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The purposes of this study were 1) to analyse the different pacing behaviours based on athlete's performance and 2) to determine whether significant differences in each race split and the runner's performance implied different race profiles. A total of 2295 runners, which took part in Berlin's marathon (2017), met the inclusion criteria. 4 different groups were created based on sex and performance.

Muñoz-Pérez I, Moreno-Pérez D, Cardona-González C, Esteve-Lanao J. Prediction of race pace in long distance running from blood lactate concentration around race pace. J. Hum. Sport Exerc. Vol. 7, No. 4, pp. 763-769, 2012. The aim of this study was to develop an equation for predicting the performance in 10 kilometers road race (10k), Half Marathon (21k) and Marathon (42k), using the blood lactate concentration (bLA) close to race pace. 64 runners of different levels completed the study (10k (n = 19): 32min-56min, 21k (n=24): 1h04min-1h57min; 42k (n=21): 2h38min-4h02min). A few days before their main competition, subjects conducted a test in track at constant pace over 2400m. They ran at two different speeds that were slightly lower (V1) or similar / faster than the competition expected pace (V2). bLa samples were taken during and after every pace. The results did not show any mathematical model to estimate the 10k mark. In the 21k, it was found a model that included V2 and bLA2: V21k (km / h) = (V2*1.085) + (-0.282*bLA2) -0.131, r 2 = 0.97, ETE = 0.414 km / h. In the 42k, it was found a model that included V1 and BLA1: V42k (km/h) = (V1*1.085) + (-0.429*BLA1) -0.170, r 2 = 0.81, ETE = 0.626 km/h. Two equations were capable of predicting performance, for 21k and 42k through bla concentration at a pace close to the expected for the competition.

The objective of this research was to evaluate the protections taken by ski and snowboard recreational athletes of the winter stations Sierra Nevada and Alto Campoo (Spain), regarding gender, age, and practiced sport. A total of 520 users participated, Sierra Nevada (n = 306 (58.8%)); Alto Campoo (n = 214 (42.2%)), 257 of them were men (49.4%) and 263 (50.6%) were women, from 6 to 64 years old, classified by 4 stages of development (Childhood (n = 106 (20.4%)); Teenagers (n = 110 (21.2%)); Youth (n = 101 (19.4%)); Adults (n = 203 (39.0%))). For the data collection, an Ad Hoc questionnaire was used (Socio-demographic data, use/no use of protection). The data revealed that 23.5% of the participants did not use any protection. Regarding the development stage, 1% of the children did not use any protection, neither did 3.1% of the teenagers, 6.7% of the youth, or 12.7% of the adults (p < 0.001). Regarding gender, a total of 17.1% of men did not use protection, and regarding women, 6.3% of them did not use it (p < 0.001). In relation to the practiced sport, 15.8% of the skiers did not use it against 7.7% of the snowboarders (p = 0.006). The use of protection for the practice in winter sports is not enough to reduce the injury risk in these sports and, in the worst cases, fatal accidents.