Power Assessment in Road Cycling: A Narrative Review

Sitko, Sebastian (Universidad de Zaragoza) ; Cirer-Sastre, Rafael ; Corbi, Francisco ; Lopez-Laval, Isaac (Universidad de Zaragoza)

Resumen: Nowadays, the evaluation of physiological characteristics and training load quantification in road cycling is frequently performed through power meter data analyses, but the scientific evidence behind this tool is scarce and often contradictory. The aim of this paper is to review the literature related to power profiling, functional threshold testing, and performance assessment based on power meter data. A literature search was conducted following preferred reporting items for review statement (PRISMA) on the topic of {"cyclist" OR "cycling" AND "functional threshold" OR "power meter"}. The reviewed evidence provided important insights regarding power meter-based training: (a) functional threshold testing is closely related to laboratory markers of steady state; (b) the 20-min protocol represents the most researched option for functional threshold testing, although shorter durations may be used if verified on an individual basis; (c) power profiling obtained through the recovery of recorded power outputs allows the categorization and assessment of the cyclist''s fitness level; and (d) power meters represent an alternative to laboratory tests for the assessment of the relationship between power output and cadence. This review elucidates the increasing amount of studies related to power profiling, functional threshold testing, and performance assessment based on power meter data, highlighting the opportunity for the expanding knowledge that power meters have brought in the road cycling field.

Idioma: Inglés

DOI: 10.3390/su12125216

Año: 2020

Publicado en: Sustainability (Switzerland) 12, 12 (2020), 5216 [14 pp.]
ISSN: 2071-1050

Factor impacto JCR: 3.251 (2020)

Categ. JCR: ENVIRONMENTAL SCIENCES rank: 124 / 273 = 0.454 (2020) - Q2 - T2
Categ. JCR: ENVIRONMENTAL STUDIES rank: 60 / 125 = 0.48 (2020) - Q2 - T2
Categ. JCR: GREEN & SUSTAINABLE SCIENCE & TECHNOLOGY rank: 30 / 44 = 0.682 (2020) - Q3 - T3
Categ. JCR: GREEN & SUSTAINABLE SCIENCE & TECHNOLOGY rank: 6 / 9 = 0.667 (2020) - Q3 - T3

Factor impacto SCIMAGO: 0.611 - Energy Engineering and Power Technology (Q1) - Environmental Science (miscellaneous) (Q1) - Renewable Energy, Sustainability and the Environment (Q1) - Management, Monitoring, Policy and Law (Q1) - Geography, Planning and Development (Q1)

Tipo y forma: Revisión (Versión definitiva)

Área (Departamento): Área Educación Física y Depor. (Dpto. Fisiatría y Enfermería)