What Encourages Physically Inactive People to Start Running? An Analysis of Motivations to Participate in Parkrun and City Trail in Poland

Malchrowicz-Mośko, Ewa; León-Guereño, Patxi; Tapia-Serrano, Miguel Ángel; Sánchez‐Miguel, Pedro Antonio; Waśkiewicz, Zbigniew

doi:10.3389/fpubh.2020.581017

Cited by 19 publications

(23 citation statements)

References 46 publications

(49 reference statements)

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“…This is a descriptive, quantitative, cross-sectional study. Research data were collected during three different events taking place in Poland-the 2020 Karkonosze Winter Ultramarathon (held in March 2020 in Karpacz) [20], the 20th PKO Poznan Marathon (held in October 2019 in Poznan) [37], and 5K runs-the Parkrun Poznan and City Trail (held in March 2020 in Poznan) [38]. The studies involved 267 ultramarathoners, 493 marathon runners, and 165 Parkrun and City Trail participants.…”

Section: Design and Participantsmentioning

confidence: 99%

“…So far, however, marital status and different age categories have been extremely rarely analyzed in relation to the motives for participation in ultramarathon, marathon, and 5K runs [22,37,38]. Emerging single studies, however, have never been verified for differences at different distances within the same sociocultural environment [39,40].…”

Section: Introductionmentioning

confidence: 99%

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Motivational Differences between 5K Runners, Marathoners and Ultramarathoners in Poland

et al. 2021

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The aim of the study was to determine the reasons for practicing different running distances (5K run, marathon, and ultramarathon), and to analyze the differences in each type according to gender, age, and marital status. An empirical study was conducted during the 2020 Karkonosze Winter Ultramarathon, 20th PKO Poznan Marathon, and 5K run—Parkrun Poznan and City Trail, over the course of which we interviewed 925 runners. A total of 267 ultramarathoners, 493 marathon runners, and 165 Parkrun and City Trail participants took part in the cross-sectional study, which used the diagnostic survey method. The questionnaire employed the division of motives used by the Motivation of Marathoners Scale (MOMS) by Masters et al., adapted to the Polish language by Dybała. No significant differences were found in any of the disciplines based on gender or marital status, although the results showed that weight concern increased with increasing age range in all the running distances analyzed. In addition, in 5K run and marathon runners, weight concern decreased in the 36 to 50 age range, but subsequently increased in those over 51 years of age. Therefore, it will be important for coaches and other professionals to consider athletes’ age when trying to understand their motives to participate in different disciplines.

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Section: Design and Participantsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Motivational Differences between 5K Runners, Marathoners and Ultramarathoners in Poland

et al. 2021

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“…This information shows to what extent mass recreational events on water promote an active lifestyle. A similar study was carried out on recreational runs for amateurs, e.g., Park Run -participants rated the level of encouragement at 4.99 on a 7-point Liker scale (Malchrowicz-Mośko et al, 2020b), while in the case of water events for amateurs, this was assessed at a slightly higher level. It is therefore deemed worthwhile for water sports events to become as popular as mass running events, as they promote active lifestyle to the same degree among amateurs.…”

Section: Discussionmentioning

confidence: 99%

The Impact of Water Sporting Events on Attitudes Toward Physical Activity: Motivational Profiles of Participants in Modern and Traditional Water Events

et al. 2021

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The aim of this paper was to analyze the relationship between attitudes toward physical activity and participation in water sports events and to recognize the main motives for involvement in these kinds of events. A written paper–pencil diagnostic survey was conducted among 394 participants in two traditional and two modern sports events on water held in Poland to ascertain whether innovative (modern) events are needed in society, and whether they cause an increase in interest in physical activity (more than traditional events). The research results showed that modern sports events on water did not have any more power to attract physically inactive people than traditional water events, did not produce a greater desire to lead an active lifestyle, and did not encourage people to more regularly practice water sports. Moreover, modern events, compared to traditional events, were only a one-time experience and the people who completed survey often wanted to return to traditional sports events which provided participants with greater positive emotions than a modern event. In the case of socio-demographical variables, there was no statistically significant relationship between gender and choice of modern or traditional event, but older people were more likely to choose a traditional event than younger people; modern water events were an attractive option primarily for young people under 30 years of age, furthermore, modern events more often attracted people who had completed higher education. However, it turned out that a modern event on water often attracted more people who had had no experience in this sport discipline rather than people who chose traditional water events. In a sense, modern events are therefore effective in promoting water sports in Polish society. We also distinguished five main groups of participants: healthy lifestyle managers, lovers of sports emotions, water sports malcontents, water sports enthusiasts, and neutrals to water sports. Additionally, we looked into gender-related motives for participation in modern and traditional water events: social and health-related motives proved to be more important for women and men who participated in modern water events. The research results presented in the article expand on the current state of knowledge about mass participation in sport, the impact of sporting events on the promotion of physical activity, and show the motivation behind participation in modern and traditional water sporting events.

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“…For instance, the number of finishers in the New York City Marathon doubled from the 1980s to the 2010s ( Vitti et al, 2020 ). This implied that many runners competed in a marathon race for their first time or had a small sport experience, and consequently, the need to aid such runners has been documented ( Keogh et al, 2020 ; Malchrowicz-Mośko et al, 2020 ). An important question in recreational marathon runners has been the selection of a realistic goal, i.e., race pace that would allow a successful finish.…”

Section: Introductionmentioning

confidence: 99%

Development and Validation of Prediction Equation of “Athens Authentic Marathon” Men’s Race Speed

2021

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AimDespite the increasing popularity of outdoor endurance running races of different distances, little information exists about the role of training and physiological characteristics of recreational runners. The aim of the present study was (a) to examine the role of training and physiological characteristics on the performance of recreational marathon runners and (b) to develop a prediction equation of men’s race time in the “Athens Authentic Marathon.”MethodsRecreational male marathon runners (n = 130, age 44.1 ± 8.6 years)—who finished the “Athens Authentic Marathon” 2017—performed a series of anthropometry and physical fitness tests including body mass index (BMI), body fat percentage (BF), maximal oxygen uptake (VO2max), anaerobic power, squat, and countermovement jump. The variation of these characteristics was examined by quintiles (i.e., five groups consisting of 26 participants in each) of the race speed. An experimental group (EXP, n = 65) was used to develop a prediction equation of the race time, which was verified in a control group (CON, n = 65).ResultsIn the overall sample, a one-way ANOVA showed a main effect of quintiles on race speed on weekly training days and distance, age, body weight, BMI, BF, and VO2max (p ≤ 0.003, η2 ≥ 0.121), where the faster groups outscored the slower groups. Running speed during the race correlated moderately with age (r = −0.36, p < 0.001) and largely with the number of weekly training days (r = 0.52, p < 0.001) and weekly running distance (r = 0.58, p < 0.001), but not with the number of previously finished marathons (r = 0.08, p = 0.369). With regard to physiological characteristics, running speed correlated largely with body mass (r = −0.52, p < 0.001), BMI (r = −0.60, p < 0.001), BF (r = −0.65, p < 0.001), VO2max (r = 0.67, p < 0.001), moderately with isometric muscle strength (r = 0.42, p < 0.001), and small with anaerobic muscle power (r = 0.20, p = 0.021). In EXP, race speed could be predicted (R2 = 0.61, standard error of the estimate = 1.19) using the formula “8.804 + 0.111 × VO2max + 0.029 × weekly training distance in km −0.218 × BMI.” Applying this equation in CON, no bias was observed (difference between observed and predicted value 0.12 ± 1.09 km/h, 95% confidence intervals −0.15, 0.40, p = 0.122).ConclusionThese findings highlighted the role of aerobic capacity, training, and body mass status for the performance of recreational male runners in a marathon race. The findings would be of great practical importance for coaches and trainers to predict the average marathon race time in a specific group of runners.

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What Encourages Physically Inactive People to Start Running? An Analysis of Motivations to Participate in Parkrun and City Trail in Poland

Cited by 19 publications

References 46 publications

Motivational Differences between 5K Runners, Marathoners and Ultramarathoners in Poland

Motivational Differences between 5K Runners, Marathoners and Ultramarathoners in Poland

The Impact of Water Sporting Events on Attitudes Toward Physical Activity: Motivational Profiles of Participants in Modern and Traditional Water Events

Development and Validation of Prediction Equation of “Athens Authentic Marathon” Men’s Race Speed

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