Title: ReiKi as a Legal Doping in Sports Problem specification: In professional sport performance is a variable, which influences almost everything. The sportsmen are aware of that and they feel under the pressure. That is why many of them use the illegal doping. But is it really the only way? We have already learned to train the corporeal part and later even the psychical part. Is not logical to pay the same attention to the spiritual part? Is it possible, that for example influence of a spiritual energy (ReiKi and familiar methods) could affect the sport performance? Objectives: To proof or disprove a hypothesis about accepting the spiritual energy and its influence on sport performance and alternatively suggest particular application of this factor in sport practice. To offer an alternative way to accomplish better performance without using unhealthy drugs to sportsmen is the general objective of this work. Methods: The work was solved in a form of studying the cases using some couples of monozygotic twins. The basic idea lay in placement one of the sibling to the program of regular ReiKi therapies. The twins did the same kind of sports, in which was observed their performance. To get more complex point of view there were placed even regular sportsmen to the research. These sportsmen went...

The training of athletes is a multi-design process, where the physical, spiritual and intellectual powers of sports personalities and those seeking for sports results interact closely. The narrow and single-sided aspects of training process were mostly studied by the scientists, and revealed the contradictory results, which let manage the change of training to athletes only partially. With reference to the theory of athlete’s training and performance metamodel, using the diagnostic researches and a multi-design one alternative experiment were determined the training models of high performance shooters with training volume and intensity variation, interaction between training and sport performance. The created optimal models of high performance shooters’ can be optimal for junior age shooters as well. The educational mean of the dissertation consist of active shooters participation in the training, perfection of the sport performance, and education of the personality, training the self-education. The determined specific indices of the shooters’ training and the sport performance are defined by: 1) the reverse tough interaction of the inappropriate posture of the Lithuanian shooters (body mass center pathway pose with a gun and eyes open) and sports results (r = -0,95); 2) psychical fitness which is determined by not enough experience of international competitions (p < 0,001); 3) the determined 5 individual training and performance models of Lithuanian high performance shooters... [to full text]

Nutrition knowledge, dietary intake, body composition and perceived sport performance were measured before and after an eight week nutrition intervention. The sample consisted of eleven male high school football athletes aged 14-18 years old. Baseline nutrition knowledge was higher than anticipated but fruit and vegetable intake was low. As a result of the nutrition intervention, vegetable intake improved from 0.94 servings per day to 2.02 servings per day (p=0.02). Of the eleven subjects in the study, eleven conceded to both performing and feeling better as a result of the nutrition intervention. The present study suggests that a nutrition intervention can improve dietary intake and perceived sport performance among adolescent athletes.

According to research (Maher et al. 2007:450), participation in physical activity have health-, psycological, as well as physiological benefits for persons with or without physical disabilities. Participation in physical activity will also lead to improvement of physical fitness. Inactivity is associated with health-related diseases. It is therefore important to improve the physical fitness of athletes with physical disabilities to decrease health risks and to improve their performance in sport. The purpose of this study was to evaluate the physical fitness levels of 10 to 17 year old athletes with physical disabilies, in order to compile physical-ability profiles for spesific classes of participation. A second purpose was to compile exercise recommendations for specific classes of participation to enchance physical ability and reduce health-related diseases. A group (N=83) was selected by the coaches of selected schools in the Free State and Central Gauteng Provinces. Different racial groups [White (n=36), Black (n=46), Coloured (n=l)] formed part of this group. From this group, 56 boys and 27 girls completed the Brockport Physical Fitness Test (BPFT) (Winnick & Short, 1999). For the analysis of the data, the Statistica for Windows computer package, 2008, was used. The physical-ability profiles indicated that most of the athletes have poor aerobic capacity, muscle strength and leg-, hip-, and trunk flexibility. It is further recommended to include 20-30 minutes of aerobic exercises in the programme. To increase muscle strength, 8-12 repetions of an intensity level of 50 - 70 % of the 1RM, 1 - 2 sets and 1 - 2 minutes rest between exercises is recommended. To improve leg-, hip-, and trunk flexibility it is further recommended to inclode stretching of 15 - 30 seconds. These recommendations will improve components of health-related physical fitness and functionality as well as decrease risks of developing health-related diseases. / Thesis (M.Sc. (Human Movement Science))--North-West University, Potchefstroom Campus, 2009.

According to research (Maher et al. 2007:450), participation in physical activity have health-, psycological, as well as physiological benefits for persons with or without physical disabilities. Participation in physical activity will also lead to improvement of physical fitness. Inactivity is associated with health-related diseases. It is therefore important to improve the physical fitness of athletes with physical disabilities to decrease health risks and to improve their performance in sport. The purpose of this study was to evaluate the physical fitness levels of 10 to 17 year old athletes with physical disabilies, in order to compile physical-ability profiles for spesific classes of participation. A second purpose was to compile exercise recommendations for specific classes of participation to enchance physical ability and reduce health-related diseases. A group (N=83) was selected by the coaches of selected schools in the Free State and Central Gauteng Provinces. Different racial groups [White (n=36), Black (n=46), Coloured (n=l)] formed part of this group. From this group, 56 boys and 27 girls completed the Brockport Physical Fitness Test (BPFT) (Winnick & Short, 1999). For the analysis of the data, the Statistica for Windows computer package, 2008, was used. The physical-ability profiles indicated that most of the athletes have poor aerobic capacity, muscle strength and leg-, hip-, and trunk flexibility. It is further recommended to include 20-30 minutes of aerobic exercises in the programme. To increase muscle strength, 8-12 repetions of an intensity level of 50 - 70 % of the 1RM, 1 - 2 sets and 1 - 2 minutes rest between exercises is recommended. To improve leg-, hip-, and trunk flexibility it is further recommended to inclode stretching of 15 - 30 seconds. These recommendations will improve components of health-related physical fitness and functionality as well as decrease risks of developing health-related diseases. / Thesis (M.Sc. (Human Movement Science))--North-West University, Potchefstroom Campus, 2009.

The present investigation examined the role of cognitive interference in sport. In Study 1 an instrument to assess intrusive thoughts athletes experience during performance was developed (Thought Occurrence Questionnaire for Sport; TOQS). In the first part of the study, which involved modification of an instrument constructed in educational settings, three types of thoughts were identified. These were 'performance worries', 'situation irrelevant thoughts' and 'thoughts of escape'. In the second part of the study, which involved validation of the modified instrument, support for the psychometric properties of the TOQS was provided through tests of convergent, concurrent and discriminant validity. Study 2 examined situational antecedents of cognitive interference. Discrepancies between expected and actual performance was identified as the best predictor of cognitive interference athletes experience, whereas cognitive anxiety was found moderately related to cognitive interference. Finally, it was found that athletes experiencing their anxiety states as facilitative reported less cognitive interference than athletes experiencing their anxiety states as debilitative. Study 3 investigated possible effects cognitive interference has on aspects of sport performance based on athletes' perceptions. Participants reported cognitive interference to be detrimental to their concentration. Furthermore, it was revealed that different types of thoughts influence effort input in different ways. The relationship between 'performance worries' and subsequent effort depended on goal attainment expectancies. Athletes holding higher expectancies reported that their worries resulted in increased effort, whereas athletes holding lower expectancies reported their worries to result in decreased effort. 'Situation irrelevant thoughts' were reported not to have any effects on subsequent effort, while 'thoughts of escape' were associated with decreases in effort. Finally, Study 4 examined relationships between achievement goal orientations and cognitive interference. A negative relationship between task orientation and thoughts of escape was the only strong and consistent association that emerged. Goal profiles analysis revealed that, in contrast to athletes holding self-referenced goals, for those holding comparative goals outcome is an important determinant of withdrawal thoughts. The results of the present investigation are discussed in relation to findings in educational and sport settings, and a conceptual model regarding the role of cognitive interference in sport is proposed. Overall, cognitive interference is identified as a topic which requires further examination in the sport psychology domain.

O presente estudo teve como objetivo, estabelecer o modelo da estrutura do desempenho esportivo por meio das adaptações antropométricas e motoras de atletas de equipe de voleibol masculino, adotando o ciclo de preparação da Seleção Brasileira Sub-19 para o Campeonato Mundial, no ano de 2005. A amostra foi intencional e composta por 12 atletas, com média de idade de 17,76+0,71 anos. Para o volume de treinamento, foi adotada a análise documental a partir de manuscritos elaborados pela comissão técnica. As variáveis analisadas nas três avaliações foram organizadas na seguinte ordem: Carga horária de treinamento; Antropométricas (estatura, massa corporal, somatória de sete dobras cutâneas, percentual de gordura); Potência de membros superiores (arremesso de “medicine ball” com três quilogramas); Potência de membros inferiores (saltos contramovimentos, “squat jump”, altura de alcance de salto de ataque e bloqueio, impulsão de saltos de ataque e bloqueio); Agilidade e resistência de velocidade (deslocamentos em 30m e 78m); Resistência muscular localizada (abdominais 30 segundos). Para verificar a influência do tempo de treinamento nas adaptações do desempenho foi utilizado o Modelo Linear Geral de Medidas Repetidas; para analisar e explicar a correlação entre as variáveis foi utilizada a Análise Fatorial das Componentes Principais. Os resultados encontrados permitem estabelecer as seguintes distribuições do volume de treinamento das categorias: treinamento físico: 94,92 horas (31,35%), treinamento técnico: 79,83 horas (36,32%), treinamento tático: 125,72 horas (41,53%) e o treinamento psicológico apenas 2,25 horas (0,74%). Em relação às variáveis e a influência do fator “treinamento”, na mudança das médias, identificamos valores com poder de observação superior a 99,9% para as variáveis estatura (F=93,15, p=0,000) e agilidade (F=26,08, p=0,000); 98,9% alcance de ataque (F=14,60, p=0,000); 97,4% resistência de velocidade (F=12,50, p=0,002); 96,3 % alcance de bloqueio (F=11,54, p=0,003); 91,1% impulsão de bloqueio (F=9,06, p=0,006); 89,7 % massa corporal (F=8,64, p=0,007); 86,3% resistência muscular localizada (F=7,79, p=0,009); 58,8% impulsão de ataque (F=4,12, p=0,050); 54,7% envergadura de bloqueio (F=3,75, p=0,061). O modelo das componentes principais produziu uma explicação da variabilidade total em cada avaliação (92,15% na primeira avaliação, 91,22% na segunda avaliação e 85,95% na última avaliação). O tempo destinado à duração das sessões de treinamento e a quantificação das categorias física e técnica demonstraram maior volume no período preparatório, com a finalidade de adaptar o organismo dos atletas para cargas mais intensas, conforme a aproximação do período competitivo. As adaptações durante a preparação demonstraram diferenças significativas e elevado poder de influência do treinamento nas variáveis antropométricas e motoras. O modelo do desempenho esportivo estabelece, com elevado percentual de variância nos três momentos de avaliação, a primeira componente (estatura e envergaduras de ataque e bloqueio), massa corporal e saltos específicos (alcance de ataque e bloqueio). Ao ser identificada a inter-relação entre as variáveis descritas, torna-se mais evidente a necessidade de se destinar maior atenção para os atletas mais altos, e consequentemente mais fortes. / This study had as objective to determine the structure of sport performance through the anthropometric and biomotor adaptations on the athletes from the male volleyball team during the macrocycle of under-19 Brazillian National Team in preparation to the 2005 world championship. The sample was composed of 12 athletes (17.76±0.71 years old). Training volume analysis was according to the manuscripts recorded by the coaches. The athletes were tested in three different moments and the measured variables were organized as followed: Training volume quantification; anthropometry (height, body mass, sum of seven skinfolds, % body fat); muscle power of the upper extremities ( 3 kg medicine ball throwing ); muscle power or the lower extremities ( squat jump. countermovement jump, attack and block height, attack and block vertical jumping height); shuttle test for agility ( 30 m) and shuttle test for speed resistance (78 m); abdominal strength (situps 30 s). The linear model for repeated measures was used to verify the influence of training time exposure on the adaptations on the performance; the factorial analysis of the mean components was used to analyze and explain the correlations among the variables. The results presented the following distribution for training volume: physical conditioning (94.92 hours – 31.35%); technical practices (79.83 hours – 36.32%), tactical training (125.72 hours – 41.53%) and psychological training (2.25 hours – 0.74%). Related to the measured variables and the influence of the training in the mean changes, it was identified values with observational power superior to 99.9% to the variables height (F=93.15, p=0.000) and shuttle test for agility (F=26.08, p=0.000); 98,9% attack height (F=14.60, p=0.000); 97,4% shuttle test for speed resistance (F=12.50, p=0.002); 96,3 % block height (F=11.54, p=0.003); 91,1% block vertical jump (F=9.06, p=0.006); 89,7% body mass (F=8.64, p=0.007); 86,3% abdominal strength (F=7.79, p=0.009); 58.8% attack vertical jump (F=4.12, p=0.050); 54,7% standing block height (F=3.75, p=0.061). The model of the principal components presented results that explained the total variability on each testing moment (92.15% moment 1; 91.22% moment 2; 85.95% moment 3). The time spent on training sessions and the quantification of the categories physical conditioning and technical practices demonstrated a highest volume at the preparatory period which aimed to promote adaptation on the athletes´ organism in order to prepare them to more intense work loads in direction to the competitive period. The adaptations occurred during the preparation revealed significant differences and high power of training volume influence in the anthropometric and biomotors variables. The model of sport performance demonstrated high percentage of variance at the three distinct testing moments, the first component (height and standing height for attack and block), body mass and specific jump tests (attack and block height). When identifying the inter-relation among the described variables, it is important to highlight the need to carefully deal with the tallest and consequently the strongest athletes.

The complexity of dynamical systems (spanning brain, body and environment) can yield complex adaptive behaviors from non-linear interactions of individuals in space and time. A lack of reliable instruments to assess these varying behaviors results in inferences of how changes in behavior occurred over an extended period of time rather than being based on direct scientific measures. The aim of this study was to develop a scale of complexity and perceptual-cognitive skills' assessment in the sport soccer and to evaluate structural and criterion reliability. Based on the embodied cognition literature, the construct of this scale was identified with three dimensions to assess perceptual-cognitive performance of players when acting within different levels of complex team synergies. A sample of 10 soccer coaches - group A (n = 5 coaches; M = 24 yrs professional coaching experience) and group B (n = 5 coaches; M = 1 year of amateur coaching experience) were recruited to participate in the study. A total of 100 clips of 10 previously recorded soccer matches were analyzed in two assessment periods with one month between the end of the first assessment and the beginning of the second. This resulted in a combined total of 1000 measures used for the study. The results demonstrated that high skilled coaches were more reliable in the complexity dimension (r = 0.87) and also in the decision making dimension (r = 0.79) than low qualified coaches (r = 0.79) and (r = 0.71) respectively; and the complexity dimension was more stable across trials between professional and amateur coaches in the first data collection i (r = 0.79) and second data collection (r = 0 .73) than the decision making dimension (r = 0.50) and (r = 0.43) respectively. These findings indicate that this scale is reliable across applications and at different times with high and low qualified coaches. The use of the scale may be useful for identifying elements of emerging complexity at the team-fractal-player level; determine a perceptual-cognitive profile in athletes; and to better understand complex tactical dynamics in soccer.

O presente estudo teve como objetivo, estabelecer o modelo da estrutura do desempenho esportivo por meio das adaptações antropométricas e motoras de atletas de equipe de voleibol masculino, adotando o ciclo de preparação da Seleção Brasileira Sub-19 para o Campeonato Mundial, no ano de 2005. A amostra foi intencional e composta por 12 atletas, com média de idade de 17,76+0,71 anos. Para o volume de treinamento, foi adotada a análise documental a partir de manuscritos elaborados pela comissão técnica. As variáveis analisadas nas três avaliações foram organizadas na seguinte ordem: Carga horária de treinamento; Antropométricas (estatura, massa corporal, somatória de sete dobras cutâneas, percentual de gordura); Potência de membros superiores (arremesso de “medicine ball” com três quilogramas); Potência de membros inferiores (saltos contramovimentos, “squat jump”, altura de alcance de salto de ataque e bloqueio, impulsão de saltos de ataque e bloqueio); Agilidade e resistência de velocidade (deslocamentos em 30m e 78m); Resistência muscular localizada (abdominais 30 segundos). Para verificar a influência do tempo de treinamento nas adaptações do desempenho foi utilizado o Modelo Linear Geral de Medidas Repetidas; para analisar e explicar a correlação entre as variáveis foi utilizada a Análise Fatorial das Componentes Principais. Os resultados encontrados permitem estabelecer as seguintes distribuições do volume de treinamento das categorias: treinamento físico: 94,92 horas (31,35%), treinamento técnico: 79,83 horas (36,32%), treinamento tático: 125,72 horas (41,53%) e o treinamento psicológico apenas 2,25 horas (0,74%). Em relação às variáveis e a influência do fator “treinamento”, na mudança das médias, identificamos valores com poder de observação superior a 99,9% para as variáveis estatura (F=93,15, p=0,000) e agilidade (F=26,08, p=0,000); 98,9% alcance de ataque (F=14,60, p=0,000); 97,4% resistência de velocidade (F=12,50, p=0,002); 96,3 % alcance de bloqueio (F=11,54, p=0,003); 91,1% impulsão de bloqueio (F=9,06, p=0,006); 89,7 % massa corporal (F=8,64, p=0,007); 86,3% resistência muscular localizada (F=7,79, p=0,009); 58,8% impulsão de ataque (F=4,12, p=0,050); 54,7% envergadura de bloqueio (F=3,75, p=0,061). O modelo das componentes principais produziu uma explicação da variabilidade total em cada avaliação (92,15% na primeira avaliação, 91,22% na segunda avaliação e 85,95% na última avaliação). O tempo destinado à duração das sessões de treinamento e a quantificação das categorias física e técnica demonstraram maior volume no período preparatório, com a finalidade de adaptar o organismo dos atletas para cargas mais intensas, conforme a aproximação do período competitivo. As adaptações durante a preparação demonstraram diferenças significativas e elevado poder de influência do treinamento nas variáveis antropométricas e motoras. O modelo do desempenho esportivo estabelece, com elevado percentual de variância nos três momentos de avaliação, a primeira componente (estatura e envergaduras de ataque e bloqueio), massa corporal e saltos específicos (alcance de ataque e bloqueio). Ao ser identificada a inter-relação entre as variáveis descritas, torna-se mais evidente a necessidade de se destinar maior atenção para os atletas mais altos, e consequentemente mais fortes. / This study had as objective to determine the structure of sport performance through the anthropometric and biomotor adaptations on the athletes from the male volleyball team during the macrocycle of under-19 Brazillian National Team in preparation to the 2005 world championship. The sample was composed of 12 athletes (17.76±0.71 years old). Training volume analysis was according to the manuscripts recorded by the coaches. The athletes were tested in three different moments and the measured variables were organized as followed: Training volume quantification; anthropometry (height, body mass, sum of seven skinfolds, % body fat); muscle power of the upper extremities ( 3 kg medicine ball throwing ); muscle power or the lower extremities ( squat jump. countermovement jump, attack and block height, attack and block vertical jumping height); shuttle test for agility ( 30 m) and shuttle test for speed resistance (78 m); abdominal strength (situps 30 s). The linear model for repeated measures was used to verify the influence of training time exposure on the adaptations on the performance; the factorial analysis of the mean components was used to analyze and explain the correlations among the variables. The results presented the following distribution for training volume: physical conditioning (94.92 hours – 31.35%); technical practices (79.83 hours – 36.32%), tactical training (125.72 hours – 41.53%) and psychological training (2.25 hours – 0.74%). Related to the measured variables and the influence of the training in the mean changes, it was identified values with observational power superior to 99.9% to the variables height (F=93.15, p=0.000) and shuttle test for agility (F=26.08, p=0.000); 98,9% attack height (F=14.60, p=0.000); 97,4% shuttle test for speed resistance (F=12.50, p=0.002); 96,3 % block height (F=11.54, p=0.003); 91,1% block vertical jump (F=9.06, p=0.006); 89,7% body mass (F=8.64, p=0.007); 86,3% abdominal strength (F=7.79, p=0.009); 58.8% attack vertical jump (F=4.12, p=0.050); 54,7% standing block height (F=3.75, p=0.061). The model of the principal components presented results that explained the total variability on each testing moment (92.15% moment 1; 91.22% moment 2; 85.95% moment 3). The time spent on training sessions and the quantification of the categories physical conditioning and technical practices demonstrated a highest volume at the preparatory period which aimed to promote adaptation on the athletes´ organism in order to prepare them to more intense work loads in direction to the competitive period. The adaptations occurred during the preparation revealed significant differences and high power of training volume influence in the anthropometric and biomotors variables. The model of sport performance demonstrated high percentage of variance at the three distinct testing moments, the first component (height and standing height for attack and block), body mass and specific jump tests (attack and block height). When identifying the inter-relation among the described variables, it is important to highlight the need to carefully deal with the tallest and consequently the strongest athletes.

O presente estudo teve como objetivo, estabelecer o modelo da estrutura do desempenho esportivo por meio das adaptações antropométricas e motoras de atletas de equipe de voleibol masculino, adotando o ciclo de preparação da Seleção Brasileira Sub-19 para o Campeonato Mundial, no ano de 2005. A amostra foi intencional e composta por 12 atletas, com média de idade de 17,76+0,71 anos. Para o volume de treinamento, foi adotada a análise documental a partir de manuscritos elaborados pela comissão técnica. As variáveis analisadas nas três avaliações foram organizadas na seguinte ordem: Carga horária de treinamento; Antropométricas (estatura, massa corporal, somatória de sete dobras cutâneas, percentual de gordura); Potência de membros superiores (arremesso de “medicine ball” com três quilogramas); Potência de membros inferiores (saltos contramovimentos, “squat jump”, altura de alcance de salto de ataque e bloqueio, impulsão de saltos de ataque e bloqueio); Agilidade e resistência de velocidade (deslocamentos em 30m e 78m); Resistência muscular localizada (abdominais 30 segundos). Para verificar a influência do tempo de treinamento nas adaptações do desempenho foi utilizado o Modelo Linear Geral de Medidas Repetidas; para analisar e explicar a correlação entre as variáveis foi utilizada a Análise Fatorial das Componentes Principais. Os resultados encontrados permitem estabelecer as seguintes distribuições do volume de treinamento das categorias: treinamento físico: 94,92 horas (31,35%), treinamento técnico: 79,83 horas (36,32%), treinamento tático: 125,72 horas (41,53%) e o treinamento psicológico apenas 2,25 horas (0,74%). Em relação às variáveis e a influência do fator “treinamento”, na mudança das médias, identificamos valores com poder de observação superior a 99,9% para as variáveis estatura (F=93,15, p=0,000) e agilidade (F=26,08, p=0,000); 98,9% alcance de ataque (F=14,60, p=0,000); 97,4% resistência de velocidade (F=12,50, p=0,002); 96,3 % alcance de bloqueio (F=11,54, p=0,003); 91,1% impulsão de bloqueio (F=9,06, p=0,006); 89,7 % massa corporal (F=8,64, p=0,007); 86,3% resistência muscular localizada (F=7,79, p=0,009); 58,8% impulsão de ataque (F=4,12, p=0,050); 54,7% envergadura de bloqueio (F=3,75, p=0,061). O modelo das componentes principais produziu uma explicação da variabilidade total em cada avaliação (92,15% na primeira avaliação, 91,22% na segunda avaliação e 85,95% na última avaliação). O tempo destinado à duração das sessões de treinamento e a quantificação das categorias física e técnica demonstraram maior volume no período preparatório, com a finalidade de adaptar o organismo dos atletas para cargas mais intensas, conforme a aproximação do período competitivo. As adaptações durante a preparação demonstraram diferenças significativas e elevado poder de influência do treinamento nas variáveis antropométricas e motoras. O modelo do desempenho esportivo estabelece, com elevado percentual de variância nos três momentos de avaliação, a primeira componente (estatura e envergaduras de ataque e bloqueio), massa corporal e saltos específicos (alcance de ataque e bloqueio). Ao ser identificada a inter-relação entre as variáveis descritas, torna-se mais evidente a necessidade de se destinar maior atenção para os atletas mais altos, e consequentemente mais fortes. / This study had as objective to determine the structure of sport performance through the anthropometric and biomotor adaptations on the athletes from the male volleyball team during the macrocycle of under-19 Brazillian National Team in preparation to the 2005 world championship. The sample was composed of 12 athletes (17.76±0.71 years old). Training volume analysis was according to the manuscripts recorded by the coaches. The athletes were tested in three different moments and the measured variables were organized as followed: Training volume quantification; anthropometry (height, body mass, sum of seven skinfolds, % body fat); muscle power of the upper extremities ( 3 kg medicine ball throwing ); muscle power or the lower extremities ( squat jump. countermovement jump, attack and block height, attack and block vertical jumping height); shuttle test for agility ( 30 m) and shuttle test for speed resistance (78 m); abdominal strength (situps 30 s). The linear model for repeated measures was used to verify the influence of training time exposure on the adaptations on the performance; the factorial analysis of the mean components was used to analyze and explain the correlations among the variables. The results presented the following distribution for training volume: physical conditioning (94.92 hours – 31.35%); technical practices (79.83 hours – 36.32%), tactical training (125.72 hours – 41.53%) and psychological training (2.25 hours – 0.74%). Related to the measured variables and the influence of the training in the mean changes, it was identified values with observational power superior to 99.9% to the variables height (F=93.15, p=0.000) and shuttle test for agility (F=26.08, p=0.000); 98,9% attack height (F=14.60, p=0.000); 97,4% shuttle test for speed resistance (F=12.50, p=0.002); 96,3 % block height (F=11.54, p=0.003); 91,1% block vertical jump (F=9.06, p=0.006); 89,7% body mass (F=8.64, p=0.007); 86,3% abdominal strength (F=7.79, p=0.009); 58.8% attack vertical jump (F=4.12, p=0.050); 54,7% standing block height (F=3.75, p=0.061). The model of the principal components presented results that explained the total variability on each testing moment (92.15% moment 1; 91.22% moment 2; 85.95% moment 3). The time spent on training sessions and the quantification of the categories physical conditioning and technical practices demonstrated a highest volume at the preparatory period which aimed to promote adaptation on the athletes´ organism in order to prepare them to more intense work loads in direction to the competitive period. The adaptations occurred during the preparation revealed significant differences and high power of training volume influence in the anthropometric and biomotors variables. The model of sport performance demonstrated high percentage of variance at the three distinct testing moments, the first component (height and standing height for attack and block), body mass and specific jump tests (attack and block height). When identifying the inter-relation among the described variables, it is important to highlight the need to carefully deal with the tallest and consequently the strongest athletes.