STRUCTURE OF SOME RELEVANT BIOMEHANICAL PARAMETERS AND RELATIONS WITH SUCCESS IN THE WOMAN S SWIMMING DISCIPLINE 200 METERS FREE STYLE STROKE

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Resaarch in Kinesiology Federation of the Sports Pedagogues of the Republic of Macedonia Vol. 41, No.1, pp. 96-100 STRUCTURE OF SOME RELEVANT BIOMEHANICAL PARAMETERS AND RELATIONS WITH SUCCESS IN THE WOMAN S SWIMMING DISCIPLINE 200 METERS FREE STYLE STROKE (Research note) Natasha Meshkovska Ss Cyril and Methodius University of Skopje, Faculty of Physical Education, Skopje, Macedonia Abstract The research is conducted on a sample of 39 woman, top swimmers, participants in the discipline woman 200 meters freestyle stroke swimming, the swimming competitions of the Olympic games held in Sydney in 2000, which are applied and studied 11 relevant biomechanical variables recorded to swimmers. So applying regression analysis determined the impact biomehanical variables presented as predictorial on variables parameter, which is the final result (FRES). By applying factor analysis, showed that the structure of the biomechanical variables in the latent space and the extracted factors are presented as a system of predictorial variables and applying regression analysis determined the impact of variables parameters. Based on the analysis of the obtained results can be found all seven confirmed hypothesis set, which are treated as expected. Keywodrs: female,olimpics, biomechanical variables, situational varijables, regression analysis, factor analysis, motor abilities, swim coach 96 INTRODUCTION Most striking example of the frequent claims that the sport has emerged as one of the most important segts of society everywhere in the world. Without doubt represented the biggest sporting spectacle ever held, called Olimpic Games, Sydney 2000. It confirms maximum number of participating countries, including our country, the maximum number of visitors to the games as most television viewers. Bearing that in mind, the elemental question is, why is like that? Certainly the answer can be found in the fact that there are few areas of human creativity and action in which the goal is so precisely determined as it s in sport, and that is sport result. The swimming sports that goal is eaven more rigorously defined: Certain sections in a particular discipline a particular technique of swimming to beat for as short time. At the major swimming competitions, especially those such as the Olympics, swimmers (as indeed all the other athletes), perform with a single purpose of these matches to reach their maximum, their best sporting result and achieve the best ranking in their sporcareer. But in practice, it s not possible to manage them all for the simple reason that the top results in swimming are conditional and depend on numerous factors, primarily: individual physical and functional abilities; level of their general and special preparness; the overall conditions for optimal arrangements (facilities and devices; nonstop year-round job, educated and capable professionals) controlled and optimal nutrition; mode of sporting life, desire for continuousprogress and success, and other. In conditions when all these factors into optimal and satisfactory measure being met, as is the case with swimmers, Olympians, who are filled with identical, just there to achieve their best score and ranking, however, the final result is conditioned with flawless execution of a whole range relevant biomechanical parameters, integral part of everyrace and one of these will be subject to our research.. Therfore, one of the most important components during the loug and painstaking process of preparing and matches the swimmers actually represents the identification of the biomechanical parameters, which are an integral part of every training an match. Therefore, by applying the appropriate analysis, and application of specpfichni exercises and methods during the training, can improve and perfect the relevant biomechanical parameters in satni of every race, but at the same time to eliminate possibly improving deficiencies. The actual identification of the relevant biomechanical parameters of each race, is the right information to the coach and swimmer and able to properly analyze the results obtained in each segment of the race, along with frequency and amplitude of strokes. It helps in identifying

METHODS The sample of respondents is defined as the top woman swimmers, participants in the swimming competitions of the Olympic Games held in Sydney in 2000, attended by 39 participants in the discipline woman freestyle stroke swimming, regardless of their age, which means that it is irrelevant. In defining the sample of respondents are not found any other restrictions. The sample of variables composed of 11 biomechanical and 2 morphological. Biomechanical variables are: the final result, seconds (FRES), total swimming speed, m / sec (TOSW) of pure swimming speed, m / sec (PUSW) response time, seconds (REST) startup time, seconds (STTI) time of pure swimming, seconds (TPSW) frequency, number / min (FMIN) length of strokes, m (LESM) index of efficiency (INEF) turning time, seconds (TURT) and finish time, seconds (FINT). In our study, the final result (FRES) is represented as criterion and the other biomechanical and morphological variables such as predictions. For the purposes of our research, for all applied variables, was calculated a basic descriptive statistical indicators: arithmetic environment, standard deviation, coefficient of variability, the minimum and maximum score.the Table 1. Characteristic roots and explained parts of the common variance of the applied system of variables % total Cumul. Cumul. Eigenval Variance Eigenval % 1 6.098178 55.43798 6.098178 55.43798 2 2.402544 21.84131 8.500723 77.27930 interrelationship of applied and studied variables is determined by applying intercorrelation. To determine the relation between criterion variable and applied system prediction variables is Applied linear Regressional Analysis, which will extract the following indicators: coefficient of determination (D); coefficient of multiple correlation (RO); coefficient standard error (SIGMA), and coefficient of partial effects of variables on pradictors criterion variables (BETA). For determining the structure of applied and studied biomechanical variables, factor analysis is applied. To determine the influence of extracted factors on Table 2. Non-rotated mold factor of variables From 1 From 2 Multiple Factor Factors R-Square FRES.919705.954946.999853 TOSW.915597.954753.999849 PUSW.845024.864205.954761 REST.211891.403041.616143 STTI.641952.673055.699834 TPSW.775313.795286.946101 FMIN.076335.488049.664326 LESM.142069.885129.956277 INEF.043320.843095.943165 TURT.651026.714705.882297 FINT.875947.924460.973755 criterion varijables, Applied is regression of analysis in latent space. RESULTS Table 1 presents the characteristics of roots and percentage of variance objasnetata by the significant components in the space of first order. Thus extracted are two important components that explain 77% of common variance. Table 2 presents the results of non-rotated factor mold of the applied system of biomechanical variables which suggests that isolated two factors it can be concluded that the applied system of biomechanical Table 3. Rotated mold factor of variables Factor Factor 1 2 FRES.971385.106567 TOSW.972364.096237 PUSW.918762.141712 REST.309127.554510 STTI.712270.407094 TPSW.882630.127473 FMIN.072539.694829 LESM.102938.935164 INEF.067804.915695 TURT.845402.000457 FINT.959036.068632 97

Table 4. Regresion analysis of variable FRES 100 freestyle stroke woman s swimming in latent space BETA Of BETA B Of B t-test Q (BETA) FACTOR 1.971385.036950 2.9452.112032 26.289.000000 FACTOR 2.106567.036950.3231.112032 2.884.106229 RO = 9.77 DELTA =.952 SIGMA =.219 F = 349.72 Q(F) =.000 variables explains the high percentage of variables in each variable separately. Analysis of Table 3 showing the results of rotated factor mold applied and studied biomechanical variables and projections of the vectors of applied variables on orthogonal rotiranite varimaks factors, allows to determine that the two varimaks factors are extracted. First extracted varimaks factor, determine the variable final result FRES, total swimming speed TOSW, swimming speed (measured in the phase of pure swimming) PURW, start time STTI, ) time of pure swimming TPSW, turning time TURT and finish time FINT, which can be defined as a factor specific speed and agility. Second extracted varimaks factor is determined by the variable response time REST, frequency of strokes per minute FMIN, length of strokes LESM and the index of efficiency INEF, which can be defined as a factor of reaction, frequency, amplitude and efficiency of stroke. By analyzing the table 04, which presents the results of analysis on variable FRES 200 freestyle stroke - woman swimming in latent space, based on the coefficient of multiple correlation (RO =.977) and level of significance of applied prediction. In case, isolated varimaks factors on the outcome of criterion variable can be determinedthat he has a significant impact. The coefficient of determination (DELTA =.952),suggesting that the applied variables, with 95.2% participate in explaining the variance of the criterion variable. Based on the level of significance of partial impact on the outcome of the criteria variable Q (Beta =.000), it simply found statistically significant partial effect on the outcome of the criterion of the first extracted factor: specific speed and agility. CONCLUSION The research was performed on 39 woman subjects, top swimmers, participants in the discipline 200 meters freestyle stroke - woman swimming, the swimming competitions at the Sydney Olympics in 2000. To fulfill the purpose and objectives of the research, applied are 11 biomechanical variables recorded for each participant, and two morphological variables. For successful realization of goals and objectives of the research, applied appropriate statistical methods manifest and latent space (factor and regression 98 analysis). It was found that the success of the 200 meters freestyle in the women s swimming, a statistically significant factor affecting the specific speed and agility. REFERENCES Грујоски, Ж. (1997). Влијанието на неки морфолошки карактеристики, моторички и функционални способности врз успехот на резултатите во плiвањето и ватерполото кај студентите на ФФК во Скопје [The impact of some of the morphological characterisrics of motor and functional abilities, success in swimming and water polo results in students from the Faculty of Phisical Education in Skopje. In Macedonian]. (Unpublished doctoral dissertation, Ss Cyril and Methodius University of Skopje). Скопје: Факултет за физичка култура. Грујоски, Ж. (1985). Влијание на некои морфолошки мерки и флексибилноста на пловноста, хидродинамичноста и брзината на пливањето краул 25 метри. The inpact of some morphological variables and flexibility on navigability,hidro dynamics and swimming speed at 25 meters freestyle technique. In Macedonian]. (Unbublished Master s thesis, Unuversity of Zagreb). Zagreb: Fakultet za fizičku kulturu. Kapus, V. (1982). Struktura vo kanonicni odnosi nekaterih morfoloskih i motorickih dimenzij psihomatičnega statusa mladih plivalcev [Canonical strukture of some morphological and motor dimensions psychosomatic status of young swimmers. In Slovenian] (Unbublished Master s thesis, Unuversity of Zagreb). Zagreb: Fakultet za fizičku kulturu. Kapus, V.(1981). Merski postopki in norme za ocenjivanje uspešnosti v plivanju [Metric procedures and standards for assessing performance in swimming. In Slovenian]. Ljubljana: Visoka šola za telesno kulturo. Kazaković, B. (1984). Relacije nekih indikatora motorickih sposobnosti sa rezultatima u plivanju [Relations between some indicators of motor abilities results in swimming. In Croatian]. (Unbublished Master s thesis, Unuversity of Zagreb). Zagreb: Fakultet za fizičku kulturu. Kurelić, N., Momirović, K., Stojanović, M., Šturm, J., Radojević, Đ., & Viskić-Štalec, N. (1975). Struktura i razvoj motorickih dimenzija omladine [Structure and evaluatin morphological and motor dimensions of youth. In Serbian]. Beograd: Institut za naučna istraživanja Fakulteta za fizičko vaspitanje Univerziteta u Beogradu.

Matković, I. (1972). Validacija testova za selekciju mladih plivaca na bazi kvaliteta brzine [Validation test for the selection of the young swimmers on the basis of the quality of speed. In Serbian]. Unbublished Master s thesis, University of Belgrade). Beograd: Visoka škola za fizičko vaspitanje. Мешковска, Н. (2000). Влијанието на некои биомеханички параметри врз резултатите во индивидуалните дисциплини од женското пливање на ОИ во Атланта 1996 годинa [ Influence of some biomechanical parameters on the results in individual disciplines in women s swimming at the Olympic Games in Atlanta in 96 th. In Macedonian]. (Unpublished Masters thesis, Ss Cyril and Methodius University of Skopje. Скопје: Факултет за физичка култура. Мешковска, Н, Наумовски, М., Поповски, Д. и Поповски, А. (1997). Регресиска анализа на релевантни параметри за успешност во дисциплината 200 делфин - женски на ОИ во Атланта 96 [Regression analysis of relevant parameters on the performance in the 200 meters butterfly Women at the Olympic Games in Atlanta in 96 th. In Macedonian].. Физичка култура, 24(1-2), 257-258. Meshkovska, N. (2012). Structure of some biomehanical parameters and relations with success in the men s swimming discipline 100 meters freestyle strokeat. Activites in physical education and sport, 2(2), 177-180. Поповски, Д., Дуковски, С., Наумов., И. и Соколовски, М. (1980). Некои антропометриски карактеристики кај пливачите од Македонија [Some anthropometric characteristics of swimmers Macedonia. In Macedonian]. Физичка култура, 8(2), 19-35. Поповски, Д., Мешковска, Н., Поповски, А., и Наумовски, М. (1997).Релации меѓу некои релевантни показатели за успешност во дисциплината 100 делфин-машки на ОИ во Атланта 96 [Relations between some relevant indicators for ssucess in the 100 meters butterfly Men Women at the Olympic Games in Atlanta in 96 th. In Macedonian]. Физичка култура, 24(1-2),196-197. Поповски, А., Мешковска, Н., Наумовски, М. и Поповски, Д. (1997). Влијанието на некои релевантни параметри за успешност во дисциплината 100 делфин- женски на ОИ во Атланта 96 [The impact of some of the relevant parameters on the performance in the 100 meters butterfly - Women at the Olympic Games in Atlanta in 96 th. In Macedonian. Физччка култура,24,(1-2), 242-243. Volčanšek, B. (1979). Utjecaj antropometriskih i motorickih dimenzija na rezultate u plivanju [Influence of anthropometric and motor dimensions of the results in swimming. In Croatian]. (Unpublished doctoral dissertation Unuversity of Zagreb). Zagreb: Fakultet za fizičku kulturu. Volčanšek, B. (1980). Relacije nekih mjera fleksibilnosti i eksplozivne snage i rezultata u plivanju 25,50 i 300 kraul tehnikom [Relationas between some measures of the flexibility and explosive power and performance in swimming 25,50 and 300 meters freestyle technique. In Croatian. Kineziologija, 10(1-2), 47-54. СТРУКТУРА НА НЕКОИ РЕЛЕВАНТНИ БИОМЕХАНИЧКИ ПАРАМЕТРИ И РЕЛАЦИI СО УСПЕШНОСТА ВО ПЛИВАЧКАТА ДИСЦИПЛИНА 200 МЕТРИ КРАУЛ Nata{a Me{kovska Univerzitet,,Sv. Kiril i Metodij vo Skopje, Fakultet za fizi~ka kultura, Skopje, Македонија (Istra`uva~ka bele{ka) Apstrakt Истражувањето е извршено на примерок од вкупно 39 `enski, врвни пливачиki, учесни~ki во дисциплината 200 метри краул `ensko пливање, на пливачките натпревари на Олимписките игрi во Сиднеј 2000 година. Применети се и проучувани 11 релевантни биомеханички варијабли, регистрирани кај пливачките. Со примена на регресиска анализа, утврдено е влијанието биомеханнчкнте варијабли, претставени како предикторски, врз критериумската варијабла (конечниот резултат - КРЕЗ). Со примена на факторска анализа, утврдена е структурата на биомеханичките варијабли во латентен простор, а екстрахираните фактори, претставени се како систем на предикторски варијабли. Повторно со примена на регресивна анализа, утврдено е нивното влијание врз критериумската варијабла. Врз основа на анализата на добиените резултати може да се утврди дека се потврдени сите поставени хипотези на истражувањето. 99

Klu~ni zborovi: `eni, Olimpiski igri, биомеханички варијабли, sitacioni varijabli, regresivna analiza, faktorska analiza, физички способности, pliva~ki trener Correspondence: Nataša Meškovska Ss Cyril and Methodius Universiti of Skopje Faculty of Physical Education Železnička nn., 1000 Skopje, Macedonia E-mail: meskochamp@yahoo.com 100