Physiological and anthropometric characteristics of top-level youth cross-country cyclists

Fornasiero, Alessandro; Savoldelli, Aldo; Modena, Roberto; Boccia, Gennaro; Pellegrini, Barbara; Schena, Federico

doi:10.1080/02640414.2017.1346271

Cited by 9 publications

(6 citation statements)

References 20 publications

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“…This becomes problematic when applying current findings to female development pathways and practices since gender can potentially influence youth athlete development. For example, the aerobic fitness evolution of young females progresses at slower rates to their male counterparts (Fornasiero et al, 2018). Furthermore, youth female athletes perceive their environment as a more task oriented climate (Murcia et al, 2008) and have a more long-term development focus than males (Li et al, 2018).…”

Section: Discussionmentioning

confidence: 99%

“…The last 20 years has seen large and robust literature emerge exploring various aspects of talent development (Coutinho et al, 2016;Rongen et al, 2018;Bennett et al, 2019). This research base has focused on a broad range of factors including identifying key aspects of the talent development environment (Wang et al, 2016;Li et al, 2017;Gledhill and Harwood, 2019), the importance of psycho-behavioral factors (Höner and Feichtinger, 2016;Erikstad et al, 2018a,b;Tedesqui and Young, 2018), physiological (Arazi et al, 2013;Forsman et al, 2016;Fornasiero et al, 2018;Jones et al, 2018), coaching (Romann et al, 2017;Peña-González et al, 2018), family (Domingues and Gonçalves, 2013;Elliott et al, 2018), and early experiences (Ford et al, 2009;Schorer et al, 2010;Coutinho et al, 2015) on the trajectory of young athletes. However, if the research-practice divide is to be effectively bridged for all athletes and robust implications for practice offered to practitioners, it is important to critically examine this evidence base and its applicability for both male and female athletes.…”

Section: Introductionmentioning

confidence: 99%

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What About the Girls? Exploring the Gender Data Gap in Talent Development

Curran

MacNamara

Passmore

2019

Front. Sports Act. Living

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Although there is an extensive literature about talent development, the lack of data pertaining to females is problematic. Indeed, the gender data gap can be seen in practically all domains including sport and exercise medicine. Evidence-based practice is the systematic reviewing of the best evidence in order to make informed choices about practice. Unfortunately, it may be that the data collected in sport is typically about male experiences, and not female; a rather unfortunate omission given that approximately half of the population is made up of women. When female athletes are underrepresented in research there are issues when making inferences about data collected in male dominated research domains to inform practice and policy for female athletes. In parallel, female sport participation is continually increasing worldwide. Recognizing the importance of evidence-based practice in driving policy and practice, and reflecting the gender data gap that is a consistent feature of (almost) all other domains, we were interested in examining whether a gender data gap exists in talent development research. The results suggest that a gender data gap exists in talent development research across all topics. Youth athlete development pathways may be failing to recognize the development requirements of females, particularly where female sports may be borrowing systems that are perceived to work for their male counterparts. In order to ensure robust evidence based practice in female youth sport there is a need to increase the visibility of female athletes in talent development literature.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

What About the Girls? Exploring the Gender Data Gap in Talent Development

Curran

MacNamara

Passmore

2019

Front. Sports Act. Living

View full text Add to dashboard Cite

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“…In addition, the PO LT2 (in W/kg) was equivalent to 66% of the PO VO2max in our cyclists, while this threshold corresponded to 80–87% of the PO VO2max in elite cross-country cyclists [ 5 , 8 , 10 ]. We also compared our results with those of the study by Fornasiero et al [ 36 ] in top-level young cross-country cyclists of the same age as our cyclists. (~16 years old).…”

Section: Discussionmentioning

confidence: 83%

Race Performance Prediction from the Physiological Profile in National Level Youth Cross-Country Cyclists

Mirizio

Muñóz

Muñoz³

et al. 2021

IJERPH

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Cross-country mountain biking is an Olympic sport discipline with high popularity among elite and amateur cyclists. However, there is a scarcity of data regarding the key determinants of performance, particularly in young cross-country cyclists. The aim of this study was to examine the physiological profile of youth national-level cross-country cyclists and to determine those variables that were able to best predict the performance in an official race. Ten youth cross-country cyclists of a national team underwent a complete evaluation that included anthropometric assessments, laboratory tests to evaluate the wattage at blood lactate thresholds and at maximal oxygen uptake (POVO2max), and field tests to make an in-depth power profile of the athletes. The data obtained in the above-mentioned tests was analysed along with total and partial race times during a competition belonging to the Union Cycliste Internationale (UCI) calendar. In the present study, large and statistically significant correlations (r = −0.67 to −0.95, p ≤ 0.05) were found between maximal and submaximal indices of aerobic fitness and cycling performance, especially when they were normalised to body mass. A multiple regression analysis demonstrated that the wattage at 2 mmol/L, 4 mmol/L and POVO2max were able to explain 82% of the variance in total race time. In summary, the results of this study support the use of maximal and submaximal indices of aerobic power as predictors of performance in youth cross-country cyclists.

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“…L. Mann, Dehghansai, & Baker, 2017). Namun ada juga beberapa pelatih dan praktisi olahraga yang melakukan pengukuran karakteristik fisiologi seperti pengukuran kapasitas aerobik dan pengukuran kapasitas anaerobik sebagai dasar daripada pemilihan calon-calon atlet tersebut (Fornasiero et al, 2017;Venckunas et al, 2016). Namun, daripada dua hal tersebut (pengukuran performa dan pengukuran karakteristik fisiologi), pengukuran performa merupakan pengukuran yang sering digunakan oleh pelatih ataupun praktisi olahraga dalam menentukan calon bibit atlet daripada setiap cabang olahraga (Spathis, Connick, Beckman, Newcombe, & Tweedy, 2015).…”

Section: Pendahuluanunclassified

Pengembangan prototipe sistem track timer untuk pengukuran kecepatan secara otomatis pada sprint 60-meter

Herman

Apriantono

Adiprawita

et al. 2021

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Saat ini sedang berkembang pencatatan waktu otomatis yang dijual oleh beberapa perusahan perlatan olahraga ternama seperti. Namun sayangnya, harga perangkat tersebut sangatlah mahal, dan membuat setiap pelatih ataupun praktisi olahraga terkendala untuk mendapatkannya. Karena fakta dan permasalahan tersebut, maka penelitian ini bertujuan untuk mengembangkan prototipe sistem pencatatan waktu untuk pengukuran kecepatan secara otomatis pada sprint 60-meter, dengan menggunakan perangkat sederhana dengan harga yang murah, namun memiliki tingkat presisi dan akurasi yang baik. Penelitian ini menggunakan metode penelitian research and development, dimana dalam proses pengembangan dan pembuatan pencatatan waktu otomatis, penelitian ini mengambil contoh dari timing gate yang sudah divalidasi sebelumnya. Dalam penelitian ini, kami juga sudah melakukan uji coba kepada 12 atlet sprinter (tinggi badan 172.8 ± 9.31, berat badan 61.05 ± 6.90, BMI 20.38 ± 0.87) terkait kegunaan alat tersebut. Rata-rata kecepatan lari seluruh subjek pada pos 10-meter adalah 2.44 ± 0.23 detik, pos 20-meter adalah 3.71 ± 0.18 detik, pos 30-meter adalah 4.75 ± 0.22 detik, pos 40-meter adalah 6.39 ± 0.31 detik, 50-meter adalah 7.65 ± 0.41 detik, dan 60-meter adalah 9.12 ± 0.49 detik. Penelitian research and development terkait pengembangan pencatatan waktu otomatis dalam penelitian ini, menunjukkan bahwa pencatatan waktu otomatis dapat dibuat dengan harga ekonomis, dan dapat digunakan untuk mengukur kecepatan lari 60-meter. Development of track timer prototype system for automatic speed measurement on 60-meter sprints AbstractCurrently, automatic track timers are being sold by several well-known sports equipment companies. Unfortunately, the price of the device is very expensive and makes every coach or practitioner constrained to get it. Because of these facts and problems, this research was aimed to develop a prototype track timer system for automatic speed measurement on a 60-meter sprint, using a simple device at a low price, but has a good level of precision and accuracy. This study used to research and development research methods, wherein the process of developing and manufacturing automatic track timers, this study takes the example of a timing gate that has been validated before. In this study, we have also tested 12 sprinters (height 172.8 ± 9.31, weight 61.05 ± 6.90, BMI 20.38 ± 0.87) related to the use of the tools. The average running speed of all subjects on a 10-meter post is 2.44 ± 0.23 seconds, a 20-meter post is 3.71 ± 0.18 seconds, a 30-meter post is 4.75 ± 0.22 seconds, a 40-meter post is 6.39 ± 0.31 seconds, 50- The meter is 7.65 ± 0.41 seconds, and the 60-meter is 9.12 ± 0.49 seconds. This research shows that track timers can be made at economical prices, and can be used to measure 60-meter running speed.

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Physiological and anthropometric characteristics of top-level youth cross-country cyclists

Cited by 9 publications

References 20 publications

What About the Girls? Exploring the Gender Data Gap in Talent Development

What About the Girls? Exploring the Gender Data Gap in Talent Development

Race Performance Prediction from the Physiological Profile in National Level Youth Cross-Country Cyclists

Pengembangan prototipe sistem track timer untuk pengukuran kecepatan secara otomatis pada sprint 60-meter

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