Next Article in Journal
Twelve Weeks of Combined Resistance and Aerobic Exercise Improves Cardiometabolic Biomarkers and Enhances Red Blood Cell Hemorheological Function in Obese Older Men: A Randomized Controlled Trial
Next Article in Special Issue
The Use of Wearable Sensors in Human Movement Analysis in Non-Swimming Aquatic Activities: A Systematic Review
Previous Article in Journal
Comparison of Radon and Thoron Concentration Measuring Systems Among Asian Countries
Previous Article in Special Issue
Peripheral Vision Tests in Sports: Training Effects and Reliability of Peripheral Perception Test
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

In-Water and On-Land Swimmers’ Symmetry and Force Production

by
Diogo D. Carvalho
1,2,
Susana Soares
1,2,
Rodrigo Zacca
1,2,
Daniel A. Marinho
3,4,
António J. Silva
4,5,
David B. Pyne
6,
J. Paulo Vilas-Boas
1,2 and
Ricardo J. Fernandes
1,2,*
1
Centre of Research, Education, Innovation and Intervention in Sport, Faculty of Sport, University of Porto, 4200-450 Porto, Portugal
2
Porto Biomechanics Laboratory, University of Porto, 4200-450 Porto, Portugal
3
Department of Sport Sciences, University of Beira Interior, 6201-001 Covilhã, Portugal
4
Research Center in Sport, Health and Human Development, CIDESD, 5001-801 Vila Real, Portugal
5
Department of Sport Sciences, University of Trás-os-Montes and Alto Douro, 5000-801 Vila Real, Portugal
6
Research Institute for Sport and Exercise, University of Canberra, ACT, Canberra 2601, Australia
*
Author to whom correspondence should be addressed.
Int. J. Environ. Res. Public Health 2019, 16(24), 5018; https://doi.org/10.3390/ijerph16245018
Submission received: 31 October 2019 / Revised: 3 December 2019 / Accepted: 5 December 2019 / Published: 10 December 2019
(This article belongs to the Special Issue Health, Exercise and Sports Performance)

Abstract

:
Although performance and biomechanical evaluations are becoming more swimming-specific, dryland testing permits monitoring of a larger number of performance-related variables. However, as the degree of comparability of measurements conducted in-water and on land conditions is unclear, we aimed to assess the differences between force production in these two different conditions. Twelve elite swimmers performed a 30 s tethered swimming test and four isokinetic tests (shoulder and knee extension at 90 and 300°/s) to assess peak force, peak and average torque, and power symmetry index. We observed contralateral symmetry in all the tests performed, e.g., for 30 s tethered swimming and peak torque shoulder extension at 90°/s: 178 ± 50 vs. 183 ± 56 N (p = 0.38) and 95 ± 37 vs. 94 ± 35 N × m (p = 0.52). Moderate to very large direct relationships were evident between dryland testing and swimming force production (r = 0.62 to 0.96; p < 0.05). Swimmers maintained similar symmetry index values independently of the testing conditions (r = −0.06 to −0.41 and 0.04 to 0.44; p = 0.18–0.88). Asymmetries in water seems to be more related to technical constraints than muscular imbalances, but swimmers that displayed higher propulsive forces were the ones with greater force values on land. Thus, tethered swimming and isokinetic evaluations are useful for assessing muscular imbalances regarding propulsive force production and technical asymmetries.

1. Introduction

Biomechanical characteristics are important swimming performance determinants, fundamental in understanding propulsion mechanics in the highly specific hydrodynamic environment. Analyzing swimmers’ force production should be a priority in their training control and research, as an effective propulsion is fundamental for competitive success [1,2,3]. For this purpose, tethered swimming has been one of the most frequently used methods, yielding substantial associations between tethered forces and swimming performance in sprint events [4,5,6]. These studies underpin the notion that movements used in training and testing should be mechanically similar to those used in competition [7].
Complementarily, it is known that similar force application from both right and left body sides can positively affect swimming performance, particularly by reducing drag, promoting better body alignment and lowering intracycle velocity variations [8]. In fact, ~96% of the human population present a perceptible asymmetry level [9], which may negatively influence exercise performance, mainly in cyclic and continuous sports [10,11]. Since elite swimmers spend a huge number of hours in-water and land workouts, they are more vulnerable to overuse injuries, particularly if they present muscular and technical imbalances [12]. Furthermore, if hydrodynamic and inertial limitations are also considered, swimmers need to be as symmetrical as possible when propelling through the water.
The isokinetic dynamometer is the laboratorial gold standard to evaluate asymmetries and imbalances in force production, permitting analysis of specific muscle groups and movements [12,13,14]. However, even if its use is common in muscular symmetry analysis, it does not allow evaluating specific swimming movements. For this reason, tethered swimming has been conducted to quantify and analyze both force production and asymmetries during swimming [11,15,16]. Surprisingly, it is unclear if measurements obtained from tethered swimming and isokinetic dynamometer are related, and whether swimmers generate a similar level of force production symmetry in-water and dryland conditions.
Using an innovative approach, with closer approximation to real-world swimming characteristics, of assessing shoulder and knee extension force values (hand placement, angular velocities, isolated and combined analysis), the aim of the current study was to determine the degree of association between tethered swimming peak propulsive forces and dry land isokinetic torque and power. We also sought to determine whether there is a similar contralateral symmetry regarding force production in both the above referred conditions and the nature of their symmetry index (SI) relationships. Finally, we determined whether swimming symmetry can be identified by using only the first 10 upper limb cycles during tethered swimming.

2. Materials and Methods

2.1. Participants

Twelve elite swimmers (seven males and five females) voluntarily participated in the current study, presenting the following physical and competitive characteristics (respectively): 20.9 ± 3.4 vs. 19.0 ± 2.2 years of age, 77.1 ± 8.9 vs. 59.6 ± 5.0 kg of body mass, 1.82 ± 0.04 vs. 1.69 ± 0.06 m of height, 23.3 ± 2.1 vs. 20.8 ± 1.8 of body mass index and 841 ± 37 vs. 816 ± 38 Fédération Internationale De Natation points of best competitive performance. Eight swimmers presented right lateral preference and four were left-handed. The experimental moment comprised a tethered swimming test in an indoor 25 m pool and four laboratory isokinetic evaluations, performed in randomized order on consecutive days. Subjects were familiarized with the two apparatus, informed about the purpose of the evaluations and any known risks, providing individual consent for participation in accordance with the local research ethics committee (CEFAD 28 2019) and Declaration of Helsinki.

2.2. Design and Procedures

After a 1000 m low-to-moderate intensity warm-up, swimmers performed a 30 s maximal front crawl (n = 6) and backstroke (n = 6) tethered swimming test using a belt attached to a steel cable (5 m length and 5.7° angle with the water surface) [17]. Its beginning and end were indicated by an acoustic signal, with swimmers adopting a horizontal position with the cable fully extended just before the starting signal. The data collection only commenced after the first upper limbs cycle was completed. A load-cell connected to a Globus Ergometer data acquisition system (Globus, Codognè, Italy) obtained force measurements at a rate of 100 Hz [5]. Tests were recorded using one surface video camera (50 Hz, Sony® Handycam HDR-CX160E, Tokyo, Japan) placed in the sagittal plane, with video acquisition synchronized with force data to better identify the beginning and end of each upper limb cycle.
In isokinetic dynamometer (Biodex System 4-Biodex Medical Systems, Inc., Carrollton, TX, USA), after freely warmed-up without constraint of velocity, swimmers performed a shoulder and knee extension/flexion (representing the front crawl and backstroke upper limb action with 180° range of motion and leg movement during the lower limb actions with 90° range of motion, respectively) at 90 and 300°/s and a sampling rate of 100 Hz. These angular velocities represented a low (used for construct ratios of forces in a clinical point-of-view) and a high (similar to competitive swimming). Swimmers were positioned in the dynamometer chair with a forearm supination similar to hand positioning during swimming (Figure 1). The tests consisted in five sub-maximal repetitions at each pre-defined angular velocity, 10 maximal repetitions with 90 s and 10 min of rest permitted between side trials and movements, respectively. Swimmers were instructed to generate maximal one-way force during the phase of knee and shoulder extension to form a more realistic simulation of the aquatic environment motion.

2.3. Measures

Tethered swimming peak forces of each upper limb action were extracted from individual force vs. time curves synchronized with the video recording to associate each peak force value to one upper limb cycle body side [16], involving a two-stage process; (i) characterizing the initial 10 upper limb cycles, i.e., the time duration associated with changings in energetic system dominance and muscle recruitment [18,19]; (ii) characterizing all upper limbs cycles performed during the entire 30 s, representing the gold standard test to quantify the anaerobic capacity, the Wingate test [16,20]. During each isokinetic evaluation, the peak torque (the highest value observed in the 10 repetitions), mean peak torque (mean of the 10 peaks obtained) and mean power values were determined. Shoulder and knee isokinetic force variables were analyzed individually and in combination to represent the group muscles used during front crawl and backstroke swimming.
SI was calculated for all force variables according to the following equation:
SI (%) = (preferred − nonpreferred) × [0.5 × (preferred − nonpreferred)] ^ (−1) × 100
in which values between −10 < SI < 10% and −10 > SI > 10% indicate symmetry and asymmetry, respectively [21]. SI values were made positive, obtaining means without a zero-central tendency to compute absolute asymmetries between tethered swimming and isokinetic dry land testing. This approach permitted comparisons of overall level of asymmetry values irrespective of the preferred side.

2.4. Statistical Analysis

Descriptive analyses (mean and standard deviation) were obtained for all variables and data checked for distribution normality with the Shapiro-Wilk test. Spearman correlation coefficients were calculated between isokinetic and tethered swimming force related variables and correspond SI. Intraclass correlation coefficients (ICC) were assessed to quantify the degree of reliability between repetitions of each body side in isokinetic and tethered swimming. Correlations were interpreted as follows [22]: 0–0.25 (little), 0.26–0.49 (weak), 0.50–0.69 (moderate), 0.70–0.89 (strong) and 0.90–1.0 (very strong). The Wilcoxon signed-rank test was used to compare the forces produced by the preferred and the non-preferred body side and the mean absolute SI obtained with isokinetic and tethered swimming tests.
Effect size was calculated using the ratio of z score and square root of the number of observations, and interpreted as 0–0.09 (trivial), 0.1–0.29 (small), 0.3–0.49 (medium), 0.5–0.69 (large) and ≥0.7 (very large) [23]. A Bland-Altman plot analysis [24] was also performed to characterize the differences between SI of tethered swimming and isokinetic evaluations, and between SI of the first 10 upper limb cycles and 30 s in the tethered swimming (the last one used as reference method). A p ≤ 0.05 level of significance was accepted.

3. Results

Tethered swimming and force production isokinetic variables were moderately to very largely directly related, with correlation values ranging from r = 0.62 to 0.96. The peak torque, mean torque, mean power and mean peak forces values of the first 10 upper limb cycles and 30 s of front crawl and backstroke tethered swimming, for both preferred and nonpreferred body sides, are presented in Table 1. When analyzed as combined isokinetic forces, the relationships ranged from r = 0.65 to 0.94. In most of the evaluated variables, the non-preferred side presented higher absolute correlations than the preferred side. Values obtained during the first 10 s of tethered swimming presented similar correlation to the isokinetic forces when compared to the 30 s data.
No substantial differences were evident between SI of isokinetic and tethered swimming force production or between first 10 upper limb cycles and 30 s of tethered swimming (Figure 2). Only in two swimmers, an asymmetrical force production in tethered swimming (SI > 10%) was identified. However, in the isokinetic evaluations, eight swimmers presented asymmetrical force production (at least in one of the studied variables), reduced to three swimmers when the shoulder and knee extension combined variables were evaluated. Absolute values of SI obtained from tethered swimming and isokinetic force variables showed no substantial differences, but a high variability was evident between subjects (Figure 2). The correlation analyses showed that only the SI of 10 upper limb cycles had a moderate inverse relationship with SI of power of knee extension at 300°/s (r = −0.66) and combined average power SI (r = −0.60). No substantial relationships in the other SI (r = −0.06 to −0.41 and 0.04 to 0.44 with p = 0.18 to 0.88).
Swimmers showed a similar force production between preferred and nonpreferred body sides (both in tethered front crawl and backstroke swimming) and isokinetic tests (Table 2; p = 0.18 to 0.97). In the tethered swimming and isokinetic tests, intraclass correlation between repetitions for both preferred and nonpreferred side were excellent (ICC: 0.989 to 0.997; 95% CI: 0.963 to 0.999 with p < 0.001). Agreement analyses between SI’s of isokinetic evaluations and 30 s tethered swimming presented a bias standard deviation >9% and the 95% limits of agreement higher than 19%, demonstrating that the SI were independent from each other (see Table 2). The SI of the first 10 upper limb cycles and 30 s in tethered swimming test showed a very strong relationship (r = 0.99). In addition, comparison between the SI calculated with the first 10 upper limb cycles and 30 s of tethered swimming showed a good agreement with a bias of −0.7 ± 1.2% and 95% limits of agreement of −3.0 and 1.6%, resulting in a consistent behavior of SI during the 30 s effort.

4. Discussion

Our results indicate moderate to very strong relationships between in-water and dryland conditions force production, which supports the first hypothesis that forces produced in land condition are closely related with the capability to apply force in-water. We also identified similar force production between preferred and nonpreferred body sides, showing that elite swimmers, as a consequence of their training, exhibit upper and lower body symmetry. Our swimmers presented similar but independent contralateral symmetry during swimming and dryland testing. The very strong relationship between isokinetic and tethered forces supports the assertion that isokinetic ones are related to swimming performance and reinforced that the 30 s tethered swimming test is a good predictor of swimming performance [6,17].
The above outcomes are in accordance with the study that reported an inverse relationship between isokinetic knee extension force and mono-fin swimming 100 m time [25]. However, some studies indicated that isokinetic force variables were not associated with swimming performance [26,27,28]. These last studies used dryland tests that employed different movements types than those used in swimming (different muscular groups and patterns). Regarding not only isokinetic variables, other studies showed strong relationships (e.g., r = 0.78–0.94) between force variables in dryland exercises (bench press and squad jumps) and force produced during tethered swimming [29,30]. Taken together, these data reinforce the notion that forces produced in dryland testing can be transferred to water when patterns of movement angular velocities and amplitude are similar.
The biomechanical asymmetries are useful both for clinical and research purposes, permitting the characterization of the functional imbalances between contralateral limbs [31]. Theoretically, the front crawl and backstroke intracycle velocity variation can be enhanced by this functional imbalance, increasing the energy cost of swimming [32,33] and deteriorating body postures with increasing hydrodynamic drag [10] at a given swimming speed. The current results demonstrate that elite swimmers are more symmetrical than lower level swimmers (data from [16]), since we did not observe considerable differences between the force production of contralateral body sides.
However, the mean values of the SI need to be considered with caution, as asymmetry measurements are direction-dependent and a tendency for both preferred and non-preferred predominance will make the mean values tend towards zero. Therefore, comparing absolute values between conditions (in-water and dryland) is preferred. The similar SI in-water and in-dry land conditions observed in this study likely reflects the technical training to build a balanced and efficient swimming technique. This process typically involves a combination of pool-based dryland training enhance bilateral symmetry and muscular proficiency.
Despite similar tethered and isokinetic force production SI, the correlation analyses show the few substantial relationships between almost all tethered and isokinetic SI. The agreement analyses presented a bias of ~10 and 95% limits of agreement ~20% indicating why SI values were not underpinning the change of SI direction in almost all swimmers evaluated. These data indicate that during swimming, one upper limb is typically used for propulsion and the other for control and support. In addition, it appears that the preferred upper limb is the limb of control and support during swimming, while the non-preferred limb is used mainly for propulsion. This pattern of limb control and propulsion explains the higher correlation values on the non-preferred body side.
This outcome highlights that the explanations of asymmetry observed in-water are more related to swimming technique adaptations consequent of the aquatic environment and to a lesser extent to muscular imbalances [34]. We expected changes on SI across 30 s test in response to the change of energetic system and muscular recruitment [18,19]. However, when examined the force (a)symmetry development along the maximal test, very strong direct relationships (r = 0.98) and similar values between the SI from the first 10 upper limb cycles and 30 s where found. The behavior of SI during the first 10 cycles showed high agreement with the 30 s data, enhancing the capability of 10 cycles to indicate likely patters during the overall effort. These results can be justified by the adaptations of swimming technique during the test being more important than the capacity of force production for SI behavior. However, this outcome is contrary to that shown in a previous study [16] using only front crawl tethered swimming in low-level swimmers. These outcomes indicate that high-level swimmers can maintain symmetry during the effort even when the absolute force produced is diminishing.

5. Conclusions

There is a direct relationship between forces produced in isokinetic and tethered swimming conditions for both front crawl and backstroke. We also confirmed similar force production symmetry in these swimming techniques. Coaches and swimmers may use isokinetic and tethered swimming evaluations to determine muscular and swimming technical imbalances, and track training-induced changes in these measures within and between swimming seasons. The first 10 cycles in tethered swimming should be sufficient to define the behavior/patterns of the symmetry index during an all-out testing.

Author Contributions

Conceptualization, D.D.C., J.P.V.-B. and R.J.F.; formal analysis, D.D.C. and R.Z.; funding acquisition, D.A.M., A.J.S., J.P.V.-B. and R.J.F.; investigation, D.D.C., S.S. and R.Z.; methodology, D.D.C., J.P.V.-B. and R.J.F.; resources, D.A.M., A.J.S., J.P.V.-B. and R.J.F.; supervision, D.B.P., J.P.V.-B. and R.J.F.; visualization, D.D.C., D.A.M., A.J.S., D.B.P., J.P.V.-B. and R.J.F.; writing—original draft preparation, D.D.C. and R.J.F.; writing—review and editing, D.D.C., D.A.M., A.J.S., D.B.P., J.P.V.-B. and R.J.F.

Funding

This research was funded by Portuguese Science and Technology Foundation: SFRH/BD/138876/2018.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Sharp, R.L.; Troup, J.P. Relationship between power and sprint freestyle. Med. Sci. Sports Exerc. 1982, 14, 53–56. [Google Scholar] [CrossRef] [PubMed]
  2. Girold, S.; Calmels, P.; Maurin, D.; Milhau, N.; Chatard, J.C. Assisted and resisted sprint training in swimming. J. Strength Cond. Res. 2006, 20, 547. [Google Scholar] [PubMed]
  3. Ribeiro, J.; Figueiredo, P.; Morais, S.; Alves, F.; Toussaint, H.; Vilas-Boas, J.P.; Fernandes, R.J. Biomechanics, energetics and coordination during extreme swimming intensity: Effect of performance level. J. Sports Sci. 2017, 35, 1614–1621. [Google Scholar] [CrossRef] [PubMed]
  4. Yeater, R.A.; Martin, R.B.; White, M.K.; Gilson, K.H. Tethered swimming forces in the crawl, breast and back strokes and their relationship to competitive performance. J. Biomech. 1981, 14, 527–537. [Google Scholar] [CrossRef]
  5. Morouço, P.G.; Marinho, D.A.; Keskinen, K.L.; Badillo, J.J.; Marques, M.C. Tethered swimming can be used to evaluate force contribution for short-distance swimming performance. J. Strength Cond. Res. 2014, 28, 3093–3099. [Google Scholar] [CrossRef]
  6. Santos, K.B.; Bento, P.C.; Pereira, G.; Rodacki, A.L. The relationship between propulsive force in tethered swimming and 200-m front crawl performance. J. Strength Cond. Res. 2016, 30, 2500–2507. [Google Scholar] [CrossRef]
  7. Barbosa, T.M.; Bragada, J.A.; Reis, V.M.; Marinho, D.A.; Carvalho, C.; Silva, A.J. Energetics and biomechanics as determining factors of swimming performance: Updating the state of the art. J. Sci. Med. Sport 2010, 13, 262–269. [Google Scholar] [CrossRef]
  8. Sanders, R.H.; Thow, J.; Fairweather, M. Asymmetries in swimming: Where do they come from. J. Swim. Res. 2011, 18, 1–11. [Google Scholar]
  9. Annett, M. Handedness and cerebral dominance: The right shift theory. J. Neuropsychiatry Clin. Neurosci. 1998, 10, 459–469. [Google Scholar] [CrossRef]
  10. Sanders, R.; Thow, J.; Alcock, A.; Fairweather, M.; Riach, I.; Mather, F. How can asymmetries in swimming be identified and measured? Available online: https://swimmingcoach.org/journal/manuscript-sanders-vol19.pdf (accessed on 31 October 2019).
  11. Toubekis, A.G.; Gourgoulis, V.; Tokmakidis, S.P. Tethered swimming as an evaluation tool of single arm-stroke force. In Biomechanics and Medicine in Swimming XI; Norwegian School of Sport Science: Oslo, Norway, 2010; pp. 296–299. [Google Scholar]
  12. Batalha, N.; Marmeleira, J.; Garrido, N.; Silva, A.J. Does a water-training macrocycle really create imbalances in swimmers’ shoulder rotator muscles? Eur. J. Sport Sci. 2015, 15, 167–172. [Google Scholar] [CrossRef] [Green Version]
  13. Rupp, S.; Berninger, K.; Hopf, T. Shoulder problems in high level swimmers-impingement, anterior instability, muscular imbalance? Int. J. Sports Med. 1995, 16, 557–562. [Google Scholar] [CrossRef] [PubMed]
  14. Secchi, L.L.; Muratt, M.D.; Ciolac, E.G.; Greve, J. Knee muscles isokinetic evaluation in short distance elite swimmers: A comparison between symmetric and asymmetric swimming styles. Isokinet. Exerc. Sci. 2011, 19, 261–264. [Google Scholar] [CrossRef]
  15. Dos Santos, K.B.; Pereira, G.; Papoti, M.; Bento, P.C.B.; Rodacki, A. Propulsive force asymmetry during tethered swimming. Int. J. Sports Med. 2013, 34, 606–611. [Google Scholar] [CrossRef] [PubMed]
  16. Morouço, P.G.; Marinho, D.A.; Fernandes, R.J.; Marques, M.C. Quantification of upper limb kinetic asymmetries in front crawl swimming. Hum. Mov. Sci. 2015, 40, 185–192. [Google Scholar] [CrossRef]
  17. Morouço, P.; Keskinen, K.L.; Vilas-Boas, J.P.; Fernandes, R.J. Relationship between tethered forces and the four swimming techniques performance. J. Appl. Biomech. 2011, 27, 161–169. [Google Scholar] [CrossRef] [Green Version]
  18. Gastin, P. Energy system interaction and relative contribution during maximal exercise. Sport Med. 2001, 31, 725–741. [Google Scholar] [CrossRef]
  19. Soares, S.M.; Fernandes, R.J.; Machado, J.L.; Maia, J.A.; Daly, D.J.; Vilas-Boas, J.P. Assessment of Fatigue Thresholds in 50-m All-Out Swimming. Int. J. Sport Physiol. Perform. 2014, 9, 959–965. [Google Scholar] [CrossRef]
  20. Bar-Or, O. The Wingate anaerobic test: An update on methodology, reliability and validity. Sports Med. 1987, 4, 381–394. [Google Scholar] [CrossRef]
  21. Robinson, R.O.; Herzog, W.; Nigg, B.M. Use of force platform variables to quantify the effects of chiropractic manipulation on gait symmetry. J. Manip. Physiol. Ther. 1987, 10, 172–176. [Google Scholar]
  22. Blikman, T.; Stevens, M.; Bulstra, S.K.; Van den Akker-Scheek, I.; Reininga, I.H. Reliability and validity of the Dutch version of the International Physical Activity Questionnaire in patients after total hip arthroplasty or total knee arthroplasty. J. Orthop. Sports Phys. Ther. 2013, 43, 650–659. [Google Scholar] [CrossRef] [Green Version]
  23. Cohen, J. Statistical Power Analysis for the Behavioral Sciences, 2nd ed.; Routledge Academic: New York, NY, USA, 1988. [Google Scholar]
  24. Bland, J.M.; Altman, D. Statistical methods for assessing agreement between two methods of clinical measurement. Lancet 1986, 327, 307–310. [Google Scholar] [CrossRef]
  25. Kunitson, V.; Port, K.; Pedak, K. Relationship between isokinetic muscle strength and 100 meters finswimming time. J. Hum. Sport Exerc. 2015, 10. [Google Scholar] [CrossRef] [Green Version]
  26. Miyashita, M.; Kanehisa, H. Effects of isokinetic, isotonic and swim training on swimming performance. In Biomechanics and Medicine in Swimming IV; Spiegel Online GmbH: Hamburg, Germany, 1983; pp. 329–334. [Google Scholar]
  27. Reilly, M.F.; Kame, V.D.; Termin, B.; Tedesco, M.E.; Pendergast, D.R. Relationship between freestyle swimming speed and stroke mechanics to isokinetic muscle function. J. Swim. Res. 1990, 6, 16–21. [Google Scholar]
  28. Dalamitros, A.A.; Manou, V.; Christoulas, K.; Kellis, S. Knee muscles isokinetic evaluation after a six-month regular combined swim and dry-land strength training period in adolescent competitive swimmers. J. Hum. Kinet. 2015, 49, 195–200. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  29. Morouço, P.; Neiva, H.; González-Badillo, J.J.; Garrido, N.; Marinho, D.A.; Marques, M.C. Associations between dry land strength and power measurements with swimming performance in elite athletes: A pilot study. J. Hum. Kinet. 2011, 29, 105–112. [Google Scholar] [CrossRef]
  30. Loturco, I.; Barbosa, A.C.; Nocentini, R.K.; Pereira, L.A.; Kobal, R.; Kitamura, K.; Nakamura, F.Y. A correlational analysis of tethered swimming, swim sprint performance and dry-land power assessments. Int. J. Sports Med. 2016, 37, 211–218. [Google Scholar] [CrossRef] [Green Version]
  31. Evershed, J.; Burkett, B.; Mellifont, R. Musculoskeletal screening to detect asymmetry in swimming. Phys. Ther. Sport 2014, 14, 33–38. [Google Scholar] [CrossRef]
  32. Figueiredo, P.; Seifert, L.; Vilas-Boas, J.P.; Fernandes, R.J. Individual profiles of spatio-temporal coordination in high intensity swimming. Hum. Mov. Sci. 2012, 31, 1200–1212. [Google Scholar] [CrossRef]
  33. Gonjo, T.; McCabe, C.; Sousa, A.; Ribeiro, J.; Fernandes, R.J.; Vilas-Boas, J.P.; Sanders, R. Differences in kinematics and energy cost between front crawl and backstroke below the anaerobic threshold. Eur. J. Appl. Physiol. 2018, 118, 1107–1118. [Google Scholar] [CrossRef]
  34. Seifert, L.; Chollet, D.; Allard, P. Upper limb coordination symmetry and breathing effect in front crawl. Hum. Mov. Sci. 2005, 24, 234–256. [Google Scholar] [CrossRef]
Figure 1. Initial and final positioning of the hand (white circle) during upper limb simulated action isokinetic test ((a) and (b) panels, respectively).
Figure 1. Initial and final positioning of the hand (white circle) during upper limb simulated action isokinetic test ((a) and (b) panels, respectively).
Ijerph 16 05018 g001
Figure 2. Mean and SD values of absolute symmetry index of tethered swimming (A), upper limb simulated action (90°/s and 300°/s: B and C), knee extension (90°/s and 300°/s: D and E), combined upper limb simulated action and knee extension (90°/s and 300°/s: F and G).
Figure 2. Mean and SD values of absolute symmetry index of tethered swimming (A), upper limb simulated action (90°/s and 300°/s: B and C), knee extension (90°/s and 300°/s: D and E), combined upper limb simulated action and knee extension (90°/s and 300°/s: F and G).
Ijerph 16 05018 g002
Table 1. Correlation coefficients between tethered swimming and isokinetic variables for preferred and non-preferred upper body sides. All associations were significant (p < 0.05).
Table 1. Correlation coefficients between tethered swimming and isokinetic variables for preferred and non-preferred upper body sides. All associations were significant (p < 0.05).
Isokinetic VariablesFront Crawl and Backstroke Tethered Swimming
10 Upper Limb Actions30 s
PreferredNonpreferredPreferredNonpreferred
Upper limb simulated action
Peak torque 90°/s0.830.920.820.90
Mean peak torque 90°/s0.800.940.790.91
Mean power 90°/s0.800.960.790.93
Peak torque 300°/s0.620.670.660.66
Mean torque 300°/s0.640.720.680.71
Mean power 300°/s0.810.940.830.92
Knee extension
Peak torque 90°/s0.680.900.680.81
Mean peak torque 90°/s0.800.900.780.84
Mean power 90°/s0.790.910.780.85
Peak torque 300°/s0.730.920.710.86
Mean torque 300°/s0.720.930.690.89
Mean power 300°/s0.710.960.690.94
Combined
Peak torque 90°/s0.790.910.780.85
Peak torque 300°/s0.690.840.720.84
Mean peak torque 90°/s0.790.940.780.89
Mean peak torque 300°/s0.650.870.690.87
Mean power 90°/s0.830.920.830.87
Mean power 300°/s0.760.830.720.85
Table 2. Isokinetic and tethered swimming variables mean ±SD for preferred and nonpreferred body side and effect size. Bias and 95% limits of agreement of estimations between symmetry indexes of isokinetic evaluations and 30 s tethered swimming.
Table 2. Isokinetic and tethered swimming variables mean ±SD for preferred and nonpreferred body side and effect size. Bias and 95% limits of agreement of estimations between symmetry indexes of isokinetic evaluations and 30 s tethered swimming.
VariablesPreferredNonpreferredEffect SizeBias95% CI
Upper limb simulated action
Peak torque 90°/s (N × m)95.10 ± 36.9693.89 ± 35.14−0.141.5 ± 13.4−25–28
Mean peak torque 90°/s ( N × m)87.78 ± 33.9286.19 ±31.72−0.151.9 ± 10.8−19–23
Mean power 90°/s (W)99.72 ± 38.4698.47 ± 36.89−0.13−2.0 ± 9.8−17–21
Peak torque 300°/s (N × m)100.92 ± 23.76105.22 ± 22.93−0.28−1.8 ± 16.9−35–31
Mean peak Torque 300°/s ( N × m)93.63 ± 23.4695.64 ± 20.50−0.03−0.6 ± 18.5−37–36
Mean power 300°/s (W)186.55 ± 90.21192.69 ± 86.71−0.11−1.6 ± 12.7−26–23
Knee extension
Peak torque 90°/s (N × m)185.60 ± 50.06186.86 ± 50.30−0.080.6 ± 10.7−20–22
Mean peak torque 90°/s ( N × m)171.25 ± 47.09170.72 ± 44.29−0.031.0 ± 10.5−20–22
Mean power 90°/s (W)173.51 ± 51.67177.41 ± 47.48−0.16−0.6 ± 10.6−21–20
Peak torque 300°/s (N × m)124.36 ± 39.95127.34 ± 38.57−0.27−0.9 ± 11.8−24–22
Mean peak torque 300°/s ( N × m)114.33 ± 36.98116.48 ± 35.02−0.18−0.7 ± 12.7−26–24
Mean power 300°/s (W)306.94 ± 110.05307.93 ± 91.57−0.02−0.1 ± 15.0−29–29
Combined
Peak torque at 90°/s (N × m)280.70 ± 85.52280.75 ± 83.84−0.020.9 ± 11.3−21–23
Peak torque 300°/s (N × m)225.28 ± 61.35232.56 ± 58.45−0.30−1.3 ± 13.7−28–26
Mean peak torque 90°/s ( N × m)259.03 ± 79.99256.91 ± 75.01−0.03−0.6 ± 14.7−29–28
Mean peak torque 300°/s ( N × m)207.97 ± 57.93212.12 ± 53.12−0.161.3 ± 10.4−19–22
Mean power 90°/s (W)273.23 ± 87.72275.88 ± 82.97−0.100.2 ± 9.7−19–19
Mean power 300°/s (W)493.79 ± 197.05500.62 ± 175.73−0.05−0.8 ± 13.0−26–25
Tethered swimming
10 upper limb actions (N)183.20 ± 49.41186.68 ± 56.17−0.10--
30 s (N)177.71 ± 49.55183.44 ± 56.31−0.19--

Share and Cite

MDPI and ACS Style

Carvalho, D.D.; Soares, S.; Zacca, R.; Marinho, D.A.; Silva, A.J.; Pyne, D.B.; Vilas-Boas, J.P.; Fernandes, R.J. In-Water and On-Land Swimmers’ Symmetry and Force Production. Int. J. Environ. Res. Public Health 2019, 16, 5018. https://doi.org/10.3390/ijerph16245018

AMA Style

Carvalho DD, Soares S, Zacca R, Marinho DA, Silva AJ, Pyne DB, Vilas-Boas JP, Fernandes RJ. In-Water and On-Land Swimmers’ Symmetry and Force Production. International Journal of Environmental Research and Public Health. 2019; 16(24):5018. https://doi.org/10.3390/ijerph16245018

Chicago/Turabian Style

Carvalho, Diogo D., Susana Soares, Rodrigo Zacca, Daniel A. Marinho, António J. Silva, David B. Pyne, J. Paulo Vilas-Boas, and Ricardo J. Fernandes. 2019. "In-Water and On-Land Swimmers’ Symmetry and Force Production" International Journal of Environmental Research and Public Health 16, no. 24: 5018. https://doi.org/10.3390/ijerph16245018

APA Style

Carvalho, D. D., Soares, S., Zacca, R., Marinho, D. A., Silva, A. J., Pyne, D. B., Vilas-Boas, J. P., & Fernandes, R. J. (2019). In-Water and On-Land Swimmers’ Symmetry and Force Production. International Journal of Environmental Research and Public Health, 16(24), 5018. https://doi.org/10.3390/ijerph16245018

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop