Monitoring voluntary food intake in female endurance athletes

Female athletes may demonstrate a poor ability to quantify portion sizes and educational sessions using food models do not always improve accuracy. Female cyclists with the highest body fat do not report the highest energy intakes during 70 days of training and racing. Training loads can influence reported daily energy intake.

Effects of starting strategy on 5-min cycling time-trial performance

The importance of pacing for middle-distance performance is well recognized, yet previous research has produced equivocal results. Twenty-six trained male cyclists ( V O_2peak 62.8+5.9 ml ·kg^-1 · min^-1· maximal aerobic power output 340+43 W; mean+s) performed three cycling time-trials where the total external work (102.7+13.7 kJ) for each trial was identical to the best of two 5-min habituation trials. Markers of aerobic and anaerobic metabolism were assessed in 12 participants. Power output during the first quarter of the time-trials was fixed to control external mechanical work done (25.7+3.4 kJ) and induce fast-, even-, and slow-starting strategies (60, 75, and 90 s, respectively). Finishing times for the fast-start time-trial (4:53+0:11 min:s) were shorter than for the even-start (5:04+0:11 min:s; 95% CI=5 to 18 s, effect size=0.65, P 50.001) and slow-start time-trial (5:09+0:11 min:s; 95% CI=7 to 24 s, effect size=1.00, P 50.001). Mean VO₂ during the fast-start trials (4.31+0.51 litres · min^-1) was 0.18+0.19 litres · min^-1 (95% CI=0.07 to 0.30 litres · min^-1, effect size=0.94, P =0.003) higher than the even- and 0.18+0.20 litres · min^-1 (95% CI=0.5 to 0.30 litres · min^-1, effect size=0.86, P =0.007) higher than the slow-start time-trial. Oxygen deficit was greatest during the first quarter of the fast-start trial but was lower than the even- and slow-start trials during the second quarter of the trial. Blood lactate and pH were similar between the three trials. In conclusion, performance during a 5-min cycling time-trial was improved with the adoption of a fast- rather than an even- or slow-starting strategy.

Neuromuscular adaptations to training, injury and passive interventions: implications for running economy

Performance in endurance sports such as running, cycling and triathlon has long been investigated from a physiological perspective. A strong relationship between running economy and distance running performance is well established in the literature. From this established base, improvements in running economy have traditionally been achieved through endurance training. More recently, research has demonstrated short-term resistance and plyometric training has resulted in enhanced running economy. This improvement in running economy has been hypothesized to be a result of enhanced neuromuscular characteristics such as improved muscle power development and more efficient use of stored elastic energy during running. Changes in indirect measures of neuromuscular control (i.e. stance phase contact times, maximal forward jumps) have been used to support this hypothesis. These results suggest that neuromuscular adaptations in response to training (i.e. neuromuscular learning effects) are an important contributor to enhancements in running economy. However, there is no direct evidence to suggest that these adaptations translate into more efficient muscle recruitment patterns during running. Optimization of training and run performance may be facilitated through direct investigation of muscle recruitment patterns before and after training interventions.

There is emerging evidence that demonstrates neuromuscular adaptations during running and cycling vary with training status. Highly trained runners and cyclists display more refined patterns of muscle recruitment than their novice counterparts. In contrast, interference with motor learning and neuromuscular adaptation may occur as a result of ongoing multidiscipline training (e.g. triathlon). In the sport of triathlon, impairments in running economy are frequently observed after cycling. This impairment is related mainly to physiological stress, but an alteration in lower limb muscle coordination during running after cycling has also been observed. Muscle activity during running after cycling has yet to be fully investigated, and to date, the effect of alterations in muscle coordination on running economy is largely unknown. Stretching, which is another mode of training, may induce acute neuromuscular effects but does not appear to alter running economy.

There are also factors other than training structure that may influence running economy and neuromuscular adaptations. For example, passive interventions such as shoes and in-shoe orthoses, as well as the presence of musculoskeletal injury, may be considered important modulators of neuromuscular control and run performance. Alterations in muscle activity and running economy have been reported with different shoes and in-shoe orthoses; however, these changes appear to be subject-specific and nonsystematic. Musculoskeletal injury has been associated with modifications in lower limb neuromuscular control, which may persist well after an athlete has returned to activity. The influence of changes in neuromuscular control as a result of injury on running economy has yet to be examined thoroughly, and should be considered in future experimental design and training analysis.

Effects of exercise on the isoelectric patterns of erythropoietin

Objectives: Recombinant erythropoietin has a strong impact on aerobic power and is therefore one of the most potent doping agents in endurance sports. The anti-doping control of this synthetic hormone relies on the detection, in the urine, of its isoelectric pattern, which differs from that of the corresponding natural hormone, the latter being typically more acidic than the former. However, a small number of natural urinary patterns, referred to as atypical patterns, are less acidic than the dominant form. Based on anecdotal evidence, the occurrence of such patterns seems to be related to particular strenuous exercises. This study aimed to demonstrate this relation using a strenuous exercise protocol.

Design: Seven athletes took part in a training protocol including a series of supramaximal short-duration exercises. Urine and blood samples were collected throughout the protocols.

Settings: World Cycling Center, Aigle, Switzerland, and research laboratories.

Participants: Seven top-level athletes (cyclists) were involved in this study.

Main Outcome Measures: Erythropoietin (EPO) isoelectric patterns were obtained by submitting blood and urine samples to isoelectric focusing. Additional protein dosages were performed.

Results: Supramaximal short-duration exercises induced the transformation of typical urinary natural EPO patterns into atypical ones. None of the obtained atypical patterns fulfilled the 3 criteria mandatory for reporting an adverse analytical finding. Serum EPO patterns were not affected by the exercises that caused the transformation of urinary patterns.

Conclusion: An exercise-induced transient renal dysfunction is proposed as a hypothetic explanation for these observations that rely on parallel investigations of proteinuria in the same samples.

Making visible the invisible act of doping

This paper describes the construction of the visual space of surveillance by the global anti-doping apparatus, it is a space inhabited daily by professional cyclists. Two principal mechanisms of this apparatus will be discussed—the Whereabouts System and the Biological Passport; in order to illustrate how this space is constructed and how it visualises the invisible act of doping. These mechanisms act to supervise and govern the professional cyclist and work to classify them as either clean or dirty in terms of the use of prohibited doping substances or methods. Contrary to the analysis of liberal anti-doping scholars such as Hanstad, Loland and Møller this paper argues that Foucault’s Panopticon paradigm is a useful tool for the analysis of this apparatus. The Whereabouts System and Biological Passport are the instruments by which the anti-doping apparatus intensifies the construction of the space of surveillance in professional sport. This space of surveillance not only locates and makes visible the physical location of each individual cyclist, but it also makes visible their internal bodily functions, in this case the composition and the fluctuations of the composition of their blood. In making the cyclist visible the instruments do not allow the cause of doping, or the event of doping to be known or observed. Rather what they do is cast the body in terms of abnormalities of time, place or blood. In the case of an abnormality of the cyclist’s blood, the cause itself cannot be identified with any certainty, all that is made visible is a suggestion, or a probability, that doping may have occurred. The ultimate effects are twofold—an internalisation and continual monitoring of one’s self as well as by the authorities, and a radical change in the nature and the definition of the offence of doping. No longer is it positive evidence of doping that is punishable, but what becomes punishable is an abnormality, in the cyclist’s location, or their body, which suggests a probability that the invisible act of doping may have occurred. In the course of this process accepted manners of proving an offence by the use of scientific evidence and expert commentary are transformed. The Whereabouts System and the Biological Passport open up a new manner in which the invisible can be visualised. Through the discourse and the attendant commentary of the expert a new alliance between doping and the law is constructed. The result is a redistribution of the way in which the law visualises and treats the symptoms (the signifier) and the signified act of doping. The Whereabouts System and Biological Passport are the instruments by which the anti-doping apparatus intensifies the construction of the space of surveillance in professional sport. This space of surveillance not only locates and makes visible the physical location of each individual cyclist, but it also makes visible their internal bodily functions, in this case the composition and the fluctuations of the composition of their blood. In making the cyclist visible the instruments do not allow the cause of doping, or the event of doping to be known or observed. Rather what they do is cast the body in terms of abnormalities of time, place or blood. In the case of an abnormality of the cyclists’s blood, the cause itself cannot be identified with any certainty, all that is made visible is a suggestion, or a probability, that doping may have occurred. The ultimate effects are twofold—an internalisation and continual monitoring of one’s self as well as by the authorities, and a radical change in the nature and the definition of the offence of doping. No longer is it positive evidence of doping that is punishable, but what becomes punishable is an abnormality, in the cyclist’s location, or their body, which suggests a probability that the invisible act of doping may have occurred. In the course of this process accepted manners of proving an offence by the use of scientific evidence and expert commentary are transformed. The Whereabouts System and the Biological Passport open up a new manner in which the invisible can be visualised. Through the discourse and the attendant commentary of the expert a new alliance between doping and the law is constructed. The result is a redistribution of the way in which the law visualises and treats the symptoms (the signifier) and the signified act of doping.

Who uses new walking and cycling infrastructure and how? Longitudinal results from the UK iConnect study

Objective
To examine how adults use new local walking and cycling routes, and what characteristics predict use.

Methods
1849 adults completed questionnaires in 2010 and 2011, before and after the construction of walking and cycling infrastructure in three UK municipalities. 1510 adults completed questionnaires in 2010 and 2012. The 2010 questionnaire measured baseline characteristics; the follow-up questionnaires captured infrastructure use.

Results
32% of participants reported using the new infrastructure in 2011, and 38% in 2012. Walking for recreation was by far the most common use. In both follow-up waves, use was independently predicted by higher baseline walking and cycling (e.g. 2012 adjusted rate ratio 2.09 (95% CI 1.55, 2.81) for > 450 min/week vs. none). Moreover, there was strong specificity by mode and purpose, e.g. baseline walking for recreation specifically predicted walking for recreation on the infrastructure. Other independent predictors included living near the infrastructure, better general health and higher education or income.

Conclusions
The new infrastructure was well-used by local adults, and this was sustained over two years. Thus far, however, the infrastructure may primarily have attracted existing walkers and cyclists, and may have catered more to the socio-economically advantaged. This may limit its impacts on population health and health equity.

Key influences on motivations for utility cycling (cycling for transport to and from places)

Issue addressed: 

The elimination race in track cycling : patterns and predictors of performance

The track cycling Omnium is a multi-event competition that has recently been expanded to include the Elimination Race (ER), which presents a unique set of physical and tactical demands. The purpose of this research was to characterise the performance attributes of successful and unsuccessful cyclists in the ER, that are also predictive of performance. Video recordings of four international level ERs were analysed. The performance attributes measured related to the cyclists’ velocity and two dimensional position in the peloton. The average velocity of the peloton up to lap 30 (of 50) was relatively high and consistent (52.2±1.5 km/h). After lap 30, there was a significant (p<0.001) change in velocity (49.9±2.4 km/h), characterised by more fluctuations in lap-to-lap velocity. Successful ER cyclists adopted a tactic of remaining in the middle of the peloton, in the lower lanes of the velodrome, thus avoiding the risk of elimination at the rear and the extra effort required to remain on the front of the peloton. Unsuccessful cyclists tended to reside in the rear and upper (higher) portions of the peloton, risking elimination more often and having to ride faster than those in the lower lanes of the velodrome. The physiological demands of the Elimination Race that are determined by velocity, vary throughout the Elimination Race and the pattern of movement within the peloton is different for successful and unsuccessful cyclists. The findings of the present study may confirm some aspects of race tactics that are currently thought to be optimal, but they also reveal novel information that is useful to coaches and cyclists who compete in the Elimination Race.

I wish I was 21 now beyond doping in the Australian peloton

An investigation into the reasons for doping among professional athletes (cyclists) and attitudes towards and assessments of current attempts and form of legislation and regulation of doping, inlcuding prospects for reform, and types of reform required.

An assessment of existing bicycle advisory pavement marking on urban roads

Bicycle advisory treatments are used to advise road users of the potential presence of cyclists and of the location where cyclists may be expected to ride on a road. They include pavement markings, warning signs, guide signs, and as such have no regulatory function. The most common type of bicycle advisory pavement markings is the shared lane marking. Other forms of bicycle advisory pavement marking have also been trialled and used in several local jurisdictions. The bicycle awareness zone is an example of such facility which has been trialled and used in southeast Queensland, Australia since the late 1990s. A bicycle awareness zone is similar to shared lane marking in principle but differs in the type of logo and, in some cases, location of its placement on the road. This study assesses the operational and safety issues at three bicycle awareness zone sites by analysing video-assisted observation data collected in 2011 by Queensland Department of Transport and Main Roads, Australia. Of the several applications of bicycle awareness zones, this study only covers a particular application where the centre of the bicycle symbol is placed exactly over the parking edge line. Unlike previous studies, which mostly covered before-and-after evaluations of bicycle advisory pavement markings, the focus of this study is to assess whether the placement of bicycle awareness zone symbols has been successful. The aggregated results from video-assisted observational data show that the cyclists did not always track themselves over the centre of the symbols. Rather, both the cyclists' lateral tracking positions and road user interactions varied with the widths of kerbside parallel parking space. Since the bicycle awareness zone symbols are not positioned on the cyclists' desired line of ride on some roads, their operational effectiveness and safety value are questioned.

Modeling intermittent cycling performance in hypoxia using the critical power concept

PURPOSE: This study investigated the efficacy of an intermittent critical power model, termed the "work-balance" (W'BAL) model, during high-intensity exercise in hypoxia. METHODS: Eleven trained, male cyclists (mean ± SD; age 27 ± 6.6 yr, V[Combining Dot Above]O2peak 4.79 ± 0.56 L.min) completed a maximal ramp test and a 3 min "all-out" test to determine critical power (CP) and work performed above CP (W'). On another day an intermittent exercise test to task failure was performed. All procedures were performed in normoxia (NORM) and hypoxia (HYPO; FiO2 ≈ 0.155) in a single-blind, randomized and counter-balanced experimental design. The W'BAL model was used to calculate the minimum W' (W'BALmin) achieved during the intermittent test. W'BALmin in HYPO was also calculated using CP + W' derived in NORM (N+H). RESULTS: In HYPO there was an 18% decrease in V[Combining Dot Above]O2peak (4.79 ± 0.56 vs 3.93 ± 0.47 L.min ; P<0.001) and a 9% decrease in CP (347 ± 45 vs 316 ± 46 W; P<0.001). No significant change for W' occurred (13.4 ± 3.9 vs 13.7 ± 4.9 kJ; P=0.69; NORM vs HYPO). The change in V[Combining Dot Above]O2peak was significantly correlated with the change in CP (r = 0.72; P=0.01). There was no difference between NORM and HYPO for W'BALmin (1.1 ± 0.9 kJ vs 1.2 ± 0.6 kJ). The N+H analysis grossly overestimated W'BALmin (7.8 ± 3.4 kJ) compared with HYPO (P<0.001). CONCLUSION: The W'BAL model produced similar results in hypoxia and normoxia, but only when model parameters were determined under the same environmental conditions as the performance task. Application of the W'BAL model at altitude requires a modification of the model, or that CP and W' are measured at altitude.

Influence of pacing on reliability of middle-distance cycling performance

The purpose of the present study was to examine the reliability of middle distance cycling time trials using fast-, even-, and slow-starts. Eighteen endurance-trained male cyclists [mean ± standard deviation; VO2peak 63.1 ± 6.1 mL⋅kg-1⋅min-1] performed nine cycling time trials where the total external work (96.5 ± 11.2 kJ) was identical to the better of two, 5-minute habituation time trials. Power output during the first quarter of the time-trials (24.1 ± 2.8 kJ) was fixed to induce fast-, even- or slow-starting strategies (60, 75 and 90 s, respectively). In consecutive sessions, participants performed three trials of each pacing condition although the order of these pacing conditions was counterbalanced. Average power output and performance time were unaffected by trial number in the fast- (P = 0.60), even- (P = 0.18) and slow-start (P = 0.53) trials. In all three pacing conditions, average power output was highly reliable and similar between trial 1 to 2 and trial 2 to 3 in fast- (standard error of measurement; SEM=8.3 and 8.2W), even (coefficient of variation; CV=2.8 and 2.4%) and slow-start (CV=2.4 and 1.5%) trials. In conclusion, the reproducibility of 5-min cycling time trials is unaffected by starting strategy and is acceptable following two selfpaced habituation trials. Research examining the influence of pacing strategies may therefore be conducted without the need for familiarisation trials using each individual pacing condition.

Relação entre índices fisiológicos aeróbios e desempenho em provas de curta e média duração em ciclistas de elite

Poucos são os estudos que possibilitam verificar quais as respostas fisiológicas são associadas ao desempenho em uma amostra de ciclistas de elite nacional. Portanto, o objetivo do presente estudo foi determinar e relacionar diferentes índices fisiológicos aeróbios com o desempenho em testes contra relógio de 4 e 20km em ciclistas de alto nível. A amostra foi composta por 14 ciclistas profissionais de elite nacional do sexo masculino (28,5 ± 4,7 anos, 73,47 ± 8,29 kg, 176 ± 6,76 cm), que realizaram um teste progressivo em laboratório para a determinação do consumo máximo de oxigênio (VO2max: 62,23 ± 8,28 ml·kg·min-1), intensidade relativa ao VO2max (iVO2max: 500,83 ± 58,65 w), economia de movimento (EM: 0,1166 ± 0,0362 ml·kg·min·w-1) e 1º e 2º limiares ventilatórios (LV1: 348,21 ± 43,26 w; LV2: 417,86 ± 60,79 w, respectivamente). Também foram submetidos a duas provas de 4 e 20km contra relógio. Para correlação entre os índices fisiológicos e desempenho, foi utilizado o coeficiente de correlação de Pearson (p< 0,05). Não foi encontrada correlação entre os índices fisiológicos (VO2max absoluto e relativo, iVO2max, EM, LV1 e LV2) e o desempenho de 4km (r= 0.38; 0.16; -0.33; 0.20; -0.50; -0.20, respectivamente) e 20km (r= 0.24; 0.01; -0.13; -0.12; -0.48; -0.19, respectivamente) contra relógio em atletas de alto nível. Estes resultados sugerem que tais variáveis não apresentam capacidade de explicar o desempenho em provas de contra relógio nas respectivas distâncias, provavelmente, devido à homogeneidade entre os sujeitos.

Comparação entre diferentes métodos para estimativa de gordura corporal de ciclistas brasileiros de elite

O objetivo do estudo foi comparar diferentes métodos de estimativa de gordura corporal em ciclistas de elite. A amostra foi composta por 15 atletas de alto nível, do sexo masculino, com idade média de 28,6 anos. Gordura corporal foi estimada pela equação para espessura de dobras cutâneas (EDC), análise da bioimpedância elétrica (BIA) e absortometria de radiológica de dupla energia (DEXA) (utilizada como referência). O teste t pareado comparou as diferenças entre os métodos e o coeficiente de correlação intraclasse analisou o relacionamento entre os mesmos. Foi observado que os valores do percentual de gordura corporal estimado pela BIA (p= 0,029), mas não o estimado pela EDC (p= 0,094) diferiram das estimativas da DEXA. Dessa maneira, é possível concluir que EDC apresentou estimativas mais próximas daquelas fornecidas pelo DEXA.

The Effects of Physical Fitness and Body Composition on Oxygen Consumption and Heart Rate Recovery After High-Intensity Exercise

The aim of this study was to investigate the potential relationship between excess post-exercise oxygen consumption (EPOC), heart rate recovery (HRR) and their respective time constants (tvo(2) and t(HR)) and body composition and aerobic fitness (VO(2)max) variables after an anaerobic effort. 14 professional cyclists (age = 28.4 +/- 4.8 years, height = 176.0 +/- 6.7 cm, body mass = 74.4 +/- 8.1 kg, VO(2)max = 66.8 +/- 7.6 mL. kg(-1) . min(-1)) were recruited. Each athlete made 3 visits to the laboratory with 24h between each visit. During the first visit, a total and segmental body composition assessment was carried out. During the second, the athletes undertook an incremental test to determine VO(2)max. In the final visit, EPOC (15-min) and HRR were measured after an all-out 30s Wingate test. The results showed that EPOC is positively associated with % body fat (r = 0.64), total body fat (r = 0.73), fat-free mass (r = 0.61) and lower limb fat-free mass (r = 0.55) and negatively associated with HRR (r = - 0.53, p < 0.05 for all). HRR had a significant negative correlation with total body fat and % body fat (r = - 0.62, r = - 0.56 respectively, p < 0.05 for all). These findings indicate that VO(2)max does not influence HRR or EPOC after high-intensity exercise. Even in short-term exercise, the major metabolic disturbance due to higher muscle mass and total muscle mass may increase EPOC. However, body fat impedes HRR and delays recovery of oxygen consumption after effort in highly trained athletes.