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

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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 PP est 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 PP actual and PPest using this equation. The allometric and linear models determined from this study provide accurate models to estimate peak power in children.
    Original languageEnglish
    Pages (from-to)385-393
    JournalPediatric Exercise Science
    Volume25
    Issue number3
    Publication statusPublished - 2013

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    Linear Models
    Body Height
    Pediatrics

    Bibliographical note

    The full text of this item is not available from the repository.

    Keywords

    • peak-power estimation
    • allometric modelling

    Cite this

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    title = "Peak-power estimation equations in 12- to 16-year-old children: Comparing linear with allometric models",
    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 PP est 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 PP actual and PPest using this equation. The allometric and linear models determined from this study provide accurate models to estimate peak power in children.",
    keywords = "peak-power estimation, allometric modelling",
    author = "Duncan, {Michael J.} and Joanne Hankey and A.M. Nevill",
    note = "The full text of this item is not available from the repository.",
    year = "2013",
    language = "English",
    volume = "25",
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    T1 - Peak-power estimation equations in 12- to 16-year-old children: Comparing linear with allometric models

    AU - Duncan, Michael J.

    AU - Hankey, Joanne

    AU - Nevill, A.M.

    N1 - The full text of this item is not available from the repository.

    PY - 2013

    Y1 - 2013

    N2 - 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 PP est 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 PP actual and PPest using this equation. The allometric and linear models determined from this study provide accurate models to estimate peak power in children.

    AB - 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 PP est 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 PP actual and PPest using this equation. The allometric and linear models determined from this study provide accurate models to estimate peak power in children.

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    KW - allometric modelling

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    JO - Pediatric Exercise Science

    JF - Pediatric Exercise Science

    SN - 0899-8493

    IS - 3

    ER -