Abstract
Objectives
Our objective was to study performance trade-offs in elite athletes competing in a multi-event sport requiring a combination of aptitudes that might conflict each other. Swimmers competing in the individual medley, in particular, might face trade-offs as they have to swim (in this specific order) a quarter of the distance in butterfly, backstroke, breaststroke, and freestyle within a single race.
Methods
We applied multivariate mixed models to analyse 28 years (1991–2019) of publicly available data on men (N = 121) and women (N = 131) swimmers competing for the 200 m individual medley in the semi-final and final rounds of Olympics and world championships.
Results
At the among-individual level, performance in the backstroke and breaststroke were negatively correlated in both men (rind = −0.264 ± 0.126) and women (rind = −0.453 ± 0.103). At the within-individual level, there was a negative correlation between performance in the first and final 50 m of the race in men (re = −0.181 ± 0.055), but not in women (re = 0.001 ± 0.058).
Conclusions
To our knowledge, this is the first demonstration of a trade-off between backstroke and breaststroke swimming styles. Such a trade-off might be caused by various extrinsic (e.g., allocation of training time across the four strokes) and intrinsic (e.g., body morphology and muscle physiology) constraints on human performance. The difference in the pattern of within-individual correlations between men and women aligns with pacing strategies described in the literature. Further research is required to better understand the nature of the trade-offs detected here, which could potentially help improving training strategies for the “generalist” individual medley swimmer.
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Data Availability
The datasets generated and analysed during the current study are publicly available on the fina.org webpage, under the “results” tab (https://www.fina.org/results). The datasets and associated code for the analyses are also available from the corresponding author on request.
References
Adolph, S. C., & Hardin, J. S. (2007). Estimating phenotypic correlations: Correcting for bias due to intraindividual variability. Functional Ecology, 21, 178–184.
Adolph, S. C., & Pickering, T. (2008). Estimating maximum performance: Effects of intraindividual variation. Journal of Experimental Biology, 211, 1336–1343. https://doi.org/10.1242/jeb.011296
Albuquerque, R. L., Bonine, K. E., & Garland Jr., T. (2015). Speed and endurance do not trade off in phrynosomatid lizards. Physiological and Biochemical Zoology, 88, 634–647. https://doi.org/10.1086/683678
Bar-Or, O. (1987). The Wingate anaerobic test. An update on methodology, reliability and validity. Sports Medicine, 4, 381–394. https://doi.org/10.2165/00007256-198704060-00001
Barbosa, T. M., Fernandes, R., Keskinen, K. L., Colaço, P., Cardoso, C., Silva, J., & Vilas-Boas, J. P. (2006). Evaluation of the energy expenditure in competitive swimming strokes. International Journal of Sports Medicine, 27, 894–899. https://doi.org/10.1055/s-2006-923776
Bartlett, L. J., Visher, E., Haro, Y., Roberts, K. E., & Boots, M. (2020). The target of selection matters: An established resistance—Development-time negative genetic trade-off is not found when selecting on development time. Journal of Evolutionary Biology, 33, 1109–1119. https://doi.org/10.1111/jeb.13639
Bartolomeu, R. F., Costa, M. J., & Barbosa, T. M. (2018). Contribution of limbs’ actions to the four competitive swimming strokes: A nonlinear approach. Journal of Sports Sciences, 36, 1836–1845. https://doi.org/10.1080/02640414.2018.1423608
Berberi, I., & Careau, V. (2019). Performance trade-offs in wild mice. Oecologia, 191, 11–23. https://doi.org/10.1007/s00442-019-04450-9
Bergeron, P., Baeta, R., Pelletier, F., Réale, D., & Garant, D. (2010). Individual quality: Tautology or biological reality? Journal of Animal Ecology, 80, 361–364.
Bex, T., Baguet, A., Achten, E., Aerts, P., De Clercq, D., & Derave, W. (2017). Cyclic movement frequency is associated with muscle typology in athletes. Scandinavian Journal of Medicine & Science in Sports, 27, 223–229. https://doi.org/10.1111/sms.12648
Butler, D., Cullis, B. R., Gilmour, A. R., Gogel, D. J., & Thompson, R. (2018). ASReml-R reference manual Release 4. VSN International Ltd..
Calsbeek, R., & Careau, V. (2019). Survival of the fastest: The multivariate optimization of performance phenotypes. Medicine and Science in Sports and Exercise, 51, 330–337. https://doi.org/10.1249/mss.0000000000001788
Calsbeek, R., & Goedert, D. (2017). Performance tradeoffs, ontogenetic conflict, and multisport athletes: How is an ironman triathlete like a frog? Integrative and Comparative Biology, 57, 207–216. https://doi.org/10.1093/icb/icx014
Careau, V., & Wilson, R. S. (2017a). Of uberfleas and krakens: Detecting trade-offs using mixed models. Integrative and Comparative Biology, 57, 362–371.
Careau, V., & Wilson, R. S. (2017b). Performance trade-offs and ageing in the “world’s greatest athletes” Proceedings of the Royal Society B, 284, 20171048.
Chatard, J. C., Bourgoin, B., & Lacour, J. R. (1990). Passive drag is still a good evaluator of swimming aptitude. European Journal of Applied Physiology and Occupational Physiology, 59, 399–404. https://doi.org/10.1007/BF02388619
Chatard, J. C., & Wilson, B. (2008). Effect of fastskin suits on performance, drag, and energy cost of swimming. Medicine and Science in Sports and Exercise, 40, 1149–1154. https://doi.org/10.1249/MSS.0b013e318169387b
Chittka, L., Skorupski, P., & Raine, N. E. (2009). Speed-accuracy tradeoffs in animal decision making. Trends in Ecology & Evolution, 24, 400–407. https://doi.org/10.1016/j.tree.2009.02.010
Craig Jr., A. B., & Pendergast, D. R. (1979). Relationships of stroke rate, distance per stroke, and velocity in competitive swimming. Medicine and Science in Sports, 11, 278–283.
Damasceno, M. V., Pasqua, L. A., Lima-Silva, A. E., & Bertuzzi, R. (2015). Energy system contribution in a maximal incremental test: Correlations with pacing and overall performance in a 10-km running trial. Brazilian Journal of Medical and Biological Research, 48, 1048–1054. https://doi.org/10.1590/1414-431x20154787
Dingemanse, N. J., & Dochtermann, N. A. (2013). Quantifying individual variation in behaviour: Mixed-effect modelling approaches. Journal of Animal Ecology, 82, 39–54.
Dohm, M. R., Hayes, J. P., & Garland Jr., T. (1996). Quantitative genetics of sprint running speed and swiming performance in laboratory house mice (Mus musculus). Evolution, 50, 1688–1701.
Ellerby, D. J., & Gerry, S. P. (2011). Sympatric divergence and performance trade-offs of bluegill ecomorphs. Evolutionary Biology, 38, 422–433. https://doi.org/10.1007/s11692-011-9130-y
FINA (2017). FINA Swimming Rules 2017–2021. https://resources.fina.org/fina/document/2021/01/12/b3885f9b-630a-4390-861d-4e7f6031f4a4/2017_2021_swimming_16032018.pdf. Accessed 1 Feb 2021.
Gagnon, C. M., Steiper, M. E., & Pontzer, H. (2018). Elite swimmers do not exhibit a body mass index trade-off across a wide range of event distances. Proceedings of the Royal Society B: Biological Sciences, 285, 20180684. https://doi.org/10.1098/rspb.2018.0684
Garland Jr., T. (2014). Quick guide: Trade-offs. Current Biology, 24, R60–R61.
Garland Jr., T. (1988). Genetic basis of activity metabolism. I. Inheritance of speed, stamina, and antipredator displays in the garter snake Thamnophis sirtalis. Evolution, 42, 335–350.
Garland Jr., T., & Else, P. L. (1987). Seasonal, sexual and individual variation in endurance and activity metabolism in lizards. American Journal of Physiology, 252, R439–R449.
Green, S. (1995). Measurement of anaerobic work capacities in humans. Sports Medicine, 19, 32–42. https://doi.org/10.2165/00007256-199519010-00003
Huey, R. B., Dunham, A. E., Overall, K. L., & Newman, R. A. (1990). Variation in locomotor performance in demographically known populations of the lizard Sceloporus merriami. Physiological Zoology, 63, 845–872.
James, C., Sacco, P., & Jones, D. A. (1995). Loss of power during fatigue of human leg muscles. Journal of Physiology, 484(Pt 1), 237–246. https://doi.org/10.1113/jphysiol.1995.sp020661
Jayne, B. C., & Bennett, A. F. (1990). Selection on locomotor performance capacity in a natural population of garter snakes. Evolution, 44, 1204–1229. https://doi.org/10.2307/2409283
Kennedy, P., Brown, P., Chengalur, S. N., & Nelson, R. C. (1990). Analysis of male and female olympic swimmers in the 100-meter events. International Journal of Sport Biomechanics, 6, 187. https://doi.org/10.1123/ijsb.6.2.187
Kenny, I. A., Sprevak, D., Sharp, C., & Boreham, C. (2005). Determinants of success in the Olympic decathlon: Some statistical evidence. Journal of Quantitative Analysis in Sports, 1.
Kenward, M. G., & Roger, J. H. (1997). The precision of fixed effects estimates from restricted maximum likelihood. Biometrics, 53, 983–997.
Koivula, M., Koskela, E., Mappes, T., & Oksanen, T. (2003). Cost of reproduction in the wild: Manipulation of reproductive effort in the bank vole. Ecology, 84, 398–405. https://doi.org/10.1890/0012-9658(2003)084[0398:CORITW]2.0.CO;2
Lailvaux, S. P., Cespedes, A. M., & Houslay, T. M. (2019). Conflict, compensation, and plasticity: Sex-specific, individual-level trade-offs in green anole (Anolis carolinensis) performance. Journal of Experimental Zoology Part A: Ecological and Integrative Physiology, 331, 280–289. https://doi.org/10.1002/jez.2263
Lavoie, J. M., & Montpetit, R. R. (1986). Applied physiology of swimming. Sports Medicine, 3, 165–189. https://doi.org/10.2165/00007256-198603030-00002
Law, R. (1979). The cost of reproduction in annual meadow grass. The American Naturalist, 113, 3–16.
Li, T. Z., & Zhan, J. M. (2015). Hydrodynamic body shape analysis and their impact on swimming performance. Acta of Bioengineering and Biomechanics, 17, 3–11.
Longman, D. P., Wells, J. C. K., & Stock, J. T. (2020). Human athletic paleobiology; using sport as a model to investigate human evolutionary adaptation. American Journal of Physical Anthropology, 171(Suppl 70), 42–59. https://doi.org/10.1002/ajpa.23992
Martens, J., Figueiredo, P., & Daly, D. (2015). Electromyography in the four competitive swimming strokes: A systematic review. Journal of Electromyography and Kinesiology, 25, 273–291. https://doi.org/10.1016/j.jelekin.2014.12.003
McCartney, N., Heigenhauser, G. J., & Jones, N. L. (1983). Power output and fatigue of human muscle in maximal cycling exercise. Journal of Applied Physiology: Respiratory, Environmental and Exercise Physiology, 55, 218–224. https://doi.org/10.1152/jappl.1983.55.1.218
McGibbon, K. E., Pyne, D. B., Shephard, M. E., & Thompson, K. G. (2018). Pacing in swimming: A systematic review. Sports Medicine, 48, 1621–1633. https://doi.org/10.1007/s40279-018-0901-9
McLeod, I. (2010). Swimming anatomy. Human Kinetics.
Moiron, M., Mathot, K. J., & Dingemanse, N. J. (2016). A multi-level approach to quantify speed-accuracy trade-offs in great tits (Parus major). Behavioral Ecology, 27, 1539–1546. https://doi.org/10.1093/beheco/arw077
Moser, C., Sousa, C. V., Olher, R. R., Nikolaidis, P. T., & Knechtle, B. (2020). Pacing in world-class age group swimmers in 100 and 200 m freestyle, backstroke, breaststroke, and butterfly. International Journal of Environmental Research and Public Health, 17, 3875.
Nussey, D. H., Wilson, A. J., Morris, A., Pemberton, J., Clutton-Brock, T., & Kruuk, L. E. B. (2008). Testing for genetic trade-offs between early- and late-life reproduction in a wild red deer population. Proceedings of the Royal Society B-Biological Sciences, 275, 745–750. https://doi.org/10.1098/rspb.2007.0986
Park, J., & Zatsiorsky, V. M. (2011). Multivariate statistical analysis of decathlon performance results in olympic athletes (1988-2008). World Academy of Science, Engineering and Technology, 77, 1128–1131.
Pasi, B. M., & Carrier, D. R. (2003). Functional trade-offs in the limb muscles of dogs selected for running vs. fighting. Journal of Evolutionary Biology, 16, 324–332. https://doi.org/10.1046/j.1420-9101.2003.00512.x
Reznick, D., Nunney, L., & Tessier, A. (2000). Big houses, big cars, superfleas and the costs of reproduction. Trends in Ecology and Evolution, 15, 421–425.
Roff, D. A., & Fairbairn, D. J. (2007). The evolution of trade-offs: Where are we? Journal of Evolutionary Biology, 20, 433–447. https://doi.org/10.1111/j.1420-9101.2006.01255.x
Saavedra, J. M., Escalante, Y., Garcia-Hermoso, A., Arellano, R., & Navarro, F. (2012). A 12-year analysis of pacing strategies in 200- and 400-m individual medley in international swimming competitions. Journal of Strength and Conditioning Research, 26, 3289–3296. https://doi.org/10.1519/JSC.0b013e318248aed5
Seifert, L., & Chollet, D. (2011). World book of swimming: From science to performance. Nova Science Publishers.
Sorci, G., Swallow, J. G., Garland Jr., T., & Clobert, J. (1995). Quantitative genetics of locomotor speed and endurance in the lizard Lacerta vivipara. Physiological Zoology, 68, 698–720.
Stearns, S. C. (1989). Trade-offs in life-history evolution. Functional Ecology, 3, 259–268. https://doi.org/10.2307/2389364
Stoffels, R. J. (2015). Physiological trade-offs along a fast-slow lifestyle continuum in fishes: What do they tell us about resistance and resilience to hypoxia? PLoS One, 10, e0130303. https://doi.org/10.1371/journal.pone.0130303
Sutter, A., Barton, S., Sharma, M. D., Basellini, U., Hosken, D. J., & Archer, C. R. (2018). Senescent declines in elite tennis players are similar across the sexes. Behavioral Ecology, 29, 1351–1358. https://doi.org/10.1093/beheco/ary112
Thiel, C., Foster, C., Banzer, W., & De Koning, J. (2012). Pacing in Olympic track races: Competitive tactics versus best performance strategy. Journal of Sports Sciences, 30, 1107–1115. https://doi.org/10.1080/02640414.2012.701759
Thompson, K. G., MacLaren, D. P., Lees, A., & Atkinson, G. (2003). The effect of even, positive and negative pacing on metabolic, kinematic and temporal variables during breaststroke swimming. European Journal of Applied Physiology, 88, 438–443. https://doi.org/10.1007/s00421-002-0715-0
Thorley, J. (2021). Age-related changes in the performance of bowlers in test match cricket. International Journal of Sports Science & Coaching, 0, 17479541211001726. https://doi.org/10.1177/17479541211001726
Tobiansky, D. J., Miles, M. C., Goller, F., & Fuxjager, M. J. (2020). Androgenic modulation of extraordinary muscle speed creates a performance trade-off with endurance. Journal of Experimental Biology, 223. https://doi.org/10.1242/jeb.222984
Toussaint, H. M., & Hollander, A. P. (1994). Energetics of competitive swimming. Implications for training programmes. Sports Medicine, 18, 384–405. https://doi.org/10.2165/00007256-199418060-00004
Tsuji, J. S., Huey, R. B., van Berkum, F. H., Garland Jr., T., & Shaw, R. G. (1989). Locomotor performance of hatchling fence lizards (Sceloporus occidentalis): Quantitative genetics and morphometric correlates. Evolutionary Ecology, 3, 240–252.
Van Damme, R., Wilson, R. S., Vanhooydonck, B., & Aerts, P. (2002). Performance constraints in decathletes. Nature, 415, 755–756.
van de Pol, M. V., & Wright, J. (2009). A simple method for distinguishing within- versus between-subject effects using mixed models. Animal Behaviour, 77, 753–758.
van Noordwijk, A. J., & de Jong, G. (1986). Acquisition and allocation of resources: Their influence on variation in life history tactics. American Naturalist, 128, 127–142.
Vandewalle, H., Péerès, G., & Monod, H. (1987). Standard anaerobic exercise tests. Sports Medicine, 4, 268–289. https://doi.org/10.2165/00007256-198704040-00004
Verdolin, J. L. (2006). Meta-analysis of foraging and predation risk trade-offs in terrestrial systems. Behavioral Ecology and Sociobiology, 60, 457–464.
Vorontsov, A. R., & Rumyantsev, V. A. (2000). Propulsive forces in swimming. In Biomechanics in sport (pp. 205–231). Blackwell Science.
Walker, J. A., & Caddigan, S. P. (2015). Performance trade-offs and individual quality in decathletes. Journal of Experimental Biology, 218, 3647–3657.
West, D. J., Owen, N. J., Cunningham, D. J., Cook, C. J., & Kilduff, L. P. (2011). Strength and power predictors of swimming starts in international sprint swimmers. Journal of Strength and Conditioning Research, 25, 950–955. https://doi.org/10.1519/JSC.0b013e3181c8656f
Westneat, D. F., Wright, J., & Dingemanse, N. J. (2015). The biology hidden inside residual within-individual phenotypic variation. Biological Reviews, 90, 729–743. https://doi.org/10.1111/brv.12131
Weyand, P. G., & Davis, J. A. (2005). Running performance has a structural basis. Journal of Experimental Biology, 208, 2625–2631. https://doi.org/10.1242/jeb.01609
Wilson, R. S., & James, R. S. (2004). Constraints on muscular performance: Trade-offs between power output and fatigue resistance. Proceedings of the Royal Society B-Biological Sciences, 271, S222–S225. https://doi.org/10.1098/rsbl.2003.0143
Wilson, R. S., James, R. S., Kohlsdorf, T., & Cox, V. M. (2004). Interindividual variation of isolated muscle performance and fibre-type composition in the toad Bufo viridus. Journal of Comparative Physiology B-Biochemical Systemic and Environmental Physiology, 174, 453–459. https://doi.org/10.1007/s00360-004-0431-7
Wilson, R. S., James, R. S., & Van Damme, R. (2002). Trade-offs between speed and endurance in the frog Xenopus laevis: A multi-level approach. Journal of Experimental Biology, 205, 1145–1152.
Wilson, R. S., Niehaus, A. C., David, G., Hunter, A., & Smith, M. (2014). Does individual quality mask the detection of performance trade-offs? A test using analyses of human physical performance. Journal of Experimental Biology, 217, 545–551. https://doi.org/10.1242/jeb.092056
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Vilain, M., Careau, V. Performance Trade-Offs in Elite Swimmers. Adaptive Human Behavior and Physiology 8, 28–51 (2022). https://doi.org/10.1007/s40750-021-00179-z
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DOI: https://doi.org/10.1007/s40750-021-00179-z