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    A Review of Accelerometer-based Activity Monitoring in Cancer Survivorship Research

    Access Status
    Fulltext not available
    Authors
    Peddle-Mcintyre, C.
    Cavalheri, Vinicius
    Boyle, Terry
    McVeigh, Joanne
    Jeffery, E.
    Lynch, B.
    Vallance, J.
    Date
    2018
    Type
    Journal Article
    
    Metadata
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    Citation
    Peddle-Mcintyre, C. and Cavalheri, V. and Boyle, T. and McVeigh, J. and Jeffery, E. and Lynch, B. and Vallance, J. 2018. A Review of Accelerometer-based Activity Monitoring in Cancer Survivorship Research. Medicine and Science in Sports and Exercise. 50 (9): pp. 1790-1801.
    Source Title
    Medicine and Science in Sports and Exercise
    DOI
    10.1249/MSS.0000000000001644
    ISSN
    0195-9131
    School
    School of Physiotherapy and Exercise Science
    URI
    http://hdl.handle.net/20.500.11937/72756
    Collection
    • Curtin Research Publications
    Abstract

    Background In the cancer survivorship context, physical activity and sedentary behavior have been measured using different methods. Purpose To conduct a narrative review of published research in cancer survivor populations to summarize the quality and identify gaps in reporting on accelerometer data collection, data processing, and outcome measures in cancer survivors. Methods An initial PubMed® search of articles published in English was conducted in January 2017, and a final search was conducted in May 2017. Variables extracted included study characteristics, methods for accelerometry data collection (e.g., device used), data processing (e.g., cut points used), and data reporting (e.g., time spent in different activity intensities). Results A total of 46 articles were eligible for inclusion in the review. The majority of studies (34 of 46) targeted a single cancer group and 18 of these 34 studies were in survivors of breast cancer. Half (54%) of the studies used an ActiGraph® accelerometer. Methods of accelerometer data processing varied across studies. Definitions of non-wear time, vectors used during processing, and filters applied during processing were reported by 51%, 60%, and 8% of studies, respectively. Most studies reported moderate and vigorous physical activity (78%), 50% reported sedentary time, and 43% reported light-intensity activity. Cut points to categorize these activities varied between studies. Conclusions This narrative review highlights inconsistency in the methods used to collect, process, and report accelerometry data across cancer survivor studies. Accelerometry has potential to add detailed knowledge of the levels and patterns of physical activities and sedentary behaviors across the cancer spectrum. Recommendations are made to improve data processing and reporting methods to maximize the scientific validity of future accelerometer research in this field.

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