Search Results - Experimental Aging Research

Rezaei, H., Gheitasi, M., Hosseini, S. M. “…Methodology In this quasi-experimental study, 30 professional male swimmers aged 20 to 40 years (mean ± SD age: intervention group = 28.85 ± 6.49, control group = 27.66 ± 6.19) were randomly assigned to experimental (n = 15) and control (n = 15) groups. …”

Newbury, J. W., Chessor, R. J., Evans, G. M., Allison, R. J., Roberts, C. J., Gough, L. A. “…Methods: Using a quasi-experimental design, twenty-nine world-class British swimmers (aged 16-30 years) provided a 10 mL venous blood sample (fasted) as part of their routine haematological screening in the September of three consecutive years (2018, 2019, and 2020). …”

Shaa, J., Yib, Q., Jiangb, X., Wangc, Z., Caod, H., Jiange, S. “…A better grasp of optimal pacing strategies will foster progress in this area and serve as a basis for future research and advancements.…”

Marica, A. V., Stoica, M., Dreve, A. A. “…This papersought to identify statistically significant differences between the results recorded by the participants, i.e. the performance of athletes at the beginning and end of the study, following an experimental intervention. The present research was carried out with the participation of 3 male athletes, aged between 20 and 36 years (m = 26), from the triathlon sports branch, with over 4 years of competitive experience, competitor in the National Championship. …”

Keats, S. “…Additionally, much of the running-related evidence is related to elite-level athletes, and there is a need to examine the effects of super shoes in age-group (non-elite) athletes. Objective: The broad aim of this study is to determine if male age-group triathletes reap the benefits of super shoes, with the specific research question being: Do carbon-plated running shoes improve running performance and performance-related kinematic variables in a simulated cycle-run transition in age-group long-distance triathletes? …”

Shan, S., Honghui, Y. “…INTRODUCTION Using Shanghai Swimming Flume System, this paper analyzes the effect of anaerobic threshold kicking of young swimmers in the flume, expands the flume training program of special kicking ability, improves the athletes' kicking ability. RESEARCH OBJECT AND EXPERIMENTAL SCHEME 12 male college swimmers (age 12.54±1.52yr; height 165.80±5.64cm; weight 53.14±5.49kg) participated in this study. …”

Ruiz-Navarro, J. J., Cuenca-Fernández, F., Papic, C., Gay, A., Morales-Ortíz, E., López-Contreras, G., Arellano, R. “…Ninety-two age-group national level swimmers randomly assigned into control (17 males and 18 females) and experimental groups (27 males and 30 females) took part in a cross-sectional study designed to test two maximal 15-m UUS performance efforts. …”

Carey, A. C. “…Collectively, the findings of this thesis recognise the strong relationship between RT and FT and the requirement for peak power and peak cadence for BMX Supercross athletes; however, would also suggest future research incorporates other pre-training strategies, in order to better understand BMX Supercross starting performance.…”

Umay, B., Atar, Ö., Koç, H. “…The research was designed as a quasi-experimental study, since there was no control group. …”

Kruse, J., Shim, A., Morgan, V., Ryan, K.

Braun, M., Stamford, B.

Dukic, R., Bošnjak, G., Jakovljevic, V., Tešanovic, G. “…Accordingly, there is a need for a more systematic approach to research and implementation of complex studies with a sufficient number of runners of all ages, both sexes of the elite level, and cooperation of academic researchers, clubs and athletes to enable studies that would provide significant statistics, analysis and interpretation. …”

Kozlowski, K. F., Ferrentino-DePriest, A., Cerny, F.

Costa, J., Silva, C., Santos, M., Fernandes, T., Faria, S. “…Intelligent approaches in sports using IoT devices to gather data, attempting to optimize athlete`s training and performance, are cutting edge research. Synergies between recent wearable hardware and wireless communication strategies, together with the advances in intelligent algorithms, which are able to perform online pattern recognition and classification with seamless results, are at the front line of high-performance sports coaching. …”

Minett, G. M., Fels-Camilleri, V., Bon, J. J., Impellizzeri, F. M., Borg, D. N. “…Method: Fourteen males, with mean (SD) age 22.4 (3.9) years, peak oxygen uptake 48.0 (6.6) mL·kg-1·min-1, and peak power output 330 (44) W, completed an incremental cycling test and 3 identical experimental sessions, in groups of 4 or 5. …”

Jafarnezhadgero, A. A., Hamlabadi, M. P., Sajedi, H., Granacher, U. “…Methods: Forty men and women aged 20-30 years participated in this study and were divided into two experimental groups. …”

Hirsch, A., Bieleke, M., Bertschinger, R., Schüler, J., Wolff, W. “…improves performance over merely setting performance goals (i.e., goal intentions; quantitative analysis). N = 59 participants (age: M = 23.9 ± 6.5 years) performed both tests twice in a 2-within (Experimental session: 1 vs. 2) × 2-between (Condition: goal vs. implementation intention) design. …”

Sadowski, J. “…The basic research method was a twelve-week experiment. The experimental groups carried out resistance training - group T on the training simulator, group P in the form of arm stroke swimming. …”

Marc, A., Sedeaud, A., Schipman, J., Saulière, G., Toussaint, J. F. “…Purpose: An increasing amount of people are turning to new challenges such as the completion of an ultra-marathon and choose to continue to train intensively despite advanced age. As a result, numerous epidemiological data are available and constitute an experimental model for the research community that studies the effects of aging on physiological functions. …”

Zacca, R., Azevedo, R., Chainok, P., Vilas-Boas, J. P., Castro, F. A. D. S., Pyne, D. B., Fernandes, R. J.