Statistical analysis of morphometric indicators and physical readiness variability of students

Keywords: health indicators, motor activity, statistical analysis, variability

Abstract

Aim: To evaluate the interaction of morphometric characteristics with the reactions of the cardiorespiratory system and the indices of physical training during the process of physical exercise training at the university. Material: The students of the first course (n = 91, aged 17-18) took part in the survey. The students were divided into 6 groups. All students were engaged in physical training. All the studied indicators were conditionally divided into two groups. The first group of studies included indicators of physical fitness. The second group was formed by morphofunctional indices. Results: The indicators of the physical preparedness of students demonstrate a wide range and heterogeneity. This should be taken into account when staffing training groups. When using the technique of development of local regional muscular endurance, the values of orthostatic test and the Skibinski index show significant variability. Also high and significant correlation interactions are shown by indicators: manual dynamometry; strength endurance; the values of the Skibinski index. Also, in the orthotropic test, the same effect was observed: age, body length, heart rate. A similar analysis of morphofunctional indices shows significant correlation links: the Skibinski index and orthotropic tests; age and the Skibinski index; weight and body length. Conclusions: from the point of view of physical fitness, groups of sports training (the second group) and hypertensive groups (group 5) proved to be the most stable. A group of volunteers turned out to be the most stable relative to the morphofunctional indicators.

Downloads

Download data is not yet available.

View Counter: Abstract | 51 | times, Article PDF |

Author Biographies

R.A. Gainullin, Bashkir State Medical University
nullin@mail.ru; Lenin St., 3, Ufa, 450000, Russia
A.P. Isaev, South Ural State University
isaevap@susu.ru; 76, Lenin prospekt, Chelyabinsk, Russia, 454080, Russia
V.I. Zalyapin, South Ural State University
nullin@mail.ru; 76, Lenin prospekt, Chelyabinsk, Russia, 454080, Russia
Y.B. Korablyova, South Ural State University
julyaa-74@yandex.ru; 76, Lenin prospekt, Chelyabinsk, Russia, 454080, Russia

References

Abramova TF, Nikitina TM, Kochetkova NI. Morphofunctional criteria-indices of adaptability of general physical training and control of current and long-term adaptation to training. Moscow: Division; 2010. (in Russian)

Baevskij RM. Prediction of conditions on the verge of norm and pathology. Moscow: Medicine; 1979. (in Russian)

Bulich EG, Muravov IV. Human health: Biological basis of vital activity and motor activity in its stimulation. Kiev: Olympic Literature; 2003. (in Russian)

Brekhman II. Valeology: diagnostics, means and practice of providing health. Vladivostok: Dalnauka; 1995. (in Russian)

Gainullin R, Isaev A, Erlikh V, Korablyova Y. External respiration system depending on the previous place of living in Bashkir State Medical University (BSMU) students from different countries. Human. Sport. Medicine. 2017;17(1):14-27.

Gattarov RU. Psychophysiological potential and level of students’ health. Chelyabinsk: SUSU; 2005. (in Russian)

Isaev A, Erlikh V, Ezhov VB. Local and regional muscular endurance in the system of preparation and adaptation of runners and skiers-riders in the conditions of the plain and middle mountains. Chelyabinsk: SUSU; 2014. (in Russian)

Isaev AP, Bykov EV, Khodas VV, Mkrtumian AM, Koroleva IuG. Fundamentals of health building of students. Chelyabinsk: SUSU; 2002. (in Russian)

Sirotin OA, Baturin NA. Systematization of sports selection criteria. Chelyabinsk: CGIFK; 1991. (in Russian)

Sabir'ianov AR. Some features of the variability of the central circulation at rest and in the transition to the orthostatic position. Obrazovanie, zdravookhranenie, fizkul'tura i sport, 2003; 5(6): 95-98. (in Russian)

Sologub EB, Tajmazov VA. Sports genetics. Moscow: Terra-Sport; 2000. (in Russian)

Erlikh VV. Integral reactivity of runners organism in conditions of application of technologies for improving sports performance. Chelyabinsk; 2015. (in Russian)

Barbosa J, Basso L, Seabra A, Prista A, Tani G, Maia JAR, et al. Relationship between physical activity, physical fitness and multiple metabolic risk in youths from Muzambinho's study. European Journal of Sport Science. 2016;16(5):618-23.

Hall TJ, Hicklin LK, French KE. Teacher Compliance and Accuracy in State Assessment of Student Motor Skill Performance. Journal of Teaching in Physical Education. 2015;34(4):588-602.

Hastie PA, Ward JK, Brock SJ. Effect of graded competition on student opportunities for participation and success rates during a season of Sport Education. Physical Education and Sport Pedagogy. 2017;22(3):316-27.

Iermakov SS, Arziutov GN, Jagiello W. Quick training of students to judo techniques. Archives of Budo. 2016;12:15-24.

Iermakov SS, Podrigalo LV, Jagiello W. Hand-grip strength as an indicator for predicting the success in martial arts athletes. Archives of Budo. 2016;12:179-86.

Khudolii OM, Ivashchenko OV, Iermakov SS, Rumba OG. Computer simulation of Junior gymnasts’ training process. Science of Gymnastics Journal, 2016;8(3):215-228.

Kriventsova I, Iermakov S, Bartik P, Nosko M, CynarskiW. (2017). Optimization of students-fencers’ tactical training. Ido Movement for Culture-Journal of Martial Arts Anthropology, 17(3), 21-30. doi:10.14589/ido.17.3.3

Legrain P, Gillet N, Gernigon C, Lafreniere MA. Integration of Information and Communication Technology and Pupils' Motivation in a Physical Education Setting. Journal of Teaching in Physical Education. 2015;34(3):384-401.

Mayorga-Vega D, Montoro-Escano J, Merino-Marban R, Viciana J. Effects of a physical education-based programme on health-related physical fitness and its maintenance in high school students: A cluster-randomized controlled trial. European Physical Education Review. 2016;22(2):243-59.

Miyamoto T, Kamada H, Tamaki A, Moritani T. Low-intensity electrical muscle stimulation induces significant increases in muscle strength and cardiorespiratory fitness. European Journal of Sport Science. 2016;16(8):1104-10.

Molina P, Martinez-Baena A, Villamon M. Physical Education Pedagogy: an analysis of research published in Spanish journals (2005-2014). Physical Education and Sport Pedagogy. 2017;22(4):378-89.

Molina-Garcia J, Queralt A, Estevan I, Sallis JF. Ecological correlates of Spanish adolescents' physical activity during physical education classes. European Physical Education Review. 2016;22(4):479-89.

Osipov AY, Kudryavtsev MD, Iermakov SS , Jagiello W. Topics of doctoral and postdoctoral dissertations devoted to judo in period 2000-2016 – the overall analysis of works of Russian experts Archives of Budo, 2017; 13: 1-10

Ozemek C, Whaley MH, Finch WH, Kaminsky LA. Maximal heart rate declines linearly with age independent of cardiorespiratory fitness levels. European Journal of Sport Science. 2017;17(5):563-70.

Podrigalo LV, Iermakov SS, Jagiełło W. Special indices of body composition as a criterion of somatic development of martial arts practitioners. Arch Budo Sci Martial Art Extreme Sport 2017; 13: 5-12.
Published
2017-10-15
How to Cite
Gainullin, R., Isaev, A., Zalyapin, V., & Korablyova, Y. (2017). Statistical analysis of morphometric indicators and physical readiness variability of students. Physical Education of Students, 21(5), 205-212. https://doi.org/10.15561/20755279.2017.0502
Section
Articles