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The aim of the present study was to estimate the chance of early sports specialization in a school population. A questionnaire on Early Specialization was prepared, and 830 practitioners of different modalities answered demographic data. Participants were recruited from public and private schools. The classification of early specialization was based on selfrating methods and the three-point system. Data analysis was performed using descriptive statistics, chi-square test and multinomial logistic regression analysis. The results showed that the chance for sports specialization by type of school is twice as high for public schools in the moderate (OR= 2.06; 95%CI 1.46--2.74) and high (OR= 1. 96; 95%CI 1.19--3.26) than private schools. The points system classified adolescents into levels: low, medium and high specialization, showing 61.8% (n= 495), 29.5% (n= 235), 8.7% (n= 70) respectively. Participants classified themselves as practicing a single (n= 405, 50.6%), or multiple sports (n= 396, 49.4%) through the self-classification system. Therefore, the chance of a student being specialized early is low, and the age variable was not determinant in influencing the specialization of students. However, sports specialization seems to be influenced by gender and school type. [ABSTRACT FROM AUTHOR]

Introduction: A sedentary lifestyle in adolescents contributes to the occurrence of different diseases, making it relevant to investigate associated factors. Objective: To analyze the association between sedentary lifestyle and socioeconomic status in adolescents from public schools. Materials and Methods: Cross-sectional study, carried out with 347 adolescents enrolled in public high schools in the city of Divinópolis, Minas Gerais. Data collection took place in 2017. Sedentary lifestyle was assessed using the International Physical Activity Questionnaire and socioeconomic status using the criteria of the Brazilian Association of Research Companies. Descriptive and analytical statistics were performed using a multivariate logistic regression model. Results: 347 adolescents participated in the investigation. The mean age of the group was 16.4 ± 1.0 years. Individuals characterized as sedentary constituted 38.9% of the sample, of which 66.7% were female. Having a higher socioeconomic level decreases the probability of being sedentary (OR=0.235; 95%IC: 0,069-0,803; p=0.021), just as being a student in public schools in the southwest region increases this chance (OR=2,68; 95%IC:1,370-5,239; p=0,04). Discussion: The reasons why socioeconomic conditions can influence a sedentary lifestyle are varied. The absence of public spaces can contribute to the increase in sedentary lifestyles in adolescents with lower socioeconomic status. Conclusion: This investigation highlights the importance of public investments in policies to encourage the practice of physical activity for adolescents, especially for females and lower socioeconomic status. [ABSTRACT FROM AUTHOR]