ArticleClinics (Sao Paulo, Brazil)2026
Predictive factors for running economy in female recreational runners.
Article in Clinics (Sao Paulo, Brazil), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
purposeTo assess the predictive value of age, sport experience, lower-limb flexibility, lean mass, Fat percentage (%FAT), Maximal Oxygen consumption (V̇O
methodsA total of 61 female recreational runners aged 20-60 yr participated in this study. RE was evaluated based on the Energy Cost of running (EC). Additional parameters measured included V̇O
resultsEC was significantly associated with %FAT (r = 0.629, p < 0.001), flexibility (r = -0.388, p = 0.002), lean mass (r = -0.330, p = 0.009), and MAS (r = -0.516, p < 0.001). No significant correlations were observed between RE and age (r = 0.017, p = 0.896), sport experience (r = -0.119, p = 0.360), V̇O
conclusionThese findings indicate that %FAT and MAS were the key predictors of RE in female recreational runners, with higher %FAT associated with poorer RE and greater MAS correlating with improved RE. However, MAS showed a borderline association with EC (p = 0.052), suggesting a potential but cautious interpretation as a predictor. These insights underscore the importance of training strategies that optimize body composition and aerobic performance to enhance RE in female recreational runners.
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