Variability of shoulder girdle temperature in the initial phase of the snatch in weightlifting

• Autorzy: Kuniszyk-Jóźkowiak Wiesława , Jaszczuk Janusz , Czaplicki Adam , Szyszka Paulina

Identyfikatory

DOI

10.5277/ABB-01423-2019-02

• Języki publikacji: EN

Abstrakty

EN

The identification of activation, synchronization and work of individual muscles in the subsequent stages of lifting weights is interesting for researchers and trainers. Unfortunately, the existing methods of research do not provide such possibilities. Such information could be gathered from infrared measurements as they are non-invasive and can be carried out without the direct involvement of the weightlifter. The purpose of the study was to analyse temperature changes in the shoulder girdle in the first phase of the snatch in weightlifting. Methods: The study involved 11 weightlifters who competed in two weight categories, 94 and 105 kg, during the World University Championships in 2018. The performance of the snatch was recorded using a thermographic camera in three consecutive attempts. We analysed the temperature changes in the left and right shoulder girdles in the two initial stages of the snatch. Statistical analysis of empirical data was performed using linear mixed effects models. Results: Statistically significant temperature increases were found from the moment of gripping the barbell to the moment it was pulled. These effects were different in individual weightlifters, but did not depend on the attempt or the side of the body. Conclusions: Temperature increases in the initial phase of the snatch are most likely the result of activating successive motor units in order to perform the effort needed to pull the barbell and cause it to accelerate. The results obtained confirm that thermography is an effective method of monitoring muscle activity in weightlifting, which may be useful for coaches and athletes.

Słowa kluczowe

EN

infrared thermography; temperature variability; shoulder girdle; weightlifting; snatch

PL

termografia; zmienność temperatury; obręcz barkowa

• Wydawca: Oficyna Wydawnicza Politechniki Wrocławskiej
• Czasopismo: Acta of Bioengineering and Biomechanics
• Rocznik: 2019
• Tom: Vol. 21, no. 3
• Strony: 143--148
• Opis fizyczny: Bibliogr. 30 poz., rys., tab., wykr.

Twórcy

autor

Kuniszyk-Jóźkowiak Wiesława

• Józef Piłsudski University of Physical Education, Faculty of Physical Education and Sport, Department of Biomechanics and Computer Science, Biała Podlaska, Poland

autor

Jaszczuk Janusz

• Józef Piłsudski University of Physical Education, Faculty of Physical Education and Sport, Department of Biomechanics and Computer Science, Biała Podlaska, Poland

autor

Czaplicki Adam

• Józef Piłsudski University of Physical Education, Faculty of Physical Education and Sport, Department of Biomechanics and Computer Science, Biała Podlaska, Poland

autor

Szyszka Paulina

• Józef Piłsudski University of Physical Education, Faculty of Physical Education and Sport, Department of Theory and Technology of Sports Training, Biała Podlaska, Poland

Bibliografia

• [1] ADAMCZYK J.G., OLSZEWSKA M., BOGUSZEWSKI D., BIAŁOSZEWSKI D., REABURN P., Is it possible to create a thermal model of warm-up? Monitoring of the training process in athletic decathlon, Infrared Phys. Techn., 2016, 76, 555–559.
• [2] BARTUZI P., ROMAN-LIUR D.,WIŚNIEWSKI T., The influence of fatigue on muscle temperature, Int. J. Occup. Saf. Ergo., 2012, 18 (2), 233–243.
• [3] BATES D. M., MÄECHLER M., BOLKER B., WALKER S., Fitting linear mixed-effects models using lme4, J. Stat. Softw., 2015, 67 (1), 1–48.
• [4] BAUER J., DEREŃ E., Standardization of infrared thermal imaging in medicine and physiotherapy, Acta Bio-Optic. Inform. Med. Inż. Biomed., 2014, 20, 11–20. [in Polish]
• [5] BLIESE P.D., PLOYHART R.E., Growth modelling using random coefficient models: Model building, testing and illustrations, Organ. Res. Methods, 2002, 5 (4), 362–387.
• [6] CHOLEWKA A., KASPRZYK T., STANEK A., SIEROŃ-STOŁTNY K., DRZAZGA Z., May thermal imaging be useful in cyclist endurance tests? J. Therm. Anal. Calorim., 2016, 123(3), 1973–1979.
• [7] CHUDECKA M.A., LUBKOWSKA A., Temperature changes of selected body’s surfaces of handball players in the course of training estimated by thermovision, and the study of the impact of physiological and morphological factors on the skin temperature, J. Therm. Biol., 2010, 35(8), 379–385.
• [8] CZAPLICKI A., DZIEWIECKI K., MAZUR Z., BLAJER W., Assessment of internal loads in the joints of the lower extremities during the snatch in young weightlifters, Int. J. Struct. Stab. Dy., 2019, 19 (5), DOI: 10.1142/S0219455419410116.
• [9] FERNÁNDEZ-CUEVAS I., BOUZAS MARINS J.C., ARNÁIZ LASTRAS J., GÓMEZ CARMONA P.M., PIÑONOSA CANO S., GARCÍA-CONCEPCIÓN M.A., SILLERO-QUINTANA M., Classification of factors influencing the use of infrared thermography in humans: A review, Infrared Phys. Techn., 2015, 71 (7), 28–55.
• [10] FORMENTI D., LUDWIG N., TRECROCI A., GARGANO M., MICHIELON G., CAUMO A., ALBERTI G., Dynamics of thermographic skin temperature response during squat exercise at two different speeds, J. Therm. Biol., 2016, 59 (7), 58–63.
• [11] JASZCZUK J., WIT A., TRZASKOMA Z., ISKRA L., GAJEWSKI J., Biomechanical criteria of muscle force evaluation in the aspect of top-level athletes selection, Biol. Sport, 1988, 5 (1), 51–64.
• [12] JASZCZUK J., KUNISZYK-JÓŹKOWIAK W., SZYSZKA P., SACHARUK J., Changes in electromyographic signals and muscle temperature during weightlifting training, Proceedings of the International Conference of the Polish Society of Biomechanics, 2016, 5–7, 117–118.
• [13] KRUSTRUP P., FERGUSON R.A., KJӕR M., BANGSBO J., ATP and heat production in human skeletal muscle during dynamic exercise: Higher efficiency of anaerobic than aerobic ATP resynthesis, J. Physiol., 2003, 549 (1), 255–269.
• [14] KUNISZYK-JÓŹKOWIAK W., JASZCZUK J., CZAPLICKI A., Changes in electromyographic signals and skin temperature during standardised effort in volleyball players, Acta Bioeng. Biomech., 2018, 20 (3), 115–122.
• [15] KUZNETSOVA A., BROCKHOFF P.B., CHRISTENSEN R.H.B., lmerTest package: Tests in linear mixed effects models, J. Stat. Softw., 2017, 82 (13), DOI: 10.18637/jss.v082.i13.
• [16] LAHIRI B.B., BAGAVATHIAPPAN S., PHILIP J., Medical applications of infrared thermography: A review, Infrared Phys. Techn., 2014, 55 (4), 221–235.
• [17] MARINS J.C.B., FERNÁNDEZ-CUEVAS I., ARNAIZ-LASTRAS J., FERNANDES A.A., SILLERO-QUINTANA M., Applications of infrared thermography in sports. A review, Rev. Int. Med. Cienc. AC., 2015, 15 (60), 805–824.
• [18] MERLA A., MATTEI P.A., DI DONATO L., ROMANI G.L., Thermal imaging of cutaneous temperature modifications in runners during graded exercise, Ann. Biomed. Eng., 2010, 38 (1), 158–163.
• [19] NEVES E.B., MOREIRA T.R., LEMOS R.J., VILAÇA-ALVES J., ROSA C., REIS V.M., The influence of subcutaneous fat in the skin temperature variation rate during exercise, Res. Biomed. Eng., 2015, 31 (4), 307–312.
• [20] NOVOTNY J., RYBAROWA S., DAN ZACHA D., NOVOTNY J. JR., BERNACIKOVA M., RAMADAN W., Thermographic evaluation of muscle activity after front crawl swimming in young men, Acta Bioeng. Biomech., 2017, 19 (4), 109–116.
• [21] RAUDENBUSH S.W., BRYK A.S., Hierarchical linear models: Applications and data analysis methods, Sage, 2002.
• [22] RYNKIEWICZ M., KORMAN P., ŻUREK P., RYNKIEWICZ T., Application of thermovisual body image analysis in the evaluation of padding effects on kayak ergometer, Med. Sport, 2015, 68 (1), 31–42.
• [23] SHEK D.T.L., MA C.M.S., Longitudinal data analysis using linear mixed models in SPSS: Concepts, procedures and illustrations, Sci. World J., 2011, 11, 42–76.
• [24] SINGER J.D., WILLET J.B., Applied longitudinal data analysis, Oxford Press, 2003.
• [25] SZYSZKA P., JASZCZUK J., SACHARUK J., PARNICKI F., CZAPLICKI A., Relationship between muscle torque and performance in special and specific exercises in young weightlifters, Pol. J. Sport Tourism, 2016, 23 (3), 127–132.
• [26] QUESADA J.I.P., CAPRES F.P., BINI R.R., PALMER R.S., PÉREZ-SORIANO P., CIBRIÁN ORTIZ DE ANDA R.M., Relationship between skin temperature and muscle activation during incremental cycle exercise, J. Therm. Biol., 2015, 48 (2), 28–35.
• [27] URSO A., Weightlifting. Sport for all sports, Tipografia Mancini, 2013.
• [28] WASILEWSKA A., PAUK J., IHNATOUSKI M., Image processing techniques for ROI identification in rheumatoid arthritis patients from thermal images, Acta Mech. Automat., 2018, 12 (1), 49–53.
• [29] WEI G., TIAN F, TANG G., WANG CH., A wavelet-based method to predict muscle forces from surface electromyography signals in weightlifting, J. Bionic Eng., 2012, 9, 48–58.
• [30] ZAÏDI H., TAÏAR R., FOHANNO S., POLIDORI G., The influence of swimming type on the skin-temperature maps of a competitive swimmer from infrared thermography, Acta Bioeng. Biomech., 2007, 9 (1), 47–51.

Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).