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Full-Text Articles in Kinesiology
Two Different Approaches To Dry-Land Training Do Not Improve The Water Performance Of Swimmers, Matheus Silva Norberto, Carlos Augusto Kalva-Filho, Guilherme Navarro Schneider, Eduardo Zapaterra Campos, Marcelo Papoti
Two Different Approaches To Dry-Land Training Do Not Improve The Water Performance Of Swimmers, Matheus Silva Norberto, Carlos Augusto Kalva-Filho, Guilherme Navarro Schneider, Eduardo Zapaterra Campos, Marcelo Papoti
International Journal of Exercise Science
International Journal of Exercise Science 16(6): 770-790, 2023. Literature diverges about the performance improvement after dry-land training. Thus, the objective of the present study was to compare the effect of two models of dry-land training. Twenty-nine swimmers were divided into three groups, combined strength and power training (PTG), only strength training (STG), and a control group (CG). Measurements were taken for six weeks, before dry-land exposure (M1), after four weeks of specific training with exposure to dry-land training by two groups (M2), and after two weeks of taper without exposure to dry-land training (M3). Strength in specific exercises, jumping tests, …
Longitudinal Sport Science Implementation In American Collegiate Men’S Basketball, Jason Stone
Longitudinal Sport Science Implementation In American Collegiate Men’S Basketball, Jason Stone
Graduate Theses, Dissertations, and Problem Reports
The expanding opportunities to implement sport science frameworks in elite-level basketball environments coincide with the sport’s increasing global prominence. Concomitant to these opportunities is the continual growth of the sport technology market (e.g., wearables, force plates) and computational power (e.g., data management tools, coding capabilities), which yields solutions and challenges for both athletes and practitioners. Due to the rapid influx of new sport technologies in high performance environments, particularly American Collegiate Men’s Basketball, more formal and ecologically valid research on how to effectively utilize data derived from them, particularly over long periods of time (i.e., multiple seasons) is needed. To …