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There is inconclusive evidence concerning the effects of routine participation in ultra-endurance events on cardiovascular disease (CVD) risk. Arterial compliance is a reliable, non-invasive, and effective tool for evaluating CVD risk. The purpose of this research was to examine if race length influences acute changes in arterial compliance following an ultra-marathon event. A total of 46 ultra-marathon runners were recruited including 21 participants (39.8?±?8.3?years, 6 females) in the 80-km event and 25 participants (43.7?±?9.8?years, 3 female) in the 195-km event. Arterial compliance was measured via radial applanation tonometry (CR-2000, HDI) for diastolic pulse contour analysis before and following the race. Significant between-group differences were found for changes in large arterial compliance with a decrease (increase in stiffness) following the 195-km event and an increase following the 80-kilometre event (p?<?.05). Longer race lengths are associated with greater reductions in large arterial compliance following recreational ultra-marathon running. Assessment of arterial compliance might be a useful prognostic tool to assess the long-term risk of CVD among ultra-marathon runners.  相似文献   
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The aim of the present study was to evaluate the effects of a 12-week home-based strength, explosive and plyometric (SEP) training on the cost of running (Cr) in well-trained ultra-marathoners and to assess the main mechanical parameters affecting changes in Cr. Twenty-five male runners (38.2?±?7.1 years; body mass index: 23.0?±?1.1?kg·m?2; V˙O2max: 55.4?±?4.0 mlO2·kg?1·min?1) were divided into an exercise (EG?=?13) and control group (CG?=?12). Before and after a 12-week SEP training, Cr, spring-mass model parameters at four speeds (8, 10, 12, 14?km·h?1) were calculated and maximal muscle power (MMP) of the lower limbs was measured. In EG, Cr decreased significantly (p?<?.05) at all tested running speeds (?6.4?±?6.5% at 8?km·h?1; ?3.5?±?5.3% at 10?km·h?1; ?4.0?±?5.5% at 12?km·h?1; ?3.2?±?4.5% at 14?km·h?1), contact time (tc) increased at 8, 10 and 12?km·h?1 by mean +4.4?±?0.1% and ta decreased by ?25.6?±?0.1% at 8?km·h?1 (p?<?.05). Further, inverse relationships between changes in Cr and MMP at 10 (p?=?.013; r?=??0.67) and 12?km·h?1 (p?<?.001; r?=??0.86) were shown. Conversely, no differences were detected in the CG in any of the studied parameters. Thus, 12-week SEP training programme lower the Cr in well-trained ultra-marathoners at submaximal speeds. Increased tc and an inverse relationship between changes in Cr and changes in MMP could be in part explain the decreased Cr. Thus, adding at least three sessions per week of SEP exercises in the normal endurance-training programme may decrease the Cr.  相似文献   
3.
The aims of the study were to describe the physiological profile of a 65-km (4000-m cumulative elevation gain) running mountain ultra-marathon (MUM) and to identify predictors of MUM performance. Twenty-three amateur trail-runners performed anthropometric evaluations and an uphill graded exercise test (GXT) for VO2max, ventilatory thresholds (VTs), power outputs (PMax, PVTs) and heart rate response (HRmax, HR@VTs). Heart rate (HR) was monitored during the race and intensity was expressed as: Zone I (VT2) for exercise load calculation (training impulse, TRIMP). Mean race intensity was 77.1%±4.4% of HRmax distributed as: 85.7%±19.4% Zone I, 13.9%±18.6% Zone II, 0.4%±0.9% Zone III. Exercise load was 766±110 TRIMP units. Race time (11.8±1.6h) was negatively correlated with VO2max (r = ?0.66, <0.001) and PMax (r = ?0.73, <0.001), resulting these variables determinant in predicting MUM performance, whereas exercise thresholds did not improve performance prediction. Laboratory variables explained only 59% of race time variance, underlining the multi-factorial character of MUM performance. Our results support the idea that VT1 represents a boundary of tolerable intensity in this kind of events, where exercise load is extremely high. This information can be helpful in identifying optimal pacing strategies to complete such extremely demanding MUMs.  相似文献   
4.
This research examined the time courses of emotions in sport settings (anxiety, dejection, anger, happiness, excitement) experienced by mountain ultra-marathon (MUM) runners within the month following a demanding MUM race and the role of emotional intelligence (EI) in these time courses. A six-wave one-month longitudinal design was used with one measurement point within two days before the race to measure EI and five time points within the month following the race to assess emotions experienced among a sample of 29 runners. Results of multilevel growth curve analyses showed significant linear decreases of dejection and anxiety and a significant linear increase of anger. EI was related to the intercept (level at the end of the MUM race) of happiness, excitement and dejection. Moreover the interaction of EI with time was associated with happiness, excitement and anger. This means that high and low emotional intelligent runners exhibited distinct trajectories of emotional intelligence within the month following the MUM race. Indeed, trait-EI appeared to have a protective role against stress process leading to emotional adjustment within the recovery period following an ultra-endurance event. As such, consultants and coaches could conduct specific program over the sport season designed to enhance trait-EI of MUM runners.  相似文献   
5.
Abstract

Objectives: The aim of this study was to: (a) examine the time courses of runners’ recovery-stress states within the month following a demanding Mountain Ultra-Marathon (MUM) race; and (b) explore the role of primary and secondary appraisals in these trajectories. Design: A seven-wave one-month longitudinal design was used with one measurement point within two days before the race to measure appraisals and six time points within the month following the race to assess recovery-stress states experienced by athletes. Method: A multilevel growth curve analysis approach was used among a sample of 29 MUM runners. Results: Recovery-stress states were characterized by distinct trajectories during the month following MUM race. Results of multilevel growth curve analyses showed significant linear increases of general and total recovery, significant linear decreases of general, sport-specific and total stress and a positive quadratic effect of squared time (U shape over time) on specific recovery. Primary appraisal significantly positively predicted levels of sport-specific recovery, total, general and sport-specific stress and significantly negatively predicted total and general recovery. Secondary appraisal significantly negatively predicted total and general stress. Conclusions: This study provided insights into the role played by appraisals on the recovery-stress states experienced by MUM runners the month following a demanding MUM race. Operational strategies were suggested in order to optimize the recovery-stress balance and in turn psychological adaptation processes in response to an ultra-endurance race.  相似文献   
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