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A Review of Emerging Analytical Techniques for Objective Physical Activity Measurement in Humans

Cain C. T. Clark, Claire Barnes Orcid Logo, Gareth Stratton Orcid Logo, Melitta McNarry Orcid Logo, Kelly Mackintosh Orcid Logo, Huw Summers Orcid Logo

Sports Medicine

Swansea University Authors: Claire Barnes Orcid Logo, Gareth Stratton Orcid Logo, Melitta McNarry Orcid Logo, Kelly Mackintosh Orcid Logo, Huw Summers Orcid Logo

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DOI (Published version): 10.1007/s40279-016-0585-y

Abstract

Physical inactivity is one of the most prevalent risk factors for non-communicable diseases in the world. A fundamental barrier to enhancing physical activity levels and decreasing sedentary behavior is limited by our understanding of associated measurement and analytical techniques. The number of a...

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Published in: Sports Medicine
ISSN: 0112-1642 1179-2035
Published: 2016
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URI: https://cronfa.swan.ac.uk/Record/cronfa29308
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A fundamental barrier to enhancing physical activity levels and decreasing sedentary behavior is limited by our understanding of associated measurement and analytical techniques. The number of analytical techniques for physical activity measurement has grown significantly, and although emerging techniques may advance analyses, little consensus is presently available and further synthesis is therefore required. The objective of this review was to identify the accuracy of emerging analytical techniques used for physical activity measurement in humans. We conducted a search of electronic databases using Web of Science, PubMed, and Google Scholar. This review included studies written in English and published between January 2010 and December 2014 that assessed physical activity using emerging analytical techniques and reported technique accuracy. A total of 2064 papers were initially retrieved from three databases. After duplicates were removed and remaining articles screened, 50 full-text articles were reviewed, resulting in the inclusion of 11 articles that met the eligibility criteria. Despite the diverse nature and the range in accuracy associated with some of the analytic techniques, the rapid development of analytics has demonstrated that more sensitive information about physical activity may be attained. 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spelling 2016-10-07T11:37:06.0890554 v2 29308 2016-07-29 A Review of Emerging Analytical Techniques for Objective Physical Activity Measurement in Humans 024232879fc13d5ceac584360af8742c 0000-0003-1031-7127 Claire Barnes Claire Barnes true false 6d62b2ed126961bed81a94a2beba8a01 0000-0001-5618-0803 Gareth Stratton Gareth Stratton true false 062f5697ff59f004bc8c713955988398 0000-0003-0813-7477 Melitta McNarry Melitta McNarry true false bdb20e3f31bcccf95c7bc116070c4214 0000-0003-0355-6357 Kelly Mackintosh Kelly Mackintosh true false a61c15e220837ebfa52648c143769427 0000-0002-0898-5612 Huw Summers Huw Summers true false 2016-07-29 MEDE Physical inactivity is one of the most prevalent risk factors for non-communicable diseases in the world. A fundamental barrier to enhancing physical activity levels and decreasing sedentary behavior is limited by our understanding of associated measurement and analytical techniques. The number of analytical techniques for physical activity measurement has grown significantly, and although emerging techniques may advance analyses, little consensus is presently available and further synthesis is therefore required. The objective of this review was to identify the accuracy of emerging analytical techniques used for physical activity measurement in humans. We conducted a search of electronic databases using Web of Science, PubMed, and Google Scholar. This review included studies written in English and published between January 2010 and December 2014 that assessed physical activity using emerging analytical techniques and reported technique accuracy. A total of 2064 papers were initially retrieved from three databases. After duplicates were removed and remaining articles screened, 50 full-text articles were reviewed, resulting in the inclusion of 11 articles that met the eligibility criteria. Despite the diverse nature and the range in accuracy associated with some of the analytic techniques, the rapid development of analytics has demonstrated that more sensitive information about physical activity may be attained. However, further refinement of these techniques is needed. Journal Article Sports Medicine 0112-1642 1179-2035 31 12 2016 2016-12-31 10.1007/s40279-016-0585-y COLLEGE NANME Biomedical Engineering COLLEGE CODE MEDE Swansea University 2016-10-07T11:37:06.0890554 2016-07-29T14:59:28.4600289 Faculty of Science and Engineering School of Engineering and Applied Sciences - Biomedical Engineering Cain C. T. Clark 1 Claire Barnes 0000-0003-1031-7127 2 Gareth Stratton 0000-0001-5618-0803 3 Melitta McNarry 0000-0003-0813-7477 4 Kelly Mackintosh 0000-0003-0355-6357 5 Huw Summers 0000-0002-0898-5612 6 0029308-29072016145958.pdf clark2016.pdf 2016-07-29T14:59:58.6130000 Output 5659941 application/pdf Accepted Manuscript true 2017-07-11T00:00:00.0000000 false
title A Review of Emerging Analytical Techniques for Objective Physical Activity Measurement in Humans
spellingShingle A Review of Emerging Analytical Techniques for Objective Physical Activity Measurement in Humans
Claire Barnes
Gareth Stratton
Melitta McNarry
Kelly Mackintosh
Huw Summers
title_short A Review of Emerging Analytical Techniques for Objective Physical Activity Measurement in Humans
title_full A Review of Emerging Analytical Techniques for Objective Physical Activity Measurement in Humans
title_fullStr A Review of Emerging Analytical Techniques for Objective Physical Activity Measurement in Humans
title_full_unstemmed A Review of Emerging Analytical Techniques for Objective Physical Activity Measurement in Humans
title_sort A Review of Emerging Analytical Techniques for Objective Physical Activity Measurement in Humans
author_id_str_mv 024232879fc13d5ceac584360af8742c
6d62b2ed126961bed81a94a2beba8a01
062f5697ff59f004bc8c713955988398
bdb20e3f31bcccf95c7bc116070c4214
a61c15e220837ebfa52648c143769427
author_id_fullname_str_mv 024232879fc13d5ceac584360af8742c_***_Claire Barnes
6d62b2ed126961bed81a94a2beba8a01_***_Gareth Stratton
062f5697ff59f004bc8c713955988398_***_Melitta McNarry
bdb20e3f31bcccf95c7bc116070c4214_***_Kelly Mackintosh
a61c15e220837ebfa52648c143769427_***_Huw Summers
author Claire Barnes
Gareth Stratton
Melitta McNarry
Kelly Mackintosh
Huw Summers
author2 Cain C. T. Clark
Claire Barnes
Gareth Stratton
Melitta McNarry
Kelly Mackintosh
Huw Summers
format Journal article
container_title Sports Medicine
publishDate 2016
institution Swansea University
issn 0112-1642
1179-2035
doi_str_mv 10.1007/s40279-016-0585-y
college_str Faculty of Science and Engineering
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hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Engineering and Applied Sciences - Biomedical Engineering{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Engineering and Applied Sciences - Biomedical Engineering
document_store_str 1
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description Physical inactivity is one of the most prevalent risk factors for non-communicable diseases in the world. A fundamental barrier to enhancing physical activity levels and decreasing sedentary behavior is limited by our understanding of associated measurement and analytical techniques. The number of analytical techniques for physical activity measurement has grown significantly, and although emerging techniques may advance analyses, little consensus is presently available and further synthesis is therefore required. The objective of this review was to identify the accuracy of emerging analytical techniques used for physical activity measurement in humans. We conducted a search of electronic databases using Web of Science, PubMed, and Google Scholar. This review included studies written in English and published between January 2010 and December 2014 that assessed physical activity using emerging analytical techniques and reported technique accuracy. A total of 2064 papers were initially retrieved from three databases. After duplicates were removed and remaining articles screened, 50 full-text articles were reviewed, resulting in the inclusion of 11 articles that met the eligibility criteria. Despite the diverse nature and the range in accuracy associated with some of the analytic techniques, the rapid development of analytics has demonstrated that more sensitive information about physical activity may be attained. However, further refinement of these techniques is needed.
published_date 2016-12-31T03:35:41Z
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