Discriminant Analysis of Anthropometric and Training Variables among Runners of Different Competitive Levels The purpose of this study was to investigate the multivariate profile of various types of Brazilian runners and identify the pattern of different types of runners than the ability of a runner to classify themselves. The sample included 1,235 Brazilian runners of both sexes (492 women; 743 men) with an average age of 37.94 ± 9.46 years. Individual characteristics were determined via an online questionnaire: gender, age, body size (M) and body mass (kg), socioeconomic status and training information (self-classification, time, motivation, running pace, frequency and training volume / week).A multivariate variance analysis was carried out by gender and the discriminant analysis was used to identify between running speed, training time, body mass index and training volume groups such as professional athletes, amateur athletes and recreational awards. For both sexes, the runpo was the variable that the groups discriminated better, followed by BMI and volume / week.The time is not a good indicator to distinguish the rotor types. For both sexes, semiprofessional runners were those who classify themselves themselves, with amateur runners having the highest classification error.
This information can be used to control the long-term training and the selection programs of the athletes and to identify the strengths and weaknesses of the athletes. The whole evaluation is under https://pubmed.ncbi.nlm.nih.gov/33923769/