Cycling Race Research Articles

Assessing ambient temperature measurements in road cycling races

The impact of heat stress on sports performance is a highly relevant topic. Environmental factors, such as temperature and humidity, play a significant role in determining athletic performance. Cycling computers are commonly used in road cycling to capture various data, including temperature. However, it is crucial to emphasize the importance of accurately measuring ambient temperature. This study aimed to assess the reliability and validity of the Garmin Edge 830 cycling computers in measuring ambient temperature during road cycling competitions. We analyzed temperature data collected by 12 different cycling computers. We focused on assessing these devices’ reliability and validity compared to measurements obtained from an official meteorological station. The interclass correlation coefficient between the devices was 0.468 (95% CI: 0.254 to 0.626; p < 0.001). The temperature readings exhibited a significant variability across the different devices. Furthermore, when comparing the data with the readings from the meteorological station, there was no agreement, as indicated by a Lin's Concordance Coefficient (LCC) of 0.398 and a Mean Absolute Percent Error (MAPE) of 8.87%. This research raises concerns regarding the reliability and validity of cycling computer devices for measuring ambient temperature.

Open sternal fracture with bilateral dislocation of the sternoclavicular joints after a high-speed bicycle accident: a case report

BackgroundOnly a few cases of bilateral traumatic sternoclavicular dislocations have been reported in the literature. This injury is considered one of the rarest injuries of the human musculoskeletal system. Therefore, we present the first documented case of a cyclist with a third-degree open thoracic trauma (Gustilo–Anderson 3a) associated with a dislocated manubrium sterni fracture in the upper thoracic aperture, bilateral anterior dislocations of the sternoclavicular joints, rib fractures, and pleural ruptures.Case presentationThe patient, a 27-year-old Caucasian male, incurred this injury while participating in a professional cycling race at Nürburgring, Germany and received immediate interdisciplinary surgical treatment and has encountered no complications. We conducted a 1-year follow-up and present the clinical findings of this follow up. Additionally, we conducted a comprehensive review of the existing literature on this injury.ConclusionsImmediate interdisciplinary intervention, including surgical repair and meticulous postoperative care, facilitated successful patient recovery. This underscores the critical role of comprehensive trauma management in complex polytrauma cases. In conclusion, this case report highlights the rarity and complexity of a traumatic injury involving bilateral sternoclavicular dislocation, with this case being the first case reported with concomitant open thorax trauma. Our patient benefited greatly from immediate air-bound transportation to an interdisciplinary care provider, which houses both thoracic and trauma surgery departments.

Perceived Negative Menstrual Cycle Symptoms, but not Changes in Estrogen or Progesterone, are Associated with Impaired Cycling Race Performance.

Purpose: To examine the relationship between menstrual cycle (MC) phase-dependent fluctuations of estrogen and progesterone and virtual cycling race performance, with a secondary aim of correlating perceived MC-related symptoms with performance.Methods: In a novel observational study design, thirty-seven female cyclists/triathletes not using any hormonal contraception completed one virtual cycling race [19.5 km time trial (TT)] per week across a one-month period (totaling four races). Participants completed MC characterization and tracking, including urinary ovulation kits, across two complete MCs. Venous blood samples were collected within 21 h of racing to determine serum 17-β-estradiol and progesterone concentrations, as well as an assessment of self-reported, perceived race-day MC and gastrointestinal (GI) symptoms, which were all then correlated to race performance.Results: There was no relationship between race completion time and individual estradiol (r = -0.001, p = 0.992) or progesterone (r = -0.023, p = 0.833) concentrations. There was no difference between race time between MC phases (follicular/luteal, p = 0.238), whether MC bleeding or not bleeding (p = 0.619) and ovulating or not ovulating (p = 0.423). The total number of perceived MC symptoms recorded on race day was positively correlated to increased race time [r = 0.268 (95% CI 0.056 to 0.457), p = 0.014], as was the number of GI symptoms of at least "moderate" severity before the race (r = 0.233 [95% CI 0.021 to 0.425], p = 0.031), but not post-race (r = 0.022, p = 0.841).Conclusions: When implementing a novel, virtual cycling race, fluctuations in ovarian hormone concentrations across the MC do not appear to affect real-world cycling performance among trained cyclists, while perceived negative MC and GI symptoms may relate to impaired performance. Therefore, the management of negative MC and GI symptoms appears important for athletic performance enhancement or to mitigate performance decline.

Don’t put all your legs in one basket: Theory and evidence on coopetition in road cycling

We study competition between two groups of individuals with team affiliations, where each group solves a coopetition problem to outperform the other group. Our analysis suggests the presence of a strategic benefit of diversification that goes beyond merely reducing outcome uncertainty. We outline applications in industrial and workplace organization and provide a detailed model of road cycling races, which naturally feature this strategic setup. We find that asymmetric groups tend to cooperate better. Also, having team members in two competing groups is beneficial for a team, as it increases free-riding opportunities in both groups. By analyzing data from over 40 seasons of professional road cycling races, we find empirical evidence in favor of these results. In particular, having a teammate in a group behind positively impacts win probability.

Factors associated with a history of acute traumatic cycling injuries in 60 941 cycling race entrants in South Africa: SAFER study XLII

BackgroundInformation on acute traumatic cycling injuries (ATCIs) in the 12 months prior to entry in a cycling race and the predisposing factors have not been well-researched.ObjectiveDetermine factors associated with a...

Point of Interest Recognition and Tracking in Aerial Video during Live Cycling Broadcasts

Road cycling races, such as the Tour de France, captivate millions of viewers globally, combining competitive sportsmanship with the promotion of regional landmarks. Traditionally, points of interest (POIs) are highlighted during broadcasts using manually created static overlays, a process that is both outdated and labor-intensive. This paper presents a novel, fully automated methodology for detecting and tracking POIs in live helicopter video streams, aiming to streamline the visualization workflow and enhance viewer engagement. Our approach integrates a saliency and Segment Anything-based technique to propose potential POI regions, which are then recognized using a keypoint matching method that requires only a few reference images. This system supports both automatic and semi-automatic operations, allowing video editors to intervene when necessary, thereby balancing automation with manual control. The proposed pipeline demonstrated high effectiveness, achieving over 75% precision and recall in POI detection, and offers two tracking solutions: a traditional MedianFlow tracker and an advanced SAM 2 tracker. While the former provides speed and simplicity, the latter delivers superior segmentation tracking, albeit with higher computational demands. Our findings suggest that this methodology significantly reduces manual workload and opens new possibilities for interactive visualizations, enhancing the live viewing experience of cycling races.

Exercise-Induced Cardiac Troponin I Elevation Is Associated With Regional Alterations in Left Ventricular Strain in High-Troponin Responders.

The implications of exercise-induced cardiac troponin elevation in healthy individuals are unclear. This study aimed to determine if individuals with a high exercise-induced cardiac troponin I (cTnI) response have alterations in myocardial function following high-intensity endurance exercise compared with normal-cTnI responders. Study individuals were recruited from previous participants in a 91-km mountain bike cycling race (the North Sea Race) and were classified as high- (n=34) or normal-cTnI responders (n=25) based on maximal cTnI values after the recruitment race. The present study exposed all participants to 2 prolonged high-intensity exercises: a combined lactate threshold and cardiopulmonary exercise test and repeated participation in the North Sea Race. Echocardiography was performed before, immediately after, and 24 hours following exercise. All study individuals (n=59) had normal coronary arteries, and were aged 51±10 years; 46 (74%) were men. There were no differences in baseline characteristics between the high- and normal-cTnI responders. Maximal cTnI levels 3 hours after exercise were significantly higher in the high- compared with normal-cTnI group (P<0.001-0.027). Following exercise, there were no differences in global ventricular function between the 2 groups. In contrast, high-cTnI responders had significantly lower regional strain in the anteroseptal segments following exercise, with more profound changes after the race. High-cTnI responders had lower anteroseptal segmental strain shortly after exercise than normal-cTnI responders. However, there were no permanent alterations in myocardial strain, indicating no short- or long-term adverse consequences of these exercise-induced alterations in myocardial function. URL: https://www.clinicaltrials.gov; Unique identifier: NCT02166216.

Health status and heat preparation at a UCI World Tour multistage cycling race

ObjectivesTo assess health status and heat preparation of cyclists at the 2019 Tour Down Under and determine the alignment of heat mitigation strategies with current recommendations. DesignCohort study. MethodsTwenty-three (17 % participation rate) male World Tour cyclists from five teams and 10 countries completed a pre-competition questionnaire evaluating exertional heat illness (EHI) history, pre-race health status, and heat mitigation and recovery strategies use. Associations between arrival days pre-competition, years as professional, nationality, team, history of EHI symptoms and diagnosis on heat mitigation and recovery strategy utilisation were assessed. Results65 % of cyclists reported previously experiencing one or more EHI symptom (cramping: 48 %) and 22 % a diagnosis of heat stroke. In the 10 days preceding the race, 26 % experienced one or more illness symptoms. 65 % trained in the heat (acclimatisation 8–25 days; acclimation: 3–7 days), which was associated with team (P = 0.047, ϕc = 0.61), nationality (P = 0.009, ϕc = 0.86) and EHI symptoms history (P = 0.058, ϕ = 0.43). All cyclists had a hydration plan, with links to team (0.5–1.0 L·h−1, P = 0.043, ϕc = 0.68) and EHI symptom history (1.0–1.5 L·h−1, P = 0.048, ϕ = 0.476). Most had pre-cooling (87 %) and mid-cooling (83 %) strategies, most commonly cold beverages (75 %) and neck collars (78 %), respectively. All cyclists planned on using at least one recovery strategy (massage: 87 %). ConclusionsOur data indicate good alignment with current recommendations for competing in the heat, particularly for hydration, cooling and recovery strategies. Whilst the proportion of cyclists engaging in heat acclimation/acclimatisation is encouraging, greater awareness on adapting and implementing heat training is required.

Biseasonal Changes in Aerobic Capacity and Sports Performance in Highly Trained Mountain Bike Cyclists Applying Elements of the Polarized Training Programme

Abstract Introduction. This study assessed maximal oxygen uptake (VO2max), power output and sports performance in mountain bike cyclists applying elements of the polarized training programme (POL) Material and Methods. Seven cyclists participated in the study. Immediately before the 2-year experiment (T1), and five times during the experiment (T2, T3, T4, T5, T6), incremental and verification tests were performed to assess VO2max, peak aerobic power (Ppeak) and power at the second ventilatory threshold (PVT2). During the experiment, sports performance in mountain bike cyclists at National Championships, European Championships, World Championships, and World Cup were analyzed. The cyclists performed POL for seven months in each year of the experiment. POL included sprint interval training, high-intensity interval training, and low-intensity endurance training. Results. In the group of cyclists VO2max [l∙min−1] increased in T6 (4.14 ± 1.13) compared to T1 (3.74 ± 0.95), Ppeak [W] increased in T4, T5 and T6 (353 ± 78.45; 350.14 ± 87.96; 360.23 ± 93.83; respectively) compared to T1 (324.14 ± 90.24), and PVT2 [W] increased in T3, T4, T5 and T6 (265.57 ± 80.66; 267.29 ± 63.74; 266.43 ± 69.29; 276.71 ± 78.99; respectively) compared to T1 (229.29 ± 62.91). Cyclists’ sports performance improved during the experiment, and one of them won bronze medal at the World Championships. Conclusions. During the biseasonal experiment using elements of the polarized training programme, improvements in VO2max, Ppeak and PVT2 were observed in cyclists, which was accompanied by better sports performance in cycling races.

The impact of COVID-19 on tourism expenditures: A Quasi-DiD analysis

We investigate the impact of COVID-19 on tourism expenditures by analyzing survey data collected from participants of one of the major amateur cycling races in Italy—the Nove Colli. We gathered information from different types of participants (tourists, residents, day-trippers) about their travel expenses, accommodation, food and beverage, and side goods such as sports equipment. The survey covers three race editions: pre-COVID-19 in 2016, post-lockdown in 2021, and post-COVID-19 in 2022, for a total of 2734 respondents. Using a quasi-difference-in-differences approach, we find a significant increase in total tourism expenditures due to COVID-19, primarily driven by a substantial increase in side goods expenses, which more than doubled the rise in food and beverage expenses. This result can be partly explained through revenge spending as a form of compensatory consumption behavior and inform policy-makers on how individuals’ spending patterns may change in the aftermath of an exogenous shock.

Student sports achievement: Can it control body mass index (BMI) and cholesterol?

The aim of this study was to assess the BMI and cholesterol levels of athletes selected for preparation for the National Sports Week in Indonesia. The study used a quantitative approach through a survey with researchers giving a test and measurement. The subjects used as research samples were all athletes in the sports of Weightlifting, Fencing, Aero Modeling, Bicycle Racing, Billiard, Handball, Badminton, Parachuting, Judo, Karate, Kempo, Muay Thai, Archery, Wall Climbing, Pencak Silat, Petangque, Swimming, Sepak Takraw, Taekwondo, Tarung Derajat, Table Tennis, Boxing, Volly Beach, Wushu. Additionally, following the selection test, a total of 328 athletes were included in the study. Instruments utilized in this study included the Omron Karada Scan HBF-328 scales for weight measurement, and the OneTouch device for cholesterol testing. The data were analyzed using Microsoft Excel and IBM SPSS Statistics version 26. The results revealed that the mean BMI and cholesterol levels were 22.85 and 171.38, respectively. Among the athletes, 11% were categorized as underweight, 63.11% as normal weight, 21.65% as overweight, 2.74% as obese I, 0.91% as obese II, and 0.61% as obese III. In terms of cholesterol levels, 80% were within the normal range, 10% were low, and 10% were high. Non-parametric correlation analysis demonstrated no significant relationship between BMI and cholesterol levels among the athletes, with a significance value of 0.815. This study concluded that the athlete's BMI was normal, as well as the average athlete's cholesterol condition in normal conditions.

Pro-cycling team cyclist assignment for an upcoming race.

Professional bicycle racing is a popular sport that has attracted significant attention in recent years. The evolution and ubiquitous use of sensors allow cyclists to measure many metrics including power, heart rate, speed, cadence, and more in training and racing. In this paper we explore for the first time assignment of a subset of a team's cyclists to an upcoming race. We introduce RaceFit, a model that recommends, based on recent workouts and past assignments, cyclists for participation in an upcoming race. RaceFit consists of binary classifiers that are trained on pairs of a cyclist and a race, described by their relevant properties (features) such as the cyclist's demographic properties, as well as features extracted from his workout data from recent weeks; as well additional properties of the race, such as its distance, elevation gain, and more. Two main approaches are introduced in recommending on each stage in a race and aggregate from it to the race, or on the entire race. The model training is based on binary label which represent participation of cyclist in a race (or in a stage) in past events. We evaluated RaceFit rigorously on a large dataset of three pro-cycling teams' cyclists and race data achieving up to 80% precision@i. The first experiment had shown that using TP or STRAVA data performs the same. Then the best-performing parameters of the framework are using 5 weeks time window, imputation was effective, and the CatBoost classifier performed best. However, the model with any of the parameters performed always better than the baselines, in which the cyclists are assigned based on their popularity in historical data. Additionally, we present the top-ranked predictive features.

Echocardiographic assessment of myocardial efficiency predicts exercise performance

AbstractCardiac function is a major determinant of cardiopulmonary fitness. This study aimed to determine if novel echocardiographic myocardial function and efficiency parameters at rest can predict exercise performance during different types of prolonged high‐intensity endurance exercise. Echocardiography was performed before exercise in 40 healthy (75% males) 50.3 ± 9.1‐year‐old recreational athletes. Echocardiographic parameters at rest were compared with exercise performance assessed by power output during two different exercises: A lactate threshold and cardiopulmonary exercise test (La‐CPET) and a 91‐km mountain bike sport cycling race. The La‐CPET had a median duration of 43 (40, 45) minutes and a mean power output of 2.9 ± 0.5 W/kg. The race had a median duration of 236 (214, 268) minutes and a mean power output of 2.1 ± 0.5 W/kg. There was moderate left ventricular (LV) dilatation in individuals with the highest performance. The myocardial efficiency parameter, global wasted work (GWW), was positively correlated with race duration (rho = 0.42, p = 0.008) and negatively correlated with mean power output during both the La‐CPET (rho = −0.43, p = 0.007) and the race (rho = −0.44, p = 0.005). In multivariable models, including LV volumes, left GWW remained an independent predictor of race duration (beta = 0.40, p = 0.007) and of mean power output during the La‐CPET (beta = −0.40, p = 0.006) and the race (beta = −0.43, p = 0.003). The novel echocardiographic myocardial efficiency parameter, GWW, measured at rest, is an independent predictor of prolonged high‐intensity endurance exercise performance in healthy middle‐aged athletes. These findings suggest that resting myocardial efficiency parameters may aid the identification of exercise‐induced LV dilatation.

Fully Automatic Camera for Personalized Highlight Generation in Sporting Events.

Personally curated content in short-form video formats provides added value for participants and spectators but is often disregarded in lower-level events because it is too labor-intensive to create or is not recorded at all. Our smart sensor-driven tripod focuses on supplying a unified sensor and video solution to capture personalized highlights for participants in various sporting events with low computational and hardware costs. The relevant parts of the video for each participant are automatically determined by using the timestamps of his/her received sensor data. This is achieved through a customizable clipping mechanism that processes and optimizes both video and sensor data. The clipping mechanism is driven by sensing nearby signals of Adaptive Network Topology (ANT+) capable devices worn by the athletes that provide both locality information and identification. The device was deployed and tested in an amateur-level cycling race in which it provided clips with a detection rate of 92.9%. The associated sensor data were used to automatically extract peloton passages and report riders' positions on the course, as well as which participants were grouped together. Insights derived from sensor signals can be processed and published in real time, and an upload optimization scheme is proposed that can provide video clips for each rider a maximum of 5 min after the passage if video upload is enabled.

At the Bicycle Races

At the Bicycle Races

Research on the application of aerodynamic in cycling

As a bicycle moves, the rider feels air resistance, which affects speed and the rider's energy expenditure. In cycling races, where the main focus is on increasing speed, modifications to the design of the bike, optimization of the bike's materials, and adjustments to the riding position are often utilized to increase speed and reduce energy expenditure. These optimizations are based on aerodynamic principles, which is one of the practical applications of aerodynamic developments. Therefore, the influence of aerodynamics is becoming more and more important in today's bicycle racing. In this paper, the application of aerodynamics in cycling is studied and analyzed through theoretical analysis and literature review. Based on the experimental study of aerodynamics, the optimization of various parts of the bicycle is analyzed to give riders the advantage and help them to increase their speed. Provides the reader with an initial understanding of the application of aerodynamics in cycling.

The Impact of Neck Cooling on Serum Oxidant/Antioxidant Status and HSP70 Levels during High-Intensity Cycling.

Numerous studies have been conducted in an attempt to discover cooling strategies that can be effective in improving exercise performance. However, the mechanism by which neck cooling relieves exercise-induced physiological stress and the optimal cooling temperature are unclear. This study aimed to investigate the effects of neck cooling at different temperatures during high-intensity cycling on body temperature, physiological variables, oxidant/antioxidant status, heat shock protein (HSP) 70 levels, and exercise performance in adolescent athletes. Seven well-trained male adolescent cyclists (age, 17.00 ± 0.76 years; athletic career, 3.86 ± 0.90 years) participated in three exercise trials involving three cooling regimens: control (CON), low-temperature (7 °C) neck cooling (LNC), and mixed-temperature (14 + 20 °C) neck cooling (MNC). The experimental condition used a cross-over design to minimize adaption to the repetitive cycling trials. Cycling consisted of a 20 km warm-up session and a two 2 km race session. Neck cooling at different temperatures was administered for 20 min during each rest period: after the warm-up, after the first 2 km race, and after the second 2 km race. Blood samples were taken to assess serum malondialdehyde (MDA), superoxide dismutase (SOD), and HSP70 levels. In addition, tympanic temperature (Tty), thermal sensation (TS), heart rate (HR), and the saturation of percutaneous oxygen (SpO2) were measured before, immediately after, and 24 h after exercise. As a measure of cycling performance, the race record and speed were measured in the first and second 2 km races. In all trials, Tty, TS, HR, MDA, SOD, and HSP70 levels significantly increased (p < 0.05), and SpO2 levels significantly decreased (p < 0.05). TS significantly decreased 24 h after exercise compared to that immediately after exercise in the LNC and MNC trials (p < 0.05). Serum HSP70 levels were significantly higher 24 h after exercise (0.87 ± 0.10 ng/mL) than immediately after exercise (0.79 ± 0.04 ng/mL) in the CON trial (p < 0.05). Twenty-four hours after exercise, the CON (0.87 ± 0.10 ng/mL) trial showed significantly higher serum HSP70 levels than the LNC (0.73 ± 0.01 ng/mL) trial (p < 0.05). There was no significant difference in cycling race record or speed between the trials (p > 0.05). Our findings suggest that neck cooling can induce a positive effect on thermal perception during recovery after cycling and that neck cooling at a relatively low temperature may be more effective in reducing exercise-induced HSP70 expression.

A Numerical Study Of Cyclist-Cyclist Aerodynamic Interaction Towards Efficient Overtaking Strategy

Abstract In cycling races, overtaking is a crucial maneuver that involves drafting behind and moving to the side of another cyclist. The flow interaction between the cyclists has a very significant impact on the aerodynamic performance. Previous experimental and numerical studies have shown the aerodynamic drag changes at certain relative positions between cyclists. This study aims at providing a comprehensive aerodynamic power contour along a complete overtaking path, detailing the power at different relative positions to develop efficient overtaking strategies. The aerodynamic results are obtained with numerical simulations, the accuracy of which is validated against wind tunnel experiments. Improved sampling and data-fitting approaches are employed to enhance previous findings. The results show that starting the overtaking maneuver closest to the leading cyclist and overtaking with a larger lateral separation is the most aerodynamically efficient strategy. These findings provide valuable insights into developing optimal overtaking strategies in competitive cycling races.

Peningkatan Peran Olahraga Sepeda MTB pada Kontribusi Pelestarian Hutan Ngaduman Merbabu Mediator ISSI Kota Salatiga

After the Covid-19 pandemic, people became aware of improving health and preserving the environment. This community service aims to increase the role of sports of MTB (Mountain Bike) in contributing to forest conservation in Ngaduman Village, Merbabu Mountains by involving ISSI Salatiga City as a moderator. ISSI (Ikatan Sepeda Sport Indonesia) is a Regional Institution for Bicycle Racing in Indonesia, which is in charge of governance standards for cyclists on a Mountain. ISSI is also a member of UCI and ACC, namely international bicycle racing events that can bring in tourism and increase regional income. The results of community service show the importance of publication facilities for Mount Merbabu tourism and MTB bicycle racing events; management of tourism, officials, and MTB bicycle tracks (tracks); and the importance of coordinating with the Office of the Ministry of Youth and Sport and KONI - ISSI of Salatiga City and related parties such as the local community and Perhutani.

An improved methodology for estimating critical power from mean maximal power output data

ABSTRACT The aim of this study was to determine if Critical Power (CP) and W′ can be estimated from mean maximal power output (MMP) data collected in cycling races. Data were collected from 13 under 23 professional cyclists (mean ± SD; age, 19.5 ± 1.1 y; body mass, 66.3 ± 5.0 kg; height, 180.0 ± 5.0 cm; CP, 5.7 ± 0.3 W · kg−1). Participants conducted a CP test in the field to determine CPTest and W′Test. MMP data were then collected in races for the subsequent 90 days. CP and W′ were estimated from MMP values in two ways, using fixed MMP durations, 2, 5 and 12 min (CPFixed and W′Fixed), and via a novel filtering of second-by-second MMP data (CPFiltered and W′Filtered). CPFixed and CPFiltered were not significantly different from CPTest (Mean Difference (MD) 5 W and 7 W, respectively, p > 0.05). W′Fixed and W′Filtered were not significantly different from W′Test (MD 2.68 kJ and 0.89 kJ, respectively, p > 0.05). CPFixed and CPFiltered correlated significantly with CPTest (r = 0.872 and 0.922, respectively, p < 0.0001 for both). Neither W′Fixed nor W′Filtered correlated significantly with W′Test (p > 0.05). Both CPFixed and CPFiltered provide valid estimates of CPTest.; however, CPFiltered provides a better estimate.