Repeated measurement of the gas exchange threshold

Relative size of measurement and biological variabilities

Alasdair G. Thin, Gabrielle E. Kelly, Leslie Daly, Paul McLoughlin

    Research output: Contribution to journalArticle

    Abstract

    If an individual's gas exchange threshold (GET) is measured on several separate occasions, without a change in aerobic fitness, a random variability will be observed. However, it is not known how much of this variability is biologically determined and how much results from variability in the calibration and measurement processes. The statistical re-sampling technique of Bootstrapping was used to estimate the variability of the GET on a single occasion. This analysis provides the first estimate of the combined contribution of breath-by-breath measurement and calibration processes (6%), to the total between-occasion random variability, leaving biological variability to account for the remainder of the imprecision in the measurement of the GET. © 2004 Elsevier Ltd. All rights reserved.

    Original languageEnglish
    Pages (from-to)703-716
    Number of pages14
    JournalComputers in Biology and Medicine
    Volume35
    Issue number8
    DOIs
    Publication statusPublished - Oct 2005

    Fingerprint

    gas exchange
    thresholds
    fitness
    estimates
    sampling

    Keywords

    • Aerobic fitness
    • Bootstrapping
    • Breath-by-breath
    • Exercise test
    • Gas exchange threshold
    • Limits of repeatability
    • Method variability
    • Reliability
    • Reproducibility

    Cite this

    Thin, Alasdair G. ; Kelly, Gabrielle E. ; Daly, Leslie ; McLoughlin, Paul. / Repeated measurement of the gas exchange threshold : Relative size of measurement and biological variabilities. In: Computers in Biology and Medicine. 2005 ; Vol. 35, No. 8. pp. 703-716.
    @article{123e4e58d1464f3d94b1ecb4cf103b3e,
    title = "Repeated measurement of the gas exchange threshold: Relative size of measurement and biological variabilities",
    abstract = "If an individual's gas exchange threshold (GET) is measured on several separate occasions, without a change in aerobic fitness, a random variability will be observed. However, it is not known how much of this variability is biologically determined and how much results from variability in the calibration and measurement processes. The statistical re-sampling technique of Bootstrapping was used to estimate the variability of the GET on a single occasion. This analysis provides the first estimate of the combined contribution of breath-by-breath measurement and calibration processes (6{\%}), to the total between-occasion random variability, leaving biological variability to account for the remainder of the imprecision in the measurement of the GET. {\circledC} 2004 Elsevier Ltd. All rights reserved.",
    keywords = "Aerobic fitness, Bootstrapping, Breath-by-breath, Exercise test, Gas exchange threshold, Limits of repeatability, Method variability, Reliability, Reproducibility",
    author = "Thin, {Alasdair G.} and Kelly, {Gabrielle E.} and Leslie Daly and Paul McLoughlin",
    year = "2005",
    month = "10",
    doi = "10.1016/j.compbiomed.2004.06.004",
    language = "English",
    volume = "35",
    pages = "703--716",
    journal = "Computers in Biology and Medicine",
    issn = "0010-4825",
    publisher = "Elsevier Limited",
    number = "8",

    }

    Repeated measurement of the gas exchange threshold : Relative size of measurement and biological variabilities. / Thin, Alasdair G.; Kelly, Gabrielle E.; Daly, Leslie; McLoughlin, Paul.

    In: Computers in Biology and Medicine, Vol. 35, No. 8, 10.2005, p. 703-716.

    Research output: Contribution to journalArticle

    TY - JOUR

    T1 - Repeated measurement of the gas exchange threshold

    T2 - Relative size of measurement and biological variabilities

    AU - Thin, Alasdair G.

    AU - Kelly, Gabrielle E.

    AU - Daly, Leslie

    AU - McLoughlin, Paul

    PY - 2005/10

    Y1 - 2005/10

    N2 - If an individual's gas exchange threshold (GET) is measured on several separate occasions, without a change in aerobic fitness, a random variability will be observed. However, it is not known how much of this variability is biologically determined and how much results from variability in the calibration and measurement processes. The statistical re-sampling technique of Bootstrapping was used to estimate the variability of the GET on a single occasion. This analysis provides the first estimate of the combined contribution of breath-by-breath measurement and calibration processes (6%), to the total between-occasion random variability, leaving biological variability to account for the remainder of the imprecision in the measurement of the GET. © 2004 Elsevier Ltd. All rights reserved.

    AB - If an individual's gas exchange threshold (GET) is measured on several separate occasions, without a change in aerobic fitness, a random variability will be observed. However, it is not known how much of this variability is biologically determined and how much results from variability in the calibration and measurement processes. The statistical re-sampling technique of Bootstrapping was used to estimate the variability of the GET on a single occasion. This analysis provides the first estimate of the combined contribution of breath-by-breath measurement and calibration processes (6%), to the total between-occasion random variability, leaving biological variability to account for the remainder of the imprecision in the measurement of the GET. © 2004 Elsevier Ltd. All rights reserved.

    KW - Aerobic fitness

    KW - Bootstrapping

    KW - Breath-by-breath

    KW - Exercise test

    KW - Gas exchange threshold

    KW - Limits of repeatability

    KW - Method variability

    KW - Reliability

    KW - Reproducibility

    U2 - 10.1016/j.compbiomed.2004.06.004

    DO - 10.1016/j.compbiomed.2004.06.004

    M3 - Article

    VL - 35

    SP - 703

    EP - 716

    JO - Computers in Biology and Medicine

    JF - Computers in Biology and Medicine

    SN - 0010-4825

    IS - 8

    ER -