| Literature DB >> 34789828 |
Víctor Rodrigo-Carranza1, Fernando González-Mohíno1,2, Jesús Santos Del Cerro3, Jordan Santos-Concejero4, José María González-Ravé5.
Abstract
The NIKE Vaporfly shoe was introduced in May 2017 as part of the original #Breaking2 Project (an event aimed to run the first marathon under 2 h). This new advanced shoe technology (NAST) changed the footwear design conception. The aim of this study was (i) to analyse the effect of NAST in men's marathon performance, (ii) to analyse whether the changes in the environmental constraints (temperature and wind) and orography of the marathons, age and birthplace of the runners has changed from 2015 to 2019 and (iii) to analyse the impact of NAST on the historical 50 best performances. Data from top-100 men's marathon performances were collected in that timeframe. The shoes used by the athletes were identified (in 91.8% of the cases) by publicly available photographs. External and environmental conditions of each marathon and age and birthplace of the runners were also analysed. Marathon performances improved from 2017 onwards between 0.75 and 1.50% compared to 2015 and 2016 (p < 0.05). In addition, the improvement was greater in the upper deciles than in the lower ones (p < 0.001). Runners wearing NAST ran ~ 1% faster in marathon compared to runners that did not use it (p < 0.001). When conducting an individual analysis of athletes who ran with and without NAST, 72.5% of the athletes who completed a marathon wearing NAST improved their performance by 0.68% (p < 0.01). External and environmental conditions, age or birthplace of runners seems not to have influenced this performance improvement. NAST has had a clear impact on marathon performance unchanged in the environmental constraints (temperature and wind), orography, age, and birthplace of the runners but with differences between venues.Entities:
Year: 2021 PMID: 34789828 PMCID: PMC8599511 DOI: 10.1038/s41598-021-01807-0
Source DB: PubMed Journal: Sci Rep ISSN: 2045-2322 Impact factor: 4.379
Figure 1Distribution of the individual and average finishing times from the top-100 performances per year from 2015 to 2019 (A). Distribution of the individual performances and average times from runners with and without NAST (B). **p ≤ 0.01; ***p ≤ 0.001.
Figure 2Analysis of average finishing times per decile from 2015 to 2019. & Mean difference between all years; Δ differences between 2015, 2016 and 2017 with 2018 and 2019; # differences between 2018 and 2019. *p ≤ 0.05, ***p ≤ 0.001.
Results of the age, environment and marathon characteristics across the years analyzed.
| Years | One-way ANOVA | ||||||
|---|---|---|---|---|---|---|---|
| 2015 | 2016 | 2017 | 2018 | 2019 | Effect size (η2) | ||
| Age (years) | 28.55 ± 4.10 (20–42) | 27.97 ± 4.26 (20–43) | 27.36 ± 3.65 (21–35) | 28.36 ± 4.03 (21–42) | 28.03 ± 4.11 (21–38) | 0.28 | 0.01 |
| Temperature (ºC) | 12.28 ± 4.38⍏ (6–25) | 13.64 ± 4.38 (8–25) | 13.23 ± 3.47 (6–24) | 13.66 ± 4.68 (5–22) | 14.07 ± 4.34 (5–24) | 0.04 | 0.02 |
| Wind (km/h) | 9.65 ± 5.14#⍏ (1–27) | 9.63 ± 4.46#⍏ (3–22) | 10.41 ± 6.81 (4–32) | 12.20 ± 6.61 (4–31) | 12.39 ± 6.74 (4–28) | < .001 | 0.03 |
| Average altitude (m) | 60.80 ± 94.78 (0–466) | 74.89 ± 230.03 (0–1590) | 41.73 ± 74.61 (0–399) | 64.32 ± 92.82 (0–399) | 61.92 ± 100.05 (0–399) | 0.50 | 0.00 |
| Ascend (m) | 145.60 ± 91.38 (14–349) | 146.06 ± 85.30 (14–327) | 148.26 ± 90.43 (14–327) | 122.65 ± 81.91 (14–349) | 130.18 ± 78.79 (1–349) | 0.21 | 0.01 |
| Descend (m) | 154.74 ± 95.59 (14–347) | 151.49 ± 90.87 (14–328) | 153.78 ± 95.77 (14–328) | 126.34 ± 89.09 (14–347) | 133.15 ± 82.51 (4–347) | 0.14 | 0.02 |
Data are presented as mean ± standard deviation and range (minimum–maximum).
Post hoc analysis: #Different from 2018 (p < 0.05); ⍏Different from 2019 (p < 0.05).
Figure 3Average finishing times in different venues of athletes with and without LBS. * p ≤ 0.05, *** p ≤ 0.001. Participants in each venue were: 44 in Amsterdam, 22 in Berlin, 35 in Dubai, 18 in Eindhoven, 20 in Frankfurt, 10 in Fukuoka, 16 in Hamburg, 27 in London, 27 in Paris, 13 in Praha, 25 in Rotterdam, 35 in Seoul, 32 in Tokyo, 46 in Valencia.