Skip to main content

OPINION article

Front. Psychol., 29 April 2021
Sec. Movement Science

A Biopsychosocial Framework to Guide Interdisciplinary Research on Biathlon Performance

  • 1Department of Sport Psychology, Sport Pedagogy and Sport Sociology, Institute of Sport Science, Martin Luther University Halle-Wittenberg, Halle, Germany
  • 2Department for the Psychology of Human Movement and Sport, Institute of Sport Science, Friedrich Schiller University Jena, Jena, Germany

Biathlon is a unique combination of two challenging and remarkably different tasks: cross-country skiing in free technique and rifle shooting in either prone or standing position. Over the past few decades, a growing body of biathlon-specific research considerably improved our understanding of the factors determining biathlon performance (for a review, see Laaksonen et al., 2018). This includes biological aspects of biathlon performance, comprising physiological parameters (e.g., Rundell and Bacharach, 1995; Stoeggl et al., 2015; Laaksonen et al., 2020) as well as biomechanical and motor control factors such as postural control, rifle stability, shoulder force, and triggering or aiming strategies (e.g., Groslambert et al., 1999; Baca and Kornfeind, 2012; Sattlecker et al., 2014; Köykkä et al., 2020). In addition, another branch of research focuses on psychological factors that influence performance, including the role of attentional processes (e.g., Gallicchio et al., 2016; Luchsinger et al., 2016; Heinrich et al., 2020), dealing with psychological pressure (e.g., Vickers and Williams, 2007; Lindner, 2017) and the effectiveness of psychological interventions (e.g., Groslambert et al., 2003; Laaksonen et al., 2011). However, with only one exception (Harb-Wu and Krumer, 2019), biathlon-specific research has largely overlooked the degree to which social context factors may impact biathlon performance. Here, we advocate a holistic approach to gain a more complete understanding of the factors contributing to biathlon performance. Admitting to the fact that biological determinants, psychological factors, and social context never occur in isolation, but instead need to be considered in conjunction, we propose a biopsychosocial framework to guide future research efforts into biathlon performance. This integrative, interdisciplinary, and holistic approach to examine biathlon performance is illustrated in Figure 1.

FIGURE 1
www.frontiersin.org

Figure 1. A biopsychosocial framework of biathlon performance.

Originally, biopsychosocial approaches were developed in the area of medicine and psychiatry to address limitations of the traditional biomedical model and generally aim at considering behavioral, psychological, and social dimensions when trying to understand a person's condition (Engel, 1977, 1997). Nowadays, biopsychosocial models have stepped out of their original scope and are widely used, for instance, to explain arousal regulation (Blascovich and Tomaka, 1996) or to examine stress in adolescence (Rith-Najarian et al., 2014). The application of biopsychosocial models in sport is scarce and mainly limited to the field of injuries or pain (e.g., von Rosen et al., 2017; Bumann et al., 2020). Before outlining the specific steps that need to be taken to realize a research agenda in biathlon guided by the proposed biopsychosocial framework, we shortly summarize evidence stemming from research focusing on isolated, that is, biological, psychological, and social aspects of the framework.

In a Nutshell: Research on Biological Factors of Biathlon Performance

As concerns biological factors, research revealed, for instance, that biathletes with a larger capacity for oxygen uptake (i.e., high peak of oxygen uptake) show faster skiing times (Rundell, 1995; Rundell and Bacharach, 1995). Oxygen uptake at a lactate threshold of 4 mmol/L and gross efficiency may predict high proportions of variance in biathlon competition performance (i.e., the higher, the better; Laaksonen et al., 2020). The capacity for oxygen uptake becomes even more important as rifle carriage in skiing results in higher physiological demands such as increased oxygen costs, greater ventilation, and higher lactate values (Frederick, 1987; Rundell and Szmedra, 1998; Jonsson Kårström et al., 2019), in biomechanical adaptations (e.g., higher cycle rate and leg forces; Stoeggl et al., 2015), and in decreased performance in maximal roller skiing compared with roller skiing without a rifle (Jonsson Kårström et al., 2019). Additionally, several motor control parameters (i.e., biomechanical aspects) were shown to be reliable predictors for distinguishing between expert and less skilled biathletes: Expert biathletes are characterized by higher rifle stability (i.e., less rifle sway; Hoffman et al., 1992; Sattlecker et al., 2014, 2017) and show a more stable aiming pattern (Baca and Kornfeind, 2012) as well as higher postural control (Groslambert et al., 1999; Sattlecker et al., 2014, 2017). Furthermore, successful biathlon shooters exhibit higher force values of the rifle stock in the back shoulder and specific triggering patterns characterized by an increasing force followed by a plateau before firing a shot (Sattlecker et al., 2017; Hansen et al., 2019). Successful shots are further characterized by being fired at a specific phase of the cardiac cycle (under exercise conditions less frequently from 100 to 200 ms after the R-wave; Gallicchio et al., 2019). Dependent on the aiming strategy (the so-called hold vs. timing strategy), shooting accuracy is associated with more stable aiming at the center of the target and a decrease in total velocity of the rifle just before firing the shot (Köykkä et al., 2020). Finally, some research focused on the impact of physiological workload on shooting performance, revealing equivocal findings: Some studies showed deteriorations in shooting accuracy with increasing workload (Hoffman et al., 1992; Grebot et al., 2003; Vickers and Williams, 2007; Ihalainen et al., 2018), while other studies indicate no effects (Gallicchio et al., 2016; Luchsinger et al., 2016; Heinrich et al., 2020).

In a Nutshell: Research on Psychological Factors of Biathlon Peformance

Psychological research in biathlon focused on psychological processes (including neurophysiological mechanisms) underpinning successful biathlon shooting as well as psychological interventions that aim at enhancing performance. Concerning the former, for instance, successful biathlon shooting is related to higher frontal theta power (an electroencephalographic measure), which itself is associated with attentional monitoring processes (Gallicchio et al., 2016; Luchsinger et al., 2016). The importance of focused attention was corroborated by Vickers and Williams (2007) providing evidence that longer final fixations relate to higher shooting accuracies under different psychological (i.e., low vs. high) pressure situations (for contradictory findings, see Heinrich et al., 2020). Also, research based on archival competition data revealed that dealing with pressure may be crucial to successful performance. Lindner (2017) showed that the likelihood of missing the final shot of the final shooting bout turns out to be significantly higher when compared with the previous shots of the final bout, especially in top-ranked biathletes. Furthermore, longer shooting times are often resulting in performance deteriorations (see Lindner, 2017). Additionally, psychological interventions such as autogenic, imagery, or relaxation training combined with specific shooting training tend to enhance shooting accuracy (Laaksonen et al., 2011) and rifle stability (Groslambert et al., 2003). Finally, a recent prospective study showed that dispositional mindfulness (i.e., awareness, refocusing, etc.) might also predict proportions of the variance in shooting performance in advanced biathletes (Josefsson et al., 2020).

In a Nutshell: Research on Social Context Factors of Biathlon Performance

In contrast to biological and psychological factors, our knowledge about the role of social context for biathlon performance is very limited. Based on archival competition data, Harb-Wu and Krumer (2019) recently examined audience effects by comparing athletes' shooting and skiing performance when competing abroad vs. in their home country (supportive audience). While biathletes with the highest expertise level missed significantly more shots when competing in front of a supportive audience, lower-ranked biathletes did not show performance decrements in shooting but increased skiing performance (i.e., skied faster at home).

Interim Summary

First, research in biathlon is mainly focusing on biological and psychological determinants in isolation rather than examining these factors in conjunction. Second, the impact of social context has largely been neglected thus far. To ultimately realize a more integrative and interdisciplinary research approach toward biathlon performance under the umbrella of a biopsychosocial framework (see Figure 1), we propose that (at least) three steps need to be taken.

Step 1: Studying Social Context

As highlighted by the dashed lines surrounding the “social” context in Figure 1, more research addressing the impact of social context on biathlon performance is mandatory. First, the impact of the presence of audience—regardless of the type of audience (see Harb-Wu and Krumer, 2019)—on both skiing and shooting performance has not been examined yet. Second, the only study on social context, thus far, is based on archival competition data; experimental research, however, is lacking. For instance, given that research on social presence has shown that individuals characterized by extraversion and high self-esteem tend to show performance improvements through the presence of others, while individuals characterized by neuroticism and low self-esteem tend to show performance impairments (Graydon and Murphy, 1995; Uziel, 2007), an experimental approach could serve to examine how athletes' personality characteristics interact with the presence vs. absence of an audience in biathlon. Third, if social context matters, then the question arises if and how the presence vs. absence of direct opponents—be it at the shooting range or on the skiing course—affect biathlon performance. While all biathletes start at the same time in mass start competitions or with a delay based on the result of a previous race (typically sprint) in pursuit, the position on the skiing course always corresponds to an athlete's overall ranking, and competitors are faced with their direct opponents on both the skiing course and the shooting range. It is, hence, conceivable that the number of simultaneously shooting biathletes may affect performance in head-to-head competitions. Finally, social context in the form of familiar vs. unfamiliar environments or cultures may likewise affect competition performance in biathlon. For instance, the next Winter Olympics will take place in China, while Italy will host the Winter Olympics in 2026.

Step 2: Building Interdisciplinary Bridges

From a biopsychosocial framework perspective, a truly interdisciplinary approach that allows to concomitantly examine biathlon performance from different viewing angles goes beyond looking at relevant factors in isolation. There are initial attempts taking, for example, a biopsychological approach. For instance, studies examining the role of focused attention by means of measuring electroencephalographic activity also considered biological factors by manipulating cardiovascular load immediately before assessing shooting performance. Results on this particular question are somewhat mixed by showing decreased frontal theta power, on the one hand (Gallicchio et al., 2016), or the lack of an effect, on the other hand (Luchsinger et al., 2016). Vickers and Williams (2007) also showed a significant decrease in the duration of the final fixation with increasing physiological workload. By contrast, Heinrich et al. (2020) did not find an effect of physiological workload on fixation durations. Next to biopsychological research, Harb-Wu and Krumer (2019) examined initial biosocial links when showing negative effects of social context on top-ranked biathletes' shooting accuracy as well as positive effects on low-ranked biathletes' skiing performance (representing biological factors). In conclusion, more interdisciplinary approaches are needed to unravel the intricate links between biological, psychological, and social factors determining biathlon performance. Consequently, these approaches offer new opportunities to resolve, for instance, equivocal findings regarding the impact of physiological workload on shooting performance by integrating psychological factors and social context potentially affecting biological factors.

Step 3: Taking a Big Data Approach

Our final suggestion is to consider taking a big data approach to explain and predict biathlon performance. Big data approaches are still in their infancy as far as the sport sciences are concerned. Such an approach is, for instance, used for tactical analyses in professional soccer (e.g., Rein and Memmert, 2016). Besides characteristics such as featuring a high volume of data that are produced at high velocity, big data are defined by a diverse set of data, and the aim is to capture the entire populations or systems (n = all, Kitchin, 2014). Transferred to biathlon, this approach may bring together physiological and biomechanical data from training and competition, psychological factors such as personality characteristics (i.e., traits) or aspects displaying relevant psychological states (e.g., stress and recovery, perceived pressure) as well as social context information at the skiing course and the shooting range (e.g., audience, opponents) in one database. Both external and internal (i.e., individual) factors could be considered by combining multi-methodologically gathered data (e.g., self-reports, tracking data, physiological monitoring, and competition protocols). However, this approach not only requires cross-disciplinary collaborations but also that researchers and practitioners are sensitive to ethical considerations and privacy issues—challenges that are generally associated with big data (Boyd and Crawford, 2012; Spaaij and Thiel, 2017). Despite these challenges, we are convinced that a big data approach is timely and viable to contribute to our understanding of biathlon performance in a truly interdisciplinary and holistic manner as proposed by the biopsychosocial framework.

Author Contributions

AH conceptualized the study and wrote the original draft. OS did the supervision, wrote, reviewed, and edited the draft. RC-B was also responsible for the conceptualization, supervision, writing, review, and editing of the manuscript. All authors contributed to the article and approved the submitted version.

Funding

We acknowledge the financial support within the funding program Open Access Publishing by the German Research Foundation (DFG).

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

References

Baca, A., and Kornfeind, P. (2012). Stability analysis of motion patterns in biathlon shooting. Hum. Mov. Sci. 31, 295–302. doi: 10.1016/j.humov.2010.05.008

PubMed Abstract | CrossRef Full Text | Google Scholar

Blascovich, J., and Tomaka, J. (1996). The biopsychosocial model of arousal regulation. Adv. Exp. Soc. Psychol. 28, 1–51. doi: 10.1016/S0065-2601(08)60235-X

CrossRef Full Text | Google Scholar

Boyd, D., and Crawford, K. (2012). Critical questions for big data: provocations for a cultural, technological, and scholarly phenomenon. Inf. Commun. Soc. 15, 662–679. doi: 10.1080/1369118X.2012.678878

CrossRef Full Text | Google Scholar

Bumann, A., Banzer, W., and Fleckenstein, J. (2020). Prevalence of Biopsychosocial Factors of Pain in 865 Sports Students of the Dach (Germany, Austria, Switzerland) Region–A Cross-Sectional Survey. J. Sports Sci. Sedicine 19, 323–336. Available online at: https://www.jssm.org/jssm-19-323.xml%3EFulltext

PubMed Abstract | Google Scholar

Engel, G. L. (1977). The need for a new medical model: a challenge for biomedicine. Science 196, 129–136. doi: 10.1126/science.847460

CrossRef Full Text | Google Scholar

Engel, G. L. (1997). From biomedical to biopsychosocial: being scientific in the human domain. Psychosomatics 38, 521–528. doi: 10.1016/S0033-3182(97)71396-3

PubMed Abstract | CrossRef Full Text | Google Scholar

Frederick, E. C. (1987). Estimates of the energy cost of rifle carriage in biathlon ski skating. J. Appl. Biomech. 3, 392–403. doi: 10.1123/ijsb.3.4.392

PubMed Abstract | CrossRef Full Text | Google Scholar

Gallicchio, G., Finkenzeller, T., Sattlecker, G., Lindinger, S., Hoedlmoser, K. (2016). Shooting under cardiovascular load: electroencephalographic activity in preparation for biathlon shooting. Int. J. Psychophysiol. 109, 92–99. doi: 10.1016/j.ijpsycho.2016.09.004

PubMed Abstract | CrossRef Full Text | Google Scholar

Gallicchio, G., Finkenzeller, T., Sattlecker, G., Lindinger, S., and Hoedlmoser, K. (2019). The Influence of physical exercise on the relation between the phase of cardiac cycle and shooting accuracy in biathlon. Eur. J. Sport Sci. 19, 567–575. doi: 10.1080/17461391.2018.1535626

PubMed Abstract | CrossRef Full Text | Google Scholar

Graydon, J., and Murphy, T. (1995). The effect of personality on social facilitation whilst performing a sports related task. Pers. Individ. Dif. 19, 265–267. doi: 10.1016/0191-8869(95)00052-8

CrossRef Full Text | Google Scholar

Grebot, C., Groslambert, A., Pernin, J. N., Burtheret, A., and Rouillon, J. D. (2003). Effects of exercise on perceptual estimation and short-term recall of shooting performance in a biathlon. Percept. Mot. Skills 97, 1107–1114. doi: 10.2466/pms.2003.97.3f.1107

PubMed Abstract | CrossRef Full Text | Google Scholar

Groslambert, A., Candau, R., Grappe, F., Dugue, B., and Rouillon, J. D. (2003). Effects of autogenic and imagery training on the shooting performance in biathlon. Res. Q. Exerc. Sport 74, 337–341. doi: 10.1080/02701367.2003.10609100

PubMed Abstract | CrossRef Full Text | Google Scholar

Groslambert, A., Candau, R., Hoffman, M. D., Bardy, B., and Rouillon, J. D. (1999). Validation of simple tests of biathlon shooting ability. Int. J. Sports Med. 20, 179–182. doi: 10.1055/s-1999-970286

PubMed Abstract | CrossRef Full Text | Google Scholar

Hansen, D. W., Heinrich, A., and Cañal-Bruland, R. (2019). “Aiming for the quiet eye in biathlon,” in Proceedings of the Symposium on Eye Tracking Research and Applications (ETRA '19; article No. 10; 7 pages) (New York, NY: ACM). doi: 10.1145/3314111.3319850

CrossRef Full Text

Harb-Wu, K., and Krumer, A. (2019). Choking under pressure in front of a supportive audience: evidence from professional biathlon. J. Econ. Behav. Organ. 166, 246–262. doi: 10.1016/j.jebo.2019.09.001

CrossRef Full Text | Google Scholar

Heinrich, A., Hansen, D. W., Stoll, O., and Cañal-Bruland, R. (2020). The impact of physiological fatigue and gaze behavior on shooting performance in expert biathletes. J. Sci. Med. Sport 23, 883–890. doi: 10.1016/j.jsams.2020.02.010

PubMed Abstract | CrossRef Full Text | Google Scholar

Hoffman, M. D., Gilson, P. M., Westenburg, T. M., and Spencer, W. A. (1992). Biathlon shooting performance after exercise of different intensities. Int. J. Sports Med. 13, 270–273. doi: 10.1055/s-2007-1021265

PubMed Abstract | CrossRef Full Text | Google Scholar

Ihalainen, S., Laaksonen, M. S., Kuitunen, S., Leppävuori, A., Mikkola, J., Lindinger, S. J., et al. (2018). Technical determinants of biathlon standing shooting performance before and after race simulation. Scand. J. Med. Sci. Sports 28, 1700–1707. doi: 10.1111/sms.13072

PubMed Abstract | CrossRef Full Text | Google Scholar

Jonsson Kårström, M., McGawley, K., and Laaksonen, M. S. (2019). Physiological responses to rifle carriage during roller-skiing in elite biathletes. Front. Physiol. 10:1519. doi: 10.3389/fphys.2019.01519

PubMed Abstract | CrossRef Full Text | Google Scholar

Josefsson, T., Gustafsson, H., Rostad, T. I., Gardner, F. L., and Ivarsson, A. (2020). Mindfulness and shooting performance in biathlon. A prospective study. Eur. J. Sport Sci. doi: 10.1080/17461391.2020.1821787

PubMed Abstract | CrossRef Full Text | Google Scholar

Kitchin, R. (2014). Big Data, new epistemologies and paradigm shifts. Big Data Soc. 1, 1–12. doi: 10.1177/2053951714528481

CrossRef Full Text | Google Scholar

Köykkä, M., Ihalainen, S., Linnamo, V., Ruotsalainen, K., Häkkinen, K., and Laaksonen, M. S. (2020). Aiming strategy affects performance-related factors in biathlon standing shooting. Scand. J. Med. Sci. Sports 31, 573–585. doi: 10.1111/sms.13864

PubMed Abstract | CrossRef Full Text | Google Scholar

Laaksonen, M. S., Ainegren, M., and Lisspers, J. (2011). Evidence of improved shooting precision in biathlon after 10 weeks of combined relaxation and specific shooting training. Cogn. Behav. Ther. 40, 237–250. doi: 10.1080/16506073.2011.616217

PubMed Abstract | CrossRef Full Text | Google Scholar

Laaksonen, M. S., Andersson, E., Kårström, M. J., Lindblom, H., and McGawley, K. (2020). Laboratory-based factors predicting skiing performance in female and male biathletes. Front. Sports Active Living 2:99. doi: 10.3389/fspor.2020.00099

PubMed Abstract | CrossRef Full Text | Google Scholar

Laaksonen, M. S., Finkenzeller, T., Holmberg, H. C., and Sattlecker, G. (2018). The influence of physiobiomechanical parameters, technical aspects of shooting, and psychophysiological factors on biathlon performance: a review. J. Sport Health Sci. 7, 394–404. doi: 10.1016/j.jshs.2018.09.003

PubMed Abstract | CrossRef Full Text | Google Scholar

Lindner, F. (2017). Choking under pressure of top performers: Evidence from biathlon competitions. Working Papers in Economics and Statistics 24, 1–27.

Google Scholar

Luchsinger, H., Sandbakk, Ø., Schubert, M., Ettema, G., Baumeister, J. (2016). A comparison of frontal theta activity during shooting among biathletes and cross-country skiers before and after vigorous exercise. PLoS ONE 11:e0150461. doi: 10.1371/journal.pone.0150461

PubMed Abstract | CrossRef Full Text | Google Scholar

Rein, R., and Memmert, D. (2016). Big data and tactical analysis in elite soccer: future challenges and opportunities for sports science. Springerplus 5, 1–13. doi: 10.1186/s40064-016-3108-2

PubMed Abstract | CrossRef Full Text | Google Scholar

Rith-Najarian, L. R., McLaughlin, K. A., Sheridan, M. A., and Nock, M. K. (2014). The biopsychosocial model of stress in adolescence: self-awareness of performance versus stress reactivity. Stress 17, 193–203. doi: 10.3109/10253890.2014.891102

PubMed Abstract | CrossRef Full Text | Google Scholar

Rundell, K. W. (1995). Treadmill roller ski test predicts biathlon roller ski race results of elite US biathlon women. Med. Sci. Sports Exerc. 27, 1677–1685. doi: 10.1249/00005768-199512000-00015

CrossRef Full Text | Google Scholar

Rundell, K. W., and Bacharach, D. W. (1995). Physiological characteristics and performance of top US biathletes. Med. Sci. Sports Exerc. 27, 1302–1310. doi: 10.1249/00005768-199509000-00010

CrossRef Full Text | Google Scholar

Rundell, K. W., and Szmedra, L. (1998). Energy cost of rifle carriage in biathlon skiing. Med. Sci. Sports Exerc. 30, 570–576. doi: 10.1097/00005768-199804000-00015

PubMed Abstract | CrossRef Full Text | Google Scholar

Sattlecker, G., Buchecker, M., Gressenbauer, C., Müller, E., and Lindinger, S. J. (2017). Factors discriminating high from low score performance in biathlon shooting. Int. J. Sports Physiol. Perform 12, 377–384. doi: 10.1123/ijspp.2016-0195

PubMed Abstract | CrossRef Full Text | Google Scholar

Sattlecker, G., Buchecker, M., Müller, E., and Lindinger, S. J. (2014). Postural balance and rifle stability during standing shooting on an indoor gun range without physical stress in different groups of biathletes. Int. J. Sports Sci. Coach 9, 171–184. doi: 10.1260/1747-9541.9.1.171

CrossRef Full Text | Google Scholar

Spaaij, R., and Thiel, A. (2017). Big data: critical questions for sport and society. Eur. J. Sport Soc. 14, 1–4. doi: 10.1080/16138171.2017.1288374

CrossRef Full Text | Google Scholar

Stoeggl, T., Bishop, P., Höök, M., Willis, S., and Holmberg, H. C. (2015). Effect of carrying a rifle on physiology and biomechanical responses in biathletes. Med. Sci. Sports Exerc. 47, 617–624. doi: 10.1249/MSS.0000000000000438

PubMed Abstract | CrossRef Full Text | Google Scholar

Uziel, L. (2007). Individual differences in the social facilitation effect: a review and meta-analysis. J. Res. Pers. 41, 579–601. doi: 10.1016/j.jrp.2006.06.008

CrossRef Full Text | Google Scholar

Vickers, J. N., and Williams, A. M. (2007). Performing under pressure: the effects of physiological arousal, cognitive anxiety, and gaze control in biathlon. J. Mot. Behav. 39, 381–394. doi: 10.3200/JMBR.39.5.381-394

PubMed Abstract | CrossRef Full Text | Google Scholar

von Rosen, P., Frohm, A., Kottorp, A., Fridén, C., and Heijne, A. (2017). Multiple factors explain injury risk in adolescent elite athletes: applying a biopsychosocial perspective. Scand. J. Med. Sci. Sports 27, 2059–2069. doi: 10.1111/sms.12855

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: performance, expertise, biathlon, cross-country skiing, rifle shooting, interdisciplinary, social context, big data

Citation: Heinrich A, Stoll O and Cañal-Bruland R (2021) A Biopsychosocial Framework to Guide Interdisciplinary Research on Biathlon Performance. Front. Psychol. 12:671901. doi: 10.3389/fpsyg.2021.671901

Received: 24 February 2021; Accepted: 18 March 2021;
Published: 29 April 2021.

Edited by:

Selenia Di Fronso, University of Studies G. d'Annunzio Chieti and Pescara, Italy

Reviewed by:

Marko S. Laaksonen, Mid Sweden University, Sweden
Germano Gallicchio, Bangor University, United Kingdom

Copyright © 2021 Heinrich, Stoll and Cañal-Bruland. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Amelie Heinrich, amelie.heinrich@sport.uni-halle.de; Oliver Stoll, oliver.stoll@sport.uni-halle.de

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.