Race Distance Research Articles

Years of running, chronic diseases, and allergies are associated with gradual onset Achilles tendon injuries in 61,252 running race entrants: SAFER XXXIX study.

Gradual-onset Achilles tendon injuries (GoATIs) in runners are common. Data show that chronic diseases are associated with GoATI. To determine risk factors associated with a history of GoATIs among long-distance runners (21.1 and 56 km) entering a mass community-based running event. Online pre-race medical screening questionnaire data from 76,654 consenting Two Ocean Marathon race entrants (71.8% entrants) were collected prospectively over 4 years (2012-2015); this cross-sectional study is a retrospective analysis of these data. A total of 617 entrants (0.8%) reported a GoATI in the last 12 months; 60,635 entrants reported no history of any running injury (controls). Categories of factors associated with GoATI were explored (univariate and multiple regression analyses): demographics (age group, sex, race, distance), training/racing history, and history of allergy, history of chronic disease, and Composite Chronic Disease Score. Prevalence and prevalence ratios (PRs; 95% CI) are reported. Factors associated with a higher prevalence of a history of GoATI (univariate analysis vs. controls) were older age (>31 years) (p < .001), male sex (PR = 1.76; p < .001), and longer race distance (56 km vs. 21.1 km) (PR = 2.06; p < .001). Independent factors associated with a history of GoATI (multiple regression) were increased years of recreational running (PR = 1.17 for every 5-year increase, p < .001), higher Composite Chronic Disease Score (PR = 2.07 for every 2-unit increase, p < .001), and allergy history (PR = 1.98 p < .001). Novel independent factors associated with a history of GoATI in distance runners were increased years of recreational running, chronic disease history, and allergy history. Runners at risk for GoATI could be targeted for injury prevention interventions. Future studies should focus on establishing a causal relationship.

Specializing When It Counts: Comparing the Dose-Time Effect of Distance Variety between Swimming and Track Running.

To conduct a longitudinal retrospective analysis, explore the relationship between success at peak performance age and the number of different race distances athletes competed in each year (within-sport distance variety), and compare the dose-time effect of this distance variety throughout the development process between male swimmers and track runners. Male swimmers (n = 6033) and track runners (n = 19,278) still competing at peak performance age were ranked, and the number of different race distances was extracted retrospectively for each year until early junior age (13-14-year-old category) from the databases of the European Aquatics and World Athletics federations. Firstly, correlation analysis determined the relationship between ranking at peak performance age and distance variety. Secondly, Poisson distribution provided the probability and dose-time effect of distance variety for becoming an international-class athlete at peak performance age. Generally, correlation analysis revealed low coefficients (r ≤ 0.22) but significant effects (p < 0.001) for larger distance variety and success at peak performance age. Poisson distribution revealed the highest probability of becoming an international-class swimmer when competing in 2-4 race distances at junior age, depending on the primary race distance. The dose-time effect indicated a gradual reduction in the number of race distances as athletes approached peak performance age, narrowing down to 1-2, 2-3, and 3-4 distances for sprint, middle-, and long-distance races, respectively. Track runners exhibited a lower distance variety than swimmers, with a consistent optimum of 1-2 race distances across the age groups. The present findings including data of the most combined race distances for each primary race distance and a comparison between swimming and track running provide new background information to challenge traditional training regimes and help establish new strategies for long-term athlete development.

Win Your Race Goal: A Generalized Approach to Prediction of Running Performance.

We introduce a novel approach for predicting running performance, designed to apply across a wide range of race distances (from marathons to ultras), elevation gains, and runner types (front-pack to back of the pack). To achieve this, the entire running logs of 15 runners, encompassing a total of 15,686 runs, were analyzed using two approaches: (1) regression and (2) time series regression (TSR). First, the prediction accuracy of a long short-term memory (LSTM) network was compared using both approaches. The regression approach demonstrated superior performance, achieving an accuracy of 89.13% in contrast, the TSR approach reached an accuracy of 85.21%. Both methods were evaluated using a test dataset that included the last 15 runs from each running log. Secondly, the performance of the LSTM model was compared against two benchmark models: Riegel formula and UltraSignup formula for a total of 60 races. The Riegel formula achieves an accuracy of 80%, UltraSignup 87.5%, and the LSTM model exhibits 90.4% accuracy. This work holds potential for integration into popular running apps and wearables, offering runners data-driven insights during their race preparations.

Sex difference in IRONMAN age group triathletes.

The sex difference in athletic performance has been thoroughly investigated in single sport disciplines such as swimming, cycling, and running. In contrast, only small samples of long-distance triathlons, such as the IRONMAN® triathlon, have been investigated so far. The aim of the study was to examine potential sex differences in the three split disciplines by age groups in 5-year intervals in a very large data set of IRONMAN® age group triathletes. Data from 687,696 (553,608 men and 134,088 women) IRONMAN® age group triathletes (in 5-year intervals from 18-24 to 75+ years) finishing successfully between 2002 and 2022 an official IRONMAN® race worldwide were analyzed. The differences in performance between women and men were determined for each split discipline and for the overall race distance. Most finishers were in the age group 40-44 years. The fastest women were in the age group 25-29 years, and the fastest men were in the age group 30-34 years. For all split disciplines and overall race time, men were always faster than women in all groups. The performance difference between the sexes was more pronounced in cycling compared to swimming and running. From the age group 35-39 years until 60-64 years, the sex differences were nearly identical in swimming and running. For both women and men, the smallest sex difference was least significant in age group 18-24 years for all split disciplines and increased in a U-shaped manner until age group 70-74 years. For age groups 75 years and older, the sex difference decreased in swimming and cycling but increased in running. Considering the different characteristics of the race courses, the smallest performance gaps between men and women were found in river swimming, flat surface cycling and rolling running courses. The sex difference in the IRONMAN® triathlon was least significant in age group 18-24 years for all split disciplines and increased in a U-shaped manner until age group 70-74 years. For 75 years and older, the sex difference decreased in swimming and cycling but increased in running.

Road and trail running from 5 km to an ultra-marathon – trends in Switzerland from 1999 to 2019

PurposeThis study aimed to verify participation and performance in all road and trail-based races in Switzerland over two decades (1999–2019).MethodsThis is a secondary data-based study. We used 1,149,182 race records (788,818 from men and 360,364 from women) from 407,944 unique finishers of the 5 km, 10 km, half-marathon, marathon, and ultra-marathon races in Switzerland, between 1999 and 2019. Data included the athletes’ genders, ages, race distances, and types of races (road or trail). The mento- women ratio was calculated and box plots were used to present differences according to gender, age groups, and race distances in both terrains. Differences between the groups were calculated.ResultsThe men-to-women ratio has generally decreased in all race distances over the years. Runners competing in roadbased races were faster than those in a trail run in all distances. Men had faster finish times than women independent of age, except those competing in 10 km trail races. In road-based races, the men-to-women ratio was higher among older marathoners, while for trail runs, a higher men-to-women ratio was shown for older half-marathoners and participants in 10 km races. For 5 km, 10 km, half-marathon, and ultra-marathon races, a decrease in running speed differences was shown until the age of 50 years.ConclusionsIn Switzerland, most of the runners competed in road-based races, but the interest in trail running has increased. The men-to-women ratio declined over time, which could show an increase in the interest of women to participate in endurance activities.

Patient Factors Associated with Access to Outpatient Pediatric General Surgical Care in a Rural State

BackgroundWe sought to understand factors impacting timely access to outpatient pediatric general surgical care in a largely rural state. MethodsWe conducted a multi-site retrospective cohort study, evaluating patients <18 years referred for outpatient pediatric general surgical evaluation from 11/1/2017–7/31/2022. Outcomes included obtaining an appointment, completing an appointment, and undergoing an operation. Time to appointment and operation were calculated. Bivariate analysis and multivariable logistic regression were performed to evaluate for associations between patient factors and the primary outcomes, as well as delay to appointment. ResultsOf 5270 patients, mean age was 7.1 years (SD = 6) with 59% male. All patients obtained an appointment; 85% (n = 4498) completed an appointment within one year. Forty percent (n = 2092) underwent an operation. Mean times from referral to appointment and operation were 22.5 (SD = 33.4) and 81.5 days (SD = 137.5), respectively. Patients who identified as African American/Black (OR = 1.94, p < 0.001), had self-pay (OR = 6.33, p < 0.001), or lived >100 miles away (OR = 1.55, p < 0.001) were more likely to not complete appointments. Patients with high household income (OR = 0.70, p = 0.009) and private insurance (OR = 0.60, p < 0.001) were less likely to not complete appointments. Delay to appointment was associated with race (p = 0.020). Patients with private insurance (p < 0.001) and higher income (p = 0.020) were more likely to undergo operation. ConclusionFifteen percent of patients referred for outpatient pediatric general surgical evaluation did not complete an appointment within one year. Race, household resources, insurance, and travel distance were associated with completing appointments. Information about groups that have disparate access to care will inform interventions to improve this access. Type of StudyRetrospective Cohort Study. Level of EvidenceIII.

Fractional utilization of the 10-minute treadmill test velocity in running performance.

This study aimed to evaluate the applicability of the 10-minute submaximal treadmill test (T10 test), a self-paced test, in determining critical speed (CS) and predicting running performance. Specifically, we sought to identify the percentage of T10 velocity (vT10) that runners performed in official distance races, and to compare physiological and performance indicators between sexes. 60 recreational runners (n = 34 males and n = 26 females) underwent a maximum incremental test, the novel T10 test, and ran 1200-m and 2400-m on the track. Runners self-reported their best performance times. Generalized Linear Model was used to compare running performances between sexes. For both males and females, the %vT10 in 5km, 10km, and half-marathon races occurred at 107.5% and 106.5%, 99.9% and 100.8%, and 92.6% and 97.1%, respectively. There was no interaction effect (p = .520) and no main effect of sex (p = .443). There was a main effect of distance (p < .001), indicating that %vT10 in the 5km race differed from that found in the 10km race (p = .012), as well as in the half-marathon (p < .001). Our findings suggest that %vT10 values can be used to determine pace in recreational endurance runners for race distances regardless of sex.

What motivates individuals to practice trail running? The role of demographics and training habits in recreational runners.

Despite the growing interest in trail running in several countries, few researchers have investigated why people practice trail running. Thus, this study aimed to identify the main motivational factors that determine adherence to trail running and their association with demographic characteristics and training habits among recreational runners. This cross-sectional research employed a questionnaire as its measurement instrument to gather data on demographic characteristics, trail running practices, motivation among trail runners. The study examined 168 trail runners, with 66.7% being men. It verified significant differences in demographic characteristics and training habits only in the distance covered during races with sex (P=0.036). Additionally, the results showed that the primary motivations for trail runners to practice trail running were quality of life and leisure (86.3%), physical fitness (54.2%), and competition (34.5%). Motivation for quality of life and leisure was associated with marital status (P=0.033) and average distance travelled during training (P=0.011). Motivation for physical fitness was associated with the way trail running training is performed (P=0.012), while competitive motivation was associated with gender (P=0.001), race (P=0.028), and average distance travelled during training (P=0.015). The findings indicate that the majority of runners practice trail running as a means of improving quality of life and leisure, followed by physical fitness and competition. Furthermore, significant associations were found between motivations and demographic characteristics as well as training habits.

Sprinting to the top: comparing quality of distance variety and specialization between swimmers and runners.

To compare performance progression and variety in race distances of comparable lengths (timewise) between pool swimming and track running. Quality of within-sport variety was determined as the performance differences between individual athletes' main and secondary race distances across (top-) elite and (highly-) trained swimmers and runners. A total of 3,827,947 race times were used to calculate performance points (race times relative to the world record) for freestyle swimmers (n = 12,588 males and n = 7,561 females) and track runners (n = 9,230 males and n = 5,841 females). Athletes were ranked based on their personal best at peak performance age, then annual best times were retrospectively traced throughout adolescence. Performance of world-class swimmers differentiates at an earlier age from their lower ranked peers (15-16 vs. 17-20 year age categories, P < 0.05), but also plateaus earlier towards senior age compared to runners (19-20 vs. 23 + year age category, P < 0.05), respectively. Performance development of swimmers shows a logarithmic pattern, while runners develop linearly. While swimmers compete in more secondary race distances (larger within-sport variety), runners specialize in either sprint, middle- or long-distance early in their career and compete in only 2, 4 or 3 other race distances, respectively. In both sports, sprinters specialize the most (P < 0.05). Distance-variety of middle-distance swimmers covers more longer rather than sprint race distances. Therefore, at peak performance age, (top-) elite female 200 m swimmers show significantly slower sprint performances, i.e., 50 m (P < 0.001) and 100 m (P < 0.001), but not long-distance performances, i.e., 800 m (P = 0.99) and 1,500 m (P = 0.99). In contrast, (top-) elite female 800 m middle-distance runners show significantly slower performances in all their secondary race distances (P < 0.001). (Top-) elite female athletes specialize more than (highly-) trained athletes in both sports (P < 0.05). The comparison to track running and lower ranked swimmers, the early performance plateau towards senior age, and the maintenance of a large within-sport distance variety indicates that (top-) elite sprint swimmers benefit from greater within-sport specialization.

Analysis of the fastest backstroke age group swimmers competing in the World Masters Championships 1986–2024

Backstroke has been thoroughly investigated in the context of sports science. However, we have no knowledge about the nationalities of the fastest age group backstroke swimmers. Therefore, the present study intended to investigate the nationalities of the fastest backstroke swimmers. For all World Masters Championships held between 1986 and 2024, the year of competition, the first and last name, the age, and the age group, and both the stroke and the distance were recorded for each swimmer. Descriptive data were presented using mean, standard deviation, maximum and minimum values, and confidence intervals. The top ten race times for each swimming distance and sex were identified for descriptive purposes. Nationalities were then grouped into six categories: the top five nationalities with the most appearances in the backstroke swimming top ten times by distance each year and one group consisting of all other nationalities. The Kruskal–Wallis test compared nationality differences, followed by Bonferroni-adjusted pairwise comparisons to identify specific distinctions. Between 1986 and 2024, most age group backstroke swimmers (39.6%) competed in the 50 m event (11,964, 6206 women, and 5,758 men), followed by the 100 m event (32.3%, n = 9764, 5157 women, and 4607 men), and the 200 m event (28.1%, n = 8483, 4511 women, and 3,972 men). Germany had the highest number of top ten female swimmers in the 50 m backstroke distance. Brazil had the highest number of top ten male swimmers in the same distance. The USA had the highest number of female and male swimmers among the top ten in the 100 m and 200 m backstroke distances. Germany and Great Britain were the only countries with swimmers in the top ten for all female backstroke distances. Brazil, the USA, Italy, and Germany were the countries that had swimmers in the top ten for all male backstroke distances. In summary, the fastest backstroke age group swimmers originated from Germany, Brazil, USA, Great Britain, and Italy, where differences between the sexes and race distances exist.

Does dry needling aid in post-training recovery? A critically appraised topic

Clinical scenarioFollowing intense physical training, it is common for athletes to develop muscle soreness, muscle tightness and a sense of fatigue. Minimizing the time spent in this state is advantageous to limit time off from sport, potential injury and lack of mental focus. Clinical questionDoes dry needling aid in post-training recovery in athletes? Summary of key findingsA search was performed for articles exploring the effect of dry needling on exercise/training recovery in athletes. Six articles were included in this critically appraised topic. Three articles were randomized controlled trials, one was a cross-over design, one was a case series, and one was a survey. Five of the six studies demonstrated that dry needling had some sort of positive effect on post-training recovery. One article found DN did not improve muscle soreness after a long distance race. Clinical bottom lineBased on six studies, DN provides mixed results on a variety of physiological and subjective measures. No adverse effects were reported with the use of DN on athletes following post-training. Strength of recommendationIn agreement with the Center of Evidence-Based Medicine, the consistent results from three Level II and two Level III intervention studies designate that there is grade D evidence that DN may aid in some post-training recovery variables.

Professional long distance runners achieve high efficiency at the cost of weak orbital stability

Successful performance in long distance race requires both high efficiency and stability. Previous research has demonstrated the high running efficiency of trained runners, but no prior study quantitatively addressed their orbital stability. In this study, we evaluated the efficiency and orbital stability of 8 professional long-distance runners and compared them with those of 8 novices. We calculated the cost of transport and normalized mechanical energy to assess physiological and mechanical running efficiency, respectively. We quantified orbital stability using Floquet Multipliers, which assess how fast a system converges to a limit cycle under perturbations. Our results show that professional runners run with significantly higher physiological and mechanical efficiency but with weaker orbital stability compared to novices. This finding is consistent with the inevitable trade-off between efficiency and stability; increase in orbital stability necessitates increase in energy dissipation. We suggest that professional runners have developed the ability to exploit inertia beneficially, enabling them to achieve higher efficiency partly at the cost of sacrificing orbital stability.

A Comparative Study on Running Gait Pattern of Sprinters and Distance Runners

Abstract: The biomechanics of running gait vary significantly between sprinters and distance runners, owing to the unique demands of their respective disciplines. Sprinting is an aggressive and intricate athletic activity that is primarily associated with power and speed, whereas distance running is concerned with efficiency and fluidity of movement. This study was formulated to determine whether sprinters and distance runners would exhibit differences in technique while running at the same speed. 20 male collegiate athletes—10 sprinters and 10 distance runners aged between 17-25 year were selected from the LNIPE. Each subject ran on treadmill at a set pace of 15 km/hr for 5 mins. Spatiotemporal variables (cadence, stride length, run cycle duration, stance phase duration, swing phase duration, propulsion speed) and pelvic kinematic variables (pelvic tilt, pelvic obliquity, and pelvic rotation) were measured using BTS G-Walk sensor. Collected data was analysed using independent t-test. The result of the study showed no significant differences (p &gt; .05) between sprinters and distance runners for both the spatiotemporal and the pelvic kinematic variables which suggests that, despite their different training focuses and race distances, sprinters and distance runners exhibit similar gait patterns when running at the same speed.

Illness is more prevalent than injury in trail runners participating in a mountainous ultra trail race

ABSTRACT Objectives Trail running is a popular off-road sport involving running in natural environments over various terrains, often in remote locations. This study aims to investigate the epidemiology and risk factors of injuries and illnesses, i.e. medical encounters, on race day among trail runners in a high-altitude ultra trail race. Methods This descriptive cross-sectional study on an ultra trail race (38 km, 65 km and 100 km) in South Africa, included participants 18 years or older. Of the 331 race participants, 285(86.1%) consented to participate in the study. Data collection included demographic details, injuries (body region, specific body area, tissue type, pathology) and illnesses (organ system, symptom cluster, etiology). Risk factor analysis includes sex, age, weight, height, race distance, illness and injury history, training and running experience. Frequency (n, %), prevalence (%) and odds ratios (OR; 95%CI) are reported. Results Eighty-nine (31.2%) individuals reported 131 medical encounters [49 injuries (37.4%); 82 illnesses (62.6%)]. Injuries were sustained by 14.7% of athletes, and 22.5% reported illnesses. For injuries, the lower limb was mainly involved (n = 41; 83.7%). Most injuries affected the foot (n = 18; 36.7%), ankle (n = 10; 20.4%) and knee (n = 7; 14.3%). Tissue types mainly involved skin (n = 21; 42.8%), ligament (n = 7; 14.3%) and muscle (n = 7; 14.3%). Multiple (n = 45; 54.9%) and gastrointestinal (n = 17; 20.7%) organ systems were mainly involved in illnesses. Only 100 km runners reported dehydration (n = 28; 31.5%), and one in every six of these runners (n = 5; 17.9%) did not finish. Runners reporting fatigue (n = 21; 23.6%) had a high (n = 8; 38.1%) did not finish rate. Two in every five participants (n = 36; 40.4%) with a medical encounter, did not finish. No medical encounter-associated risk factors were identified. Conclusions Illnesses were more common than injuries during the mountainous ultra trail race. Sustaining a medical encounter increased the chance of not completing the race. Further research on the epidemiology of race day medical encounters in trail running is required.

Risk factors associated with a history of iliotibial band syndrome (hITBS) in distance runners: a cross-sectional study in 76 654 race entrants – a SAFER XXXIII study

ABSTRACT Background Despite the numerous health benefits of distance running, it is also associated with the development of ‘gradual onset running-related injuries’ (GORRIs) one of which is Iliotibial Band Syndrome (ITBS). Novel risk factors associated with a history of ITBS (hITBS) have not been described in a large cohort of distance runners. Objective To identify risk factors associated with hITBS in distance runners. Design Descriptive cross-sectional study. Setting 21.1 km and 56 km Two Oceans Marathon races (2012–2015). Participants 106 743 race entrants completed the online pre-race medical screening questionnaire. A total of 1 314 runners confirmed an accurate hITBS diagnosis. Methods Selected risk factors associated with hITBS explored included: demographics (race distance, sex, age groups), training/running variables, history of existing chronic diseases (including a composite chronic disease score) and history of any allergy. Prevalence (%) and prevalence ratios (PR; 95% CI) are reported (uni- & multiple regression analyzes). Results 1.63% entrants reported hITBS in a 12-month period. There was a higher (p < 0.0001) prevalence of hITBS in the longer race distance entrants (56 km), females, younger entrants, fewer years of recreational running (PR = 1.07; p = 0.0009) and faster average running speed (PR = 1.02; p = 0.0066). When adjusted for race distance, sex, age groups, a higher chronic disease composite score (PR = 2.38 times increased risk for every two additional chronic diseases; p < 0.0001) and a history of allergies (PR = 1.9; p < 0.0001) were independent risk factors associated with hITBS. Conclusion Apart from female sex, younger age, fewer years of running and slower running speed, two novel independent risk factors associated with hITBS in distance runners are an increased number of chronic diseases and a history of allergies. Identifying athletes at higher risk for ITBS can guide healthcare professionals in their prevention and rehabilitation efforts.

Peak Performance: Characteristics and Key Factors in the Development of the World Top-8 Swimmers Based on Longitudinal Data.

This study aimed to investigate the peak performance characteristics of the world top-8 swimmers and the key factors involved in the journey toward achieving better peak performance. The results of the world top-8 swimmers from 2001 to 2022 were collected from the World Aquatics performance database. Progression to peak performance was tracked with individual quadratic trajectories (1191 cases). Utilizing k-means clustering to group competitive feature variables, this study investigated key developmental factors through a binary logistic regression model, using the odds ratio (OR) to represent whether a factor was favorable (OR > 1) or unfavorable (OR < 1). Significant differences (P < .001) in the peak age between men (23.54/3.80) and women (22.31/4.60) were noticed, while no significant differences (P > .05) in the peak-performance window for both sexes appeared. Peak performance occurred at later ages for the sprint for both sexes, and women had a longer duration in peak-performance window for sprint (P < .05). Peak-performance occurred at later ages for the breaststroke and butterfly for both sexes (P < .05). Binary logistic regression revealed that high first-participation performance (OR = 1.502), high major-competition performance (OR = 4.165), early first-major-competition age (OR = 1.441), participation frequency above 4 times/year in both phase 2 (4.3-8.0 times/y, OR = 3.940; 8.1-20.0 times/y, OR = 5.122) and phase 3 (4.1-7.5 times/y: OR = 5.548; 7.7-15.0 times/y: OR = 7.526), and a career length of 10years or more (10-15y, OR = 2.102; 16-31y, OR = 3.480) were favorable factors for achieving better peak performance. Peak performance characteristics varied across sex, swimming stroke, and race distance in the world top-8 swimmers. Meanwhile, the research indicated that certain specific developmental factors were key conditions for the world top-8 swimmers to achieve better peak performance in the future.

The impact of socioeconomic status on gastrointestinal cancer care delivery in southeast Texas.

e15579 Background: Gastrointestinal (GI) cancers are a leading cause of cancer deaths in the US with an estimated 1,038,410 new cases and a 30.4% mortality rate in 2023. Disparities in cancer care are well documented and result from several variables, including socioeconomic status (SES), behavioral, and biological factors. We conducted a retrospective population-based cohort study aimed to investigate the relationship between various socioeconomic factors and delays in cancer treatment initiation, emphasizing the impact of gender, race, age, and geographical distance on the time to treatment initiation (TTI). Methods: We identified patients with colorectal, hepatobiliary, small intestinal, and gastroesophageal cancers, who received their cancer diagnosis and initiated treatment at Baptist Hospitals of Southeast Texas in Beaumont, Texas between January 2012, and December 2017. SES data, including age, sex, race, geographical distribution, insurance status, cancer staging, and treatment were collected. Logistic regression was performed to determine risk association by calculating odds ratios with 95% confidence intervals, as well as p-values to determine significance. The primary outcomes of interest were the overall survival (OS) rate, and TTI defined as the time interval between the confirmed cancer diagnosis and initiating the first treatment modality. Results: A total of 517 GI cancer patients were included in this study, with 359 comprising a cohort of patients with colorectal cancer. The majority of patients included were ; caucasians(%) males (%).. African American patients were significantly more likely to receive delayed treatment, Odds Ratio (OR): 5.89, 95% confidence interval (CI) 4.02-8.62, especially compared to the odds for similar Caucasian patients (OR: 0.16, CI: 0.11-0.23). When compared to younger counterparts, patients above the age of 80 were found to have poorer odds of prolonged survival (OR: 2.91, CI: 1.80-4.72). Patients who lived 30 miles away or further from our hospital had longer TTI compared to those living within 30 miles radius (OR: 1.85, CI: 1.19-2.87), a risk which remained significant within the colorectal cancer cohort (OR: 2.20, CI: 1.29-3.74). Patients with Medicare insurance showed longer TTI (OR: 1.50, CI: 1.01-2.23), and decreased OS (OR: 1.79, CI: 1.05-3.06)). No statistically significant difference was observed based on gender. Conclusions: Age, geographical location, and racial SES variables contribute to the disparities in GI cancer care in our community. Addressing these disparities and implementing targeted interventions to mitigate the impact of socioeconomic barriers is imperative to ensure equitable access to timely and effective cancer care, ultimately leading to improved patient outcomes and cancer survival rates.

Practice and Implications of Emerging Technology on Sport Management

Sport has always been under pressure to change. Fortunately, we can see the pressures coming as emerging technologies are published online. This situation offers an advantage as sport management students can be taught to ponder such technological advancements. No one has the complete right answer(s) today - but we can speculate and begin to prepare sport for the emerging technologies. This paper outlines five (5) advancing technologies and proposes questions for debate on their potential impact on sport. The technologies include: sporting equipment and 4D printing; deep brain stimulation and competition anxiety; block chain management; human driven drones and long distance races; and preparing for races that are higher, faster, and further …. around the moon and back. It is important to begin to prepare so we ‘get it right’ as an example of potentially not getting it right is offered to start the discussion. Insights and debate can aid to devise strategies concerning the way forward in emerging times. This means we have an opportunity to contribute to leading edge education and advance management skills for the future of sport. Significant change is happening – and sport management educators can aid in getting ahead of the issues. Keywords: sport management education, emerging technologies and sport, management of sport challenges, sport policy

Demographic Disparities in Drive Times to the Nearest Audiologist in the United States.

Audiological services are underused, possibly because patients need to drive long distances to see a provider. In this study, we measured the association of drive times to the nearest audiologist with population density, income, ethnicity, race, and distance to the nearest audiology graduate program. Drive times for each census block group to the nearest audiologist were measured using census data, the National Provider Identifier Registry, and a geographic analyzing tool called ArcGIS for all block groups within the United States. The association between drive times and population density, income, ethnicity, race, and audiology program distance was evaluated with a population density-matched case-control study and multiple linear regression analyses. Approximately 5.29 million Americans need to drive at least 1 hr to visit their closest audiologist. The 10% most rural-dwelling Americans drive an average of 33.8 min. The population density-matched case-control study demonstrated that percent below poverty, percent identifying as Hispanic, and travel times to the nearest audiology program were all significantly higher in census block groups with high drive times to the nearest audiologist. An average of 7.96% of individuals in census block groups with low drive times identified as Hispanic, but 18.8% identified as Hispanic in high drive time groups. The multiple linear regression showed that the effect of demographics and distance to the nearest audiology program was highest in rural areas. In both analyses, adjusting for poverty did not drastically change the effect of percent identifying as Hispanic on drive times. Long drive times restrict access to audiological care for those who live in rural areas. This restriction disproportionately affects those in rural areas who identify as Hispanic or have low income.

Diving into a pool of data: Using principal component analysis to optimize performance prediction in women’s short-course swimming

ABSTRACT This study aimed to optimise performance prediction in short-course swimming through Principal Component Analyses (PCA) and multiple regression. All women’s freestyle races at the European Short-Course Swimming Championships were analysed. Established performance metrics were obtained including start, free-swimming, and turn performance metrics. PCA were conducted to reduce redundant variables, and a multiple linear regression was performed where the criterion was swimming time. A practical tool, the Potential Predictor, was developed from regression equations to facilitate performance prediction. Bland and Altman analyses with 95% limits of agreement (95% LOA) were used to assess agreement between predicted and actual swimming performance. There was a very strong agreement between predicted and actual swimming performance. The mean bias for all race distances was less than 0.1s with wider LOAs for the 800 m (95% LOA −7.6 to + 7.7s) but tighter LOAs for the other races (95% LOAs −0.6 to + 0.6s). Free-Swimming Speed (FSS) and turn performance were identified as Key Performance Indicators (KPIs) in the longer distance races (200 m, 400 m, 800 m). Start performance emerged as a KPI in sprint races (50 m and 100 m). The successful implementation of PCA and multiple regression provides coaches with a valuable tool to uncover individual potential and empowers data-driven decision-making in athlete training.