Individual calibration of accelerometers in children and their health-related implications

Lynne M. Boddy, Conor Cunningham, Stuart J. Fairclough, Marie H. Murphy, Gavin Breslin, Lawrence Foweather, Rebecca M. Dagger, Lee E.F. Graves, Nicola D. Hopkins, Gareth Stratton

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    Abstract

    This study compared children’s physical activity (PA) levels, the prevalence of children meeting current guidelines of ≥60 minutes of daily moderate to vigorous PA (MVPA), and PA-health associations using individually calibrated (IC) and empirical accelerometer cutpoints. Data from 75 (n = 32 boys) 10–12 year old children were included in this study. Clustered cardiometabolic (CM) risk, directly measured cardiorespiratory fitness (CRF), anthropometric and 7 day accelerometer data were included within analysis. PA data were classified using Froude anchored IC, Evenson et al. (Evenson, K. R., Catellier, D. J., Gill, K., Ondrak, K. S., & McMurray, R. G. (2008). Calibration of two objective measures of physical activity for children. Journal of Sports Sciences, 26(14), 1557–1565. doi:10.1080/02640410802334196) (Ev) and Mackintosh et al. (Mackintosh, K. A., Fairclough, S. J., Stratton, G., & Ridgers, N. D. (2012). A calibration protocol for population-specific accelerometer cutpoints in children. PLoS One, 7(5), e36919. doi:10.1371/journal.pone.0036919) (Mack) cutpoints. The proportion of the cohort meeting ≥60mins MVPA/day ranged from 37%-56% depending on the cutpoints used. Reported PA differed significantly across the cutpoint sets. IC LPA and MPA were predictors of CRF (LPA: standardised β = 0.32, p = 0.002, MPA: standardised β = 0.27 p = 0.013). IC MPA also predicted BMI Z-score (standardised β = −0.35, p = 0.004). Ev VPA was a predictor of BMI Z-score (standardised β = −0.33, p = 0.012). Cutpoint choice has a substantial impact on reported PA levels though no significant associations with CM risk were observed. Froude IC cutpoints represent a promising approach towards classifying children’s PA data.

    Original languageEnglish
    Pages (from-to)1340-1345
    Number of pages6
    JournalJournal of Sports Sciences
    Volume36
    Issue number12
    DOIs
    Publication statusPublished - 18 Jun 2018

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    Calibration
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    Child Health
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    Health
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    Boddy, L. M., Cunningham, C., Fairclough, S. J., Murphy, M. H., Breslin, G., Foweather, L., ... Stratton, G. (2018). Individual calibration of accelerometers in children and their health-related implications. Journal of Sports Sciences, 36(12), 1340-1345. https://doi.org/10.1080/02640414.2017.1377842
    Boddy, Lynne M. ; Cunningham, Conor ; Fairclough, Stuart J. ; Murphy, Marie H. ; Breslin, Gavin ; Foweather, Lawrence ; Dagger, Rebecca M. ; Graves, Lee E.F. ; Hopkins, Nicola D. ; Stratton, Gareth. / Individual calibration of accelerometers in children and their health-related implications. In: Journal of Sports Sciences. 2018 ; Vol. 36, No. 12. pp. 1340-1345.
    @article{0944fb71d38e482caf4c342b0ed4d07e,
    title = "Individual calibration of accelerometers in children and their health-related implications",
    abstract = "This study compared children’s physical activity (PA) levels, the prevalence of children meeting current guidelines of ≥60 minutes of daily moderate to vigorous PA (MVPA), and PA-health associations using individually calibrated (IC) and empirical accelerometer cutpoints. Data from 75 (n = 32 boys) 10–12 year old children were included in this study. Clustered cardiometabolic (CM) risk, directly measured cardiorespiratory fitness (CRF), anthropometric and 7 day accelerometer data were included within analysis. PA data were classified using Froude anchored IC, Evenson et al. (Evenson, K. R., Catellier, D. J., Gill, K., Ondrak, K. S., & McMurray, R. G. (2008). Calibration of two objective measures of physical activity for children. Journal of Sports Sciences, 26(14), 1557–1565. doi:10.1080/02640410802334196) (Ev) and Mackintosh et al. (Mackintosh, K. A., Fairclough, S. J., Stratton, G., & Ridgers, N. D. (2012). A calibration protocol for population-specific accelerometer cutpoints in children. PLoS One, 7(5), e36919. doi:10.1371/journal.pone.0036919) (Mack) cutpoints. The proportion of the cohort meeting ≥60mins MVPA/day ranged from 37{\%}-56{\%} depending on the cutpoints used. Reported PA differed significantly across the cutpoint sets. IC LPA and MPA were predictors of CRF (LPA: standardised β = 0.32, p = 0.002, MPA: standardised β = 0.27 p = 0.013). IC MPA also predicted BMI Z-score (standardised β = −0.35, p = 0.004). Ev VPA was a predictor of BMI Z-score (standardised β = −0.33, p = 0.012). Cutpoint choice has a substantial impact on reported PA levels though no significant associations with CM risk were observed. Froude IC cutpoints represent a promising approach towards classifying children’s PA data.",
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    author = "Boddy, {Lynne M.} and Conor Cunningham and Fairclough, {Stuart J.} and Murphy, {Marie H.} and Gavin Breslin and Lawrence Foweather and Dagger, {Rebecca M.} and Graves, {Lee E.F.} and Hopkins, {Nicola D.} and Gareth Stratton",
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    Boddy, LM, Cunningham, C, Fairclough, SJ, Murphy, MH, Breslin, G, Foweather, L, Dagger, RM, Graves, LEF, Hopkins, ND & Stratton, G 2018, 'Individual calibration of accelerometers in children and their health-related implications' Journal of Sports Sciences, vol. 36, no. 12, pp. 1340-1345. https://doi.org/10.1080/02640414.2017.1377842

    Individual calibration of accelerometers in children and their health-related implications. / Boddy, Lynne M.; Cunningham, Conor; Fairclough, Stuart J.; Murphy, Marie H.; Breslin, Gavin; Foweather, Lawrence; Dagger, Rebecca M.; Graves, Lee E.F.; Hopkins, Nicola D.; Stratton, Gareth.

    In: Journal of Sports Sciences, Vol. 36, No. 12, 18.06.2018, p. 1340-1345.

    Research output: Contribution to journalArticle

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    AU - Murphy, Marie H.

    AU - Breslin, Gavin

    AU - Foweather, Lawrence

    AU - Dagger, Rebecca M.

    AU - Graves, Lee E.F.

    AU - Hopkins, Nicola D.

    AU - Stratton, Gareth

    PY - 2018/6/18

    Y1 - 2018/6/18

    N2 - This study compared children’s physical activity (PA) levels, the prevalence of children meeting current guidelines of ≥60 minutes of daily moderate to vigorous PA (MVPA), and PA-health associations using individually calibrated (IC) and empirical accelerometer cutpoints. Data from 75 (n = 32 boys) 10–12 year old children were included in this study. Clustered cardiometabolic (CM) risk, directly measured cardiorespiratory fitness (CRF), anthropometric and 7 day accelerometer data were included within analysis. PA data were classified using Froude anchored IC, Evenson et al. (Evenson, K. R., Catellier, D. J., Gill, K., Ondrak, K. S., & McMurray, R. G. (2008). Calibration of two objective measures of physical activity for children. Journal of Sports Sciences, 26(14), 1557–1565. doi:10.1080/02640410802334196) (Ev) and Mackintosh et al. (Mackintosh, K. A., Fairclough, S. J., Stratton, G., & Ridgers, N. D. (2012). A calibration protocol for population-specific accelerometer cutpoints in children. PLoS One, 7(5), e36919. doi:10.1371/journal.pone.0036919) (Mack) cutpoints. The proportion of the cohort meeting ≥60mins MVPA/day ranged from 37%-56% depending on the cutpoints used. Reported PA differed significantly across the cutpoint sets. IC LPA and MPA were predictors of CRF (LPA: standardised β = 0.32, p = 0.002, MPA: standardised β = 0.27 p = 0.013). IC MPA also predicted BMI Z-score (standardised β = −0.35, p = 0.004). Ev VPA was a predictor of BMI Z-score (standardised β = −0.33, p = 0.012). Cutpoint choice has a substantial impact on reported PA levels though no significant associations with CM risk were observed. Froude IC cutpoints represent a promising approach towards classifying children’s PA data.

    AB - This study compared children’s physical activity (PA) levels, the prevalence of children meeting current guidelines of ≥60 minutes of daily moderate to vigorous PA (MVPA), and PA-health associations using individually calibrated (IC) and empirical accelerometer cutpoints. Data from 75 (n = 32 boys) 10–12 year old children were included in this study. Clustered cardiometabolic (CM) risk, directly measured cardiorespiratory fitness (CRF), anthropometric and 7 day accelerometer data were included within analysis. PA data were classified using Froude anchored IC, Evenson et al. (Evenson, K. R., Catellier, D. J., Gill, K., Ondrak, K. S., & McMurray, R. G. (2008). Calibration of two objective measures of physical activity for children. Journal of Sports Sciences, 26(14), 1557–1565. doi:10.1080/02640410802334196) (Ev) and Mackintosh et al. (Mackintosh, K. A., Fairclough, S. J., Stratton, G., & Ridgers, N. D. (2012). A calibration protocol for population-specific accelerometer cutpoints in children. PLoS One, 7(5), e36919. doi:10.1371/journal.pone.0036919) (Mack) cutpoints. The proportion of the cohort meeting ≥60mins MVPA/day ranged from 37%-56% depending on the cutpoints used. Reported PA differed significantly across the cutpoint sets. IC LPA and MPA were predictors of CRF (LPA: standardised β = 0.32, p = 0.002, MPA: standardised β = 0.27 p = 0.013). IC MPA also predicted BMI Z-score (standardised β = −0.35, p = 0.004). Ev VPA was a predictor of BMI Z-score (standardised β = −0.33, p = 0.012). Cutpoint choice has a substantial impact on reported PA levels though no significant associations with CM risk were observed. Froude IC cutpoints represent a promising approach towards classifying children’s PA data.

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    Boddy LM, Cunningham C, Fairclough SJ, Murphy MH, Breslin G, Foweather L et al. Individual calibration of accelerometers in children and their health-related implications. Journal of Sports Sciences. 2018 Jun 18;36(12):1340-1345. https://doi.org/10.1080/02640414.2017.1377842