Fabiano de Macedo Salgueirosa

Relacao entre diferentes indices de atividade fisica e preditores de adiposidade em adolescentes de ambos os sexos

ABSTRACTRelationship between different rates of physical activity andadiposity predictors in male and female adolescentsObjectives: To determinate the relationship between differentrates of physical activity and adiposity predictors in male and fe-male adolescents. Methods: One hundred and eleven children (57boys and 54 girls) with average age of 11.62 ± 0.72 were mea-sured. As adiposity predictors, the BMI, the body fat percentage,and the waist/hip relation were measured. For the physical activityrates, the total energy expenditure (TEE), the habitual physical ac-tivity level (HPAL), the physical activity level (PAL) and the activityenergy expenditure (AEE) were calculated through the Bouchardquestionnaire and the basal metabolic rate (BMR) was determinedthrough the Schofield-HW equation. Results: The sample present-ed significant difference between genders for age, body fat per-centage, waist/hip relation and habitual physical activity level (HPAL),PAL, BMR with p < 0.05. For boys the TEE, PAL, BMR, AEE weresignificantly correlated with BMI (r = 0.86; r = 0.70; r = 0.91; r =0.78) and body fat % (r = 0.78; r = 0.61; r = 0.90; r = 0.70) with p <0.01 respectively, but the TEE, BMR, and AEE presented signifi-cant correlation with the waist/hip relation (r = 0.28; r = 0.45 and r= 0.28) with p < 0.05. For girls the TEE, PAL, BMR, and AEE weresignificantly correlated with BMI (r = 0.86; r = 0.82; r = 0.78; r =0.85), and the fat % was significant with TEE, PAL, BMR, habitualphysical activity level (HPAL) and AEE (r = 0.73; r = –0.29; r = 0.66;r = 0.74; r = 0.70) with p < 0.05.Objectives: To determinate the relationship between different rates of physical activity and adiposity predictors in male and female adolescents. Methods: One hundred and eleven children (57 boys and 54 girls) with average age of 11.62 ± 0.72 were measured. As adiposity predictors, the BMI, the body fat percentage, and the waist/hip relation were measured. For the physical activity rates, the total energy expenditure (TEE), the habitual physical activity level (HPAL), the physical activity level (PAL) and the activity energy expenditure (AEE) were calculated through the Bouchard questionnaire and the basal metabolic rate (BMR) was determined through the Schofield-HW equation. Results: The sample presented significant difference between genders for age, body fat percentage, waist/hip relation and habitual physical activity level (HPAL), PAL, BMR with p < 0.05. For boys the TEE, PAL, BMR, AEE were significantly correlated with BMI (r = 0.86; r = 0.70; r = 0.91; r = 0.78) and body fat % (r = 0.78; r = 0.61; r = 0.90; r = 0.70) with p < 0.01 respectively, but the TEE, BMR, and AEE presented significant correlation with the waist/hip relation (r = 0.28; r = 0.45 and r = 0.28) with p < 0.05. For girls the TEE, PAL, BMR, and AEE were significantly correlated with BMI (r = 0.86; r = 0.82; r = 0.78; r = 0.85), and the fat % was significant with TEE, PAL, BMR, habitual physical activity level (HPAL) and AEE (r = 0.73; r = –0.29; r = 0.66; r = 0.74; r = 0.70) with p < 0.05. Conclusion: The different rates of physical activity demonstrated a significant correlation with the adiposity predictors, except for the waist/hip relation in girls. The body mass demonstrated a significance relationship with the increase on the energy expenditure as a function of the higher energy requirement in order to move the body.

Distribuição de subgrupos com base nas respostas fisiológicas em jogadores profissionais de futebol pela técnica K Means Cluster

INTRODUCTION: Physical fitness in soccer needs to be constantly updated due to current demands in contemporary soccer. OBJECTIVE: To assess the sensitivity of the K Means Clustering in group distribution based on physiological responses relevant to soccer. METHODS: The athletes underwent anthropometric evaluations to determine fat percentage (%F) lean mass (LM), treadmill incremental test to obtain the VO2 maximum (VO2max) and ventilatory threshold velocity (VL), as well as a field test for agility (AG) and vertical jump (VJ). Data were analyzed by Kruskal-Wallis and distribution of groups was determined by K Means Clustering according to their similarities with these physiological variables, assuming significance level of p < 0.05. RESULTS: Showed that both groups were significantly different only concerning VJ (p < 0.001); LM (p < 0.001); VL (p = 0.011) and VO2max (p = 0.029) indicating that the athletes need to be distributed in groups for these variables. Nevertheless, %F and AG (p = 0.317; p = 0.922) respectively, were not different, indicating that these variables can be improved in all athletes collectively. CONCLUSION: The results make us conclude that group distribution by K Means Clustering technique can be performed using physiological responses of athletes in an attempt to optimize training for professional soccer players with focus on the common main training needs regardless of their tactical function played on the field.

Relacion entre diferentes índices de atividad física y predictores de adiposidad en adolescentes de ambos sexos

ABSTRACTRelationship between different rates of physical activity andadiposity predictors in male and female adolescentsObjectives: To determinate the relationship between differentrates of physical activity and adiposity predictors in male and fe-male adolescents. Methods: One hundred and eleven children (57boys and 54 girls) with average age of 11.62 ± 0.72 were mea-sured. As adiposity predictors, the BMI, the body fat percentage,and the waist/hip relation were measured. For the physical activityrates, the total energy expenditure (TEE), the habitual physical ac-tivity level (HPAL), the physical activity level (PAL) and the activityenergy expenditure (AEE) were calculated through the Bouchardquestionnaire and the basal metabolic rate (BMR) was determinedthrough the Schofield-HW equation. Results: The sample present-ed significant difference between genders for age, body fat per-centage, waist/hip relation and habitual physical activity level (HPAL),PAL, BMR with p < 0.05. For boys the TEE, PAL, BMR, AEE weresignificantly correlated with BMI (r = 0.86; r = 0.70; r = 0.91; r =0.78) and body fat % (r = 0.78; r = 0.61; r = 0.90; r = 0.70) with p <0.01 respectively, but the TEE, BMR, and AEE presented signifi-cant correlation with the waist/hip relation (r = 0.28; r = 0.45 and r= 0.28) with p < 0.05. For girls the TEE, PAL, BMR, and AEE weresignificantly correlated with BMI (r = 0.86; r = 0.82; r = 0.78; r =0.85), and the fat % was significant with TEE, PAL, BMR, habitualphysical activity level (HPAL) and AEE (r = 0.73; r = –0.29; r = 0.66;r = 0.74; r = 0.70) with p < 0.05.Objectives: To determinate the relationship between different rates of physical activity and adiposity predictors in male and female adolescents. Methods: One hundred and eleven children (57 boys and 54 girls) with average age of 11.62 ± 0.72 were measured. As adiposity predictors, the BMI, the body fat percentage, and the waist/hip relation were measured. For the physical activity rates, the total energy expenditure (TEE), the habitual physical activity level (HPAL), the physical activity level (PAL) and the activity energy expenditure (AEE) were calculated through the Bouchard questionnaire and the basal metabolic rate (BMR) was determined through the Schofield-HW equation. Results: The sample presented significant difference between genders for age, body fat percentage, waist/hip relation and habitual physical activity level (HPAL), PAL, BMR with p < 0.05. For boys the TEE, PAL, BMR, AEE were significantly correlated with BMI (r = 0.86; r = 0.70; r = 0.91; r = 0.78) and body fat % (r = 0.78; r = 0.61; r = 0.90; r = 0.70) with p < 0.01 respectively, but the TEE, BMR, and AEE presented significant correlation with the waist/hip relation (r = 0.28; r = 0.45 and r = 0.28) with p < 0.05. For girls the TEE, PAL, BMR, and AEE were significantly correlated with BMI (r = 0.86; r = 0.82; r = 0.78; r = 0.85), and the fat % was significant with TEE, PAL, BMR, habitual physical activity level (HPAL) and AEE (r = 0.73; r = –0.29; r = 0.66; r = 0.74; r = 0.70) with p < 0.05. Conclusion: The different rates of physical activity demonstrated a significant correlation with the adiposity predictors, except for the waist/hip relation in girls. The body mass demonstrated a significance relationship with the increase on the energy expenditure as a function of the higher energy requirement in order to move the body.

Relationship between different rates of physical activity and adiposity predictors in male and female adolescents

ABSTRACTRelationship between different rates of physical activity andadiposity predictors in male and female adolescentsObjectives: To determinate the relationship between differentrates of physical activity and adiposity predictors in male and fe-male adolescents. Methods: One hundred and eleven children (57boys and 54 girls) with average age of 11.62 ± 0.72 were mea-sured. As adiposity predictors, the BMI, the body fat percentage,and the waist/hip relation were measured. For the physical activityrates, the total energy expenditure (TEE), the habitual physical ac-tivity level (HPAL), the physical activity level (PAL) and the activityenergy expenditure (AEE) were calculated through the Bouchardquestionnaire and the basal metabolic rate (BMR) was determinedthrough the Schofield-HW equation. Results: The sample present-ed significant difference between genders for age, body fat per-centage, waist/hip relation and habitual physical activity level (HPAL),PAL, BMR with p < 0.05. For boys the TEE, PAL, BMR, AEE weresignificantly correlated with BMI (r = 0.86; r = 0.70; r = 0.91; r =0.78) and body fat % (r = 0.78; r = 0.61; r = 0.90; r = 0.70) with p <0.01 respectively, but the TEE, BMR, and AEE presented signifi-cant correlation with the waist/hip relation (r = 0.28; r = 0.45 and r= 0.28) with p < 0.05. For girls the TEE, PAL, BMR, and AEE weresignificantly correlated with BMI (r = 0.86; r = 0.82; r = 0.78; r =0.85), and the fat % was significant with TEE, PAL, BMR, habitualphysical activity level (HPAL) and AEE (r = 0.73; r = –0.29; r = 0.66;r = 0.74; r = 0.70) with p < 0.05.Objectives: To determinate the relationship between different rates of physical activity and adiposity predictors in male and female adolescents. Methods: One hundred and eleven children (57 boys and 54 girls) with average age of 11.62 ± 0.72 were measured. As adiposity predictors, the BMI, the body fat percentage, and the waist/hip relation were measured. For the physical activity rates, the total energy expenditure (TEE), the habitual physical activity level (HPAL), the physical activity level (PAL) and the activity energy expenditure (AEE) were calculated through the Bouchard questionnaire and the basal metabolic rate (BMR) was determined through the Schofield-HW equation. Results: The sample presented significant difference between genders for age, body fat percentage, waist/hip relation and habitual physical activity level (HPAL), PAL, BMR with p < 0.05. For boys the TEE, PAL, BMR, AEE were significantly correlated with BMI (r = 0.86; r = 0.70; r = 0.91; r = 0.78) and body fat % (r = 0.78; r = 0.61; r = 0.90; r = 0.70) with p < 0.01 respectively, but the TEE, BMR, and AEE presented significant correlation with the waist/hip relation (r = 0.28; r = 0.45 and r = 0.28) with p < 0.05. For girls the TEE, PAL, BMR, and AEE were significantly correlated with BMI (r = 0.86; r = 0.82; r = 0.78; r = 0.85), and the fat % was significant with TEE, PAL, BMR, habitual physical activity level (HPAL) and AEE (r = 0.73; r = –0.29; r = 0.66; r = 0.74; r = 0.70) with p < 0.05. Conclusion: The different rates of physical activity demonstrated a significant correlation with the adiposity predictors, except for the waist/hip relation in girls. The body mass demonstrated a significance relationship with the increase on the energy expenditure as a function of the higher energy requirement in order to move the body.