Parameters of Functional Lateral Organization of Students of Medical University with Different Levels of Physical Fitness
Ivan M. Mazikin , Mikhail M. Lapkin , Mariya V. Akulina , Pavel A. Kulagin
I.P. Pavlov Russian Medical Biological Herald ›› 2022, Vol. 30 ›› Issue (3) : 367 -374.
Parameters of Functional Lateral Organization of Students of Medical University with Different Levels of Physical Fitness
INTRODUCTION: One of the parameters of the functional reserves of the human body is the level of physical fitness, which depends not only on the improvement of various methods used in the education of students in physical culture, but also on the individual characteristics of students, including parameters of their functional lateralization.
AIM: To establish the character of the interrelations between the parameters of functional lateralization and the parameters of physical fitness in medical university students.
MATERIALS AND METHODS: Functional lateralization was determined by both the conventional test methods and by the method of neuro-energo mapping in 120 practically healthy medical university students of male gender aged 18 to 23 years. Physical fitness was assessed in conventional tests for determination of strength fitness, speed-strength fitness, speed endurance. All the data were processed using non-parametric statistical methods and correlation and cluster analysis.
RESULTS: Based on the criterion of physical fitness, young men were divided to two groups: a group with a relatively high level of speed and strength endurance and flexibility (cluster 1, n = 71), and a group with a relatively high level of strength fitness (cluster 1, n = 49). Both the integral (coefficient of lateral organization profile CLOP) and partial parameters (manual and sensory asymmetry) of the functional lateralization were higher in the representatives of cluster 2, with this, the analysis of changes of the permanent potential level (method of neuro-energo mapping) in functional tests showed only an emerging tendency in the differences between the clusters. Also, in cluster 1, weak (r < 0.3, р < 0.05) negative relationships between the parameters of functional lateralization were found in behavioral tests, and between changes in the permanent potential level of the left and right cerebral hemispheres (Td–Ts lead) in load tests. In the representatives of the second cluster, no correlations were found.
CONCLUSION: The results of the performed comprehensive analysis evidence, in the authors’ opinion, the differences in the central-peripheral relationships in the systemic organization of physiological functions that determine non-uniform physical fitness in young men with a relatively high level of speed-strength endurance and flexibility (cluster 1) and those with a relatively high level of strength fitness (cluster 2).
functional lateral organization / level of physical fitness / cluster analysis / neuro-energo mapping
| [1] |
Kurzanov AN, Zabolotskikh NV, Kovalev DV. Funktsional’nyye rezervy organizma. Moscow: Izdatel’skiy dom Akademii Estestvoznaniya; 2016. (In Russ). |
| [2] |
Курзанов А.Н., Заболотских Н.В., Ковалев Д.В. Функциональные резервы организма. М.: Издательский дом Академии Естествознания; 2016. |
| [3] |
Oparina ON, Kochetkova EF. Functional reserves of adaptation. International Research Journal. 2021;(12, pt 1): 32–3. (In Russ). |
| [4] |
Опарина О.Н., Кочеткова Е.Ф. Функциональные резервы адаптации // Международный научно-исследовательский журнал. 2013. № 12 (19), ч. 1. С. 32–33. |
| [5] |
Lyakh VI, Meikson GB, Kofman LB. The Conception of Physical Education for Children and Teenagers. Physical Culture: Upbringing, Education, Training. 1996;(1):5–10. (In Russ). |
| [6] |
Лях В.И., Мейксон Г.Б., Кофман Л.Б. Концепция физического воспитания детей и подростков // Физическая культура: воспитание, образование, тренировка. 1996. № 1. С. 5–10. |
| [7] |
Sermeyev BV. Opredeleniye fizicheskoy podgotovlennosti shkol’nikov. Moscow: Pedagogika; 1994. (In Russ). |
| [8] |
Сермеев Б.В. Определение физической подготовленности школьников. М.: Педагогика; 1994. |
| [9] |
Ovsyannikova MA. To the question of improving the physical education in higher education institution. Uchenye Zapiski Universiteta imeni P.F. Lesgafta. 2014;(12):159–63. (In Russ). doi: 10.5930/issn.1994-4683.2014.12.118.p159-163 |
| [10] |
Овсянникова М.А. К вопросу о повышении эффективности занятий физической культурой в вузах // Ученые записки университета им. П.Ф. Лесгафта. 2014. № 12 (118). С. 159–163. doi: 10.5930/issn.1994-4683.2014.12.118.p159-163 |
| [11] |
Yang C–B., Dong M–K. A Study of the correlation between teachers’ teaching styles and students’ participation motivation in the physical education. Journal of Baltic Science Education. 2017;16(2):199–206. |
| [12] |
Yang C.–B., Dong M.–K. A Study of the correlation between teachers’ teaching styles and students’ participation motivation in the physical education // Journal of Baltic Science Education. 2017. Vol. 16, № 2. Р. 199–206. |
| [13] |
Kabanov YuN. The successful sports activity and functional asymmetry of the brain. Mir Nauki, Kul'tury, Obrazovaniya. 2009;(3):194–201. (In Russ). |
| [14] |
Кабанов Ю.Н. Успешность спортивной деятельности и функциональная асимметрия головного мозга // Мир науки, культуры, образования. 2009. № 3 (15). С. 194–201. |
| [15] |
Lapkin MM, Yakovleva NV, Proshlyakov VD. Study of the psychological and physiological determinants of success training of students in medical university. Personality in a Changing World: Health, Adaptation, Development. 2014;(1):75–83. Available at: http://humjournal.rzgmu.ru/art&id=69. Accessed: 2022 January 19. (In Russ). |
| [16] |
Лапкин М.М., Яковлева Н.В., Прошляков В.Д. Исследование психологических и физиологических детерминант успешности обучения студентов в медицинском вузе // Личность в меняющемся мире: здоровье, адаптация, развитие. 2014. № 1 (4). С. 75–83. Доступно по: http://humjournal.rzgmu.ru/art&id=69. Ссылка активна на 19.01.2022. |
| [17] |
Hernández D, Heinilä E, Muotka J, et al. Physical activity and aerobic fitness show different associations with brain processes underlying anticipatory selective visuospatial attention in adolescents. Brain Research. 2021;1761:147392. doi: 10.1016/j.brainres.2021.147392 |
| [18] |
Hernández D., Heinilä E., Muotka J., et al. Physical activity and aerobic fitness show different associations with brain processes underlying anticipatory selective visuospatial attention in adolescents // Brain Research. 2021. Vol. 1761. P. 147392. doi: 10.1016/j.brainres.2021.147392 |
| [19] |
Anisimova NV. The functional asymmetry assessment by different methods. International Research Journal. 2015;(7, pt 2):70–4. (In Russ). |
| [20] |
Анисимова Н.В. Оценка функциональной асимметрии с использованием разных методических подходов // Международный научно-исследовательский журнал. 2015. № 7 (38), ч. 2. С. 70–74. |
| [21] |
Mazikin IM, Lapkin MM, Voshinina NA, et al. Influence of the brain lateral organization profile on effectiveness of sporting activity of a human and methods of its identification. I.P. Pavlov Russian Medical Biological Herald. 2016;(2):117–26. (In Russ). |
| [22] |
Мазикин И.М., Лапкин М.М., Вощинина Н.А., и др. Влияние профиля латеральной организации головного мозга на результативность спортивной деятельности человека и методы его выявления // Российский медико-биологический вестник имени академика И.П. Павлова. 2016. № 2. С. 117–126. |
| [23] |
Sharova EV, Enikolopova EV, Zaytsev OS, et al. Priyemy issledovaniya i otsenki funktsional’noy asimmetrii mozga cheloveka v norme i patologii. In: Fokin VF, Bogolepova IN, Gutnik B, et al., editors. Rukovodstvo po funktsional’noy mezhpolusharnoy asimmetrii. Moscow: Nauchnyy Mir; 2009. P. 617–27. (In Russ). |
| [24] |
Шарова Е.В., Ениколопова Е.В., Зайцев О.С., и др. Приемы исследования и оценки функциональной асимметрии мозга человека в норме и патологии. В кн.: Фокин В.Ф., Боголепова И.Н., Гутник Б., и др., ред. Руководство по функциональной межполушарной асимметрии. М.: Научный мир; 2009. С. 617–627. |
| [25] |
Bragina NN, Dobrokhotova TA. Funktsional’nyye asimmetrii cheloveka. Moscow; 1981. (In Russ). |
| [26] |
Брагина Н.Н., Доброхотова Т.А. Функциональные асимметрии человека. М.; 1981. |
| [27] |
Fokin VF, Ponomareva NV. The intensity of cerebral energy metabolism: the possibilities of its evaluation by electrophysiological method. Annals of the Russian Academy of Medical Sciences. 2001;(8):38–43. (In Russ). |
| [28] |
Фокин В.Ф., Пономарева Н.В. Интенсивность церебрального энергетического обмена: возможности его оценки электрофизиологическим методом // Вестник РАМН. 2001. № 8. С. 38–43. |
| [29] |
Fokin VF, Ponomareva NV. Energeticheskaya fiziologiya mozga. Moscow: Antidor; 2003. (In Russ). |
| [30] |
Фокин В.Ф., Пономарева Н.В. Энергетическая физиология мозга. М.: Антидор; 2003. |
| [31] |
Matveyev LP. Teoriya i metodika fizicheskoy kul’tury (vvedeniye v teoriyu fizicheskoy kul’tury; obshchaya teoriya i metodika fizicheskogo vospitaniya). 4th ed. Moscow: Sport; 2021. (In Russ). |
| [32] |
Матвеев Л.П. Теория и методика физической культуры (введение в теорию физической культуры; общая теория и методика физического воспитания). 4-е изд. М.: Спорт; 2021. |
| [33] |
Siris PZ. Eksperimental’noye obosnovaniye metodiki razvitiya fizicheskikh kachestv yunykh sportsmenov na osnove primeneniya staticheskikh silovykh uprazhneniy. Moscow: FiS; 2001. (In Russ). |
| [34] |
Сирис П.З. Экспериментальное обоснование методики развития физических качеств юных спортсменов на основе применения статических силовых упражнений. М.: ФиС; 2001. |
| [35] |
Kholodov ZhK, Kuznetsov BC. Teoriya i metodika fizicheskogo vospitaniya i sporta. 2nd ed. Moscow: Akademiya; 2003. (In Russ). |
| [36] |
Холодов Ж.К., Кузнецов B.C. Теория и методика физического воспитания и спорта. 2-е изд. М.: Академия; 2003. |
| [37] |
Rebrova OYu. Statisticheskiy analiz meditsinskikh dannykh. Primeneniye paketa prikladnykh programm STATISTICA. Moscow: MediaSfera; 2002. (In Russ). |
| [38] |
Реброва О.Ю. Статистический анализ медицинских данных. Применение пакета прикладных программ STATISTICA. М.: МедиаСфера; 2002. |
| [39] |
Merkulova MA, Lapkin MM, Zorin RA. The use of cluster analysis and the theory of artificial neural networks to predict the effectiveness of targeted human activity. Science of the Young (Eruditio Juvenium). 2018;6(3):374–82. (In Russ). doi: 10.23888/HMJ201863374-382 |
| [40] |
Меркулова М.А., Лапкин М.М., Зорин Р.А. Использование кластерного анализа и теории искусственных нейронных сетей для прогнозирования результативности целенаправленной деятельности человека // Наука молодых (Eruditio Juvenium). 2018. Т. 6, № 3. С. 374–382. doi: 10.23888/HMJ201863374-382 |
/
| 〈 |
|
〉 |