A Systematic Review of the Factors Associated with Performance in Non-Elite Runners

TL;DR

This review identifies factors affecting performance in non-elite runners, highlighting inconsistencies in terminology and how predictors vary by race distance.

Contribution

The study systematically reviews and categorizes factors influencing performance in non-elite runners across different race distances.

Findings

Performance decline is linked to body composition, smoking, BMI, alcohol, and weather.

Training, physiological, and social variables positively correlate with performance.

Physiological factors become less important in longer races like marathons and ultramarathons.

Abstract

Background: We aimed to (i) identify the factors associated with performance in non-elite runners, (ii) present the terms and definitions/attributes used to characterize runners, and (iii) identify how performance has been operationalized. Methods: Our search was conducted using the databases PubMed, Web of Science, Medline Ovid, Cochrane, PsycInfo, Scielo, Scopus, and SportDiscus in October 2023 and updated in February 2026. Original articles that assessed factors associated with performance in non-elite runners competing in distances ranging from 5 km to ultramarathons were included. The findings were summarized by race distance. The Joanna Briggs Institute Analytical Cross-Sectional Studies critical appraisal tool was used for quality assessment. Results: A total of 4151 studies were identified, and 66 studies were included in the final selection. “Recreational” and “athletes” were the most used terms, and finish time was the most common indicator of performance. Performance decline was influenced by arm circumference and mid-axillary skinfold thickness, smoking, body mass index, alcohol consumption, and weather characteristics. Training variables, physiological determinants, and social variables were positively related to performance. Conclusions: The field struggles with a lack of clarity regarding the nomenclature and criteria used to categorize runners. The relevance of a predictor differs according to race distance, with physiological aspects becoming less important at higher distances (i.e., marathon and ultramarathon).

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