Reliability, Reproducibility and Individual Responses of Running Economy Measures in Different Advanced Footwear Technology Shoes

Purpose: This study aimed to evaluate the reliability and reproducibility of running economy measurements across multiple days and within the same day using 2 models of advanced footwear technology. Methods: Thirteen trained male runners (age: 27.6 [8.2] y; body mass: 64.4 [6.1] kg; height: 1.74 [0....

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Detalhes bibliográficos
Autores: Valero Martínez, Fernando, Alda Blanco, Alejandro, González-Mohíno Mayoralas, Fernando, Rodríguez Barbero Expósito, Sergio, Salinero Martín, Juan José
Formato: artículo
Fecha de publicación:2026
País:España
Recursos:Universidad de Castilla-La Mancha
Repositorio:RUIdeRA. Repositorio Institucional de la UCLM
OAI Identifier:oai:ruidera.uclm.es:10578/47621
Acesso em linha:https://journals.humankinetics.com/view/journals/ijspp/aop/article-10.1123-ijspp.2025-0649/article-10.1123-ijspp.2025-0649.xml
https://hdl.handle.net/10578/47621
Access Level:acceso abierto
Palavra-chave:Footwear assessment
Inter-session variability
Physiological variability
Submaximal running
Descrição
Resumo:Purpose: This study aimed to evaluate the reliability and reproducibility of running economy measurements across multiple days and within the same day using 2 models of advanced footwear technology. Methods: Thirteen trained male runners (age: 27.6 [8.2] y; body mass: 64.4 [6.1] kg; height: 1.74 [0.06] m) completed 4 treadmill sessions separated by 7 days. Two advanced footwear technology models were tested in a randomized crossover design. Each session included two 5-minute trials per shoe condition at 13 km·h-1. Reliability and reproducibility of running economy measures were evaluated using intraclass correlation coefficients (ICCs), SEM, coefficient of variation, and smallest worthwhile change. Results: Intrasession ICCs and coefficient of variations for oxygen cost and metabolic cost were excellent for both shoe conditions (.917 and .945; .921 and .948; ~1%). Intersession reliability was good (oxygen cost ICC = .819; metabolic cost ICC = .849), though coefficient of variations increased (~2%). No significant differences in metabolic variables were observed between footwear models (P = .05), and high variability was observed between individuals. Day-to-day variability affected oxygen cost and metabolic cost (P < .05), independent of shoe condition. Conclusion: Running economy measurements are highly reliable within sessions but demonstrate moderate variability across days. Despite mechanical differences in footwear conditions, no differences were observed between the 2 models. These findings highlight the importance of multitrial, multiday, and individual testing when evaluating footwear conditions.