BackgroundExploring the osteogenic effect of different bone-loading sports is particular relevant to understand the interaction between skeletal muscle and bone health during growth. This study aimed to compare total and regional bone and soft-tissue composition between female adolescent swimmers (n=20, 15.71±0.93 years) and volleyball players (n=26, 16.20±0.77 years).MethodsDietary intake was obtained using food frequency questionnaires. Body size was given by stature, sitting height, and body mass. Six skinfolds were measured. Bone mineral content (BMC) and density (BMD), lean soft tissue, and fat tissue were assessed using dual-energy X-ray absorptiometry. Pearson’s product moment correlation coefficients were calculated to examine the relationships among variables, by type of sport. Comparisons between swimmers and volleyball players were performed using student t-tests for independent samples and multivariate analysis of covariance (controlling for age, training history and body size).ResultsSwimmers (BMC: 2328±338 g) and volleyball players (BMC: 2656±470 g) exceeded respectively by 2.1 and 2.8 standard deviation scores the average of international standards for whole body BMC of healthy adolescents. Years of training in swimmers were positively related to the upper limbs BMC (r=+0.49, p<0.05). In volleyball players, years of training correlated significantly with lower limbs BMD (r=+0.43, p<0.05). After adjustments for potential confounders, moderate differences (ES-r=0.32) between swimmers and volleyball players were noted in BMD at the lower limbs (volleyball players: +0.098 g∙cm-2, +7.8%).ConclusionsYouth female athletes who participate in high-intensity weight-loading activities such as volleyball exhibit moderately higher levels of BMD at the lower limbs compared to non-loading sports such as swimming.Electronic supplementary materialThe online version of this article (10.1186/s12887-018-1182-z) contains supplementary material, which is available to authorized users.

This study aimed to predict motor coordination from a matrix of biocultural factors for 173 children (89 boys, 84 girls) aged 7-9 years who were assessed with the Körperkoordinationtest für Kinder test battery. Socioeconomic variables included built environment, area of residence, mother's educational level, and mother's physical activity level (using the International Physical Activity Questionnaire [short version]). The behavioral domain was marked by participation in organized sports and habitual physical activity measured by accelerometers ( ActiGraph GT1M). Indicators of biological development included somatic maturation and body mass index. Among males, the best logistic regression model to explain motor coordination (Nagelkerke R= 50.8; χ= 41.166; p < .001) emerged from age-group (odds ratio [OR]: 0.007-0.065), late maturation (OR = 0.174), normal body weight status (OR = 0.116), mother's educational level (OR = 0.129), and urban area of residence (OR = 0.236). Among girls, the best logistic regression to explain motor coordination (Nagelkerke R= 40.8; χ= 29.933; p < .01) derived from age (OR: 0.091-0.384), normal body mass index (OR = 0.142), participation in organized sport (OR = 0.121), and mother's physical activity level (OR = 0.183). This sex-specific, ecological approach to motor coordination proficiency may help promote physical activity during prepubertal years through familiar determinants.

This study aimed to examine the independent and combined effects of pubertal and weight status on concurrent measurements of peak oxygen (VO2peak) in school aged adolescent males. The final sample included 49 boys (12.3 ± 0.8 years). VO2peak was derived from an incremental progressive maximal protocol using a motorized treadmill. In addition, maximal oxygen uptake was estimated from a 20-m shuttle run test. Static allometric models were obtained as an alternative to performance output per unit of size descriptors. Weight status had a significant effect on VO2peak using simple ratio standards per unit of body mass with adolescents classified as overweight and obese (OWOB) attaining lower values of VO2peak. A similar trend was noted for the allometric models adopting body mass (BM; mL.kgBM.min), stature (L.m.min) and fat-free mass (FFM; mL.kgFFM.min). Findings also suggest the influence and interaction of pubertal and weight status on absolute values of VO2peak. Considering the data obtained, linear equations to estimate VO2peak from the 20-m shuttle run test should not be applied to boys that are OWOB as it will produce inaccurate assessments of cardiorespiratory fitness and penalize those who are heavier. Equations for VO2peak prediction need to be specific for pubertal status and preferably consider FFM as a body size descriptor.

Background Puberty is a period of intense changes in human body and, additionally, participation in sports is viewed as prominent form of physical activity among male adolescent athletes. The current study was aimed to examine the intra-individual changes in body composition and bone tissue during years of maximal growth and the effect of 12-month participation in sports contrasting in mechanical impact. Methods The sample included 40 male adolescent athletes (soccer: n = 20; swimming: n = 20) aged 12.57 ± 0.37 years who were followed for 12 months. Stature and body mass were measured, bone mineral content (BMC), areal bone mineral density (aBMD), lean soft and fat tissues assessed using DXA. Food intake was estimated using a questionnaires and training sessions individually monitored. Repeated measures ANOVA tested the differences between sports and 12-month intra-individual variation (time moments: TM1, TM2). The analyses on aBMD for total body and total body less head were repeated controlling for variation in stature at baseline. Results Soccer players completed 63 ± 31 sessions (95 ± 47 h). Respective values for swimmers were 248 ± 28 sessions and 390 ± 56 h. In general, the analysis of aBMD as dependent variable evidenced significant effect of sport-associated variation (F = 5.254, p < 0.01; η2 = 0.35) and 12-month increments, particularly at lower limbs (F = 97.238, p < 0.01; η2 = 0.85). Respective mean values for aBMD were SCCTM1 = 0.885 g.cm−2, SWMTM1 = 0.847 g.cm−2, SCCTM2 = 0.939 g.cm−2, SWMTM2 = 0.880. Regarding the lean soft tissue, the magnitude of effects was very large for intra-individual variation (F = 223.043, p < 0.01; η2 = 0.92) and moderate between sports (F = 7.850, p < 0.01; η2 = 0.41): SCCTM1 = 30.6 kg, SWMTM1 = 34.9 kg, SCCTM2 = 35.8 kg, SWMTM2 = 40.5 kg). Finally, d-cohen values reporting percentage of intra-individual changes in aBMD between soccer players ad swimmers were large for the trochanter (d = 1.2; annual increments: SCC = 8.1%, SWM = 3.6%). Conclusion Puberty appeared as a period of significant intra-individual changes in lean soft tissue and bone mineral density. With increasing accumulated training experience, mean difference between sports contrasting in mechanical impact tended to me more pronounced in particular at the lower limbs.

Objective: To compare tissue composition, total and regional bone mineral content and bone mineral density, static hand grip and knee joint isokinetic strength between amateur soccer players and Control Group. Methods: Cross-sectional study. Air displacement plethysmography was used to estimate body volume and, in turn, density. Body composition, bone mineral content and bone mineral density were assessed for the whole body and at standardized regions using dual energy X-ray absorptiometry. Static grip strength was assessed with an adjustable dynamometer, and peak torque derived from isokinetic strength dynamometer (concentric muscular knee actions at 60°/s). Magnitude of the differences between groups was examined using d-Cohen. Results: Compared to healthy active adults, soccer players showed larger values of whole body bone mineral content (+651g; d=1.60; p<0.01). In addition, differences between groups were large for whole body bone mineral density (d=1.20 to 1.90; p<0.01): lumbar spine, i.e . L1-L4 (+19.4%), upper limbs (+8.6%) and lower limbs (+16.8%). Soccer players attained larger mean values in strength test given by static hand grip protocol (+5.6kg, d=0.99; p<0.01). Conclusion: Soccer adequately regulates body composition and is associated better bone health parameters (bone mineral content and density at whole-body and at particular sites exposed to mechanical loadings).