Participation and performance characteristics in half-marathon run: a brief narrative review.

Half-marathon (HM) is a running sport of increasing popularity in both sexes and in all age groups worldwide during the last years. Many studies have examined several aspects of HM, such as performance and participation trends, sex and age differences, physiological correlates, and training; however, no comprehensive review has ever been contacted to summarize the recently accumulated knowledge. Therefore, the aim of the present study was to review all previous research in this sport, focusing on participation and performance aspects. It was shown that HM runners had similar anthropometric and physiological characteristics as full-marathon runners which should be attributed to the affinity of these two races in terms of metabolic demands. Performance in HM was related with superior scores in aerobic capacity (maximal oxygen uptake, anaerobic threshold and running economy) and training characteristics (sport experience, weekly distance, training speed, frequency of sessions and long single endurance run distance), and lower scores in adiposity-related scores (e.g. body mass, body mass index, body fat percentage and skinfold thickness). Considering the popularity of HM race and the lack of many original studies (compared to FM race), this is an exciting field for scientific research with a large potential for practical applications, since the majority of HM runners are amateur runners in need of sex-, age- and performance-tailored exercise prescription.

Shoulder Internal Rotator Strength as Risk Factor for Shoulder Pain in Volleyball Players.

The aim of this study was to identify the intrinsic factors that could increase risk of shoulder pain in adolescent volleyball players. Twenty-eight young male volleyball players (between 14 and 18 years old) participated in this study. Athletes were submitted to: isokinetic muscle strength assessment of shoulder rotator muscles, ball service speed assessment, anterior and posterior drawer test, apprehension test, groove sign and scapular dyskinesia test. Athletes were followed for 16 weeks to monitor the presence of shoulder pain. All athletes were submitted to the same training protocol. During the 16 weeks, 28.5% of the athletes (n=8) experienced shoulder pain in the dominant limb higher than 3 according to Numerical Rating Scale criteria; 71.5% of the athletes (n=20) did not experience pain, or pain equal or lower than 3. The main result of our study was that the odds of feeling pain higher than 3 was significantly higher among players who presented higher values for internal rotation peak torque (OR=1.113, CI 95%=1.006 to 1.232 and p=0.038). The odds of feeling pain increased by 11% for every N·m of the internal rotator muscles. Pre-season isokinetic rotator strength assessments can help identify adolescent volleyball players at increased risk of a shoulder injury.

The beginning of success: Performance trends and cut-off values for junior and the U23 triathlon categories.

BACKGROUND: This study sought to determine cut-off values for each triathlon discipline to achieve podium in Junior (short distance; 750 m swim, 20 km cycle and 5 km run) and U23 (standard/Olympic distance; 1.5 km swim, 40 km cycle and 10 km run) triathlon events. Additionally, we aimed to investigate which discipline has the largest relationship with overall Junior and U23 triathlon performance, and the effect of sex and time in performance trends. METHODS: We included all data from Junior and U23 official races (International Triathlon Federation; ITU) of Junior (n = 3,314 finishes) and U23 (n = 5,092 finishes) categories held from 1999 to 2018. RESULTS: Men were significantly faster than women in both Junior (11.13%) and U23 (12.28%) categories. Swimming and cycling times were faster in 2009-2018 than in the 1999-2008 decade for men (3.36%; 6.49%), women junior (6.50%; 7.09%), men (0.15%; 3.46%) and women U23 (1.61%; 3.31%) respectively. Cycling was the discipline with the greatest influence on overall triathlon performance in Junior and U23 categories, regardless of sex or rank position. The cut-off values for the Junior category were (men/women): swimming, 9.2/9.4 min; cycling, 31.9/38.2 min; running, 16.8/18.9 min. U23's cut-off values were (men/women): swim, 18.0/19.4 min, cycling: 63.4/70.1 min; run, 33.9/38.7 min. CONCLUSION: Cycling was the discipline with the greatest influence on overall performance for both men and women in Junior and U23 categories. Moreover, swimming and cycling performances increased over the years for both sexes.

Effects of congested match periods on acceleration and deceleration profiles in professional soccer.

The aim of the present study was to analyse the influence of congested periods of matches on the acceleration (Acc) and deceleration (Dec) profiles of elite soccer players. Twenty-three elite male professional soccer players participated in the study across 31 official matches. Assessed periods included: (i) congested periods (three to four days between games), and (ii) non-congested periods (more than four days between games). Physical activity during matches was recorded during games using a 10Hz global positioning system device, coupled with a 100 Hz accelerometer, and was analysed according to the periods. Maximal Acc- (73.2 ± 20.3 vs. 84.918.5 m), high Acc- (244.0 ± 49.5 vs. 267.0 ± 37.8 m), maximal Dec- (139.0 ± 44.8 vs. 152.039.3 m) and the total decelerating- distance (5132 ± 690 vs. 5245 ± 552 m) were lower in congested than in non-congested periods (p < 0.05, effect size 0.31-0.70). Neither a main effect of playing position nor a period*playing position interaction on Acc and Dec were observed (p > 0.05). It was concluded that Acc and Dec match activities were significantly affected during congested periods compared to non-congested highlighting a possible fatigue accumulation being responsible for the observed decrement in physical activity. Monitoring Acc and Dec metrics throughout particular periods of congested fixtures amongst professional soccer teams is advised and may be a way to assess physical and fatigue status.

Participation and Performance in the Oldest Ultramarathon-Comrades Marathon 1921-2019.

Participation and performance trends have been analyzed for different ultramarathons for limited time periods. This study examined trends in participation and performance in the oldest ultramarathon in the world, the 'Comrades Marathon' (South Africa), during a century (1921-2019). Data from www.ultra-marathon.org on 100 000 unique finishers were analysed using different general linear models. Women represented 4.2% of the total sample (n=4152), and the first women ran this race in 1978. Before the year 1965, the number of participants in the race ranged between 5 and 35 athletes, then started to grow exponentially until mid 90's. An increase in finishers in the 70 s mainly due to an increase in male athletes in age groups 30-39, 40-49 and 50-59 years was observed (p<0.001). A stable running speed for overall women and men but an improvement in performance for the annual top five women and men were shown (p<0.001). Male runners were faster than female runners for all age groups (p<0.001). While overall performance was not improved across years, the annual top five women and men were able to improve their performance over years.

Number of finishers and performance of age group women and men in long-distance running: comparison among 10km, half-marathon and marathon races in Oslo.

The aim of the present study was to examine the number of finishers and performance trends in 10 km, half-marathon and marathon races in Oslo. Data (total 115,725 finishers; women, n = 50,595; men, n = 65,130) from 10 km, half-marathon and marathon races in Oslo from 2008 to 2018 were analysed considering number, sex, age and running speed of finishers. The total men-to-women ratio was the smallest in the 10 km race (0.60) and the largest in the marathon (3.86) (p < 0.01, φ = 0.28). In both women and men, the slowest running speed was shown in the older age groups (p < 0.01). Based on the findings of the present study, it was concluded that relatively more women finished a 10 km and less a half-marathon and a marathon. Our results indicated that the sex difference in performance was attenuated in the longer race distances and older age groups.

Ultra-triathlon-Pacing, performance trends, the role of nationality, and sex differences in finishers and non-finishers.

Ultra-triathlons are defined as triathlons longer than the traditional Ironman distance and became more popular in the last two decades; however, scarce scientific evidence of these events are available. Therefore, we aimed to investigate the trends of performance, pacing, nationality, sex differences, and rate of non-finishers in ultra-triathlons. Data from 1985 to 2018 were collected including Double Iron, Triple Iron, Quintuple Iron, and Deca Iron ultra-triathlons. Different pacing patterns by event and sex were observed (P < .05); athletes spent less %time in swimming and cycling, and more %time in running as the distance of event was longer; women spent more %time in cycling and less% time in running in Double and Triple. Performance analysis showed a negative trend over time for men and women since 1985. Switzerland, France, and Germany were the fastest nations in ultra-triathlons. The frequency of North Americans competing in Europe was very low (<5%), whereas Europeans often competed in North America (~25%). The rate of non-finishers between sexes was similar in all races with the exception of Deca Iron ultra-triathlon, which was much greater (~20%) for women. Non-finishers had slower race times in swimming and cycling splits than finishers. In conclusion, ultra-triathletes should redistribute their energy among swimming, cycling, and running depending on their sex and distance of race. Performance in ultra-triathlons has been decreasing in men and women over the years, but sex difference in performance remained. Europeans were the fastest ultra-triathletes and compete in Europe and North America. Additionally, non-finishers were slower swimmers and cyclists than finishers.

Force-velocity characteristics and maximal anaerobic power in male recreational marathon runners.

The aim of the present study was to examine the relationship of force-velocity (F-v) characteristics with age and race time in marathon runners. One hundred thirty-five male marathon runners (age 44.2 ± 8.8 years, height 176 ± 6 cm, body mass 24.7 ± 2.6 kg.m-2 and personal record 4:02 ± 0:45 h:min), separated into eight age groups (<30, 30-35, ., 55-60, >60 years), performed an F-v test on a cycle ergometer consisted of four 7s sprints. The older age groups had the lowest scores in maximal pedalling velocity (v0; p < 0.001, ηp2 = 0.244), relative (rPmax; p = 0.001, ηp2 = 0.176) and absolute maximal power (Pmax; p = 0.009, ηp2 = 0.135), whereas no difference in maximal force (F0; p = 0.558, ηp2 = 0.044) was shown. Race time correlated moderately with F0 (r = 0.31, p < 0.001) and Pmax (r = 0.30, p = 0.001). The small magnitude of age-related differences in anaerobic power among most age groups indicated that humans without muscle strength/power training might maintain anaerobic power indices till their sixties.

Sex differences in pacing during half-marathon and marathon race.

The main aim of the present study was to examine differences in pacing between half-marathon and marathon in men and women. A total of 17,525 finishers in the marathon (n = 4807 men; n = 1278 women) and half-marathon race (n = 7624 men; n = 3816 women) in Vienna 2017 were considered. Their pacing was assessed through five race segments (0-23.7%, 23.7-47.4%, 47.4-71.1%, 71.1-94.8% and 94.8-100%) of the race. Compared to marathon (where absolute average change of speed [ACS] was 5.46% and 4.12% in men and women, respectively), a more even pacing was observed in half-marathon in both sexes (ACS = 3.60% and 3.36% in men and women, respectively). The more even pacing in women previously observed in marathon races was verified in half-marathon, too. However, the sex difference in pacing was smaller in half-marathon than in marathon. Since men and women endurance runners participate in both races, sport practitioners would have great benefit from these results since they could establish sex-based personalized race strategies and training programmes.

Occlusion Training During Specific Futsal Training Improves Aspects of Physiological and Physical Performance.

This study aimed to examine the effects of lower limb blood flow restriction (BFR) performed during 3-a-side futsal game training on aerobic and anaerobic performance of futsal players. Twelve male futsal players were randomized into two groups (n = 6); both groups performed ten sessions of the 3-a-side game every other day in half of a futsal court; but one group trained under BFR conditions. Pneumatic cuffs used for the BFR group were inflated to 110% leg systolic blood pressure and increased by 10% after each two completed sessions. Before and after the training sessions subjects completed a series of tests to assess aerobic and anaerobic performances along with changes in blood lactate and anabolic and catabolic hormones. All aerobic and anaerobic performance variables improved in both group after training, however improvements in mean power (12.2%, p = 0.03), run time to fatigue (TTF), (7.1%, p = 0.02) and running economy (RE), (-22.7%, p = 0.01) were significantly greater in the BFR group. There were also significant increases in growth hormone (p = 0.01), testosterone to cortisol ratio at first session (p = 0.01) and rate of lactate removal (p = 0.01) at last session in the BFR group compared to the non-BFR group. Small-sided game (SSG) training with the addition of BFR because of accumulated metabolites and hormonal changed leads to substantially greater increases in performance than SSGs training alone.

Age Differences in Pacing in Endurance Running: Comparison between Marathon and Half-MarathonMen and Women.

BACKGROUND AND OBJECTIVE: The increased popularity of marathons and half-marathons has led to a significant increase in the number of master runners worldwide. Since the age-related decrease in performance is dependent on race duration, pacing in long distance running might also vary by race distance in both men and women. Therefore, the main aim of this study was to assess pacing differences between marathon and half-marathon runners with regard to the runners' age group, and independently for men and women. MATERIALS AND METHODS: In total, 17,465 participants in the Vienna City marathon in 2017 were considered for this study (marathon, N = 6081; half-marathon, N = 11,384). Pacing was expressed as two variables (i.e., pace range and end spurt). RESULTS: All runners showed positive pacing strategies (i.e., a fast start with gradual decrease of speed). However, marathon runners showed greater variability in pacing than half-marathon runners. Furthermore, women showed no differences in pace variability in regard to the age group, whereas men younger than 30 years of age, as well as older men (over the age of 60), showed a greater variability in pace than other age groups. Finally, younger half-marathon men and women showed the fastest end spurt compared to older age groups and marathon runners. CONCLUSIONS: The presented findings could help sports and medicine practitioners to create age specific training plans and pacing strategies. This approach could help long distance runners to improve their physical fitness, achieve better race times, reduce the potential risk of musculoskeletal injuries and increase the overall pleasure of long distance running.

Older recreational cross-country skiers adopt more even pacing strategies than their younger counterparts of similar performance level.

The aim of the present study was to examine the performance× age interaction on pacing in cross-country (XC) skiing. We analyzed all finishers (n = 79,722) who competed in "Vasaloppet" from 2012 to 2017 grouped in performance quartiles according to their race time with Q1 as the fastest and Q4 as the slowest. Women (44.1 ± 10.2%) had larger pace range than men (40.9 ± 11.8%; p < 0.001, η2 = 0.014). The pace range ranged from 29.8 ± 7.1% (Q1) to 49.0 ± 10.1% (Q4; p < 0.001, η2 = 0.179). In women and men, smaller differences in pace range among age groups for the faster performance groups were observed (p < 0.001, η2 = 0.014, η2 = 0.008, respectively). In summary, fast XC skiers adopted relatively even pacing independent of their age, and the older XC skiers adopted more even pacing than their younger counterparts of similar performance level suggesting that differences among age groups are performance-dependent.

A Portrait of Pacing Profile of Cross-Country Skiers in the Vasaloppet 2004-2017.

The aim of the study was to examine the effect of performance group by race time (10 groups;<3 h, 3-4 h, and so on up to>12 h) on pacing in women (n=19,465) and men (n=164,454) finishers in the 'Vasaloppet' cross-country (XC) skiing race from 2004 to 2017. The speed in the fastest and slowest split was analysed as a percentage of the mean race speed and pacing was defined as the difference (%) between the fastest and slowest split. Women had a larger pace range than men (44.0±10.6% versus 41.1±12.5%, respectively, p<0.001, d=0.25). An almost perfect relationship between performance group and pacing was observed in women (r=0.900, p<0.001) and men (r=0.908, p<0.001). A large main effect of performance on pacing was observed in women (p<0.001, η2=0.292), where the smaller range was in the<4 h group (22.8±3.3%) and the largest in the 10-11 h group (49.2±9.9%). In men, the corresponding values were 21.6±2.2% (<3 h group) and 51.6±11.2% (10-11 h group; p<0.001, η2=0.474). Based on these findings, it was concluded that fast XC skiers had relatively the most even pacing and pacing became less even with decreasing performance. This information is of practical value for coaches working with XC skiers to develop optimal sex- and performance-tailored pacing strategies.

Men's Participation and Performance in the Boston Marathon from 1897 to 2017.

This study examined men's participation and performance in the Boston Marathon. Data from all 368,940 official male finishers in the Boston Marathon from 1897 through 2017 were analyzed using different analyses and regression models for all runners, annual top hundred finishers, annual top ten finishers and annual winners. Effect of calendar year on race time was examined alone, in a uni-variable model, and together with country of origin and weather conditions (average air temperature and precipitation) in a multi-variable model. The mean race time of all finishers increased across calendar years, in line with the participation, but it decreased when we considered the annual winners, 10 and 100 fastest. Kenyans and Ethiopians were the fastest nationalities (p<0.001) when we considered all finishers and the annual top 100 fastest but not when the annual 10 fastest were considered. Air temperature≤8 °C improved (p<0.001) race times compared to air temperature>8°C. Precipitation (>0 mm) improved performance for the annual 100 fastest and annual 10 fastest (p=0.013-0.031) but not for all finishers. Our findings improved the knowledge about the evolution of male marathoners across calendar years, considering as main effects country of origin and particular weather conditions.

The age-related performance decline in marathon cross-country skiing - the Engadin Ski Marathon.

Demographic and performance data from 197,825 athletes competing in "Engadin Ski Marathon" between 1998 and 2016 were analysed. When all finishers per age group were considered, there was no gender difference in time (2:59:00 in women versus 2:59:09 h:min:s in men; P = 0.914, Î·2 < 0.001) and the main effect of age group on time was trivial (P < 0.001, Î·2 = 0.007). When the top 10 finishers per age group were considered, men were faster than women (1:27:32 versus 1:34:19 h:min:s, respectively; P < 0.001, Î·2 = 0.373), there was a large effect of age group on time (P < 0.001, Î·2 = 0.590) and the gender difference was larger in the older than in the younger age groups (P < 0.001, Î·2 = 0.534). The age of peak performance for all finishers by 1-year interval age group was 40.3 and 39.6 years in all women and men, respectively. The top 10 finishers by 1-year interval age group achieved their peak performance in the age of 38.4 and 42.2 years in women and men, respectively. The age of peak performance was older and the age-related performance decline occurred earlier in marathon cross-country skiing, compared to road-based marathon running.

Differences in age of peak marathon performance between mountain and city marathon running - The 'Jungfrau Marathon' in Switzerland.

The age of the best marathon performance has been well investigated for flat city marathon running, but not for mountain marathon running. The aim of this study was to determine the age of the best mountain marathon performance and to compare to results of a flat city marathon. Race times and ages of finishers of a mountain marathon with 1,830 m of altitude change (Jungfrau Marathon, Switzerland) and two flat city marathons (Lausanne Marathon and Zurich Marathon, Switzerland) were analysed using linear, non-linear and mixed-effects regression analyses. Race times were slower in the mountain compared to the city marathon. In both the mountain marathon and the city marathons, women and men improved performance and men were faster than women when the fastest per year and all per year were considered. When the fastest runners in 1-year age intervals were considered in the mountain marathon, the fastest man (3:01 h:min) was ~35.6 years and the fastest women (3:28 h:min) ~34.5 years old. When all finishers were considered in 1-year age intervals, the fastest men (4:59 h:min) were ~29.1 years old and the fastest women (5:16 h:min) were ~25.6 years old. In the city marathons in 1-year age intervals, the fastest man (2:10 h:min) was ~23.7 years old and the fastest woman (2:36 h:min) ~32.2 years old. When all finishers were considered in 1-year age intervals, the fastest men (3:41 h:min) were ~35.0 years old and the fastest women (4:00 h:min) ~33.8 years old. In summary, the age of the fastest women and men was higher in the mountain marathon compared to the city marathons when the fastest runners were considered. However, when all finishers were considered the age of the fastest women and men was lower in the mountain marathon compared to the city marathons.

Performance Trends in Age Group Triathletes in the Olympic Distance Triathlon at the World Championships 2009-2014.

Performance trends in elite triathletes competing in age group classes have been investigated for Ironman triathlon in 'Ironman Hawaii' but not for short distance triathletes competing at international level in events such as the Olympic distance triathlon at the World Championships. The aim of the present study was to evaluate participation and performance trends of age group triathletes competing in the Olympic distance triathlon at the International Triathlon Union (ITU) World Championships 2009-2014. During this period, the number of participants remained constant. Swimming performance improved in athletes in age groups 25-29 years to 55-59 years, but not in younger (18-24 years) and older (> 60-64 years) age groups. Cycling performance improved in athletes in age groups 18-24 years to 70-74 years, but not in age group 75-79 years. In running, athletes in age groups 18-24 years, 30-34 years, 35-39 years and 65-69 years improved, but not in the other age groups. Overall race time was improved by athletes in age groups 18-24 to 65-69 years, but not in age groups 70-74 years and 75-79 years. Transition times were improved by all age group athletes. Women were slower than men in swimming, cycling, running and overall race time in age groups 18-24 years to 70-74 years, but not in the age group 75-79 years. For transition times, women were slower than men in age groups 18-24 years to 65-69 years, but not in age groups 70-74 years to 75-79 years. In summary, women and men improved performance in most age groups across all years, men were faster than women except in the age group 75-79 years and the sex difference between women and men remained constant. This knowledge should be considered when future age group triathletes train for and compete in Olympic distance triathlons at international level.

Use of Bioimpedianciometer as Predictor of Mountain Marathon Performance.

This study aimed to examine the relation among body composition, training experience and race time during a mountain marathon. Body composition and training pre-race experience analyses were conducted previous to a mountain marathon in 52 male athletes. A significant correlation between race time and mountain marathon with chronological age, body fat mass, percentage of body fat (BF), level of abdominal obesity, sport experience and daily training volume was revealed. In addition, BF and athlete's chronological age were negatively associated with race performance. In contrast, the daily training volume was positively associated with mountain marathon time. A regression analysis showed that race time could be predicted (R2 = .948) by the daily training load, sports experience, age, body fat mass, BF and level of abdominal obesity. The comparison between performance groups regarding to body composition and training characteristics showed that the higher performance group was lighter with lower BF, fat mass and level of abdominal obesity, and with more days of training per week compared with the lower performance group (p < .05). Therefore, coaches and fitness trainers working with mountain marathon runners should develop exercise and nutritional strategies to reduce BF and consider increasing mean daily training volume to improve performance.

The age of the best ultramarathon performance - the case of the "Comrades Marathon".

The aim of the present study was to determine the age of the fastest running speed in 202,370 runners (34,090 women and 168,280 men) competing in the "Comrades Marathon" between 1994 and 2015 using non-linear regression analysis (second order polynomial function). When all runners were considered in 1-year age intervals, the fastest running speed (9.61 ± 1.65 km/h) was achieved at the age of 29.89 years in men, whereas women achieved it at the age of 35.96 years 8.60 ± 1.10 km/h. When the fastest runners were considered in 1-year intervals, the fastest running speed (16.65 km/h) was achieved in men at the age of 36.38 years. For the fastest women, the age of the fastest running speed (13.89 km/h) was 32.75 years. To summarize, for all runners, men achieved the best ultramarathon performance ~6 years earlier than women. When the fastest runners were considered, however, men achieved the best performance ~4 years later than women.