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dc.contributor.authorPeddle-Mcintyre, C.
dc.contributor.authorCavalheri, Vinicius
dc.contributor.authorBoyle, Terry
dc.contributor.authorMcVeigh, Joanne
dc.contributor.authorJeffery, E.
dc.contributor.authorLynch, B.
dc.contributor.authorVallance, J.
dc.date.accessioned2018-12-13T09:14:24Z
dc.date.available2018-12-13T09:14:24Z
dc.date.created2018-12-12T02:46:28Z
dc.date.issued2018
dc.identifier.citationPeddle-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.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/72756
dc.identifier.doi10.1249/MSS.0000000000001644
dc.description.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.

dc.publisherLippincott Williams & Wilkins
dc.titleA Review of Accelerometer-based Activity Monitoring in Cancer Survivorship Research
dc.typeJournal Article
dcterms.source.volume50
dcterms.source.number9
dcterms.source.startPage1790
dcterms.source.endPage1801
dcterms.source.issn0195-9131
dcterms.source.titleMedicine and Science in Sports and Exercise
curtin.departmentSchool of Physiotherapy and Exercise Science
curtin.accessStatusFulltext not available


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