| Literature DB >> 35682442 |
Christian Weich1, Julia Schüler1, Wanja Wolff1,2.
Abstract
Sport and exercise can be boring. In the general population, thinking of sports as boring has been linked to exercising less. However, less is known about the role of boredom in people who participate in ultra-endurance competitions: Do these athletes also associate their sports with boredom, and does boredom pose a self-regulatory challenge that predicts if they encounter a crisis during an ultra-endurance competition? Here, we investigate these questions with a sample of N = 113 (n = 34 female) competitors of a 24 h hour running competition, aged M = 37.6 ± 13.8 years. In this study, n = 23 very extreme athletes competed as single starters or in a relay team of 2, and n = 84 less extreme athletes competed in relay teams of 4 or 6. Before the run, athletes completed self-report measures on sport-specific trait boredom, as well as the degree to which they expected boredom, pain, effort, and willpower to constitute self-regulatory challenges they would have to cope with. After the run, athletes reported the degree to which they actually had to deal with these self-regulatory challenges and if they had faced an action crisis during the competition. Analyses revealed that very extreme athletes displayed a significantly lower sport-specific trait boredom than less extreme athletes (p = 0.024, d=-0.48). With respect to self-regulatory challenges, willpower, pain, and effort were expected and reported at a much higher rate than boredom. However, only boredom was as a significant predictor of experiencing a crisis during the competition (odds ratio = 12.5, p = 0.02). Our results show that boredom also matters for highly active athletes. The fact that the experience of boredom-and not more prototypical competition-induced challenges, such as pain or effort-were linked to having an action crisis highlights the relevance of incorporating boredom into the preparation for a race and to the performance management during competition.Entities:
Keywords: action crisis; boredom; ultra-endurance running
Mesh:
Year: 2022 PMID: 35682442 PMCID: PMC9180276 DOI: 10.3390/ijerph19116859
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 4.614
Participation, age, and training, as well as event performance statistics.
| Very Extreme Athletes | ||||||
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| male | 18 | 44.4 ± 14.9 | 72.8 ± 33.6 | 110.7 ± 55.7 | 197 | 1.27 ± 0.37 |
| female | 5 | 37.0 ± 9.4 | 60.0 ± 39.6 | 82.5 ± 57.3 | 123 | 1.32 ± 0.43 |
| all | 23 | 43.9 ± 13.7 | 72.6 ± 34.0 | 104.8 ± 54.4 | 197 | 1.28 ± 0.37 |
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| male | 54 | 38.5 ± 13.3 | 37.5 ± 21.4 | 54.9 ± 14.3 | 101 | 1.54 ± 0.53 |
| female | 30 | 31.8 ± 12.4 | 33.6 ± 15.5 | 43.8 ± 13.2 | 80 | 1.46 ± 0.35 |
| all | 84 | 36.0 ± 13.3 | 35.3 ± 19.6 | 50.7 ± 14.8 | 101 | 1.50 ± 0.46 |
Figure 1The different questionnaires or single items were not fully answered by all participants. This overview shows transparently which quantity of responses were included in the statistics. The visualization shows, analogous to the applied statistical methods, data for the question about trait boredom, a separation into very extreme and less extreme, as well as for all other questions answered by the whole sample.
Figure 2Raincloud plots comparing the ultra-endurance athletes (denoted as “very extreme”) with their “less extreme” peers.
Figure 3Post-race (experienced) rating of all participants concerning relevant challenges.
Figure 4Heatmap reporting correlations (coefficient. r in the according box) between all challenges and the sport-specific boredom score. Significant cases are flagged with asterisks (* p < 0.05, ** p < 0.01, *** p < 0.001).
Figure 5Boredom and probability of experiencing a crisis.