Workload a-WEAR-ness: Monitoring Workload in Team Sports With Wearable Technology. A Scoping Review
To (1) identify the wearable devices and associated metrics used to monitor workload and assess injury risk, (2) describe the situations in which workload was monitored using wearable technology (including sports, purpose of the analysis, location and duration of monitoring, and athlete characterist...
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Veröffentlicht in: | The journal of orthopaedic and sports physical therapy 2020-10, Vol.50 (10), p.549-563 |
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creator | Benson, Lauren C Räisänen, Anu M Volkova, Valeriya G Pasanen, Kati Emery, Carolyn A |
description | To (1) identify the wearable devices and associated metrics used to monitor workload and assess injury risk, (2) describe the situations in which workload was monitored using wearable technology (including sports, purpose of the analysis, location and duration of monitoring, and athlete characteristics), and (3) evaluate the quality of evidence that workload monitoring can inform injury prevention.
Scoping review.
We searched the CINAHL, Cochrane Central Register of Controlled Trials, Cochrane Database of Systematic Reviews, Embase, HealthSTAR, MEDLINE, PsycINFO, SPORTDiscus, and Web of Science databases.
We included all studies that used wearable devices (eg, heart rate monitor, inertial measurement units, global positioning system) to monitor athlete workload in a team sport setting.
We provided visualizations that represented the workload metrics reported, sensors used, sports investigated, athlete characteristics, and the duration of monitoring.
The 407 included studies focused on team ball sports (67% soccer, rugby, or Australian football), male athletes (81% of studies), elite or professional level of competition (74% of studies), and young adults (69% of studies included athletes aged between 20 and 28 years). Thirty-six studies of 7 sports investigated the association between workload measured with wearable devices and injury.
Distance-based metrics derived from global positioning system units were common for monitoring workload and are frequently used to assess injury risk. Workload monitoring studies have focused on specific populations (eg, elite male soccer players in Europe and elite male rugby and Australian football players in Oceania). Different injury definitions and reported workload metrics and poor study quality impeded conclusions regarding the relationship between workload and injury.
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doi_str_mv | 10.2519/jospt.2020.9753 |
format | Article |
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Scoping review.
We searched the CINAHL, Cochrane Central Register of Controlled Trials, Cochrane Database of Systematic Reviews, Embase, HealthSTAR, MEDLINE, PsycINFO, SPORTDiscus, and Web of Science databases.
We included all studies that used wearable devices (eg, heart rate monitor, inertial measurement units, global positioning system) to monitor athlete workload in a team sport setting.
We provided visualizations that represented the workload metrics reported, sensors used, sports investigated, athlete characteristics, and the duration of monitoring.
The 407 included studies focused on team ball sports (67% soccer, rugby, or Australian football), male athletes (81% of studies), elite or professional level of competition (74% of studies), and young adults (69% of studies included athletes aged between 20 and 28 years). Thirty-six studies of 7 sports investigated the association between workload measured with wearable devices and injury.
Distance-based metrics derived from global positioning system units were common for monitoring workload and are frequently used to assess injury risk. Workload monitoring studies have focused on specific populations (eg, elite male soccer players in Europe and elite male rugby and Australian football players in Oceania). Different injury definitions and reported workload metrics and poor study quality impeded conclusions regarding the relationship between workload and injury.
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Scoping review.
We searched the CINAHL, Cochrane Central Register of Controlled Trials, Cochrane Database of Systematic Reviews, Embase, HealthSTAR, MEDLINE, PsycINFO, SPORTDiscus, and Web of Science databases.
We included all studies that used wearable devices (eg, heart rate monitor, inertial measurement units, global positioning system) to monitor athlete workload in a team sport setting.
We provided visualizations that represented the workload metrics reported, sensors used, sports investigated, athlete characteristics, and the duration of monitoring.
The 407 included studies focused on team ball sports (67% soccer, rugby, or Australian football), male athletes (81% of studies), elite or professional level of competition (74% of studies), and young adults (69% of studies included athletes aged between 20 and 28 years). Thirty-six studies of 7 sports investigated the association between workload measured with wearable devices and injury.
Distance-based metrics derived from global positioning system units were common for monitoring workload and are frequently used to assess injury risk. Workload monitoring studies have focused on specific populations (eg, elite male soccer players in Europe and elite male rugby and Australian football players in Oceania). Different injury definitions and reported workload metrics and poor study quality impeded conclusions regarding the relationship between workload and injury.
.</description><subject>Age Factors</subject><subject>Athletic Injuries - epidemiology</subject><subject>Athletic Injuries - prevention & control</subject><subject>Electrocardiography, Ambulatory</subject><subject>Europe</subject><subject>Fitness Trackers</subject><subject>Geographic Information Systems</subject><subject>Humans</subject><subject>Physical Conditioning, Human - instrumentation</subject><subject>Risk Factors</subject><subject>Sex Factors</subject><subject>Team Sports</subject><subject>Wearable Electronic Devices</subject><issn>0190-6011</issn><issn>1938-1344</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNo9kEtPwkAURidGI_hYuzOzdNMyrzIdd4TgI8GYAIblZBhuoVg6daZo-Pe2gtzNXdzzfTc5CN1RErOEqt7GhaqOGWEkVjLhZ6hLFU8jyoU4R11CFYn6hNIOugphQ5oRRFyiDmdKpX2adJGdO_9ZOLPEJpqPBpOohBAe8Zsr89r5vFzhE5CXeAZmi6eV83XA87xe4zkYbxYFNBe7Ll3hVvsYD_DUuqrNTuA7h58bdJGZIsDtcV-jj6fRbPgSjd-fX4eDcWSZknVErSSMCttPFeMSEplIoHSxZMAEZUwuGCjOjDWZBJupTBrTJ2kieCZYKiTh1-jh0Ft597WDUOttHiwUhSnB7YJmQshUNC9atHdArXcheMh05fOt8XtNiW7N6j-zujWrW7NN4v5YvltsYXni_1XyXxVZdAM</recordid><startdate>202010</startdate><enddate>202010</enddate><creator>Benson, Lauren C</creator><creator>Räisänen, Anu M</creator><creator>Volkova, Valeriya G</creator><creator>Pasanen, Kati</creator><creator>Emery, Carolyn A</creator><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>202010</creationdate><title>Workload a-WEAR-ness: Monitoring Workload in Team Sports With Wearable Technology. A Scoping Review</title><author>Benson, Lauren C ; Räisänen, Anu M ; Volkova, Valeriya G ; Pasanen, Kati ; Emery, Carolyn A</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c297t-1c70214c689237e5757e11bd2e241227b2e932acaf7ecf9f7aa608543f4284703</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Age Factors</topic><topic>Athletic Injuries - epidemiology</topic><topic>Athletic Injuries - prevention & control</topic><topic>Electrocardiography, Ambulatory</topic><topic>Europe</topic><topic>Fitness Trackers</topic><topic>Geographic Information Systems</topic><topic>Humans</topic><topic>Physical Conditioning, Human - instrumentation</topic><topic>Risk Factors</topic><topic>Sex Factors</topic><topic>Team Sports</topic><topic>Wearable Electronic Devices</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Benson, Lauren C</creatorcontrib><creatorcontrib>Räisänen, Anu M</creatorcontrib><creatorcontrib>Volkova, Valeriya G</creatorcontrib><creatorcontrib>Pasanen, Kati</creatorcontrib><creatorcontrib>Emery, Carolyn A</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>The journal of orthopaedic and sports physical therapy</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Benson, Lauren C</au><au>Räisänen, Anu M</au><au>Volkova, Valeriya G</au><au>Pasanen, Kati</au><au>Emery, Carolyn A</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Workload a-WEAR-ness: Monitoring Workload in Team Sports With Wearable Technology. A Scoping Review</atitle><jtitle>The journal of orthopaedic and sports physical therapy</jtitle><addtitle>J Orthop Sports Phys Ther</addtitle><date>2020-10</date><risdate>2020</risdate><volume>50</volume><issue>10</issue><spage>549</spage><epage>563</epage><pages>549-563</pages><issn>0190-6011</issn><eissn>1938-1344</eissn><abstract>To (1) identify the wearable devices and associated metrics used to monitor workload and assess injury risk, (2) describe the situations in which workload was monitored using wearable technology (including sports, purpose of the analysis, location and duration of monitoring, and athlete characteristics), and (3) evaluate the quality of evidence that workload monitoring can inform injury prevention.
Scoping review.
We searched the CINAHL, Cochrane Central Register of Controlled Trials, Cochrane Database of Systematic Reviews, Embase, HealthSTAR, MEDLINE, PsycINFO, SPORTDiscus, and Web of Science databases.
We included all studies that used wearable devices (eg, heart rate monitor, inertial measurement units, global positioning system) to monitor athlete workload in a team sport setting.
We provided visualizations that represented the workload metrics reported, sensors used, sports investigated, athlete characteristics, and the duration of monitoring.
The 407 included studies focused on team ball sports (67% soccer, rugby, or Australian football), male athletes (81% of studies), elite or professional level of competition (74% of studies), and young adults (69% of studies included athletes aged between 20 and 28 years). Thirty-six studies of 7 sports investigated the association between workload measured with wearable devices and injury.
Distance-based metrics derived from global positioning system units were common for monitoring workload and are frequently used to assess injury risk. Workload monitoring studies have focused on specific populations (eg, elite male soccer players in Europe and elite male rugby and Australian football players in Oceania). Different injury definitions and reported workload metrics and poor study quality impeded conclusions regarding the relationship between workload and injury.
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issn | 0190-6011 1938-1344 |
language | eng |
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source | MEDLINE; EZB Electronic Journals Library |
subjects | Age Factors Athletic Injuries - epidemiology Athletic Injuries - prevention & control Electrocardiography, Ambulatory Europe Fitness Trackers Geographic Information Systems Humans Physical Conditioning, Human - instrumentation Risk Factors Sex Factors Team Sports Wearable Electronic Devices |
title | Workload a-WEAR-ness: Monitoring Workload in Team Sports With Wearable Technology. A Scoping Review |
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