References
- Bates, D., Mächler, M., Bolker, B., & Walker, S. (2015). Fitting linear mixed-effects models using lme4. Journal of Statistical Software, 67(1), 1-48. https://doi.org/https://doi.org/10.18637/jss.v067.i01
- Blackburn, M. (1994). Physiological responses to 90 min of simulated dinghy sailing. Journal of Sports Sciences, 12(4), 383–390. https://doi.org/https://doi.org/10.1080/02640419408732185
- Bojsen-Møller, J., Larsson, B., & Aagaard, P. (2015). Physical requirements in olympic sailing. European Journal of Sport Science, 15(3), 220–227. https://doi.org/https://doi.org/10.1080/17461391.2014.955130
- Buchardt, R., Bay, J., Bojsen-Møller, J., & Nordsborg, N. (2017). Hiking strap force decreases during sustained upwind sailing. European Journal of Sport Science, 17(4), 393–399. https://doi.org/https://doi.org/10.1080/17461391.2016.1268210
- Caraballo, I., Conde-Caveda, J., Pezelj, L., & Milavi, B. (2021). GNSS applications to assess performance in olympic sailors : laser class. Applied Sciences, 11(1), 264. https://doi.org/https://doi.org/10.3390/app11010264
- Castagna, O., & Brisswalter, J. (2007). Assessment of energy demand in laser sailing: influences of exercise duration and performance level. European Journal of Applied Physiology, 99(2), 95–101. https://doi.org/https://doi.org/10.1007/s00421-006-0336-0
- Cunningham, P. (1996). The physiological demands of elite dingy sailing in varying wind conditions. Journal of Sports Sciences, 14(2), 73. https://doi.org/https://doi.org/10.1080/02640419608727689
- Cunningham, P., & Hale, T. (2007). Physiological responses of elite laser sailors to 30 minutes of simulated upwind sailing. Journal of Sports Sciences, 25(10), 1109–1116. https://doi.org/https://doi.org/10.1080/02640410601165668
- De Vito, G., Di Filippo, L., Felici, F., Gallozzi, C., Madaffari, A., Marino, S., & Rodio, A. (1996). Assessment of energetic cost in laser and mistral sailors. International Journal of Sport Cardiology, 5, 55–59.
- Finnsgård, C., Larsson, L., Lundh, T., & Brown, M. (2015). High performance sailing in olympic classes - A research outlook and proposed directions. 5th high performance yacht design conference, Auckland 141–149.
- Hauer, R., Tessitore, A., Knaus, R., & Tschan, H. (2020). Lacrosse athletes load and recovery monitoring: comparison between objective and subjective methods. International Journal of Environmental Research and Public Health, 17(9), 3329. https://doi.org/https://doi.org/10.3390/ijerph17093329
- Hogarth, L., Burkett, B., & McKean, M. (2015). Neuromuscular and perceptual fatigue responses to consecutive tag football matches. International Journal of Sports Physiology and Performance, 10(5), 559–565. https://doi.org/https://doi.org/10.1123/ijspp.2014-0355
- Johnston, R., Gabbett, T., & Jenkins, D. (2015). Influence of playing standard and physical fitness on activity profiles and post-match fatigue during intensified junior rugby league competition. Sports Medicine - Open, 1(1), 1–10. https://doi.org/https://doi.org/10.1186/s40798-015-0015-y
- Knicker, A., Renshaw, I., Oldham, A., & Cairns, S. (2011). Interactive processes link the multiple symptoms of fatigue in sport competition. Sports Medicine, 41(4), 307–328. https://doi.org/https://doi.org/10.2165/11586070-000000000-00000
- Kölling, S., Hitzschke, B., Holst, T., Ferrauti, A., Meyer, T., Pfeiffer, M., & Kellmann, M. (2015). Validity of the acute recovery and stress scale: training monitoring of the German junior national field hockey team. International Journal of Sports Science & Coaching, 10(2–3), 529–542. https://doi.org/https://doi.org/10.1260/1747-9541.10.2-3.529
- Legg, S., Mackie, H., & Smith, P. (1999). Temporal patterns of physical activity in olympic dinghy racing. Journal of Sports Medicine and Physical Fitness, 39(4), 315.
- Lenth, R. (2020). emmeans: estimated marginal means, aka least-squares means. R package version 1.5.3. https://cran.r-project.org/package=emmeans
- Lüdecke D, Ben-Shachar M, Patil I, Waggoner P, Makowski D (2021). “performance: An R Package for Assessment, Comparison and Testing of Statistical Models.” Journal of Open Source Software, 6(60), 3139. https://doi.org/https://doi.org/10.21105/joss.03139.https://doi.org/https://doi.org/10.5281/zenodo.3952174
- Mackie, H., & Legg, S. (1999). Preliminary assessment of force demands in laser racing. Journal of Science and Medicine in Sport, 2(1), 78–85. https://doi.org/https://doi.org/10.1016/S1440-2440(99)80186-8
- Makivic, B., Djordjevic Nikic, M., & Willis, M. S. (2013). Heart rate variability (HRV) as a tool for diagnostic and monitoring performance in sport and physical activities. Journal of Exercise Physiology Online, 16(3), 103–131.
- Malagù, M., Vitali, F., Rizzo, U., Brieda, A., Zucchetti, O., Verardi, F. M., Guardigli, G., & Bertini, M. (2021). Heart rate variability relates with competition performance in professional soccer players. Hearts, 2(1), 36–44. https://doi.org/https://doi.org/10.3390/hearts2010004
- Montgomery, P., Pyne, D., Hopkins, W., Dorman, J., Cook, K., & Minahan, C. (2008). The effect of recovery strategies on physical performance and cumulative fatigue in competitive basketball. Journal of Sports Sciences, 26(11), 1135–1145. https://doi.org/https://doi.org/10.1080/02640410802104912
- Nakagawa, S., & Schielzeth, H. (2013). A general and simple method for obtaining R2 from generalized linear mixed-effects models. Methods in Ecology and Evolution, 4(2), 133–142. https://doi.org/https://doi.org/10.1111/j.2041-210x.2012.00261.x
- Nässi, A., Ferrauti, A., Meyer, T., Pfeiffer, M., & Kellmann, M. (2017). Development of two short measures for recovery and stress in sport. European Journal of Sport Science, 17(7), 894–903. https://doi.org/https://doi.org/10.1080/17461391.2017.1318180
- Petway, A., Freitas, T., Calleja-González, J., Leal, D., & Alcaraz, P. (2020). Training load and match-play demands in basketball based on competition level: A systematic review. PLoS ONE, 15(3), 1–21. https://doi.org/https://doi.org/10.1371/journal.pone.0229212
- Plews, D., Laursen, P., Stanley, J., Kilding, A., & Buchheit, M. (2013). Training adaptation and heart rate variability in elite endurance athletes: opening the door to effective monitoring. Sports Medicine, 43(9), 773–781. https://doi.org/https://doi.org/10.1007/s40279-013-0071-8
- Pudenz, V., Dierck, T., & Rieckert, H. (1981). Heart rate frequency as a reflection of the length of the boat race course – An experimental study of load imposed during laser sailing. Deutsche Zeitschrift Fu¨r Sportmedizin, 32, 192–195.
- R Core Team. (2020). R: A language and environment for statistical computing (4.0.3). R Foundation for Statistical Computing, Vienna, Austria. https://www.r-project.org/
- Spurway, N. (2007). Hiking physiology and the “quasi-isometric” concept. Journal of Sports Sciences, 25(10), 1081–1093. https://doi.org/https://doi.org/10.1080/02640410601165270
- Spurway, N., Legg, S., & Hale, T. (2007). Sailing physiology. Journal of Sports Sciences, 25(10), 1073–1075. https://doi.org/https://doi.org/10.1080/02640410601165171
- Vogiatzis, I., Spurway, N., & Wilson, J. (1994). On-water oxygen uptake measurements during dinghy sailing. Journal of Sports Sciences, 12(2), 153.
- Vogiatzis, I., Spurway, N., Wilson, J., & Boreham, C. (1995). Assessment of aerobic and anaerobic demands of dinghy sailing at different wind velocities. Journal of Sports Medicine and Physical Fitness, 35(2), 103–107.