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

    20 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

    Fingerprint

    Exercise
    Accelerometry
    Information Storage and Retrieval
    Research Personnel
    Databases
    Research

    Cite this

    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
    Brazendale, Keith ; Beets, Michael ; Bornstein, Daniel ; Moore, Justin ; Pate, Russell ; Weaver, Robert ; Cooper, Ryan ; Chandler, Jessica ; Anderson, Lars ; Anderssen, Sigmund ; Cardon, Greet ; Cooper, Ashley ; DAVEY, Rachel ; Froberg, Karsten ; Hallal, Pedro ; Janz, Kathleen ; Kordas, Katarzyna ; Kriemler, Susi ; Puder, Jardena ; Reilly, John ; Salmon, Jo ; Sardinha, Luis ; Timperio, Anna ; van Sluijs, Esther. / Equating accelerometer estimates among youth: The Rosetta Stone 2. In: Journal of Science and Medicine in Sport. 2016 ; Vol. 19, No. 3. pp. 242-249.
    @article{66829ad612804ff89b971e524f85313b,
    title = "Equating accelerometer estimates among youth: The Rosetta Stone 2",
    abstract = "ObjectivesDifferent 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.DesignSecondary data analysis.MethodsData 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.ResultsAcross 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).ConclusionsFor 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",
    keywords = "Children, Cutpoints, MVPA, Measurement, Policy, Public health, Humans, Child, Preschool, Male, Reference Values, Exercise, Accelerometry/standards, Adolescent, Female, Child",
    author = "Keith Brazendale and Michael Beets and Daniel Bornstein and Justin Moore and Russell Pate and Robert Weaver and Ryan Cooper and Jessica Chandler and Lars Anderson and Sigmund Anderssen and Greet Cardon and Ashley Cooper and Rachel DAVEY and Karsten Froberg and Pedro Hallal and Kathleen Janz and Katarzyna Kordas and Susi Kriemler and Jardena Puder and John Reilly and Jo Salmon and Luis Sardinha and Anna Timperio and {van Sluijs}, Esther",
    year = "2016",
    doi = "10.1016/j.jsams.2015.02.006",
    language = "English",
    volume = "19",
    pages = "242--249",
    journal = "Australian Journal of Science and Medicine in Sport",
    issn = "1440-2440",
    publisher = "Elsevier",
    number = "3",

    }

    Brazendale, K, Beets, M, Bornstein, D, Moore, J, Pate, R, Weaver, R, Cooper, R, Chandler, J, Anderson, L, Anderssen, S, Cardon, G, Cooper, A, DAVEY, R, Froberg, K, Hallal, P, Janz, K, Kordas, K, Kriemler, S, Puder, J, Reilly, J, Salmon, J, Sardinha, L, Timperio, A & van Sluijs, E 2016, 'Equating accelerometer estimates among youth: The Rosetta Stone 2', Journal of Science and Medicine in Sport, vol. 19, no. 3, pp. 242-249. https://doi.org/10.1016/j.jsams.2015.02.006

    Equating accelerometer estimates among youth: The Rosetta Stone 2. / Brazendale, Keith; Beets, Michael; Bornstein, Daniel; Moore, Justin; Pate, Russell; Weaver, Robert; Cooper, Ryan; Chandler, Jessica; Anderson, Lars; Anderssen, Sigmund; Cardon, Greet; Cooper, Ashley; DAVEY, Rachel; Froberg, Karsten; Hallal, Pedro; Janz, Kathleen; Kordas, Katarzyna; Kriemler, Susi; Puder, Jardena; Reilly, John; Salmon, Jo; Sardinha, Luis; Timperio, Anna; van Sluijs, Esther.

    In: Journal of Science and Medicine in Sport, Vol. 19, No. 3, 2016, p. 242-249.

    Research output: Contribution to journalArticle

    TY - JOUR

    T1 - Equating accelerometer estimates among youth: The Rosetta Stone 2

    AU - Brazendale, Keith

    AU - Beets, Michael

    AU - Bornstein, Daniel

    AU - Moore, Justin

    AU - Pate, Russell

    AU - Weaver, Robert

    AU - Cooper, Ryan

    AU - Chandler, Jessica

    AU - Anderson, Lars

    AU - Anderssen, Sigmund

    AU - Cardon, Greet

    AU - Cooper, Ashley

    AU - DAVEY, Rachel

    AU - Froberg, Karsten

    AU - Hallal, Pedro

    AU - Janz, Kathleen

    AU - Kordas, Katarzyna

    AU - Kriemler, Susi

    AU - Puder, Jardena

    AU - Reilly, John

    AU - Salmon, Jo

    AU - Sardinha, Luis

    AU - Timperio, Anna

    AU - van Sluijs, Esther

    PY - 2016

    Y1 - 2016

    N2 - ObjectivesDifferent 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.DesignSecondary data analysis.MethodsData 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.ResultsAcross 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).ConclusionsFor 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

    AB - ObjectivesDifferent 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.DesignSecondary data analysis.MethodsData 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.ResultsAcross 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).ConclusionsFor 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

    KW - Children

    KW - Cutpoints

    KW - MVPA

    KW - Measurement

    KW - Policy

    KW - Public health

    KW - Humans

    KW - Child, Preschool

    KW - Male

    KW - Reference Values

    KW - Exercise

    KW - Accelerometry/standards

    KW - Adolescent

    KW - Female

    KW - Child

    UR - http://www.scopus.com/inward/record.url?scp=84958042348&partnerID=8YFLogxK

    UR - http://www.mendeley.com/research/equating-accelerometer-estimates-among-youth-rosetta-stone-2

    U2 - 10.1016/j.jsams.2015.02.006

    DO - 10.1016/j.jsams.2015.02.006

    M3 - Article

    VL - 19

    SP - 242

    EP - 249

    JO - Australian Journal of Science and Medicine in Sport

    JF - Australian Journal of Science and Medicine in Sport

    SN - 1440-2440

    IS - 3

    ER -