Digestive problems with runners

Gastrointestinal Complaints and Correlations with Self-Reported Macronutrient Intake in Independent Groups of (Ultra)Marathon Runners Competing at Different Distances This study examined the differences in gastrointestinal and stress-related complaints between groups of runners competing in different running routes, using web-based questionnaires. A total of 89.3% of the runners were reported heavy complaints during the race, compared with 70.6% after the race. Significant differences between the groups have been described for marathon runners and ultramarathon runners. During the competition, the runners reported about urinary rang (47.7%), muscle cramps (43.6%) and belching (43.6%).The prevalence of bloating, flatulence, side pain and dizziness was different in different running tracks. There were small to medium-sized negative correlations between food intake and fluid intake and gastrointestinal complaints. After the competition (12 h), 70.6% of the participants assessed complaints, with muscle cramps (47.6%), wind disruptions (19.0%) and flatulence (12.7%) most common.The frequency of belching, nausea, stomach cramps and muscle cramps differed between the distances. There were small to high positive correlations between complaints during and after the competition. In summary, runners of all distances reported a high prevalence of gastrointestinal complaints and other stress complaints. There were some small differences in terms of the type of message and the severity of the complaints between the distances.

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The age of the best marathon performance - Berlin Marathon

The Age-Related Performance Decline in Marathon Running: The Paradigm of the Berlin Marathon The variation of the marathon period by age group was recently used to model the decline in endurance with increasing age. However, the previously studied paradigms for marathoning come mainly from the USA. The aim of the present study was therefore to investigate the age of the highest performance in the marathon at a European race, the “Berlin Marathon”. In this marathon of 2008 to 2018, the maturities of 387'222 finishers (women n = 93'022; men n = 294'200) were investigated. Men were +1.10 km / h faster (10.74 ± 1.84 km / h compared to 9.64 ± 1.46 km / h) and +2.1 years older (43.1 ± 10.0 years compared to 41.0 ± 9.8 years) as women. The age of the highest performance in the Marathon was 32 years in women and 34 years in men in 1-year age groups and 30-34 years in women and 35-39 years in men in 5-year age groups. The performance of women and men in ages 60-64 and 55-59 corresponded to “90% of the running speed at the age of the maximum performance in the marathon.

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Does age really limit our stamina?

Endurance and Age-Related Performance Our work Nikolaidis, P.T., & Knechtle, B. (2018).Performance in 100 km Ultra-Marathoners - At Which Age IT Reaches Its Peak?Journal of Strength and Conditioning Research is content this comment by Jeremy Sutton.

In his article, he describes the phenomenon that ultramarathon is a domain of older runners and brings some examples. The item is to be read under https://medium.com/explore-the-limits/endurance-and-age-related-performance-25b0f290544

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Pacing in half marathon and marathon

Performance and Pacing of Age Groups in Half-Marathon and Marathon The aim of the present study was to investigate the age-related differences in performance and pacing in a half marathon compared to a marathon. All Finishers (N = 9137) of the Half Marathon (N = 7258) and the Marathon (N = 1853) Ljubljana 2017 with available data for intermediate times during the race were analyzed on the pacing. Half marathon runners were slower at women than marathon runners (2.77 ± 0.35 compared to 2.86 ± 0.39 m / s), but faster in men (3.14 ± 0.45 compared to 3.08 ± 0.46 m /s). In both races, the age group was <25 years the fastest and age group> 54 years slowest. All age groups showed a positive pacing (decrease in speed in the race) in both the renown distances and the sexes, each segment being slower than the previous one. In the marathon, however, a final spurt was observed, but not in the half marathon. For most age groups, the pacing in the half marathon was more even than in the marathon.

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Heart function for athletes

Left Ventricular Systolic Function Assessed by Speckle Tracking Echocardiography in Athletes with and without Left Ventricle Hypertrophy The aim of this study was selected parameters for the elongation and rotation of the left ventricle (the basal rotation index (BR), the basal scope limit index (BCS) and the global longitudinal strain (GLS) of the left ventricle) in male athletes with physiological cardiac hypertrophy (LVH group)as well as athletes (non-LVH group) and non-athletes without hypertrophy (control group, CG) to evaluate. They were evaluated before and after a stress test by means of transthoracic echocardiography and Speckle tracking echocardiography.The LVH group showed a lower BR in peace than the non-LVH group and the CG. The physical effort had no influence on the BR, and this effect did not differ between the groups. There was a combined influence of LVH and physical effort on BR and BCS, but no significant differences in BCS and GLS at rest between the groups. A higher BCS and a lower GLS after loading in the LVH group were detected compared to the CG. The left ventricular basal rotation as well as the longitudinal and peripheral loads showed a lower difference between rest and strain in subjects with significant myocarde hypertrophy.

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What influences the performance in the ultramarathon?

Different predictor variables for women and men in ultra-marathon running – the Wellington Urban Ultramarathon 2018 Ultra marathon races are becoming increasingly popular. Women are now 20% of all finishers, and this number is growing.Predictors for the performance of women in the ultra-marathon run were rarely examined. The aim of this study was to investigate the performance-influencing variables for women and men at 62 km long Wellington Urban Ultramarathon 2018 (Wuu2K) and to create an equation to predict the ultra-marathon race. In women, the running volume were associated with racing time during exercise per week (km) and the personal best (PBT) in 5 km, 10 km and half marathon (min). For men, age, body mass index (BMI), runtime, running speed during training (min / km), Marathon-PBT and 5 km PBT (min) were associated with the race. For men, the ultra-marathon race can be predicted by the following equation: ultra-marathon race time (min) = -30,85 ± 0,2352 × Marathon PBT + 25,37 × 5 km PBT + 17,20 × training speed(Min / km).For women, the ultra-marathon race could be predicted by the following equation: ultra-marathon race time (min) = -148.83 + 3.824 × (half) - Marathon-PBT) + 9.76 × (10 km PBT)- 6,899 × (5 km PBT).

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