Physical development and swimming performance during biological maturation in young female swimmers.
The present study analyzed the development of physiological, biomechanical and anthropometrical parameters in young female swimmers and assessed the effect of these parameters on swimming performance during biological maturation. In total, 26 female swimmers participated in the study in which data were annually collected for two consecutive years. Body composition, basic anthropometrical parameters and biological age were measured. During the 400-m front-crawl swimming, the energy cost of swimming and stroking parameters were assessed. Peak oxygen consumption (VO2(peak)) was assessed by means of the backward-extrapolation technique recording VO2 during the first 20 sec of the recovery period after a maximal trial of 400-m distance. During the 2-year follow-up study period, age, height, body mass, body fat %, fat free mass, bone mineral mass, total bone mineral density, arm span and biological maturation values significantly increased during each year (p < 0.05). The tracking of the physical characteristics measured over the 2-year study period was relatively high (r > 0.694), except for the body fat% (r > 0.554). The tracking of the Tanner stages was also high (r = 0.759-0.780). Stepwise regression analyses showed that biomechanical factors (R2 > 0.322; p < 0.05) best characterized the 400-metre swimming performance in young female swimmers, followed by bioenergetical (R2 > 0.311; p < 0.05) and physical (R2 > 0.203; p < 0.05) factors during all three measurement times.
Lätt
Evelin
E
Institute of Sport Pedagogy and Coaching Sciences, Centre of Behavioural and Health Sciences, University of Tartu, Tartu, Estonia. evelin.latt@ut.ee
Jürimäe
Jaak
J
Haljaste
Kaja
K
Cicchella
Antonio
A
Purge
Priit
P
Jürimäe
Toivo
T
D000293:Adolescent; D001696:Biomechanical Phenomena; D015519:Bone Density; D002648:Child; D002657:Child Development; D005260:Female; D006801:Humans; D010101:Oxygen Consumption; D011627:Puberty / Q000502:physiology*; D012044:Regression Analysis; D013550:Swimming / Q000502:physiology*