Running economy in long-distance runners is positively affected by running experience and negatively by aging

• Published in: Physiology & behavior 2023-01, Vol.258, p.114032-114032, Article 114032
• Main Authors: dos Anjos Souza, Vinícius Ribeiro, Seffrin, Aldo, da Cunha, Ronaldo Alves, Vivan, Lavínia, de Lira, Claudio Andre Barbosa, Vancini, Rodrigo Luiz, Weiss, Katja, Knechtle, Beat, Andrade, Marilia Santos
• Format: Article
• Language: English
• Subjects: Aging; behavior; blood; energy costs; lactic acid; locomotion; oxygen; peak oxygen uptake; regression analysis; Running economy; Running experience
• ISSN: 0031-9384; 1873-507X
• DOI: 10.1016/j.physbeh.2022.114032

•The number of years of running experience has a positive effect on running economy, but it is insufficient to overcome the negative effect of the aging process.•Running economy was significantly reduced in participants aged ≥60 years compared with that in younger athletes. The maximum oxygen uptake (V˙O2max), the maximum rate of oxygen that can be sustained before the onset of blood lactate accumulation, and the metabolic cost of locomotion are the main physiological factors associated with long-distance running performance. The latter is known as the running economy. Generally, runners reach peak performance in long races between 25 and 30 years of age, with a progressive decline occurring thereafter. However, it is not known whether the running economy is affected or how it is affected by aging. To investigate the effect of age and years of running experience on the running economy of amateur long-distance runners aged 20–80 years. Sixty-nine recreational long-distance runners, divided into five age groups according to decade of life, participated in this study: Group 1 (n= 9) 27.2 ± 1.3 years, Group 2 (n= 18) 35.9 ± 2.2 years, Group 3 (n= 17) 43.4 ± 2.8 years, Group 4 (n= 17) 53.0 ± 2.3 years, and Group 5 (n= 8) 65.5 ± 2.9 years. For running economy assessment, oxygen cost (OC) and energy cost (EC) were measured. Furthermore, the participants were interviewed on their running experience. For EC, the two independent variables composing the regression model were age (ß = 0.703, t= 5.443, p < 0.001) and running experience (ß = −0.230, t = −1.785, p= 0.07), and 34% of the energy cost variation can be explained by these two factors. EC and OC were compared among the groups. There were no significant differences between Groups 1 and 2 (p= 0.999), Groups 1 and 3 (p= 1.000), and Groups 1 and 4 (p= 0.528). However, Group 5 had a significantly higher energy cost than Group 1 (p < 0.001), Group 2 (p < 0.001), Group 3 (p < 0.001) and Group 4 (p < 0.001). The number of years of running experience has a positive effect on running economy, but it is insufficient to overcome the negative effect of the aging process. Furthermore, running economy was significantly worse in participants aged ≥60 years compared with that in younger athletes.