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    Peak-power estimation equations in 12- to 16-year old children: comparing linear with allometric models.

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    Authors
    Duncan, Michael J
    Hankey, Joanne
    Nevill, Alan M.
    Issue Date
    2013-08
    
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    Abstract
    This study examined the efficacy of peak-power estimation equations in children using force platform data and determined whether allometric modeling offers a sounder alternative to estimating peak power in pediatric samples. Ninety one boys and girls aged 12-16 years performed 3 countermovement jumps (CMJ) on a force platform. Estimated peak power (PPest) was determined using the Harman et al., Sayers SJ, Sayers CMJ, and Canavan and Vescovi equations. All 4 equations were associated with actual peak power (r = 0.893-0.909, all p < .01). There were significant differences between PPest using the Harman et al., Sayers SJ, and Sayers CMJ equations (p < .05) and actual peak power (PPactual). ANCOVA also indicated sex and age effect for PPactual (p < .01). Following a random two-thirds to one-third split of participants, an additive linear model (p = .0001) predicted PPactual (adjusted R2 = .866) from body mass and CMJ height in the two-thirds split (n = 60). An allometric model using CMJ height, body mass, and age was then developed with this sample, which predicted 88.8% of the variance in PPactual (p < .0001, adjusted R2 = .888). The regression equations were cross-validated using the one-third split sample (n = 31), evidencing a significant positive relationship (r = .910, p = .001) and no significant difference (p = .151) between PPactual and PPest using this equation. The allometric and linear models determined from this study provide accurate models to estimate peak power in children.
    Citation
    Peak-power estimation equations in 12- to 16-year old children: comparing linear with allometric models. 2013, 25 (3):385-93 Pediatr Exerc Sci
    Journal
    Pediatric exercise science
    URI
    http://hdl.handle.net/2436/300631
    PubMed ID
    23881526
    Type
    Journal article
    Language
    en
    ISSN
    1543-2920
    Collections
    Faculty of Education, Health and Wellbeing

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