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 9%;\"\u003e\n \u003cp\u003espinal SK, mm\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e3.25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e1.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e5.05\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e2.40\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e5.10\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e0.82\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e4.31\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e0.96\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e5.36\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e1.16\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e5.10\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e0.65\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e1.87\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e0.186\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e1.92\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e0.990\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e0.68\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 5%;\"\u003e\n \u003cp\u003e0.999\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e0.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 5%;\"\u003e\n \u003cp\u003e0.999\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd height=\"20\" style=\"width: 0px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 9%;\"\u003e\n \u003cp\u003eiliac SK, mm\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e5.38\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e1.96\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e7.55\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e2.77\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e8.20\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e2.56\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e7.56\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e1.68\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e7.95\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e2.09\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e7.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e1.58\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e1.04\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e0.319\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e2.91\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e0.124\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e0.64\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 5%;\"\u003e\n \u003cp\u003e0.999\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e-1.26\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 5%;\"\u003e\n \u003cp\u003e0.990\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd height=\"20\" style=\"width: 0px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 9%;\"\u003e\n \u003cp\u003ethigh SK, mm\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e9.50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e1.77\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e10.68\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e2.55\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e10.80\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e2.20\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e10.69\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e1.67\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e9.50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e2.62\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e8.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e1.54\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e3.11\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e0.093\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e1.37\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e0.990\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e-1.59\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 5%;\"\u003e\n \u003cp\u003e0.990\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e-2.55\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 5%;\"\u003e\n \u003cp\u003e0.282\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd height=\"20\" style=\"width: 0px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 9%;\"\u003e\n \u003cp\u003em calf SK, mm\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e5.44\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e1.72\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e7.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e2.63\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e7.60\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e1.47\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e7.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e1.75\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e7.45\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e2.47\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e6.80\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e0.84\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e1.23\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e0.280\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e2.60\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e0.252\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e0.89\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 5%;\"\u003e\n \u003cp\u003e0.999\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e-1.05\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 5%;\"\u003e\n \u003cp\u003e0.999\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd height=\"20\" style=\"width: 0px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 9%;\"\u003e\n \u003cp\u003el calf SK, mm\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e6.19\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e1.13\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e7.50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e1.88\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e8.50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e2.06\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e7.69\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e1.58\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e8.41\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e2.63\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e6.90\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e1.43\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e0.50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e0.487\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e2.39\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e0.390\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e1.70\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 5%;\"\u003e\n \u003cp\u003e0.990\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e-2.02\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 5%;\"\u003e\n \u003cp\u003e0.851\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd height=\"20\" style=\"width: 0px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 9%;\"\u003e\n \u003cp\u003eTUA, cm2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e29.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e4.73\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e32.80\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e6.58\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e31.15\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e1.57\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e34.85\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e3.90\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e43.18\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e6.84\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e42.50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e2.72\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e108.16\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e\u0026lt;0.01*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e4.02\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e\u0026lt;0.01*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e8.38\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 5%;\"\u003e\n \u003cp\u003e\u0026lt;0.01*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e6.17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 5%;\"\u003e\n \u003cp\u003e\u0026lt;0.01*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd height=\"24\" style=\"width: 0px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 9%;\"\u003e\n \u003cp\u003eUMA, cm2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e21.70\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e3.56\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e24.74\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e5.36\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e22.64\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e1.60\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e26.28\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e3.85\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e34.73\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e6.22\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e35.39\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e4.22\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e93.55\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e\u0026lt;0.01*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e2.95\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e0.110\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e7.57\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 5%;\"\u003e\n \u003cp\u003e\u0026lt;0.01*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e6.51\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 5%;\"\u003e\n \u003cp\u003e\u0026lt;0.01*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd height=\"24\" style=\"width: 0px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 9%;\"\u003e\n \u003cp\u003eUFA, cm2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e7.31\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e1.69\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e8.06\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e1.95\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e8.51\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e1.80\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e8.57\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e1.45\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e8.45\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e2.42\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e7.11\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e1.77\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e0.05\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e0.819\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e2.11\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e0.709\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e0.77\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 5%;\"\u003e\n \u003cp\u003e0.999\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e-1.85\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 5%;\"\u003e\n \u003cp\u003e0.990\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd height=\"24\" style=\"width: 0px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 9%;\"\u003e\n \u003cp\u003eUFI, %\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e25.12\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e3.54\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e24.72\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e3.73\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e27.25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e5.27\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e24.77\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e4.27\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e19.68\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e5.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e16.94\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e5.16\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e26.32\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e\u0026lt;0.01*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e-0.21\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e0.999\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e-3.52\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 5%;\"\u003e\n \u003cp\u003e0.03*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e-4.85\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 5%;\"\u003e\n \u003cp\u003e\u0026lt;0.01*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd height=\"20\" style=\"width: 0px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 9%;\"\u003e\n \u003cp\u003eTCA, cm2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e62.68\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e9.09\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e71.14\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e8.11\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e70.90\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e9.29\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e72.89\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e9.13\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e89.55\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e10.66\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e89.64\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e2.22\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e105.32\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e\u0026lt;0.01*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e4.04\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e\u0026lt;0.01*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e8.54\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 5%;\"\u003e\n \u003cp\u003e\u0026lt;0.01*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e5.85\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 5%;\"\u003e\n \u003cp\u003e\u0026lt;0.01*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd height=\"24\" style=\"width: 0px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 9%;\"\u003e\n \u003cp\u003eCMA, cm2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e46.43\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e7.13\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e51.28\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e8.02\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e50.99\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e6.29\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e54.26\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e6.72\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e66.34\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e10.25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e65.83\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e3.61\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e88.89\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e\u0026lt;0.01*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e3.57\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e\u0026lt;0.05*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e8.05\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 5%;\"\u003e\n \u003cp\u003e\u0026lt;0.01*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e5.35\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 5%;\"\u003e\n \u003cp\u003e\u0026lt;0.01*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd height=\"24\" style=\"width: 0px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 9%;\"\u003e\n \u003cp\u003eCFA, cm2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e16.25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e4.46\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e19.86\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e6.21\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e19.91\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e3.76\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e18.63\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e4.16\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e23.21\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e6.19\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e23.81\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e4.05\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e108.53\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e\u0026lt;0.01*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e4.69\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e\u0026lt;0.01*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e7.77\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 5%;\"\u003e\n \u003cp\u003e\u0026lt;0.01*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e6.08\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 5%;\"\u003e\n \u003cp\u003e\u0026lt;0.01*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd height=\"24\" style=\"width: 0px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 9%;\"\u003e\n \u003cp\u003eCFI, %\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e25.81\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e5.25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e27.89\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e7.93\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e27.98\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e3.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e25.44\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e3.81\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e26.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e6.22\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e26.53\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e4.35\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e7.88\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e0.01*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e-0.51\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e0.999\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e-3.05\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 5%;\"\u003e\n \u003cp\u003e0.092\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e-1.60\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 5%;\"\u003e\n \u003cp\u003e0.999\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd height=\"20\" style=\"width: 0px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 9%;\"\u003e\n \u003cp\u003eTTA, cm2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e119.55\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e16.81\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e134.36\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e16.76\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e139.94\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e8.37\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e135.45\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e15.53\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e165.91\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e25.87\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e169.12\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e11.30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e47.22\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e\u0026lt;0.01*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e2.60\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e0.250\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e6.05\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 5%;\"\u003e\n \u003cp\u003e\u0026lt;0.01*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e3.77\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 5%;\"\u003e\n \u003cp\u003e0.017*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd height=\"24\" style=\"width: 0px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 9%;\"\u003e\n \u003cp\u003eTMA, cm2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e101.79\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e14.19\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e113.22\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e13.02\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e118.19\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e6.52\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e114.38\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e15.17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e144.94\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e23.85\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e151.27\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e13.25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e61.75\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e\u0026lt;0.01*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e2.33\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e0.446\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e6.89\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 5%;\"\u003e\n \u003cp\u003e\u0026lt;0.01*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e4.84\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 5%;\"\u003e\n \u003cp\u003e\u0026lt;0.01*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd height=\"24\" style=\"width: 0px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 9%;\"\u003e\n \u003cp\u003eTFA, cm2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e17.76\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e3.89\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e21.14\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e5.79\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e21.75\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e4.64\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e21.07\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e3.13\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e20.97\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e6.37\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e17.85\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e2.97\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e0.05\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e0.825\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e1.79\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e0.999\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e-0.11\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 5%;\"\u003e\n \u003cp\u003e0.999\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e-1.67\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 5%;\"\u003e\n \u003cp\u003e0.990\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd height=\"24\" style=\"width: 0px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 9%;\"\u003e\n \u003cp\u003eTFI, %\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e14.79\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e2.28\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e15.60\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e3.16\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e15.49\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e2.86\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e15.67\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e2.62\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e12.66\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e3.07\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e10.64\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e2.22\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e11.02\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e\u0026lt;0.01*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e0.78\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e0.999\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e-3.03\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 5%;\"\u003e\n \u003cp\u003e0.096\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e-3.36\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 5%;\"\u003e\n \u003cp\u003e0.044*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd height=\"20\" style=\"width: 0px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 9%;\"\u003e\n \u003cp\u003eBF, %\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e12.15\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e2.07\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e13.31\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e2.46\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e14.02\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e2.67\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e13.65\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e1.85\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e12.45\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e3.20\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e8.66\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e2.90\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e7.44\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e0.013*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e1.59\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e0.990\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e-1.06\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 5%;\"\u003e\n \u003cp\u003e0.990\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e-4.47\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 5%;\"\u003e\n \u003cp\u003e\u0026lt;0.01*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd height=\"20\" style=\"width: 0px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 9%;\"\u003e\n \u003cp\u003eFM, kg\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e3.97\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e1.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e5.05\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e1.33\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e5.36\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e1.02\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e5.69\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e0.94\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e6.51\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e1.70\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e5.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e1.49\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e13.61\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e\u0026lt;0.01*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e4.10\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e\u0026lt;0.01*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e4.11\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 5%;\"\u003e\n \u003cp\u003e\u0026lt;0.01*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e-0.69\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 5%;\"\u003e\n \u003cp\u003e0.990\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd height=\"20\" style=\"width: 0px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 9%;\"\u003e\n \u003cp\u003eFFM, kg\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e28.42\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e3.56\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e32.50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e4.33\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e32.92\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e1.42\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e36.06\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e3.96\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e46.44\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e8.60\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e53.42\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e4.94\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e150.55\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e\u0026lt;0.01*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e4.07\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e\u0026lt;0.01*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e8.69\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 5%;\"\u003e\n \u003cp\u003e\u0026lt;0.01*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e8.62\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 5%;\"\u003e\n \u003cp\u003e\u0026lt;0.01*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd height=\"20\" style=\"width: 0px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 9%;\"\u003e\n \u003cp\u003eendomorphy\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e3.74\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e0.58\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e4.28\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e0.79\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e4.50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e0.72\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e4.33\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e0.53\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e4.39\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e0.67\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e4.07\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e0.49\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e0.56\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e0.461\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e2.90\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e0.128\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e0.67\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 5%;\"\u003e\n \u003cp\u003e0.990\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e-1.67\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 5%;\"\u003e\n \u003cp\u003e0.990\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd height=\"20\" style=\"width: 0px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 9%;\"\u003e\n \u003cp\u003emesomorphy\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e4.31\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e0.65\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e3.91\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e0.71\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e3.58\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e0.67\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e3.85\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e0.63\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e3.60\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e0.92\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e2.87\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e1.28\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e9.21\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e\u0026lt;0.01*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e-1.72\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e0.990\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e-1.33\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 5%;\"\u003e\n \u003cp\u003e0.990\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e-2.12\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 5%;\"\u003e\n \u003cp\u003e0.690\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd height=\"20\" style=\"width: 0px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 9%;\"\u003e\n \u003cp\u003eectomorphy\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e3.24\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e0.86\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e3.61\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e0.97\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e3.65\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e0.42\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e3.21\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e0.92\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e3.62\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e0.82\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e4.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e1.99\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e0.32\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e0.578\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e-0.09\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e0.990\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e0.02\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 5%;\"\u003e\n \u003cp\u003e0.999\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e0.87\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 5%;\"\u003e\n \u003cp\u003e0.990\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd height=\"20\" style=\"width: 0px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 9%;\"\u003e\n \u003cp\u003eR, Ω\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e616.73\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e73.08\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e622.40\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e55.72\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e642.80\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e38.46\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e590.35\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e80.15\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e534.07\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e49.91\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e532.92\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e22.19\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e54.44\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e\u0026lt;0.01*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e-1.58\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e0.990\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e-6.21\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 5%;\"\u003e\n \u003cp\u003e\u0026lt;0.01*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e-5.21\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 5%;\"\u003e\n \u003cp\u003e\u0026lt;0.01*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd height=\"20\" style=\"width: 0px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 9%;\"\u003e\n \u003cp\u003eXc, Ω\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e64.69\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e3.26\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e67.66\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e7.56\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e68.28\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e3.09\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e68.25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e5.96\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e58.71\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e6.61\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e63.42\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e4.38\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e9.28\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e\u0026lt;0.01*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e1.93\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e0.990\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e-5.69\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 5%;\"\u003e\n \u003cp\u003e\u0026lt;0.01*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e-2.08\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 5%;\"\u003e\n \u003cp\u003e0.746\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd height=\"20\" style=\"width: 0px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 9%;\"\u003e\n \u003cp\u003ePhA, \u0026deg;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e6.07\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e0.59\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e6.25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e0.62\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e6.10\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e0.31\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e6.69\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e1.03\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e6.25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e0.56\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e6.82\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e0.66\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e11.04\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e\u0026lt;0.01*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e2.80\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e0.160\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e-0.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 5%;\"\u003e\n \u003cp\u003e0.999\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e2.58\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 5%;\"\u003e\n \u003cp\u003e0.260\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd height=\"20\" style=\"width: 0px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 9%;\"\u003e\n \u003cp\u003eCMJ, cm\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e25.08\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e4.59\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e26.65\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e3.50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e27.50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e3.93\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e29.09\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e3.68\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e32.88\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e3.39\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e37.46\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e6.74\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e102.20\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e\u0026lt;0.01*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e3.66\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e\u0026lt;0.01*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e6.67\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 5%;\"\u003e\n \u003cp\u003e\u0026lt;0.01*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e7.19\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 5%;\"\u003e\n \u003cp\u003e\u0026lt;0.01*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd height=\"20\" style=\"width: 0px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 9%;\"\u003e\n \u003cp\u003esprint, s\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e3.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e0.12\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e2.72\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e0.11\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e2.64\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e0.06\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e2.88\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e0.07\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e2.51\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e0.06\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e2.36\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e0.09\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e70.78\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e\u0026lt;0.01*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e-3.15\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e0.073\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e-6.10\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 5%;\"\u003e\n \u003cp\u003e\u0026lt;0.01*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e-5.53\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 5%;\"\u003e\n \u003cp\u003e\u0026lt;0.01*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd height=\"20\" style=\"width: 0px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 9%;\"\u003e\n \u003cp\u003eRSA, s\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e6.66\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e0.18\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e6.25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e0.24\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e6.07\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e0.24\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e6.63\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e0.08\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e5.81\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e0.13\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e5.57\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4%;\"\u003e\n \u003cp\u003e0.19\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e37.86\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e\u0026lt;0.01*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e-0.34\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e0.999\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e-5.96\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 5%;\"\u003e\n \u003cp\u003e\u0026lt;0.01*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4%;\"\u003e\n \u003cp\u003e-4.58\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 5%;\"\u003e\n \u003cp\u003e\u0026lt;0.01*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd height=\"20\" style=\"width: 0px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"21\" rowspan=\"3\" style=\"width: 98%;\"\u003e\n \u003cp\u003eNote: n, sample size; rm, repeated measures; sd, standard deviation; F, Snedecor-Fisher test value; G-G, Greenhouse-Geisser epsilon; t, student test value; p, probability value; BMI, body mass index; PHV, peak height velocity; APHV, age at peak height velocity; circ, circumference; d, diameter; tric, triceps; bic, biceps; subs, subscapular; spinal; supraspinal; iliac, supra-iliac; m, medial; l, lateral; SK, skinfold thickness; R, resistance; Xc, reactance; PhA, phase angle; CMJ, countermovement jump; RSA, repeated sprint ability; *, statistically significant.\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd height=\"30\" style=\"width: 0px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd height=\"29\" style=\"width: 0px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd height=\"29\" style=\"width: 0px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u003cbr\u003e\u003c/p\u003e\n\u003ctable border=\"0\" cellspacing=\"0\" cellpadding=\"0\" width=\"379\" style=\"margin-right: calc(30%); width: 70%;\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"5\" valign=\"bottom\" style=\"width: 51.2429%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eTable 2\u003c/strong\u003e. Pearson product moment\u0026rsquo;s correlation matrix of physical performance and body composition variations\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 6.3707%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd style=\"width: 6.2322%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.772%;\"\u003e\n \u003cp\u003e∆ RSA (s)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.7415%;\"\u003e\n \u003cp\u003e∆ sprint (s)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13.9879%;\"\u003e\n \u003cp\u003e∆ CMJ (cm)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"2\" style=\"width: 12.603%;\"\u003e\n \u003cp\u003e∆ RSA\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.772%;\"\u003e\n \u003cp\u003e1.000\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.7415%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13.9879%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"2\" style=\"width: 12.603%;\"\u003e\n \u003cp\u003e∆ sprint\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.772%;\"\u003e\n \u003cp\u003e0.648\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.7415%;\"\u003e\n \u003cp\u003e1.000\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13.9879%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"2\" style=\"width: 12.603%;\"\u003e\n \u003cp\u003e∆ CMJ\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.772%;\"\u003e\n \u003cp\u003e-0.509\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.7415%;\"\u003e\n \u003cp\u003e-0.676\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13.9879%;\"\u003e\n \u003cp\u003e1.000\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"2\" style=\"width: 12.603%;\"\u003e\n \u003cp\u003e∆ body mass\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.772%;\"\u003e\n \u003cp\u003e-0.516\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.7415%;\"\u003e\n \u003cp\u003e-0.373\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13.9879%;\"\u003e\n \u003cp\u003e0.546\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"2\" style=\"width: 12.603%;\"\u003e\n \u003cp\u003e∆ stature\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.772%;\"\u003e\n \u003cp\u003e-0.374\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.7415%;\"\u003e\n \u003cp\u003e-0.394\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13.9879%;\"\u003e\n \u003cp\u003e0.591\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"2\" style=\"width: 12.603%;\"\u003e\n \u003cp\u003e∆ low limb\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.772%;\"\u003e\n \u003cp\u003e0.061\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.7415%;\"\u003e\n \u003cp\u003e-0.157\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13.9879%;\"\u003e\n \u003cp\u003e0.320\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"2\" style=\"width: 12.603%;\"\u003e\n \u003cp\u003e∆ trunk heigth\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.772%;\"\u003e\n \u003cp\u003e-0.552\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.7415%;\"\u003e\n \u003cp\u003e-0.423\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13.9879%;\"\u003e\n \u003cp\u003e0.574\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"2\" style=\"width: 12.603%;\"\u003e\n \u003cp\u003e∆ BMI\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.772%;\"\u003e\n \u003cp\u003e-0.479\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.7415%;\"\u003e\n \u003cp\u003e-0.292\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13.9879%;\"\u003e\n \u003cp\u003e0.289\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"2\" style=\"width: 12.603%;\"\u003e\n \u003cp\u003e∆ APHV\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.772%;\"\u003e\n \u003cp\u003e0.530\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.7415%;\"\u003e\n \u003cp\u003e0.400\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13.9879%;\"\u003e\n \u003cp\u003e-0.597\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"2\" style=\"width: 12.603%;\"\u003e\n \u003cp\u003e∆ waist c\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.772%;\"\u003e\n \u003cp\u003e-0.172\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.7415%;\"\u003e\n \u003cp\u003e-0.022\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13.9879%;\"\u003e\n \u003cp\u003e0.257\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"2\" style=\"width: 12.603%;\"\u003e\n \u003cp\u003e∆ hip c\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.772%;\"\u003e\n \u003cp\u003e-0.413\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.7415%;\"\u003e\n \u003cp\u003e-0.221\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13.9879%;\"\u003e\n \u003cp\u003e0.391\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"2\" style=\"width: 12.603%;\"\u003e\n \u003cp\u003e∆ arm rel c\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.772%;\"\u003e\n \u003cp\u003e-0.277\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.7415%;\"\u003e\n \u003cp\u003e-0.177\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13.9879%;\"\u003e\n \u003cp\u003e0.441\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"2\" style=\"width: 12.603%;\"\u003e\n \u003cp\u003e∆ arm con c\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.772%;\"\u003e\n \u003cp\u003e-0.271\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.7415%;\"\u003e\n \u003cp\u003e-0.094\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13.9879%;\"\u003e\n \u003cp\u003e0.377\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"2\" style=\"width: 12.603%;\"\u003e\n \u003cp\u003e∆ calf c\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.772%;\"\u003e\n \u003cp\u003e-0.319\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.7415%;\"\u003e\n \u003cp\u003e-0.311\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13.9879%;\"\u003e\n \u003cp\u003e0.292\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"2\" style=\"width: 12.603%;\"\u003e\n \u003cp\u003e∆ thigh c\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.772%;\"\u003e\n \u003cp\u003e-0.209\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.7415%;\"\u003e\n \u003cp\u003e-0.128\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13.9879%;\"\u003e\n \u003cp\u003e0.242\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"2\" style=\"width: 12.603%;\"\u003e\n \u003cp\u003e∆ humeral d\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.772%;\"\u003e\n \u003cp\u003e-0.432\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.7415%;\"\u003e\n \u003cp\u003e-0.324\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13.9879%;\"\u003e\n \u003cp\u003e0.672\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"2\" style=\"width: 12.603%;\"\u003e\n \u003cp\u003e∆ femoral d\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.772%;\"\u003e\n \u003cp\u003e-0.459\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.7415%;\"\u003e\n \u003cp\u003e-0.277\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13.9879%;\"\u003e\n \u003cp\u003e0.288\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"2\" style=\"width: 12.603%;\"\u003e\n \u003cp\u003e∆ tric SK\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.772%;\"\u003e\n \u003cp\u003e0.429\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.7415%;\"\u003e\n \u003cp\u003e0.593\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13.9879%;\"\u003e\n \u003cp\u003e-0.604\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"2\" style=\"width: 12.603%;\"\u003e\n \u003cp\u003e∆ bic SK\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.772%;\"\u003e\n \u003cp\u003e0.534\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.7415%;\"\u003e\n \u003cp\u003e0.431\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13.9879%;\"\u003e\n \u003cp\u003e-0.422\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"2\" style=\"width: 12.603%;\"\u003e\n \u003cp\u003e∆ subs SK\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.772%;\"\u003e\n \u003cp\u003e0.199\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.7415%;\"\u003e\n \u003cp\u003e0.194\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13.9879%;\"\u003e\n \u003cp\u003e0.156\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"2\" style=\"width: 12.603%;\"\u003e\n \u003cp\u003e∆ spinal SK\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.772%;\"\u003e\n \u003cp\u003e0.589\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.7415%;\"\u003e\n \u003cp\u003e0.535\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13.9879%;\"\u003e\n \u003cp\u003e-0.615\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"2\" style=\"width: 12.603%;\"\u003e\n \u003cp\u003e∆ iliac SK\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.772%;\"\u003e\n \u003cp\u003e0.579\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.7415%;\"\u003e\n \u003cp\u003e0.557\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13.9879%;\"\u003e\n \u003cp\u003e-0.518\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"2\" style=\"width: 12.603%;\"\u003e\n \u003cp\u003e∆ thigh SK\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.772%;\"\u003e\n \u003cp\u003e0.470\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.7415%;\"\u003e\n \u003cp\u003e0.448\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13.9879%;\"\u003e\n \u003cp\u003e-0.255\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"2\" style=\"width: 12.603%;\"\u003e\n \u003cp\u003e∆ m calf SK\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.772%;\"\u003e\n \u003cp\u003e0.461\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.7415%;\"\u003e\n \u003cp\u003e0.580\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13.9879%;\"\u003e\n \u003cp\u003e-0.533\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"2\" style=\"width: 12.603%;\"\u003e\n \u003cp\u003e∆ l calf SK\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.772%;\"\u003e\n \u003cp\u003e0.358\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.7415%;\"\u003e\n \u003cp\u003e0.439\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13.9879%;\"\u003e\n \u003cp\u003e-0.466\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"2\" style=\"width: 12.603%;\"\u003e\n \u003cp\u003e∆ TUA\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.772%;\"\u003e\n \u003cp\u003e-0.342\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.7415%;\"\u003e\n \u003cp\u003e-0.218\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13.9879%;\"\u003e\n \u003cp\u003e0.453\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"2\" style=\"width: 12.603%;\"\u003e\n \u003cp\u003e∆ UMA\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.772%;\"\u003e\n \u003cp\u003e-0.438\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.7415%;\"\u003e\n \u003cp\u003e-0.398\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13.9879%;\"\u003e\n \u003cp\u003e0.590\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"2\" style=\"width: 12.603%;\"\u003e\n \u003cp\u003e∆ UFA\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.772%;\"\u003e\n \u003cp\u003e0.393\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.7415%;\"\u003e\n \u003cp\u003e0.580\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13.9879%;\"\u003e\n \u003cp\u003e-0.546\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"2\" style=\"width: 12.603%;\"\u003e\n \u003cp\u003e∆ UFI\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.772%;\"\u003e\n \u003cp\u003e0.416\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.7415%;\"\u003e\n \u003cp\u003e0.572\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13.9879%;\"\u003e\n \u003cp\u003e-0.625\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"2\" style=\"width: 12.603%;\"\u003e\n \u003cp\u003e∆ TCA\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.772%;\"\u003e\n \u003cp\u003e-0.327\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.7415%;\"\u003e\n \u003cp\u003e-0.305\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13.9879%;\"\u003e\n \u003cp\u003e0.276\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"2\" style=\"width: 12.603%;\"\u003e\n \u003cp\u003e∆ CMA\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.772%;\"\u003e\n \u003cp\u003e-0.375\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.7415%;\"\u003e\n \u003cp\u003e-0.355\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13.9879%;\"\u003e\n \u003cp\u003e0.317\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"2\" style=\"width: 12.603%;\"\u003e\n \u003cp\u003e\u0026nbsp;∆ CFA\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.772%;\"\u003e\n \u003cp\u003e-0.011\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.7415%;\"\u003e\n \u003cp\u003e0.010\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13.9879%;\"\u003e\n \u003cp\u003e0.009\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"2\" style=\"width: 12.603%;\"\u003e\n \u003cp\u003e\u0026nbsp;∆ CFI\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.772%;\"\u003e\n \u003cp\u003e0.579\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.7415%;\"\u003e\n \u003cp\u003e0.551\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13.9879%;\"\u003e\n \u003cp\u003e-0.472\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"2\" style=\"width: 12.603%;\"\u003e\n \u003cp\u003e\u0026nbsp;∆ TTA\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.772%;\"\u003e\n \u003cp\u003e-0.224\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.7415%;\"\u003e\n \u003cp\u003e-0.123\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13.9879%;\"\u003e\n \u003cp\u003e0.237\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"2\" style=\"width: 12.603%;\"\u003e\n \u003cp\u003e∆ TMA\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.772%;\"\u003e\n \u003cp\u003e-0.371\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.7415%;\"\u003e\n \u003cp\u003e-0.259\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13.9879%;\"\u003e\n \u003cp\u003e0.323\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"2\" style=\"width: 12.603%;\"\u003e\n \u003cp\u003e\u0026nbsp;∆ TFA\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.772%;\"\u003e\n \u003cp\u003e0.425\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.7415%;\"\u003e\n \u003cp\u003e0.402\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13.9879%;\"\u003e\n \u003cp\u003e-0.235\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"2\" style=\"width: 12.603%;\"\u003e\n \u003cp\u003e\u0026nbsp;∆ TFI\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.772%;\"\u003e\n \u003cp\u003e0.492\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.7415%;\"\u003e\n \u003cp\u003e0.483\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13.9879%;\"\u003e\n \u003cp\u003e-0.269\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"2\" style=\"width: 12.603%;\"\u003e\n \u003cp\u003e\u0026nbsp;∆ BF\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.772%;\"\u003e\n \u003cp\u003e0.511\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.7415%;\"\u003e\n \u003cp\u003e0.582\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13.9879%;\"\u003e\n \u003cp\u003e-0.535\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"2\" style=\"width: 12.603%;\"\u003e\n \u003cp\u003e\u0026nbsp;∆ FM\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.772%;\"\u003e\n \u003cp\u003e0.321\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.7415%;\"\u003e\n \u003cp\u003e0.497\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13.9879%;\"\u003e\n \u003cp\u003e-0.410\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"2\" style=\"width: 12.603%;\"\u003e\n \u003cp\u003e∆ FFM\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.772%;\"\u003e\n \u003cp\u003e-0.583\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.7415%;\"\u003e\n \u003cp\u003e-0.472\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13.9879%;\"\u003e\n \u003cp\u003e0.596\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"2\" style=\"width: 12.603%;\"\u003e\n \u003cp\u003e∆ endo\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.772%;\"\u003e\n \u003cp\u003e0.548\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.7415%;\"\u003e\n \u003cp\u003e0.643\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13.9879%;\"\u003e\n \u003cp\u003e-0.520\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"2\" style=\"width: 12.603%;\"\u003e\n \u003cp\u003e∆ meso\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.772%;\"\u003e\n \u003cp\u003e-0.048\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.7415%;\"\u003e\n \u003cp\u003e0.106\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13.9879%;\"\u003e\n \u003cp\u003e-0.133\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"2\" style=\"width: 12.603%;\"\u003e\n \u003cp\u003e∆ ecto\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.772%;\"\u003e\n \u003cp\u003e0.189\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.7415%;\"\u003e\n \u003cp\u003e0.004\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13.9879%;\"\u003e\n \u003cp\u003e0.030\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"2\" style=\"width: 12.603%;\"\u003e\n \u003cp\u003e∆ R\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.772%;\"\u003e\n \u003cp\u003e0.666\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.7415%;\"\u003e\n \u003cp\u003e0.488\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13.9879%;\"\u003e\n \u003cp\u003e-0.469\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"2\" style=\"width: 12.603%;\"\u003e\n \u003cp\u003e∆ Xc\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.772%;\"\u003e\n \u003cp\u003e0.443\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.7415%;\"\u003e\n \u003cp\u003e0.197\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13.9879%;\"\u003e\n \u003cp\u003e-0.306\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"2\" style=\"width: 12.603%;\"\u003e\n \u003cp\u003e∆ PhA\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11.772%;\"\u003e\n \u003cp\u003e-0.078\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 12.7415%;\"\u003e\n \u003cp\u003e-0.223\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 13.9879%;\"\u003e\n \u003cp\u003e0.095\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"5\" valign=\"top\" style=\"width: 51.2429%;\"\u003e\n \u003cp\u003eNote: BMI, body mass index; PHV, peak height velocity; APHV, age at peak height velocity; circ, circumference; d, diameter; tric, triceps; bic, biceps; subs, subscapular; spinal; supraspinal; iliac, supra iliac; m, medial; l, lateral; SK, skinfold thickness; endo, endomorphic; meso, mesomorphic; ecto, ectomorphic; R, resistance; Xc, reactance; PhA, phase angle; CMJ, countermovement jump; RSA, repeated sprint ability.\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u003c/p\u003e\n\u003ctable border=\"0\" cellspacing=\"0\" cellpadding=\"0\" width=\"501\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"7\" style=\"width: 30.5831%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eTable 3\u003c/strong\u003e. Multiple regression model for CMJ\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 5.7692%;\"\u003e\n \u003cp\u003en\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4.5906%;\"\u003e\n \u003cp\u003eF \u003csub\u003e(2, 20)\u003c/sub\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 3.9082%;\"\u003e\n \u003cp\u003ep\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 3.9082%;\"\u003e\n \u003cp\u003eR\u003csup\u003e2\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 3.4119%;\"\u003e\n \u003cp\u003eadj-R\u003csup\u003e2\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 5.397%;\"\u003e\n \u003cp\u003eRoot MSE\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 3.66%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 5.7692%;\"\u003e\n \u003cp\u003e23\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4.5906%;\"\u003e\n \u003cp\u003e19.04\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 3.9082%;\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 3.9082%;\"\u003e\n \u003cp\u003e0.656\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 3.4119%;\"\u003e\n \u003cp\u003e0.621\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 5.397%;\"\u003e\n \u003cp\u003e2.106\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 3.66%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 5.7692%;\"\u003e\n \u003cp\u003eSource\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4.5906%;\"\u003e\n \u003cp\u003eSS\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 3.9082%;\"\u003e\n \u003cp\u003edf\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 3.9082%;\"\u003e\n \u003cp\u003eMS\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 3.4119%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd style=\"width: 5.397%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd style=\"width: 3.66%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 5.7692%;\"\u003e\n \u003cp\u003eModel\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4.5906%;\"\u003e\n \u003cp\u003e168.884\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 3.9082%;\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 3.9082%;\"\u003e\n \u003cp\u003e84.442\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 3.4119%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd style=\"width: 5.397%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd style=\"width: 3.66%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 5.7692%;\"\u003e\n \u003cp\u003eResidual\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4.5906%;\"\u003e\n \u003cp\u003e88.710\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 3.9082%;\"\u003e\n \u003cp\u003e20\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 3.9082%;\"\u003e\n \u003cp\u003e4.436\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 3.4119%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd style=\"width: 5.397%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd style=\"width: 3.66%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 5.7692%;\"\u003e\n \u003cp\u003eTotal\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4.5906%;\"\u003e\n \u003cp\u003e257.595\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 3.9082%;\"\u003e\n \u003cp\u003e22\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 3.9082%;\"\u003e\n \u003cp\u003e11.709\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 3.4119%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd style=\"width: 5.397%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd style=\"width: 3.66%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 5.7692%;\"\u003e\n \u003cp\u003eCMJ\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4.5906%;\"\u003e\n \u003cp\u003e\u0026beta;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 3.9082%;\"\u003e\n \u003cp\u003eSE\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 3.9082%;\"\u003e\n \u003cp\u003et\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 3.4119%;\"\u003e\n \u003cp\u003ep\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" style=\"width: 9.0571%;\"\u003e\n \u003cp\u003e95% CI\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 5.7692%;\"\u003e\n \u003cp\u003ehumeral d\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4.5906%;\"\u003e\n \u003cp\u003e6.353\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 3.9082%;\"\u003e\n \u003cp\u003e1.597\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 3.9082%;\"\u003e\n \u003cp\u003e3.98\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 3.4119%;\"\u003e\n \u003cp\u003e0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 5.397%;\"\u003e\n \u003cp\u003e3.022\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 3.66%;\"\u003e\n \u003cp\u003e9.684\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 5.7692%;\"\u003e\n \u003cp\u003espinal SK\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4.5906%;\"\u003e\n \u003cp\u003e-0.901\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 3.9082%;\"\u003e\n \u003cp\u003e0.307\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 3.9082%;\"\u003e\n \u003cp\u003e-2.94\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 3.4119%;\"\u003e\n \u003cp\u003e0.008\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 5.397%;\"\u003e\n \u003cp\u003e-1.541\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 3.66%;\"\u003e\n \u003cp\u003e-0.262\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 5.7692%;\"\u003e\n \u003cp\u003eintercept\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4.5906%;\"\u003e\n \u003cp\u003e2.556\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 3.9082%;\"\u003e\n \u003cp\u003e1.139\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 3.9082%;\"\u003e\n \u003cp\u003e2.24\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 3.4119%;\"\u003e\n \u003cp\u003e0.036\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 5.397%;\"\u003e\n \u003cp\u003e0.179\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 3.66%;\"\u003e\n \u003cp\u003e4.933\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"7\" valign=\"top\" style=\"width: 30.5831%;\"\u003e\n \u003cp\u003eNote: n, sample size; F, Snedecor-Fisher test value; p, probability value; R\u003csup\u003e2\u003c/sup\u003e, goodness of fit; adj, adjusted; MSE, mean squared error; SS, sum of squares; df, degree of freedom; MS, mean squared; CMJ, countermovement jump; \u0026beta;, regression coefficient; SE, standard error; t, student test value; CI, confidence interval; d, diameter; spinal; supraspinal; SK, skinfold thickness.\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u003cbr\u003e\u003c/p\u003e\n\u003ctable border=\"0\" cellspacing=\"0\" cellpadding=\"0\" width=\"491\" style=\"margin-right: calc(9%); width: 91%;\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"7\" style=\"width: 33.0988%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eTable 4\u003c/strong\u003e. Multiple regression model for 15-meter sprint\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 6.0304%;\"\u003e\n \u003cp\u003en\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4.2487%;\"\u003e\n \u003cp\u003eF \u003csub\u003e(2, 21)\u003c/sub\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4.5228%;\"\u003e\n \u003cp\u003ep\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 3.769%;\"\u003e\n \u003cp\u003eR\u003csup\u003e2\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 3.9746%;\"\u003e\n \u003cp\u003eadj-R\u003csup\u003e2\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 6.3045%;\"\u003e\n \u003cp\u003eRoot MSE\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4.2487%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 6.0304%;\"\u003e\n \u003cp\u003e24\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4.2487%;\"\u003e\n \u003cp\u003e12.52\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4.5228%;\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 3.769%;\"\u003e\n \u003cp\u003e0.544\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 3.9746%;\"\u003e\n \u003cp\u003e0.501\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 6.3045%;\"\u003e\n \u003cp\u003e0.089\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4.2487%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 6.0304%;\"\u003e\n \u003cp\u003eSource\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4.2487%;\"\u003e\n \u003cp\u003eSS\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4.5228%;\"\u003e\n \u003cp\u003edf\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 3.769%;\"\u003e\n \u003cp\u003eMS\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 3.9746%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd style=\"width: 6.3045%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd style=\"width: 4.2487%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 6.0304%;\"\u003e\n \u003cp\u003eModel\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4.2487%;\"\u003e\n \u003cp\u003e0.199\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4.5228%;\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 3.769%;\"\u003e\n \u003cp\u003e0.099\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 3.9746%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd style=\"width: 6.3045%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd style=\"width: 4.2487%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 6.0304%;\"\u003e\n \u003cp\u003eResidual\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4.2487%;\"\u003e\n \u003cp\u003e0.167\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4.5228%;\"\u003e\n \u003cp\u003e21\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 3.769%;\"\u003e\n \u003cp\u003e0.008\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 3.9746%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd style=\"width: 6.3045%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd style=\"width: 4.2487%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 6.0304%;\"\u003e\n \u003cp\u003eTotal\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4.2487%;\"\u003e\n \u003cp\u003e0.367\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4.5228%;\"\u003e\n \u003cp\u003e23\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 3.769%;\"\u003e\n \u003cp\u003e0.016\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 3.9746%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd style=\"width: 6.3045%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd style=\"width: 4.2487%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 6.0304%;\"\u003e\n \u003cp\u003esprint\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4.2487%;\"\u003e\n \u003cp\u003e\u0026beta;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4.5228%;\"\u003e\n \u003cp\u003eSE\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 3.769%;\"\u003e\n \u003cp\u003et\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 3.9746%;\"\u003e\n \u003cp\u003ep\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" style=\"width: 10.5532%;\"\u003e\n \u003cp\u003e95% CI\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 6.0304%;\"\u003e\n \u003cp\u003eCFI\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4.2487%;\"\u003e\n \u003cp\u003e0.028\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4.5228%;\"\u003e\n \u003cp\u003e0.009\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 3.769%;\"\u003e\n \u003cp\u003e3.10\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 3.9746%;\"\u003e\n \u003cp\u003e0.005\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 6.3045%;\"\u003e\n \u003cp\u003e0.009\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4.2487%;\"\u003e\n \u003cp\u003e0.047\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 6.0304%;\"\u003e\n \u003cp\u003em calf SK\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4.2487%;\"\u003e\n \u003cp\u003e0.034\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4.5228%;\"\u003e\n \u003cp\u003e0.010\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 3.769%;\"\u003e\n \u003cp\u003e3.33\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 3.9746%;\"\u003e\n \u003cp\u003e0.003\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 6.3045%;\"\u003e\n \u003cp\u003e0.013\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4.2487%;\"\u003e\n \u003cp\u003e0.055\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 6.0304%;\"\u003e\n \u003cp\u003eintercept\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4.2487%;\"\u003e\n \u003cp\u003e-0.185\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4.5228%;\"\u003e\n \u003cp\u003e0.023\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 3.769%;\"\u003e\n \u003cp\u003e-8.04\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 3.9746%;\"\u003e\n \u003cp\u003e0.000\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 6.3045%;\"\u003e\n \u003cp\u003e-0.232\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4.2487%;\"\u003e\n \u003cp\u003e-0.137\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"7\" valign=\"top\" style=\"width: 33.0988%;\"\u003e\n \u003cp\u003eNote: n, sample size; F, Snedecor-Fisher test value; p, probability value; R\u003csup\u003e2\u003c/sup\u003e, goodness of fit; adj, adjusted; MSE, mean squared error; SS, sum of squares; df, degree of freedom; MS, mean squared; \u0026nbsp;\u0026beta;, regression coefficient; SE, standard error; t, student test value; CI, confidence interval; CFI, calf fat index; m, medial; \u0026nbsp;SK, skinfold thickness.\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u003cbr\u003e\u003c/p\u003e\n\u003ctable border=\"0\" cellspacing=\"0\" cellpadding=\"0\" width=\"454\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"7\" style=\"width: 33.1029%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eTable 5\u003c/strong\u003e. Multiple regression model for RSA\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 6.0726%;\"\u003e\n \u003cp\u003en\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4.2952%;\"\u003e\n \u003cp\u003eF \u003csub\u003e(2, 20)\u003c/sub\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4.5915%;\"\u003e\n \u003cp\u003ep\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 3.8509%;\"\u003e\n \u003cp\u003eR\u003csup\u003e2\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4.0731%;\"\u003e\n \u003cp\u003eadj-R\u003csup\u003e2\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 6.3688%;\"\u003e\n \u003cp\u003eRoot MSE\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 3.8509%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 6.0726%;\"\u003e\n \u003cp\u003e23\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4.2952%;\"\u003e\n \u003cp\u003e20.39\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4.5915%;\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 3.8509%;\"\u003e\n \u003cp\u003e0.671\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4.0731%;\"\u003e\n \u003cp\u003e0.638\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 6.3688%;\"\u003e\n \u003cp\u003e0.188\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 3.8509%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 6.0726%;\"\u003e\n \u003cp\u003eSource\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4.2952%;\"\u003e\n \u003cp\u003eSS\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4.5915%;\"\u003e\n \u003cp\u003edf\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 3.8509%;\"\u003e\n \u003cp\u003eMS\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4.0731%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd style=\"width: 6.3688%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd style=\"width: 3.8509%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 6.0726%;\"\u003e\n \u003cp\u003eModel\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4.2952%;\"\u003e\n \u003cp\u003e1.436\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4.5915%;\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 3.8509%;\"\u003e\n \u003cp\u003e0.718\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4.0731%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd style=\"width: 6.3688%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd style=\"width: 3.8509%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 6.0726%;\"\u003e\n \u003cp\u003eResidual\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4.2952%;\"\u003e\n \u003cp\u003e0.704\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4.5915%;\"\u003e\n \u003cp\u003e20\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 3.8509%;\"\u003e\n \u003cp\u003e0.035\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4.0731%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd style=\"width: 6.3688%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd style=\"width: 3.8509%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 6.0726%;\"\u003e\n \u003cp\u003eTotal\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4.2952%;\"\u003e\n \u003cp\u003e2.141\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4.5915%;\"\u003e\n \u003cp\u003e22\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 3.8509%;\"\u003e\n \u003cp\u003e0.097\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4.0731%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd style=\"width: 6.3688%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd style=\"width: 3.8509%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 6.0726%;\"\u003e\n \u003cp\u003eRSA\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4.2952%;\"\u003e\n \u003cp\u003e\u0026beta;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4.5915%;\"\u003e\n \u003cp\u003eSE\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 3.8509%;\"\u003e\n \u003cp\u003et\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4.0731%;\"\u003e\n \u003cp\u003ep\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" style=\"width: 10.2938%;\"\u003e\n \u003cp\u003e95% CI\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 6.0726%;\"\u003e\n \u003cp\u003eCFI\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4.2952%;\"\u003e\n \u003cp\u003e0.062\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4.5915%;\"\u003e\n \u003cp\u003e0.022\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 3.8509%;\"\u003e\n \u003cp\u003e2.84\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4.0731%;\"\u003e\n \u003cp\u003e0.010\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 6.3688%;\"\u003e\n \u003cp\u003e0.016\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 3.8509%;\"\u003e\n \u003cp\u003e0.108\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 6.0726%;\"\u003e\n \u003cp\u003eR\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4.2952%;\"\u003e\n \u003cp\u003e0.003\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4.5915%;\"\u003e\n \u003cp\u003e0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 3.8509%;\"\u003e\n \u003cp\u003e3.72\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4.0731%;\"\u003e\n \u003cp\u003e0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 6.3688%;\"\u003e\n \u003cp\u003e0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 3.8509%;\"\u003e\n \u003cp\u003e0.005\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 6.0726%;\"\u003e\n \u003cp\u003eintercept\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4.2952%;\"\u003e\n \u003cp\u003e-0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4.5915%;\"\u003e\n \u003cp\u003e0.065\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 3.8509%;\"\u003e\n \u003cp\u003e-0.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 4.0731%;\"\u003e\n \u003cp\u003e0.993\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 6.3688%;\"\u003e\n \u003cp\u003e-0.136\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 3.8509%;\"\u003e\n \u003cp\u003e0.134\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"7\" valign=\"top\" style=\"width: 33.1029%;\"\u003e\n \u003cp\u003eNote: n, sample size; F, Snedecor-Fisher test value; p, probability value; R\u003csup\u003e2\u003c/sup\u003e, goodness of fit; adj, adjusted; MSE, mean squared error; SS, sum of squares; df, degree of freedom; MS, mean squared; RSA, repeated sprint ability; \u0026beta;, regression coefficient; SE, standard error; t, student test value; CI, confidence interval; CFI, calf fat index; R, resistance.\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"body composition, physical performance, juvenile football","lastPublishedDoi":"10.21203/rs.3.rs-5353649/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-5353649/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003e\u003cstrong\u003ePurpose.\u003c/strong\u003e Body characteristics and physical skills affect field performances, and the longitudinal improvements of these features allow one to join elite teams.\u0026nbsp;This pilot study aims to investigate longitudinal changes (30 months) in 24 adolescent football players of an Italian elite club.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eMethods.\u003c/strong\u003e Participants were clustered according to their age (U10=8, U11=11, U12=5). Anthropometry and body composition assessments were performed following standardized methods. Countermovement Jump (CMJ), maximal speed (15 meters) and change of direction (RSA) were tested. The repeated-measures ANOVA was assessed for the interaction effect between time and category. The Pearson correlation product-moment was used to correlate the changes (∆) of physical performance and body characteristics. Also, each delta of performance skill was used as the dependent variable in a multiple linear regression model.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eResults.\u003c/strong\u003e Stature, body mass, Fat-Free Mass (FFM), Total Upper Area (TUA), Total Calf Area (TCA) and CMJ improved in all categories (p\u0026lt;0.05). The lower limb power variability was better explained by humeral diameter and the supraspinal skinfold thickness variation (adj-R\u003csup\u003e2\u003c/sup\u003e= 0.621 p\u0026lt;0.001), while both maximal speed and RSA were negatively affected by the calf fat index (p\u0026lt;0.01).\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eConclusion\u003c/strong\u003e. Given the dynamic nature of the relationship between physical performance improvements and body shape growth, coaches, trainers, and scouters should consider what are the body features that could widely affect football players' performance and how these parameters could vary over the whole adolescence.\u003c/p\u003e","manuscriptTitle":"Longitudinal variations of body characteristics in Italian elite adolescent football players: a pilot study","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2024-11-20 10:39:00","doi":"10.21203/rs.3.rs-5353649/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"d98e5724-9231-4a6f-adbe-a98f232916bc","owner":[],"postedDate":"November 20th, 2024","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[],"tags":[],"updatedAt":"2025-01-09T16:23:47+00:00","versionOfRecord":[],"versionCreatedAt":"2024-11-20 10:39:00","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-5353649","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-5353649","identity":"rs-5353649","version":["v1"]},"buildId":"qtupq5eGEP_6zYnWcrvyt","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}