Effects of a Professional Objective Bike Fit on Power Output and Comfort

NCT ID: NCT06988384

Last Updated: 2025-05-30

Basic Information

• Recruitment Status: COMPLETED
• Clinical Phase: NA
• Total Enrollment: 12 participants
• Study Classification: INTERVENTIONAL
• Study Start Date: 2024-01-01
• Study Completion Date: 2024-12-31

Brief Summary

This study aims to evaluate whether an objective, data-driven bike fitting using the id match 3D motion capture system improves power output in recreational cyclists. Participants will complete two cycling performance tests, a 6-second Wingate Anaerobic Test (PPT6) and a 20-minute Functional Threshold Power (FTP) test, before and after receiving a professional bike fitting. The primary outcome is the change in power output on both tests. Secondary outcomes include subjective measures of comfort, pain, and perceived exertion. The goal is to determine whether bike fitting alone, independent of training, can enhance both performance and the overall riding experience.

Detailed Description

This is a prospective, interventional crossover study evaluating the impact of professional bike fitting on cycling performance and comfort in recreational cyclists. All participants must engage in structured physical activity at least twice per week (≥30 minutes per session), own a road or gravel bicycle, and are available for two laboratory visits within a 96-hour period. All participants must complete the PAR-Q+ and a health history questionnaire.

At Visit 1, participants will undergo baseline testing. Their current bike setup will be replicated on a Wattbike ergometer. Participants will complete two performance tests: a six-second peak power test (PPT6) and a 20-minute Functional Threshold Power (FTP) test. For the PPT6, participants perform a seated sprint from a dead stop following a five-minute warm-up and two-minute rest. Metrics collected include peak power (W), relative peak power (W/kg), cadence (rpm), and leg imbalance (%). The FTP test will be conducted on each participant's personal bicycle mounted to a Wahoo KICKR MOVE smart trainer. Power, cadence, and torque are recorded, along with physiological data captured using a Polar H10 heart rate monitor and a COSMED Quark CPET system to measure VO₂, VCO₂, and RER. Following these assessments, participants will receive a professional bike fitting using the id match Smart Bike system.

The id match system (Casella d'Asolo, Italy) uses 3D motion capture, static anthropometric scans (e.g., limb length, lumbar flexion, foot dimensions), and machine learning algorithms to optimize rider positioning. The fitting process adjusts variables such as saddle height, saddle setback, handlebar reach and drop, and cleat position. A certified id match fitter will perform each fitting, which is guided by participant-reported cycling history and pain ratings by body region on a 1-10 scale.

Between 48 and 96 hours after the initial visit, participants will return for Visit 2 and repeat both the PPT6 and FTP tests using their updated bike configuration. All equipment, testing protocols, and data collection methods remain consistent between visits.

Primary outcome measures include peak power and relative peak power (W/kg) from the PPT6, and FTP (W), relative FTP (W/kg), and average torque (ft-lb.) from the 20-minute FTP test. Secondary outcomes include perceived exertion (Borg RPE 6-20 scale), discomfort (Likert scale 1-20), region-specific pain, and biomechanical changes to bike setup (e.g., saddle height, setback, cleat position, joint angles).

Conditions

Healthy Population

Study Design

• Allocation Method: NA
• Intervention Model: SINGLE_GROUP
• Primary Study Purpose: OTHER
• Blinding Strategy: NONE

Study Groups

idmatch bike fitting

Participants will undergo bike fitting using the idmatch system, which utilizes three-dimensional motion capture to optimize rider position.

Group Type: EXPERIMENTAL

Bike fitting

Intervention Type: OTHER

Participants underwent bike fitting using the idmatch system, which utilizes three-dimensional motion capture to optimize rider position.

Interventions

Bike fitting

Participants underwent bike fitting using the idmatch system, which utilizes three-dimensional motion capture to optimize rider position.

Intervention Type: OTHER

Eligibility Criteria

Inclusion Criteria

Participates in structured exercise more than 2 times per week (≥ 30 minutes per session) Owns a road or gravel bicycle Available for two laboratory visits within a 96-hour period Passes the PAR-Q+ questionnaire

Exclusion Criteria

Has previously undergone a professional bicycle fitting

• Minimum Eligible Age: 18 Years
• Maximum Eligible Age: 64 Years
• Eligible Sex: ALL
• Accepts Healthy Volunteers: Yes

Sponsors

University of Wisconsin, River Falls

OTHER

Sponsor Role: lead

Responsible Party

Gregory Ruegsegger

Associate Professor

Responsibility Role: PRINCIPAL_INVESTIGATOR

Principal Investigators

Gregory Ruegsegger, Ph.D.

Role: PRINCIPAL_INVESTIGATOR

University of Wisconsin, River Falls

Locations

University of Wisconsin - River Falls

River Falls, Wisconsin, United States

Countries

United States

Other Identifiers

FY2024-7

Identifier Type: -

Identifier Source: org_study_id