Effects of body size and body mass on the swimming performance of preschool children |
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| Authors: | Sarah J. Erbaugh |
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| Affiliation: | 1. School of Human Kinetics, Faculty of Health Sciences, University of Ottawa, Ottawa, Ontario, Canada;2. Healthy Active Living and Obesity (HALO) Research Group, Children''s Hospital of Eastern Ontario Research Institute, Ottawa, Ontario, Canada;3. Folkhälsan Research Center, Helsinki, Finland;4. School of Exercise Science, Physical and Health Education, University of Victoria, Victoria, British Columbia, Canada;5. Clinical Research Unit, Children''s Hospital of Eastern Ontario Research Institute, Ottawa, Ontario, Canada;1. Department of Medicine, Universidad Cardenal Herrera-CEU, CEU Universities, Valencia, Spain;2. Department of Personality, Evaluation and Psychological Treatment, University of Valencia, Spain;4. Obesity and Cardiovascular Risk Unit, Pediatric Department, Consorcio Hospital General Universitario, University of Valencia, Spain;5. I3BH Innovation & Research Institute on Bioengineering for Humans, Universidad Politécnica de Valencia, Spain |
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| Abstract: | This research examined the relationship between body size and mass and the performance of 3- to 6-year-old children (n=117) on two categories of swimming tasks: Locomotion: Front and Locomotion: Back. The major hypothesis was that body size and mass measurements would be good predictors of children's swimming performance. The function of age/gender also was examined. Stepwise multiple regression was used to select the best predictors of swimming performance after controlling for amount of aquatic training and child's apprehensiveness about water. Body weight was the best predictor of children's swimming performance on each category of tasks (p<0.01). It accounted for at least 16% of performance variation when entered alone, and it accounted for 5% given age. Age was of little importance after body size and mass were taken into account. The major conclusion was that future research should incorporate more complex research designs to account for the network of influencing factors. |
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