COVID-19 in Ultramarathon Runners: Findings of The Ultrarunner Longitudinal TRAcking Study

Purpose: Ultramarathon runners are a unique patient population who have been shown to be free of nearly all severe chronic medical conditions. The effect that COVID-19 infection has on this population and their running behavior is unknown. Method(s): The Ultrarunner Longitudinal TRACking Study (ULTRA Study) is the largest known longitudinal study of ultramarathon runners. Questions on general health status, running behavior, performance, and COVID-19 infection were included. Result(s): Six hundred sixty-two ultramarathon runners participated in the study. This group exercised an average of 10.0 hours per week, including running an average of 26.8 miles per week;52.1% of ultramarathon runners reported ever being symptomatic from a COVID-19 infection with 6.3% testing positive multiple times. Severe infection occurred in 0.3% (2 patients) requiring a total of 3 days of hospitalization. Of those who were infected, 84% were fully vaccinated at the time of their infection;67% of infections effected running for a mean of 33.1 days. The most common other symptoms included fever (73.3%), fatigue (68.7%), sore throat (67.5%), runny nose (67.0%), and cough (66.7%). Cardiovascular symptoms, which are of particular interest in the running population, included shortness of breath (46.4%), increased heart rate (45.2%), chest pain (34.2%), and wheezing (32.5%). Of 662, 48 (7.3%) of ultrarunners reported Long COVID (symptoms lasting more than 12 weeks). Conclusion(s): Severe COVID-19 infection is rare in ultramarathon runners, although symptomatic infection that affects running is common. These rates, along with Long COVID, are lower than is reported in the literature for the population on average. Significance: Ultrarunners are at very low risk of COVID- 19 symptoms requiring hospital care but significant risk of infection that effects running. Cardiovascular symptoms are common, and the long-term significance of these symptoms in runners is unknown.

Investigating Novel Risk Factors for Training Injuries Among Runners of the New York City Marathon

Purpose: Given the high incidence of injury duringmarathon training, a better understanding of the factors associated with injury is needed. The purpose of the study was to investigate an expanded set of baseline factors of marathon runners to determine the association with injury during training. Method(s): Adult registrants of the 2022 New York City Marathon were recruited by email for a 16-week observational study. The baseline survey included demographics, running/injury/COVID history, race goal, orthotic use, grit scale, risk-taking scale, injury risk self-assessment, happiness and life satisfaction scales, and perceived risks of running. Injury surveys were collected weekly during training. Result(s): A total of 894 runners registered for the study and were uninjured at the start of the study. Average age was 44.5 years (standard deviation 11.8), 55% were female, and 76% had previously participated in a marathon. During the 16 weeks before the race, 221 of 894 (24.7%) experienced an injury, including 36 of 894 (4.0%) who did not participate in the race. Each of the baseline factors were assessed in a logistic regression model controlling for age, sex, body mass index, base weekly mileage, and number of prior marathons. The baseline factors associated with injury were orthotic use (odds ratio [OR] 1.75, 95% confidence interval [CI] 1.12-2.74, P = 0.01), happiness (OR 0.71, 95% CI 0.58-0.88, P = 0.001), and injury risk self-assessment (OR 1.13 for each 10% selfassessed risk, 95% CI 1.05-1.21, P = 0.001). There was no association with age, sex, body mass index, running/injury/ COVID history, race goal, grit, risk-taking behavior, life satisfaction, and perceived risks of running. Conclusion(s): Although age, sex, experience, and history of injury have been previously identified as risk factors for running-related injury, this was not the case in this large cohort of runners training for a marathon. Instead, orthotic use and self-assessed risk of injury were associated with higher rates of injury training, and a higher level of happiness was associated with lower rates of injury. Significance: The results show the value of a comprehensive running injury risk assessment, which could be standardized to facilitate comparative research. Accounting for these factors is important when assessing future injury prevention interventions.

Sports Events in the Pandemic: The Case of N Kolay Istanbul Half Marathon

Background. Sports events are considered activities carried out in a specific schedule to handle all kinds of sports competitions and activities, such as seminars, meetings, courses, panels, and camps, organized for sports purposes. Methods. In this study, we aimed to discuss sports events during the pandemic. In this context, the present study targeted the 16th NKolay Istanbul Half Marathon on April 4, 2021, and recruited the randomly selected 125 female (23.1%) and 417 male (76.9%) marathon runners in this event. We gathered the data using a demographic information format and a 14-item scale. Results. We sought answers to four hypotheses by employing a descriptive survey model. Initially, we carried out a pilot study with a sample of 30 people to explore the validity of the scale and replicated the validity study for the primary sample. We performed exploratory factor analysis with the varimax rotation method for the validity study and attempted to confirm the resultant factorial structure using confirmatory factor analysis. We utilized a T-test and one-way analysis of variance to investigate whether the subscales of the survey differed significantly by the participants' demographics. We ran statistical analyses on SPSS 20.0 at the 95% confidence interval. Conclusion. The findings confirmed our first two hypotheses. We were able to confirm the third hypothesis partially. Accordingly, the participants significantly differed in the race destination subscale by only income. Finally, our results rejected the fourth hypothesis. Overall, we may assert that COVID-19 is a prime concern for half marathon runners.

Vehicle Model-Based Driving Strategy Optimization for Lightweight Vehicle

In this paper, driving strategy optimization for a track is proposed for an energy efficient battery electric vehicle dedicated to the Shell Eco-marathon. A measurement-based mathematical vehicle model was developed to simulate the behavior of the vehicle. The model contains complicated elements such as the vehicle’s cornering resistance and the efficiency field of the entire powertrain. The validation of the model was presented by using the collected telemetry data from the 2019 Shell Eco-marathon competition in London (UK). The evaluation of applicable powertrains was carried out before the driving strategy optimization. The optimal acceleration curve for each investigated powertrain was defined. Using the proper powertrain is a crucial part of energy efficiency, as the drive has the most significant energy demand among all components. Two tracks with different characteristics were analyzed to show the efficiency of the proposed optimization method. The optimization results are compared to the reference method from the literature. The results of this study provide an applicable vehicle modelling methodology with efficient optimization framework, which demonstrates 5.5% improvement in energy consumption compared to the reference optimization theory.

Trends in Participation, Sex Differences and Age of Peak Performance in Time-Limited Ultramarathon Events: A Secular Analysis.

Background and Objectives: Increases in the number of participants in time-limited ultra-marathons have been reported. However, no information is available regarding the trends in participation, performance and age in 12 h and 24 h time-limited events. The aim of the study was to describe the trends in runners' participation, performance and age in 12 h and 24 h ultra-marathons for both sexes and to identify the age of peak performance, taking into account the ranking position and age categories. Materials and Methods: The sample comprised 210,455 runners in time-limited ultra-marathons (female 12 h = 23,706; female 24 h = 28,585; male 12 h = 61,594; male 24 h = 96,570) competing between 1876 and 2020 and aged 18 to 86 years. The age of peak performance was tested according to their ranking position (first-third; fourth-tenth and >tenth position) and taking into account their running speed in different age categories (<30 years; 31-40 years; 41-50 years; 51-60 years; >60 years), using the Kruskal-Wallis test, followed by the Bonferroni adjustment. Results: An increase in the number of participants and a decrease in running speed were observed across the years. For both events, the sex differences in performance decreased over time. The sex differences showed that male runners performed better than female runners, but the lowest differences in recent years were observed in the 24 h ultra-marathons. A positive trend in age across the years was found with an increase in mean age ("before 1989" = 40.33 ± 10.07 years; "1990-1999" = 44.16 ± 10.37 years; "2000-2009" = 45.99 ± 10.33 years; "2010-2020" = 45.62 ± 10.80 years). Male runners in 24 h races were the oldest (46.13 ± 10.83 years), while female runners in 12 h races were the youngest (43.46 ± 10.16 years). Athletes ranked first-third position were the youngest (female 12 h = 41.19 ± 8.87 years; female 24 h = 42.19 ± 8.50 years; male 12 h = 42.03 ± 9.40 years; male 24 h = 43.55 ± 9.03 years). When age categories were considered, the best performance was found for athletes aged between 41 and 50 years (female 12 h 6.48 ± 1.74 km/h; female 24 h 5.64 ± 1.68 km/h; male 12 h 7.19 ± 1.90 km/h; male 24 h 6.03 ± 1.78 km/h). Conclusion: A positive trend in participation in 12 h and 24 h ultra-marathons was shown across the years; however, athletes were becoming slower and older. The fastest athletes were the youngest ones, but when age intervals were considered, the age of peak performance was between 41 and 50 years.

Using GIS to analyze the Spatial distribution of marathon events: A case study based on Taiwan area

The half marathon approximately 21 kilometers started in the 1980s, and the marathon has shown a diversified development since then. The focus of this research is on the marathon in Taiwan before the COVID-19 pandemic. The selected research method is to integrate the attribute data and spatial data on the GIS platform. Preliminary information on the GIS platform shows that all types of events are held in the western part of the eastern part. The full marathon type shows that the northern metropolitan area and the central metropolitan area are the main event venues in the spatial distribution analysis. Subsequent research data shows that the spatial distribution of the city where the semi marathon is that almost all administrative regions have races. The distribution of half-marathon events is relatively balanced and almost every region has such sport events. © 2021 IEEE.

Impacts of Binge-Watching on Netflix during the COVID-19 pandemic

PurposeThe purpose of the study is to dive into various binge-watching habits of Netflix users amidst the COVID-19 pandemic. Consumers find themselves amidst the COVID-19 lockdown with more free time to indulge in these viewing habits. This study investigates motivational factors, amount of media consumption and negative attributes associated with binge-watching on Netflix during the COVID-19 outbreak.Design/methodology/approachThis study has employed an exploratory research design and obtained primary data via an online survey using a semistructured questionnaire. Convenience sampling has been used to choose a sample (n = 105) of Netflix binge-watchers during the COVID-19 pandemic. Both sample selection and survey administration have been done through social media messaging services owing to the COVID-19 lockdown measures.FindingsThe results indicate that most of the respondents use smartphones for binge-watching on Netflix. Moreover, they have expressed that a wide range of shows available on Netflix incline them to engage in marathon viewing. However, the respondents spend just over 70 h per month binge-watching on Netflix. Finally, the majority of respondents have flagged “one more episode” syndrome as the most challenging aspect of being marathon viewers on Netflix during the COVID-19 pandemic.Originality/valueThis is one of the few papers to exclusively focus on the impacts of binge-watching on Netflix during the COVID-19 pandemic. The findings will originate the value with novelty and important implications to the Netflix consumers, telecom service providers and payment gateways.

The Impact of the COVID-19 Pandemic on Endurance and Ultra-Endurance Running.

Background and objectives: The COVID-19 outbreak has become a major health and economic crisis. The World Health Organization declared it a pandemic in March 2020, and many sporting events were canceled. Materials and Methods: We examined the effects of the COVID-19 pandemic on endurance and ultra-endurance running (UER) and analyzed finishes and events during the COVID-19 pandemic (observation period March 2020-October 2020) to the same time period pre-COVID-19 outbreak (March 2019-October 2019). Results: Endurance finishes decreased during the pandemic (459,029 to 42,656 (male: 277,493 to 25,582; female 181,536 to 17,074; all p < 0.001). Similarly, the numbers of endurance events decreased (213 vs. 61 events; p < 0.001). Average marathon finishing times decreased during the pandemic in men (5:18:03 ± 0:16:34 vs. 4:43:08 ± 0:25:08 h:min:s (p = 0.006)) and women (5:39:32 ± 0:19:29 vs. 5:14:29 ± 0:26:36 h:min:s (p = 0.02)). In UER, finishes decreased significantly (580,289 to 110,055; p < 0.001) as did events (5839 to 1791; p < 0.001). Popular event locations in United States, France, UK, and Germany decreased significantly (p < 0.05). All distance and time-limited UER events saw significant decreases (p < 0.05). Conclusions: The COVID-19 pandemic has had a significant effect on endurance and UER, and it is unlikely that running activities return to pre-pandemic levels any time soon. Mitigation strategies and safety protocols should be established.