AI Summary & Key Takeaways
AI InsightAs a consequence, while Faculty of Sports Sciences students have generally sedantery lifestyle they are at good fitness levels, as long as Daily usage periods of computer increases weekly stepm numbers decrease thus physical activity levels are influenced in a bad way, and as long as ages increase or sleeping periods decrease television watching periods decrease, and as long as computer usage period increase body mass index is influenced badly and the women step numbers are lower compared to men thus physical activity levels are lower
📌 3 Key Takeaways
Abstract
The study was conducted in order to examine levels of physical activity in terms of some variables of sports science faculty students. This study covered 50 female and 52 male, 102 student in total with a mean age of 22.213.46, attending in faculty of sports science in university of Gazi. To the students who have attended the research study; height, body weight, body mass index, with the pedometer physical activity level measurements and questionnaire form of 10 questions generated by researchers have been applied. Physical activity level has been evaluated with the average of 1 week step numbers. SPSS 23.0 Statistical package was used for analyzing the data. Through the analysis of the data, percentage, frequency, T-test for independent samples, single factorial variance analysis ANOVA , Tukey HSD test, and correlation analysis have been used. According to the findings of the research study; when BMI of students of Faculty of Sports Sciences it can be seen that 86.3% of them have good fitness, 9.8% of them have over weight and 3.9% of them are in obesity level. When physical activity levels are reviewed majority of the students 47.1% have sedantery lifestyle, following this on the second row 23.5% of them are low active individuals and as the least 15.7% are active and highly active individuals. As a consequence, while Faculty of Sports Sciences students have generally sedantery lifestyle they are at good fitness levels, as long as Daily usage periods of computer increases weekly stepm numbers decrease thus physical activity levels are influenced in a bad way, and as long as ages increase or sleeping periods decrease television watching periods decrease, and as long as computer usage period increase body mass index is influenced badly and the women step numbers are lower compared to men thus physical activity levels are lower