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  • The Reliability and Validity of Using Ice to Measure Cold Pain Threshold

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    TilleyPUB4938.pdf (334.4Kb)
    Author(s)
    Tilley, Prue
    Bisset, Leanne
    Griffith University Author(s)
    Tilley, Prue L.
    Bisset, Leanne M.
    Year published
    2017
    Metadata
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    Abstract
    Cold pain threshold (CPT) measures an individual’s pain threshold in response to a cold stimulus. CPT is most accurately determined with specialised equipment; however this technology is not readily accessible to clinicians. Instead, ice has been employed to measure CPT. An optimal ice protocol has not yet been identified. The aim of this study was to evaluate the reliability and validity of two CPT protocols using ice in a young, healthy population. Twenty-two participants aged 22.6 (SD 1.81) years underwent CPT measurements over 6 anatomical sites across 3 protocols, which were repeated in 2 sessions. One protocol measured ...
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    Cold pain threshold (CPT) measures an individual’s pain threshold in response to a cold stimulus. CPT is most accurately determined with specialised equipment; however this technology is not readily accessible to clinicians. Instead, ice has been employed to measure CPT. An optimal ice protocol has not yet been identified. The aim of this study was to evaluate the reliability and validity of two CPT protocols using ice in a young, healthy population. Twenty-two participants aged 22.6 (SD 1.81) years underwent CPT measurements over 6 anatomical sites across 3 protocols, which were repeated in 2 sessions. One protocol measured pain (PVAS) following ice applied for a standardised period of 30 seconds; a second protocol measured time to onset of pain, and the reference standard measured CPT using laboratory equipment (TSA-II). The PVAS protocol demonstrated the best reliability (mean ICC 0.783, 95% CI 0.706 to 0.841), but the Timed protocol demonstrated superior validity compared to the reference standard (mean ICC −0.504, 95% CI −0.621 to −0.365).
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    Journal Title
    BioMed Research International
    Volume
    2017
    DOI
    https://doi.org/10.1155/2017/7640649
    Copyright Statement
    © 2017 Prue Tilley and Leanne Bisset. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
    Subject
    Clinical Sciences not elsewhere classified
    Biological Sciences
    Information and Computing Sciences
    Technology
    Publication URI
    http://hdl.handle.net/10072/373615
    Collection
    • Journal articles

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