The aim of the present study was (a) to describe the anthropometric profile of a large group of soccer players based on different age groups and their playing positions on the field, and (b) to examine the variations of body composition among adult soccer players using diverse equations based on skinfold thickness. A total of 618 Greek soccer players who were grouped by age (i.e., 12–14, 14–16, 16–18, and 18–37 years) and playing position (i.e., goalkeeper, defender, midfielder, and forward) were evaluated for weight, height, and skinfolds. The Pařízková formula was used to estimate the percentage of body fat. Furthermore, for players who were 18 years or older the Reilly and Evans formulas was used to estimate the percentage of body fat. Independent of the age, in this large sample, goalkeepers presented higher values for weight, height and the percentage of body fat estimation as compared with other field positions. An anthropometric pattern was observed in each tactical position, namely, across a specific age of increasing maturation process (14–16 years). With the Pařízková formula, we found a mean (SD) range of variation in the percentage of body fat estimation between 4.87 ± 1.46 and 5.51 ± 1.46 as compared with the Evans formula. The same pattern of differences was found when the Reilly equation was considered. In conclusion, we observed a position specificity of anthropometric characteristics across different age categories. Additionally, the same data supported different validated equations which resulted in large differences in the final outcome estimations.
This study had two main objectives: (1) to determine if differences in Functional Movement Screen (FMS) scores exist between two levels of competition; and (2) to analyze the association between FMS individual and overall scores and physical performance variables of lower-limb power (jumps), repeated sprint ability and shot speed. Twenty-two Under 16 (U16) and twenty-six Under 19 (U19) national competitive soccer players participated in this study. All participants were evaluated according to anthropometrics, FMS, jump performance, instep kick speed and anaerobic performance. There were no significant differences in the individual FMS scores between competitive levels. There were significant negative correlations between hurdle step (right) and Running-based Anaerobic Sprint Test (RAST) power average (ρ = −0.293; p = 0.043) and RAST fatigue index (RAST FatIndex) (ρ = −0.340; p = 0.018). The hurdle step (left) had a significant negative correlation to squat jump (SJ) (ρ = −0.369; p = 0.012). Rotary stability had a significant negative correlation to RAST fatigue index (Right: ρ = −0.311; p = 0.032. Left: ρ = −0.400; p = 0.005). The results suggest that individual FMS scores may be better discriminants of performance than FMS total score and established minimal association between FMS scores and physical variables. Based on that, FMS may be suitable for the purposes of determining physical function but not for discriminating physical performance.
OBJETIVO:Avaliar como as características demográficas, sociais e comportamentais se associam a diferentes tipos de atividade física. MÉTODOS:Avaliaram-se 37.692 indivíduos de amostra representativa da população portuguesa, no âmbito do Inquérito Nacional de Saúde, 1998-99. A maioria era constituída por mulheres (53,1%) e idade ≥20 anos. A avaliação da atividade física diária foi baseada em questionário e classifi cada como: total, de lazer e exercício. Cada tipo foi dicotomizado em baixa intensidade (atividades leves/moderadas) e alta intensidade (atividades pesadas/muito pesadas). Calcularam-se odds ratios (OR) e respectivos intervalos de confi ança de 95% por regressão logística não condicional. RESULTADOS:Em ambos os sexos, verificou-se associação inversa signifi cativa entre idade e diferentes tipos de atividade física, e entre a obesidade e a atividade de lazer e exercício. A escolaridade (≤4; 5-11; ≥12 anos) associou-se positivamente com a atividade física de lazer (OR 1; 1,58; 2,39 nas mulheres e OR 1; 1,44; 2,08 nos homens) e com o exercício (OR 1; 3,50; 9,77 nas mulheres e OR 1; 3,42; 7,61 nos homens) e de forma inversa com a AF total (OR 1; 0,65; 0,20 nas mulheres e 1; 0,47; 0,09 nos homens). Independentemente da idade, os solteiros eram frequentemente mais ativos. A atividade de lazer associou-se negativamente ao consumo de bebidas alcoólicas para ambos os sexos e nos homens, ao consumo de tabaco. CONCLUSÕES:Os jovens, normoponderais, solteiros, não-bebedores e os homens não-fumadores apresentaram maior probabilidade de serem fi sicamente ativos. Em ambos os sexos, observou-se um efeito diferencial da escolaridade segundo os tipos de atividade física.
Objective: To describe the relationship between dietary intake and different levels and types of physical activity (PA). Design: Cross-sectional evaluation of the EPIPorto study. Energy expenditure (metabolic energy equivalent tasks) and dietary intake during the past year were assessed using a PA questionnaire and a semi-quantitative food-frequency questionnaire, respectively. Setting: Representative sample of adults in Porto, Portugal. Subjects: Data were analysed for 2404 Portuguese Caucasian adults, aged between 18 and 92 years. Results: For total PA, males who were active had significantly higher mean intake of energy (10?76 (2570?7) vs. 9?78 (2336?9) MJ/d (kcal/d), P , 0?001) and lower level of protein consumption (16?9 vs. 17?6 % of energy, P , 0?001) compared with sedentary males. In males, the association between total PA and energy intake remained after adjustment for age, education and body mass index. Similar results were observed when occupational activity was analysed. Concerning the energy expended in leisure time, in both genders, after adjustment for the previously described variables, a significant positive association was found between PA and intake of vitamin C (g/d): b 5 0?12, 99 % confidence interval (CI) 0?02, 0?21 for females and b 5 0?13, 99 % CI 0?03, 0?22 for males. Leisure-time activity in females was also positively associated with intakes of fibre, vitamin E, folate, calcium and magnesium, and negatively associated with saturated fat. Conclusions: Higher levels of PA in leisure time were associated with higher intakes of micronutrients and lower intakes of saturated fat, particularly in females. For total and occupational PA, similar nutrient intake was observed between active and sedentary individuals.
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