ECSS Paris 2023: CP-AP10
INTRODUCTION: The aim of the present study was to investigate how exposition to slow compared to fast music during high-intensity rowing intervals affects performance, heart rate (HR), lactate, relative perceived exertion (RPE), and recovery. METHODS: The study followed an A/B crossover design where participants (N = 21) performed 5 x 500 m rowing intervals under 2 different conditions, fast and slow beat music. Primary endpoint was the difference in total rowing time between conditions. Differences in average heart rate (HR), average RPE as well as rowing interval times, RPE, and HR per interval between the fast and slow music conditions were secondary endpoints. For exploratory purpose, the drop of HR and lactate during the first 5 min after completion of the rowing intervals were analyzed. RESULTS: Participants had significantly shorter total rowing times while listening to fast compared to slow music (p = .009, rB = .59) with the greatest difference found during the 1st interval. Further, the 1st interval was significantly faster than the intervals 2–5 (p < .001). The largest drop in performance occurred during the fast music condition between the 1st and 2nd interval. While average HR in the slow music condition was significantly lower compared to the fast music condition (p = .03, rB = .48), no significant difference was found for average RPE (p = .47, rB = .02). Lactate values after completion of interval 5 differed significantly between groups with lower values in the slow music condition (p = .05, rB = .41) whereas no significant difference was found for lactate drop (p = .21, rB = .21). Contrary, participants showed a higher HR drop rate when listening to slow music (p = .05, rB = .42). CONCLUSION: While fast music improved performance without elevating RPE, slow music was superior in terms of recovery. Systematically tailoring music to the intended training stimulus offers broad potential for competitive sports as well as the fitness and health sector.
Read CV Lucas KochECSS Paris 2023: CP-AP10
INTRODUCTION: Running Economy (RE) and VO2,max are measures of the aerobic demand of running and have been described as useful predictors and critical components of running performance (P) [1, 2]. The purpose of this systematic review is to illustrate the relationship between VO2max, RE and P whereby all P measures have been converted to points using the World Athletics (WA) scoring tables. METHODS: A database search was carried out in Web of Science, Scopus and SportDiscus between the years 2007 and 2023. In accordance with a PRISMA checklist 33 studies providing 61 VO2max and P data sets (n = 694) and 27 RE and P data sets (n = 348) were included in this review. The relationships between VO2max and P and RE measured at 12 km/h (RE12km/h) and P were determined using linear regression analysis. RESULTS: There is a statistically significant correlation between VO2max and P (R2 = 0.80, p ≤ 0.001, alpha = 0.05) and no statistically significant correlation between RE12km/h and P (R2 = 0.08, p = 0.15, alpha = 0.05). These relationships were further broken down to observe potential differences between performances measured using distances < 5000m or ≥ 5000m. VO2max appears to demonstrate a stronger correlation with performance in distances ≥ 5000m (R2 = 0.83, p ≤ 0.001, alpha= 0.05 ). RE12km/h is not correlated with P at distances < 5000m or ≥ 5000m. CONCLUSION: This review suggests that VO2max is the dominant factor in the prediction of endurance running performance in events ranging from 800m to the marathon. Sub-divided into studies which measured performance over distances < or ≥ 5000m, VO2max appears to play an even stronger role in the prediction of longer distance performance. RE12km/h demonstrates no correlation of statistical significance with performance. References [1] J. T. Daniels, "A physiologists view of running economy," (in English), Medicine and Science in Sports and Exercise, Article vol. 17, no. 3, pp. 332-338, 1985. [2] C. Foster, J. Daniels, and R. Yarbrough, "Physiological and training correlates of marathon running performance," Australian Journal of Sports Medicine, no. Nov/Dec, p. 5, 1977.
Read CV Ian O SullivanECSS Paris 2023: CP-AP10