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Compared with adult athletes, rather little is known about supplementation behavior in adolescent athletes. This study’s aim was to determine elite adolescent athletes’ supplement use and sources of information relating thereto. A total of 430 (87%) of 496 questioned athletes returned the anonymized questionnaire. Thereof, 84% consumed at least one weekly supplement and 97% indicated some supplement intake during the previous 4 weeks. On average, 13.3 supplement servings were consumed per week. The 25th, 50th, and 75th percentile was 4.5, 10.5, and 20.0 servings per week, with a maximum of 67. The most prevalent supplements in use were multimineral products (41% of all athletes), multivitamins (34%), Vitamin C (34%), and Vitamin D (33%). Male athletes consumed significantly more Vitamin C and D, sports drinks, protein powder, and recovery products compared with female athletes; whereas, women consumed more iron supplements. The three most important motives for supplement use were recovery support (40%), health maintenance (39%), and performance enhancement (30%). The most frequent answers to the question “who recommended that you use supplements” were family/friends (36%), a physician (27%), and a trainer/coach (25%). The main three information sources about the supplements in use were the persons who recommended the supplementation (56%), the internet (25%), and information provided by supplement suppliers (11%). A positive doping attitude was associated with the consumption of performance enhancing supplements (p = .017). In conclusion, this study among elite adolescent Swiss athletes indicates a widespread and large-scale use of dietary supplements, which was associated with a low level of information quality.

Sports coaches’ commonly have a limited appreciation of pedagogy (Light & Evans, 2013). Furthermore, investigations concerning coaches’ use of performance analysis for athlete learning are rare (Groom, Cushion, & Nelson, 2011). Complex Learning Theory (CLT) advocates nonlinear and sociocultural educative approaches (Light, 2013). Considering this digital age, the aim of this investigation was to examine coaches’ use of Coach Logic—an online video-based coaching platform. Seven Head Coaches (five rugby union and two field hockey) were interviewed individually whilst their coaching staff and players contributed to group interviews. Results confirmed a priori themes of active, social and interpretive as derived from CLT. Analysis of these findings established that online coaching platforms have the capacity to facilitate the active involvement of athletes in the process of performance analysis. From a social perspective, online coaching platforms have helped to develop a positive team environment and also interpersonal working. Good practice was evident relating to interpretive approaches; however, the potential for coaches to embrace more radical conceptualisations of knowledge acquisition is stark. Online coaching platforms have a place in contemporary team sport environments and can contribute to athlete learning and other important aspects of team culture and cohesion.

Research has identified psychological skills and characteristics (PSCs) perceived to facilitate talented youth athletes’ development. However, no systematic categorization or synthesis of these PSCs exists to date. To provide such synthesis, this systematic review aimed to identify PSCs perceived as facilitative of talented youth athletes’ development, group and label synonymous PSCs, and categorize PSCs based on definitions established by Dohme, Backhouse, Piggott, and Morgan (2017). PRISMA systematic-review guidelines were employed and a comprehensive literature search of SPORTDiscus, PsycINFO, PsycARTICLES, and ERIC completed in November 2017. Twenty-five empirical studies published between 2002 and 2017 met the inclusion criteria. Through thematic analysis, 19 PSCs were identified as facilitative of youth athletes’ development—8 were categorized as psychological skills (e.g., goal setting, social-support seeking, and self-talk) and 11 as psychological characteristics (e.g., self-confidence, focus, and motivation). The practical implications of these findings are discussed.