Childhood Sports And Creativity

Researchers at the University of Texas at Austin Education University have discovered that the sports you participated as a child affected the level of your future creativity.

Associate Professor Matt Bowers found a significant negative correlation between overall creativity and the time of organized sports. He also found a significant positive correlation between overall creativity and the time spent on unstructured sports.

This study consisted of 99 students who are undergraduate and graduate students. Students are from 19 to 33 years old. To determine the relevance of organized sports and creativity, researchers use two tools to measure the collected data. The tools used were the Adult Easy Torrance Test (ATTA) and the child leisure activity questionnaire. The ATTA test evaluates individual creativity by the ability to produce unique and relevant ideas and the ability to modify these ideas in detail. Child leisure questionnaire records exercise and leisure participation rate on specific background.

According to the survey, the difference of 14% of the participants' overall creativity can be attributed to the time spent on organized sports and informal sports. Participants in this study spent about 2,000 hours in the life of their young adults participating in organized sports and their creativity deducted an average of 10 points from 67 points. Participants spent only 1200 hours on informal sports, participants increased by 10 points. Instead of a ten point deduction like a child spending time doing organized sports, creativity

Creativity is important as part of a healthy lifestyle as it allows individuals to express their emotions. It is important to be able to express emotions. Because it is unhealthy to bottle them. This article is not to say that organized sports are bad, but it emphasizes the key to making children creative and expressing what they need.

Through current research, we first describe the natural process of physical participation from childhood to adolescence and show that sports participation in childhood predicts adolescent situation. Early sports specialization was related to grades of puberty, but it did not prevent future participation. The initial sports sampler was unlikely to become other than participants later. Considering that PA is important at every stage of life, these results are concerned about the recent trend, that is, the increasing number of children specializing in earlier sports 15,20. Risks other than participants It is adolescence. Based on previous findings, 4, 41, 42 highlight the importance of early intervention to promote active lifestyle in childhood as it is a powerful determinant of future PA levels .

PURPOSE: We aim to deepen the understanding of the relationship between childhood specialization and puberty physical activity (PA). Its objectives are as follows: (1) Explain the natural process of sports participation for more than 5 years in early exercise samplers or early sports special children; and (2) Physical participation in childhood predicts puberty movement Whether to decide. METHODS: Participants (n = 756, 10-11 years old, at the start of the study) reported that they participated in organized and unorganized PA and conducted a classroom study every 4 months for 5 years. They were classified as early stage motion samplers, early sports experts or non-participants in the first year and were classified as leisure sports participants, performance sports participants or non-participants in 2 to 5 years. The child's sports profile predicts the adolescence possibility as a relative risk

Sampling of childhood exercise has a positive correlation with participation of recreational sports and has nothing to do with adolescence. Early sports specialization did not hinder participation in the future. Children who do not play sports usually do not participate except during adolescence. The data comes to understand the study of custom (MATCH) from youth monitoring activities. MATCH is a longitudinal study of young people in 17 rural or urban schools in New Brunswick, Canada. In the first year (2011), a total of 802 students (51% of qualified students) were recruited for fifth graders or six graders (10 to 11 years). Self-reported data was collected through a questionnaire every 4 months during the academic year. At the time of analysis, five years of data (15 cycles) are available. The MATCH method has been reported in more detail elsewhere 30 Ethical approval has been obtained from the Sherbrooke University Ethics Committee.