Equating accelerometer estimates among youth: The Rosetta Stone 2

Keith Brazendale, Michael Beets, Daniel Bornstein, Justin Moore, Russell Pate, Robert Weaver, Ryan Cooper, Jessica Chandler, Lars Anderson, Sigmund Anderssen, Greet Cardon, Ashley Cooper, Rachel DAVEY, Karsten Froberg, Pedro Hallal, Kathleen Janz, Katarzyna Kordas, Susi Kriemler, Jardena Puder, John Reilly & 4 others Jo Salmon, Luis Sardinha, Anna Timperio, Esther van Sluijs

    Research output: Contribution to journalArticle

    22 Citations (Scopus)

    Abstract

    Objectives

    Different accelerometer cutpoints used by different researchers often yields vastly different estimates of moderate-to-vigorous intensity physical activity (MVPA). This is recognized as cutpoint non-equivalence (CNE), which reduces the ability to accurately compare youth MVPA across studies. The objective of this research is to develop a cutpoint conversion system that standardizes minutes of MVPA for six different sets of published cutpoints.

    Design

    Secondary data analysis.

    Methods

    Data from the International Children's Accelerometer Database (ICAD; Spring 2014) consisting of 43,112 Actigraph accelerometer data files from 21 worldwide studies (children 3–18 years, 61.5% female) were used to develop prediction equations for six sets of published cutpoints. Linear and non-linear modeling, using a leave one out cross-validation technique, was employed to develop equations to convert MVPA from one set of cutpoints into another. Bland Altman plots illustrate the agreement between actual MVPA and predicted MVPA values.

    Results

    Across the total sample, mean MVPA ranged from 29.7 MVPA min d−1 (Puyau) to 126.1 MVPA min d−1 (Freedson 3 METs). Across conversion equations, median absolute percent error was 12.6% (range: 1.3 to 30.1) and the proportion of variance explained ranged from 66.7% to 99.8%. Mean difference for the best performing prediction equation (VC from EV) was −0.110 min d−1 (limits of agreement (LOA), −2.623 to 2.402). The mean difference for the worst performing prediction equation (FR3 from PY) was 34.76 min d−1 (LOA, −60.392 to 129.910).
    Conclusions

    For six different sets of published cutpoints, the use of this equating system can assist individuals attempting to synthesize the growing body of literature on Actigraph, accelerometry-derived MVPA
    Original languageEnglish
    Pages (from-to)242-249
    Number of pages8
    JournalJournal of Science and Medicine in Sport
    Volume19
    Issue number3
    DOIs
    Publication statusPublished - 2016

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    Brazendale, K., Beets, M., Bornstein, D., Moore, J., Pate, R., Weaver, R., ... van Sluijs, E. (2016). Equating accelerometer estimates among youth: The Rosetta Stone 2. Journal of Science and Medicine in Sport, 19(3), 242-249. https://doi.org/10.1016/j.jsams.2015.02.006