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Katherine A. Beals and Melinda M. Manore

The purpose of this study was to delineate and further define the behavioral, psychological, and physical characteristics of female athletes with subclinical eating disorders. Subjects consisted of 24 athletes with subclinical eating disorders (SCED) and 24 control athletes. Group classification was determined by scores on the Eating Disorder Inventory (EDI), the Body Shape Questionnaire (BSQ), and a symptom checklist for eating disorders (EDI-SC). Characteristics representative of the female athletes with subclinical eating disorders were derived from an extensive health and dieting history questionnaire and an in-depth interview (the Eating Disorder Examination). Energy intake and expenditure (kcal/d) were estimated using 7-day weighed food records and activity logs. The characteristics most common in the female athletes with subclinical eating disorders included: (a) preoccupation with food, energy intake, and body weight; (b) distorted body image and body weight dissatisfaction; (c) undue influence of body weight on self-evaluation; (d) intense fear of gaining weight even though at or slightly below (-5%) normal weight; (e) attempts to lose weight using one or more pathogenic weight control methods; (g) food intake governed by strict dietary rules, accompanied by extreme feelings of guilt and self-hatred upon breaking a rule; (h) absence of medical disorder to explain energy restriction, weight loss, or maintenance of low body weight; and (i) menstrual dysfunction. Awareness of these characteristics may aid in more timely identification and treatment of female athletes with disordered eating patterns and, perhaps, prevent the development of more serious, clinical eating disorders.

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Sergio Lara-Bercial and Clifford J. Mallett

In 2011, the Innovation Group of Leading Agencies of the International Council for Coaching Excellence initiated a project aimed at supporting the identification and development of the next generation of high performance coaches. The project, entitled Serial Winning Coaches, studied the personalities, practices and developmental pathways of professional and Olympic coaches who had repeatedly achieved success at the highest level of sport. This paper is the third publication originating from this unique project. In the first paper, Mallett and Coulter (2016) focused on the development and testing of a novel multilayered methodology in understanding a person through a single case study of a successful Olympic coach. In the second, Mallett and Lara-Bercial (2016) applied this methodology to a large sample of Serial Winning Coaches and offered a composite account of their personality. In this third instalment, we turn the focus onto the actual practices and developmental pathways of these coaches. The composite profile of their practice emerging from the analysis revolves around four major themes: Philosophy, Vision, People and Environment. In addition, a summary of the developmental activities accessed by these coaches and their journey to success is also offered. Finally, we consider the overall findings of the project and propose the concept of Driven Benevolence as the overarching operational principle guiding the actions and behaviours of this group of Serial Winning Coaches.

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Kathy C. Graham

This article describes the movement tasks (Rink, 1985) in which students engaged during a 14-lesson volleyball unit in an eighth-grade physical education class, and the differential motor skill responses of high- and low-skilled target students during the practice of these tasks. Audio and videotaped records were made of each lesson. Analysis focused on the identification of the movement tasks that were verbally presented by the teacher during the lessons, the determination of students’ level of engagement in these tasks, and the frequency and rate of motor skill responses/successful motor skill responses during task practice for three high- and three low-skilled students. Thirteen major movement tasks were identified that formed a simple to complex progression of activities. A high level of consistent student engagement in tasks was observed, as well as differential performance outcomes for students of high/low skill levels. The results reveal the complexity of providing appropriate instruction for different skill levels in a class. Implications for research and teacher education programs are discussed.

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Simon A. Worsnop

The purpose of this article is to examine the application of talent development principles to the coaching of rugby. It will consider the generic and sport specific problems of talent identification and selection, particularly the danger of early selection that poses the dual problems of early disengagement on the one hand and over specialization on the other. The paper will touch upon the various proposed models of athlete development and discuss the ways in which a national governing body of sport can influence player development along the age continuum. The role of the individual coach in developing young players and the importance of coach development and education will also be considered. Understanding the needs of players at different times in their development, and having a clear knowledge of how to improve performance in an efficient, time restrained but also enjoyable manner is a key skill for any coach. However, this skill requires time to grow and many coach education systems do not provide the ongoing support mechanisms that will enable a coach to grow and flourish, resulting in a less than optimal coaching environment.

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Michael Wilkinson, Damon Leedale-Brown and Edward M. Winter

Purpose:

We examined the validity and reproducibility of a squash-specifc test designed to assess change-of-direction speed.

Methods:

10 male squash and 10 male association-football and rugby-union players completed the Illinois agility run (IAR) and a squash change-of-direction-speed test (SCODS) on separate days. Tests were repeated after 24 h to assess reproducibility. The best time from three attempts was recorded in each trial.

Results:

Performance times on the IAR (TE 0.27 s, 1.8%, 90% CI 0.21 to 0.37 s; LOA -0.12 s ± 0.74; LPR slope 1, intercept -2.8) and SCODS (TE 0.18 s, 1.5%, 90% CI 0.14 to 0.24 s; LOA 0.05 s ± 0.49; LPR slope 0.95, intercept 0.5) were reproducible. There were no statistically significant differences in performance time between squash (14.75 ± 0.66 s) and nonsquash players (14.79 ± 0.41 s) on the IAR. Squash players (10.90 ± 0.44 s) outperformed nonsquash players (12.20 ± 0.34 s) on the SCODS (P < .01). Squash player rank significantly correlated with SCODS performance time (Spearman’s ρ = 0.77, P < .01), but not IAR performance time (Spearman’s ρ = 0.43, P = .21).

Conclusions:

The results suggest that the SCODS test is a better measure of sport-specific capability than an equivalent nonspecific field test and that it is a valid and reliable tool for talent identification and athlete tracking.

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Elaine M. Blinde and James E. Tierney III

This study explored in depth the process by which sport psychology ideas and techniques are diffused into elite-level swimming programs in the United States. Three stages in the diffusion process were examined: initial exposure, degree of receptivity, and rate of implementation. A questionnaire designed to measure this diffusion process was mailed to the 165 Level 5 coaches in the U.S. Sources through which coaches are exposed to sport psychology were identified, as well as factors influencing levels of receptivity and implementation. Intercorrelations among initial exposure, receptivity, and implementation were also examined and factors were identified that may reduce levels of receptivity and implementation. Findings suggest that despite only a moderate degree of exposure, coaches are generally receptive and willing to implement sport psychology into their programs. Major obstacles to both receptivity and implementation were generally related to structural aspects of amateur swimming in the U.S. or the sport psychology community. Identification of such factors can help the sport psychology community improve the process by which its knowledge base is diffused into the sporting community.

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Alison Keogh, Barry Smyth, Brian Caulfield, Aonghus Lawlor, Jakim Berndsen and Cailbhe Doherty

Purpose: Despite the volume of available literature focusing on marathon running and the prediction of performance, no single prediction equations exists that is accurate for all runners of varying experiences and abilities. Indeed the relative merits and utility of the existing equations remain unclear. Thus, the aim of this study was to collate, characterize, compare, and contrast all available marathon prediction equations. Methods: A systematic review was conducted to identify observational research studies outlining any kind of prediction algorithm for marathon performance. Results: Thirty-six studies with 114 equations were identified. Sixty-one equations were based on training and anthropometric variables, whereas 53 equations included variables that required laboratory tests and equipment. The accuracy of these equations was denoted via a variety of metrics; r 2 values were provided for 68 equations (r 2 = .10–.99), and an SEE was provided for 19 equations (SEE 0.27–27.4 min). Conclusion: Heterogeneity of the data precludes the identification of a single “best” equation. Important variables such as course gradient, sex, and expected weather conditions were often not included, and some widely used equations did not report the r 2 value. Runners should therefore be wary of relying on a single equation to predict their performance.

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Helen T. Douda, Argyris G. Toubekis, Alexandra A. Avloniti and Savvas P. Tokmakidis

Purpose:

To identify the physiological and anthropometric predictors of rhythmic gymnastics performance, which was defined from the total ranking score of each athlete in a national competition.

Methods:

Thirty-four rhythmic gymnasts were divided into 2 groups, elite (n = 15) and nonelite (n = 19), and they underwent a battery of anthropometric, physical fitness, and physiological measurements. The principal-components analysis extracted 6 components: anthropometric, flexibility, explosive strength, aerobic capacity, body dimensions, and anaerobic metabolism. These were used in a simultaneous multiple-regression procedure to determine which best explain the variance in rhythmic gymnastics performance.

Results:

Based on the principal-component analysis, the anthropometric component explained 45% of the total variance, flexibility 12.1%, explosive strength 9.2%, aerobic capacity 7.4%, body dimensions 6.8%, and anaerobic metabolism 4.6%. Components of anthropometric (r = .50) and aerobic capacity (r = .49) were significantly correlated with performance (P < .01). When the multiple-regression model—y = 10.708 + (0.0005121 × VO2 max) + (0.157 × arm span) + (0.814 × midthigh circumference) - (0.293 × body mass)—was applied to elite gymnasts, 92.5% of the variation was explained by VO2max (58.9%), arm span (12%), midthigh circumference (13.1%), and body mass (8.5%).

Conclusion:

Selected anthropometric characteristics, aerobic power, flexibility, and explosive strength are important determinants of successful performance. These findings might have practical implications for both training and talent identification in rhythmic gymnastics.

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Sarah Kölling, Rob Duffield, Daniel Erlacher, Ranel Venter and Shona L. Halson

The body of research that reports the relevance of sleep in high-performance sports is growing steadily. While the identification of sleep cycles and diagnosis of sleep disorders are limited to lab-based assessment via polysomnography, the development of activity-based devices estimating sleep patterns provides greater insight into the sleep behavior of athletes in ecological settings. Generally, small sleep quantity and/or poor quality appears to exist in many athletic populations, although this may be related to training and competition context. Typical sleep-affecting factors are the scheduling of training sessions and competitions, as well as impaired sleep onset as a result of increased arousal prior to competition or due to the use of electronic devices before bedtime. Further challenges are travel demands, which may be accompanied by jet-lag symptoms and disruption of sleep habits. Promotion of sleep may be approached via behavioral strategies such as sleep hygiene, extending nighttime sleep, or daytime napping. Pharmacological interventions should be limited to clinically induced treatments, as evidence among healthy and athletic populations is lacking. To optimize and manage sleep in athletes, it is recommended to implement routine sleep monitoring on an individual basis.

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Sian V. Allen, Tom J. Vandenbogaerde, David B. Pyne and Will G. Hopkins

Talent identification and development typically involve allocation of resources toward athletes selected on the basis of early-career performance.

Purpose:

To compare 4 methods for early-career selection of Australia’s 2012 Olympic-qualifying swimmers.

Methods:

Performance times from 5738 Australian swimmers in individual Olympic events at 101 competitions from 2000 to 2012 were analyzed as percentages of world-record times using 4 methods that retrospectively simulated early selection of swimmers into a talent-development squad. For all methods, squad-selection thresholds were set to include 90% of Olympic qualifiers. One method used each swimmer’s given-year performance for selection, while the others predicted each swimmer’s 2012 performance. The predictive methods were regression and neural-network modeling using given-year performance and age and quadratic trajectories derived using mixed modeling of each swimmer’s annual best career performances up to the given year. All methods were applied to swimmers in 2007 and repeated for each subsequent year through 2011.

Results:

The regression model produced squad sizes of 562, 552, 188, 140, and 93 for the years 2007 through 2011. Corresponding proportions of the squads consisting of Olympic qualifiers were 11%, 11%, 32%, 43%, and 66%. Neural-network modeling produced similar outcomes, but the other methods were less effective. Swimming Australia’s actual squads ranged from 91 to 67 swimmers but included only 50−74% of Olympic qualifiers.

Conclusions:

Large talent-development squads are required to include most eventual Olympic qualifiers. Criteria additional to age and performance are needed to improve early selection of swimmers to talent-development squads.