Programming of physical education and health-improving classes for the girls aged 12-13 years
| Autor: | Olena Andrieieva, Olena Yarmak, Yaroslav Galan, Olha Shestobuz |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Multi-stage fitness test
medicine.medical_specialty physical condition 030310 physiology Physical fitness Girls Physical Therapy Sports Therapy and Rehabilitation Sample (statistics) Physical strength programming Physical education Proper rate Correlation 03 medical and health sciences 0302 clinical medicine medicine Educación Física y Deportiva lcsh:Sports medicine 0303 health sciences business.industry girls Mathematical statistics Physical condition 030229 sport sciences Anthropometry Physical therapy Programming proper rate business Psychology lcsh:RC1200-1245 |
| Zdroj: | RUA. Repositorio Institucional de la Universidad de Alicante Universidad de Alicante (UA) Journal of Human Sport and Exercise, Vol 15, Iss 3, Pp 525-534 (2020) |
| DOI: | 10.14198/jhse.2020.153.05 |
| Popis: | The research study presents the results of the pedagogical experiment that lasted during 2017-2018 academic year. Altogether 101 girls aged 12-13 years who, for reasons of health, are classified as primary and preparatory medical groups, were involved in the research. The purpose of the research was to determine the appropriate standards of physical fitness of 12-13-year old girls, which provide a stable level of physical health. To achieve this goal, an integrated approach was used using the following research methods: analysis and synthesis of special research and methodological literature and documentary materials; anthropometric methods; determination of the level of physical health; pedagogical testing; physiological methods; methods of mathematical statistics. The article presents the results of correlation relationships of indicators of motor tests and physical health. On their basis, regression equations were estimated to determine the appropriate values of physical fitness of girls aged 12-13 years with an average and below the average level of physical health. Through the use of factor analysis, we identified five statistically independent factors: muscular strength, speed-strength, agility, endurance and speed. The total contribution of these factors to the generalized variance of the sample is 89.6 %. We selected the most informative motor tests: for assessing muscle strength - shoulder flexor dynamometry (r = 0.759 with p < .01), speed-strength qualities – standing long jump (r = 0.800 with p < .01) speed - the difference between the time of shuttle run 3 × 10 m and 30 m (r = 0.808 with p < .01); endurance - relative performance (PWC 150 ) (r = 0.869 with p < .01) and speed - 5 seconds running in the place at the maximum pace (r = 0, 0.860 p < .01). The results have prognostic value for the development of methods of training with a rational correlation of physical activity of various directions for a given age group. |
| Databáze: | OpenAIRE |
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