Virtual Training of Endurance Cycling – A Summary of Strengths, Weaknesses, Opportunities and Threats

Virtual online training has emerged as one of the top 20 worldwide fitness trends for 2021 and continues to develop rapidly. Although this allows the cycling community to engage in virtual training and competition, critical evaluation of virtual training platforms is limited. Here, we discuss the strengths, weaknesses, opportunities and threats associated with virtual training technology and cycling in an attempt to enhance awareness of such aspects. Strengths include immersive worlds, innovative drafting mechanics, and versatility. Weaknesses include questionable data accuracy, inadequate strength and reliability of power-speed algorithms. Opportunities exist for expanding strategic partnerships with major cycling races, brands, and sponsors and improving user experience with the addition of video capture and “e-coaching.” Threats are present in the form of cheating during competition, and a lack of uptake and acceptance by a broader community.

Differences in Lower Limb Strength and Structure After 12 Weeks of Resistance, Endurance, and Concurrent Training

Purpose: To investigate strength and structural adaptations after 12 weeks of resistance, endurance cycling, and concurrent training. Methods: Thirty-two healthy males undertook 12 weeks of resistance-only (RT; n = 10), endurance-only (END; n = 10), or concurrent resistance and endurance training (CONC; n = 12). Biceps femoris long head (BFlh) architecture, strength (3-lift 1-repetition maximum), and body composition were assessed. Results: Fascicle length of the BFlh reduced 15% (6%) (P < .001) and 9% (6%) (P < .001) in the END and CONC groups postintervention, with no change in the RT group (−4% [11%], P = .476). All groups increased BFlh pennation angle (CONC: 18% [9%], RT: 14% [8%], and END: 18% [10%]). Thickness of the BFlh increased postintervention by 7% (6%) (P = .002) and 7% (7%) (P = .003) in the CONC and RT groups, respectively, but not in the END group (0% [3%], P = .994). Both the CONC and RT groups significantly increased by 27% (11%) (P < .001) and 33% (12%) (P < .001) in 3-lift totals following the intervention, with no changes in the END cohort (6% [6%], P = .166). No significant differences were found for total body (CONC: 4% [2%], RT: 4% [2%], and END: 3% [2%]) and leg (CONC: 5% [3%], RT: 6% [3%], and END: 5% [3%]) fat-free mass. Conclusions: Twelve weeks of RT, END, or CONC significantly modified BFlh architecture. This study suggests that conventional resistance training may dampen BFlh fascicle shortening from cycling training while increasing strength simultaneously in concurrent training. Furthermore, the inclusion of a cycle endurance training stimulus may result in alterations to hamstring architecture that increase the risk of future injury. Therefore, the incorporation of endurance cycling training within concurrent training paradigms should be reevaluated when trying to modulate injury risk.

Women, older age, faster cycling speed and increased wind speeds are independent risk factors for acute injury-related medical encounters during a 109 km mass community-based participation cycling event: a 3-year study in 102251 race starters—SAFER XII

BackgroundThere are limited data on acute injury-related medical encounters (injuries) in endurance cycling events.ObjectiveTo determine the risk factors for injuries during a mass community-based endurance cycling event.DesignRetrospective, cross-sectional study.SettingCape Town Cycle Tour (109 km), South Africa.Participants102 251 race starters.MethodsAll injuries for 3 years were recorded by race medical doctors and nurses. Injuries were grouped into main anatomical area of injury, and a Poisson regression model was used to determine the risk factors associated with injuries.ResultsThe four injury risk factors associated with all injuries during an endurance cycling event were sex (women vs men, p<0.0001), older age (p=0.0005), faster cycling speed (p<0.0001) and higher average individualised Wind Speed (aiWindSpeed, p<0.0001). The only risk factor for serious/life-threatening injuries was women (p=0.0413). For specific main anatomical areas: head/neck (women), upper limb (women, older age, faster cyclists), trunk (women, higher aiWindSpeed), and lower limb (higher aiWindSpeed).ConclusionWomen, older age, faster cycling speed and higher aiWindSpeed were all risk factors for acute injuries during a mass community-based endurance cycling event. These risk factors should help inform race organisers and medical teams on race day to ensure the best medical care is given, and effective acute injury prevention programmes are disseminated.