Mabliny Thuany1, Beat Knechtle2, Lee Hill3, Thomas Rosemann4, Thayse Natacha Gomes5. 1. Centre of Research, Education, Innovation and Intervention in Sport (CIFI2D), Faculty of Sports, University of Porto, 4200-450 Porto, Portugal. 2. Medbase St. Gallen Am Vadianplatz, Vadianstrasse 26, 9001 St. Gallen, Switzerland. 3. Division of Gastroenterology and Nutrition, Department of Pediatrics, McMaster University, Hamilton, ON L8N 3Z5, Canada. 4. Institute of Primary Care, University of Zurich, 8091 Zurich, Switzerland. 5. Department of Physical Education, Federal University of Sergipe (UFS), São Cristóvão 49100-000, Brazil.
Abstract
BACKGROUND: The purpose of this study was to establish sex-specific percentile curves and values for the running pace of Brazilian non-professional runners. METHODS: The sample comprised 1152 amateur runners aged 18-72 (61.8% males), from the five Brazilian regions. The runners answered an online questionnaire providing information about their biological (sex, age, height, weight) and training (volume and frequency/week, running pace) characteristics. Using 25th, 50th, and 75th percentile, the running pace was computed for women and men by age groups and by running distances (5 km, 10 km, 21 km, and 42 km). Sex- and age-specific percentile curves (10th, 25th, 50th, 75th, and 90th) were created through the Lambda Mu Sigma method. RESULTS: For all ages and distance, men performed better than women, and a decrease in the performance was observed across age groups. Among male runners, the beginning of their thirties and the end of their forties seem to be the moments where they observed substantial improvements in running pace; among female runners, this improvement phase was observed to be more pronounced toward the end of their forties. CONCLUSIONS: Percentile values of running pace could help coaches during training programs and runners to better understand "how well" they are comparing against their peers.
BACKGROUND: The purpose of this study was to establish sex-specific percentile curves and values for the running pace of Brazilian non-professional runners. METHODS: The sample comprised 1152 amateur runners aged 18-72 (61.8% males), from the five Brazilian regions. The runners answered an online questionnaire providing information about their biological (sex, age, height, weight) and training (volume and frequency/week, running pace) characteristics. Using 25th, 50th, and 75th percentile, the running pace was computed for women and men by age groups and by running distances (5 km, 10 km, 21 km, and 42 km). Sex- and age-specific percentile curves (10th, 25th, 50th, 75th, and 90th) were created through the Lambda Mu Sigma method. RESULTS: For all ages and distance, men performed better than women, and a decrease in the performance was observed across age groups. Among male runners, the beginning of their thirties and the end of their forties seem to be the moments where they observed substantial improvements in running pace; among female runners, this improvement phase was observed to be more pronounced toward the end of their forties. CONCLUSIONS: Percentile values of running pace could help coaches during training programs and runners to better understand "how well" they are comparing against their peers.
Authors: Volker Scheer; Stefania Di Gangi; Elias Villiger; Pantelis T Nikolaidis; Thomas Rosemann; Beat Knechtle Journal: Res Sports Med Date: 2020-06-23 Impact factor: 4.674
Authors: Mark Janssen; Ruben Walravens; Erik Thibaut; Jeroen Scheerder; Aarnout Brombacher; Steven Vos Journal: Int J Environ Res Public Health Date: 2020-03-27 Impact factor: 3.390