Faculty of Biomedical Sciences, State Higher Education Institution Panevėžys College, 35200 Panevėžys, Lithuania.
Department of Public Health, Institute of Health Sciences, Faculty of Medicine, Vilnius University, 01513 Vilnius, Lithuania.
Nutrients. 2024 May 15;16(10):1493. doi: 10.3390/nu16101493.
Relevant properties of the somatotype as important indicators can be associated with the body composition characteristics as well as both metabolic and bio-mechanical efficiency of athletes in the sport concerned. The primary aim of this single cross-sectional study was to determine the somatotype profiles in association with body composition and nutritional profiles among Lithuanian elite athletes ( = 189) involved in water, cycling and combat sports. The body composition along with the somatotype profiles and the nutritional status of athletes were evaluated using a battery of multiple frequency (5, 50, 250, 550, and 1000 kHz) bioelectrical impedance analysis (BIA) and a 3-day food record analysis. In terms of the prediction for athletes to be classified as endomorphs, mesomorphs or ectomorphs, the linear discriminant analysis was conducted to assess the grouping of samples. Both the multiple linear regression and multivariate logistic regression statistical analyses were performed to explore the associations between the independent and dependent variables. The central tendency values for the somatotype components of endomorphy, mesomorphy and ectomorphy in athletes playing water, cycling and combat sports were 4.3-4.9-3.4, 4.3-4.8-3.4 and 4.5-5.5-2.9, respectively. The central mesomorph somatotype with a trend towards endomorphy was dominant and varied according to a high muscle-to-fat ratio in elite athletes. Significant ( ≤ 0.001) positive associations between both endomorphy and mesomorphy values and higher body fat percentage as well as lower and upper limb muscle mass were identified. The lower levels of trunk muscle mass were related to athletes' endomorphy and mesomorphy, too. Furthermore, in the athletes' sample under analysis, high-level mesomorphs were prone to consume low-carbohydrate (adjusted odd ratio (AOR) 0.5, 95% confidence interval (CI) 0.2; 0.9) and high-protein diets (AOR 2.5, 95% CI 1.1; 5.5). Contrastingly, the elite athletes with a higher expression of endomorphy were on high-carbohydrate (AOR 5.4, 95% CI 1.1; 8.3) and high-fat diets (AOR 4.6, 95% CI 1.5; 7.1) along with insufficient protein diet (AOR 0.3, 95% CI 0.1; 0.9). Finally, whilst nutrition goals as a mediator can play a significant role in undergoing the maintenance of balance between the optimal body composition for athletic performance and the development of an ecto-mesomorphic somatotype, the elite athletes with higher levels of endomorphy value should be aware of lowering the body fat percentage coupled with dietary fat reduction and higher protein intakes. The findings obtained from the study may serve as an antecedent for a more targeted management of the elite athletes' training process. Somatotyping as an additional assessment method can be successfully deployed in choosing correct coaching techniques, contributing to talent recognition processes or identifying reference morphometric parameters in elite athletes competing in water, cycling and combat sports.
与身体成分特征以及相关运动员的代谢和生物力学效率相关的体质特征可作为重要指标,本研究旨在确定立陶宛精英运动员(n = 189)的体质类型与身体成分和营养状况之间的关系,这些运动员从事水上运动、自行车运动和格斗运动。采用多频(5、50、250、550 和 1000 kHz)生物电阻抗分析(BIA)和 3 天食物记录分析,评估运动员的身体成分、体质类型特征和营养状况。采用线性判别分析(LDA)来预测运动员属于内胚层型、中胚层型或外胚层型,以评估样本的分组。采用多元线性回归和多变量逻辑回归统计分析来探索独立和因变量之间的关联。从事水上运动、自行车运动和格斗运动的运动员的体质类型的体成分中心趋势值分别为 4.3-4.9-3.4、4.3-4.8-3.4 和 4.5-5.5-2.9。中胚层型为主导,且具有向中胚层型发展的趋势,表现为高肌肉与脂肪比例。结果表明,内胚层型和中胚层型值与较高的体脂百分比以及较低和较高的四肢肌肉质量之间存在显著的正相关关系(均≤0.001)。躯干肌肉质量较低也与运动员的内胚层型和中胚层型有关。此外,在所分析的运动员样本中,高水平的中胚层型倾向于摄入低碳水化合物(调整后的比值比(AOR)0.5,95%置信区间(CI)0.2;0.9)和高蛋白饮食(AOR 2.5,95%CI 1.1;5.5)。相比之下,表现出较高内胚层型特征的精英运动员摄入高碳水化合物(AOR 5.4,95%CI 1.1;8.3)和高脂肪饮食(AOR 4.6,95%CI 1.5;7.1),且蛋白质摄入不足(AOR 0.3,95%CI 0.1;0.9)。最后,尽管营养目标作为一种中介可以在维持最佳身体成分以促进运动表现和发展外胚层-中胚层体型之间的平衡方面发挥重要作用,但内胚层型值较高的精英运动员应该注意降低体脂百分比,同时减少饮食中的脂肪摄入并增加蛋白质摄入。该研究结果可为精英运动员的训练过程提供更有针对性的管理依据。体质类型作为一种额外的评估方法,可成功应用于选择正确的教练技术,有助于人才识别过程或确定在水上运动、自行车运动和格斗运动中竞争的精英运动员的参考形态参数。