The correlation between biomechanical adaptation changes and teaching effectiveness in adolescents participating in sports dance training during physical education
Abstract
This research delves into the intricate relationship between cellular and molecular adaptations and their implications in educational advancements among adolescents engaged in sports dance routines within the framework of physical education settings. Utilizing a randomized controlled trial involving 120 participants (with 60 in the experimental group and 60 in the control group), the study spanned a 16-week intervention period. The assessment protocols were comprehensive, covering cellular and molecular indicators (biomechanical properties of muscle fibers, cardiac health markers), as well as educational outcomes (deliberate skill acquisition, academic engagement, and innovation in movement expression). Notably, the experimental group showed marked advancements across various parameters: an increase in cardiac health indicators (peak oxygen consumption, VO2max improvement: 21.3%, p < 0.001), enhanced biomechanical properties (muscle elasticity improved by 50%, muscle strength increased by 45%, p < 0.001), and an improvement in motor skills (technical proficiency rose by 41.5%, coordination by 48.3%, p < 0.001). There was a striking link between these cellular and molecular adaptations and the educational outcomes (r = 0.721–0.845, p < 0.01), which was further confirmed by regression analysis indicating cardiac metabolic fitness as a pivotal predictor of technical dexterity (β = 0.384, p < 0.001). The adolescents in the experimental group also exhibited considerable gains in mastering complex movement sequences (56.7% improvement, integration of performance: 55.3%, p < 0.001) and in academic engagement (motivation increased by 46.2%, collaborative interaction: 47.7%, p < 0.001). A pivotal “adaptive window” identified between the 8th and 12th week of training, suggested the most fruitful times for intervention to yield optimal outcomes. These results provide solid evidence that structured sports dance training is beneficial for both biomechanical development and educational success in adolescents, providing valuable guidance for physical education curriculum design and implementation.
References
1. Arefiev V, Tymoshenko O, Malechko T, et al. Methodology of Differentiation of Health-Improving Classes in Physical Education for Primary School Students. International Journal of Applied Exercise Physiology. 2020; 9(7): 134–143.
2. Apanasenko GL, Havruliuk V. Biological degradation of HOMO SAPIENS: ways of counteraction. Basics. Concepts. Methods. Palmarium Academic Publishing. 2014.
3. Bazilevich N. Optimizing physical education of students using crossfit. InterConf, 2021; 55, 353–371. doi: 10.51582/interconf.7-8.05.2021.038
4. Belsky DW, Caspi A, Houts R, et al. Quantification of biological aging in young adults. Proceedings of the National Academy of Sciences, 2015; 112(30). doi: 10.1073/pnas.1506264112
5. Belozerova LM. The biological age determination by blood test. Clinical Gerontology, 2006; 12(3), 50–52.
6. Borovikov VP. A popular introduction to modern data analysis in STATISTICA. Methodology and technology of modern data analysis. Moscow: Goryachaya Liniya-Telecom. 2018.
7. Chainikov PN, Cherkasova VG. Biological age and age changes rate in athletes of playing kinds of sport and untrained persons. Perm Medical Journal, 2017; 34(1), 95–99.
8. Dao Chanh T. The influence of physical activities on biological age parameters of females from 17 to 18 years old. Journal of Sports Medicine and Therapy, 2018. 3(3), 075–079. https://doi.org/10.29328/journal.jsmt.1001030
9. Elhakeem A, Murray ET, Cooper R, et al. Leisure-time physical activity across adulthood and biomarkers of cardiovascular disease at age 60–64: A prospective cohort study. Atherosclerosis, 2018; 269, 279–287. https://doi.org/10.1016/j.atherosclerosis.2017.11.019
10. Garatachea N, Pareja-Galeano H, Sanchis-Gomar F, et al. Exercise Attenuates the Major Hallmarks of Aging. Rejuvenation Research, 2015; 18(1), 57–89. https://doi.org/10.1089/rej.2014.1623
11. Govorukhin AA, Mushty KA. Effect of sports specialization on body composition and anthropometric data in female students of pedagogical universities. Human Sport Medicine, 2020; 20(4), 31–39. https://doi.org/10.14529/hsm200403
12. Guthold R, Stevens GA, Riley LM, Bull FC. Global trends in insufficient physical activity among adolescents: a pooled analysis of 298 population-based surveys with 1.6 million participants. Lancet Child & Adolescent Health, 2020; 4(1), 23–35. https://doi.org/10.1016/s2352-4642(19)30323-2
13. Kang YG, Suh E, Lee JW, et al. Biological age as a health index for mortality and major age-related disease incidence in Koreans: National Health Insurance Service Health screening 11-year follow-up study. Clinical Interventions in Aging, 2018; 13, 429–436. https://doi.org/10.2147/CIA.S157014
14. Kolokoltsev M, Romanova E, Vorozheikin Bochar I, et al. The effect of physical activity on biological age and body composition in 18–19-year-old girls. Journal of Physical Education and Sport, 2022; 22(4), 981–987. https://doi.org/10.7752/jpes.2022.04125
15. Korol SA. Assessment of physical health and physical fitness of students of technical specialties of I course. Pedagogics, Psychology, Medical-Biological Problems of Physical Training and Sports, 2014; 11, 23–29. https://doi.org/10.15561/18189172.2014.1105
16. Levine ME. Modeling the rate of senescence: can estimated biological age predict mortality more accurately than chronological age? Journal of Gerontology a Biological Sciences Medical Sciences, 2013; 68(6), 667–674. https://doi.org/10.1093/gerona/gls233
17. Moore SC, Patel AV, Matthews CE, et al. Leisure Time Physical Activity of Moderate to Vigorous Intensity and Mortality: A Large Pooled Cohort Analysis. PLoS Medicine, 2012; 9(11), e1001335. https://doi.org/10.1371/journal.pmed.1001335
18. Mozolev O. Monitoring of the physical health state among 16–17-year-old female students. Baltic Journal of Health and Physical Activity, 2021; 13(3), 47–54. https://doi.org/10.29359/BJHPA.13.3.06
19. Parsons N, Griffin XL, Achten J, et al. Modelling and estimation of health-related quality of life after hip fracture: A re-analysis of data from a prospective cohort study. Bone Joint Research, 2018; 7(1), 1–5. https://doi.org/10.1302/2046-3758.71.BJR-2017-0199
20. Pavanello S, Campisi J, Tona F, et al. Exploring Epigenetic Age in Response to Intensive Relaxing Training: A Pilot Study to Slow Down Biological Age. International Journal of Environmental Research and Public Health, 2019; 16(17), 3074. https://doi.org/10.3390/ijerph16173074
21. Pryimakov O, Sawczuk M, Prysiazhniuk S, et al. Interrelations of physical state parameters and biological age of students in the process of physical education. Physical Education of Students, 2024; 28(1), 16–28. https://doi.org/10.15561/20755279.2024.0102
22. Pryimakov O, Sawczuk M, Tymoshenko O, Mazurok N. Model characteristics of the structure and interrelations of integral parameters of students’ physical condition. Physical Education of Students, 2023; 27(5), 279–293. https://doi.org/10.15561/20755279.2023.0508
23. Prysiazhniuk S, Tolubko V, Oleniev D, et al. The influence of physical activities on biological age parameters of the first-year female students from the special medical department. Journal of Physical Education and Sport, 2018; 18(2), 561–564. https://doi.org/10.7752/jpes.2018.02081
24. Razmahova SY, Timofeeva OV, Epp TI. Assessment of the biological age of full-time and part-time students. Tomsk State University Journal, 2023; (486), 221–227. https://doi.org/10.17223/15617793/486/24
25. Rebelo-Marques A, De Sousa Lages A, Andrade R, et al. Aging Hallmarks: The Benefits of Physical Exercise. Frontiers in Endocrinology, 2018; 9, 258. https://doi.org/10.3389/fendo.2018.00258
26. Sazanov AV, Sazanov ML, Demina NL, Popova GA. Assessment of the level of physical health and adaptive capabilities of freshmen of a humanitarian university. Modern Problems of Science and Education, 2015; 5, 100–105.
27. Sindeeva LB, Nikolaev VG, Kochetova TF, Kovrigina OA. Component composition of the body as a criteria of biological age. Siberian Medical Review, 2015; 5, 61–65. https://doi.org/10.20333/25000136-2015-5-61-66
28. Timoshenko OV, Ievtushok MV, Malenko LV, Nikol’s’kij AV. Regulation on the Organization of Physical Education and Mass Sports at National Pedagogical Dragomanov University. Kyiv. 2022.
29. Voitenko VP. Health of the healthy. Introduction to Sanology. Kyiv: Health. 1991.
30. World Medical Association. Declaration of Helsinki: Ethical Principles for Medical Research Involving Human Subjects. JAMA, 2013; 310, 2191. https://doi.org/10.1001/jama.2013.281053
31. Zhong X, Lu Y, Gao Q, et al. Estimating Biological Age in the Singapore Longitudinal Aging Study. The Journals of Gerontology: Series A, 2020; 75(10), 1913–1920. https://doi.org/10.1093/gerona/glz146
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