Performance of a commercial multi-sensor wearable (Fitbit Charge HR) in measuring physical activity and sleep in healthy children
This study sought to assess the performance of the Fitbit Charge HR, a consumer-level multi-sensor activity tracker, to measure physical activity and sleep in children. 59 healthy boys and girls aged 9-11 years old wore a Fitbit Charge HR, and accuracy of physical activity measures were evaluated re...
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| Veröffentlicht in: | PloS one 2020-09, Vol.15 (9), p.e0237719-e0237719 |
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| creator | Godino, Job G Wing, David de Zambotti, Massimiliano Baker, Fiona C Bagot, Kara Inkelis, Sarah Pautz, Carina Higgins, Michael Nichols, Jeanne Brumback, Ty Chevance, Guillaume Colrain, Ian M Patrick, Kevin Tapert, Susan F |
| description | This study sought to assess the performance of the Fitbit Charge HR, a consumer-level multi-sensor activity tracker, to measure physical activity and sleep in children.
59 healthy boys and girls aged 9-11 years old wore a Fitbit Charge HR, and accuracy of physical activity measures were evaluated relative to research-grade measures taken during a combination of 14 standardized laboratory- and field-based assessments of sitting, stationary cycling, treadmill walking or jogging, stair walking, outdoor walking, and agility drills. Accuracy of sleep measures were evaluated relative to polysomnography (PSG) in 26 boys and girls during an at-home unattended PSG overnight recording. The primary analyses included assessment of the agreement (biases) between measures using the Bland-Altman method, and epoch-by-epoch (EBE) analyses on a minute-by-minute basis.
Fitbit Charge HR underestimated steps (~11.8 steps per minute), heart rate (~3.58 bpm), and metabolic equivalents (~0.55 METs per minute) and overestimated energy expenditure (~0.34 kcal per minute) relative to research-grade measures (p< 0.05). The device showed an overall accuracy of 84.8% for classifying moderate and vigorous physical activity (MVPA) and sedentary and light physical activity (SLPA) (sensitivity MVPA: 85.4%; specificity SLPA: 83.1%). Mean estimates of bias for measuring total sleep time, wake after sleep onset, and heart rate during sleep were 14 min, 9 min, and 1.06 bpm, respectively, with 95.8% sensitivity in classifying sleep and 56.3% specificity in classifying wake epochs.
Fitbit Charge HR had adequate sensitivity in classifying moderate and vigorous intensity physical activity and sleep, but had limitations in detecting wake, and was more accurate in detecting heart rate during sleep than during exercise, in healthy children. Further research is needed to understand potential challenges and limitations of these consumer devices. |
| doi_str_mv | 10.1371/journal.pone.0237719 |
| format | Article |
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59 healthy boys and girls aged 9-11 years old wore a Fitbit Charge HR, and accuracy of physical activity measures were evaluated relative to research-grade measures taken during a combination of 14 standardized laboratory- and field-based assessments of sitting, stationary cycling, treadmill walking or jogging, stair walking, outdoor walking, and agility drills. Accuracy of sleep measures were evaluated relative to polysomnography (PSG) in 26 boys and girls during an at-home unattended PSG overnight recording. The primary analyses included assessment of the agreement (biases) between measures using the Bland-Altman method, and epoch-by-epoch (EBE) analyses on a minute-by-minute basis.
Fitbit Charge HR underestimated steps (~11.8 steps per minute), heart rate (~3.58 bpm), and metabolic equivalents (~0.55 METs per minute) and overestimated energy expenditure (~0.34 kcal per minute) relative to research-grade measures (p< 0.05). The device showed an overall accuracy of 84.8% for classifying moderate and vigorous physical activity (MVPA) and sedentary and light physical activity (SLPA) (sensitivity MVPA: 85.4%; specificity SLPA: 83.1%). Mean estimates of bias for measuring total sleep time, wake after sleep onset, and heart rate during sleep were 14 min, 9 min, and 1.06 bpm, respectively, with 95.8% sensitivity in classifying sleep and 56.3% specificity in classifying wake epochs.
Fitbit Charge HR had adequate sensitivity in classifying moderate and vigorous intensity physical activity and sleep, but had limitations in detecting wake, and was more accurate in detecting heart rate during sleep than during exercise, in healthy children. Further research is needed to understand potential challenges and limitations of these consumer devices.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0237719</identifier><identifier>PMID: 32886714</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Accelerometers ; Algorithms ; Analysis ; Biology and Life Sciences ; Biosensing Techniques - instrumentation ; Child ; Children ; Children's fitness ; Classification ; Energy expenditure ; Energy Metabolism ; Engineering and Technology ; Exercise ; Female ; Fitness Trackers ; Girls ; Health aspects ; Health sciences ; Heart Rate ; Humans ; Laboratories ; Male ; Medicine and Health Sciences ; People and Places ; Performance assessment ; Physical activity ; Physical fitness ; Polysomnography ; Population ; Psychiatry ; Quality ; Sedentary behavior ; Sensitivity ; Sensors ; Sleep ; Sleep and wakefulness ; Smart watches ; Social Sciences ; Teenagers ; Tracking devices ; Treadmills ; Walking</subject><ispartof>PloS one, 2020-09, Vol.15 (9), p.e0237719-e0237719</ispartof><rights>COPYRIGHT 2020 Public Library of Science</rights><rights>2020 Godino et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2020 Godino et al 2020 Godino et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c659t-662469925b0d15fb5a224740e8ed2354c4161f45a6a6bed347caacbcff93623a3</citedby><cites>FETCH-LOGICAL-c659t-662469925b0d15fb5a224740e8ed2354c4161f45a6a6bed347caacbcff93623a3</cites><orcidid>0000-0002-4852-6277</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7473549/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7473549/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,2102,2928,23866,27924,27925,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32886714$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Ferri, Raffaele</contributor><creatorcontrib>Godino, Job G</creatorcontrib><creatorcontrib>Wing, David</creatorcontrib><creatorcontrib>de Zambotti, Massimiliano</creatorcontrib><creatorcontrib>Baker, Fiona C</creatorcontrib><creatorcontrib>Bagot, Kara</creatorcontrib><creatorcontrib>Inkelis, Sarah</creatorcontrib><creatorcontrib>Pautz, Carina</creatorcontrib><creatorcontrib>Higgins, Michael</creatorcontrib><creatorcontrib>Nichols, Jeanne</creatorcontrib><creatorcontrib>Brumback, Ty</creatorcontrib><creatorcontrib>Chevance, Guillaume</creatorcontrib><creatorcontrib>Colrain, Ian M</creatorcontrib><creatorcontrib>Patrick, Kevin</creatorcontrib><creatorcontrib>Tapert, Susan F</creatorcontrib><title>Performance of a commercial multi-sensor wearable (Fitbit Charge HR) in measuring physical activity and sleep in healthy children</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>This study sought to assess the performance of the Fitbit Charge HR, a consumer-level multi-sensor activity tracker, to measure physical activity and sleep in children.
59 healthy boys and girls aged 9-11 years old wore a Fitbit Charge HR, and accuracy of physical activity measures were evaluated relative to research-grade measures taken during a combination of 14 standardized laboratory- and field-based assessments of sitting, stationary cycling, treadmill walking or jogging, stair walking, outdoor walking, and agility drills. Accuracy of sleep measures were evaluated relative to polysomnography (PSG) in 26 boys and girls during an at-home unattended PSG overnight recording. The primary analyses included assessment of the agreement (biases) between measures using the Bland-Altman method, and epoch-by-epoch (EBE) analyses on a minute-by-minute basis.
Fitbit Charge HR underestimated steps (~11.8 steps per minute), heart rate (~3.58 bpm), and metabolic equivalents (~0.55 METs per minute) and overestimated energy expenditure (~0.34 kcal per minute) relative to research-grade measures (p< 0.05). The device showed an overall accuracy of 84.8% for classifying moderate and vigorous physical activity (MVPA) and sedentary and light physical activity (SLPA) (sensitivity MVPA: 85.4%; specificity SLPA: 83.1%). Mean estimates of bias for measuring total sleep time, wake after sleep onset, and heart rate during sleep were 14 min, 9 min, and 1.06 bpm, respectively, with 95.8% sensitivity in classifying sleep and 56.3% specificity in classifying wake epochs.
Fitbit Charge HR had adequate sensitivity in classifying moderate and vigorous intensity physical activity and sleep, but had limitations in detecting wake, and was more accurate in detecting heart rate during sleep than during exercise, in healthy children. Further research is needed to understand potential challenges and limitations of these consumer devices.</description><subject>Accelerometers</subject><subject>Algorithms</subject><subject>Analysis</subject><subject>Biology and Life Sciences</subject><subject>Biosensing Techniques - instrumentation</subject><subject>Child</subject><subject>Children</subject><subject>Children's fitness</subject><subject>Classification</subject><subject>Energy expenditure</subject><subject>Energy Metabolism</subject><subject>Engineering and Technology</subject><subject>Exercise</subject><subject>Female</subject><subject>Fitness Trackers</subject><subject>Girls</subject><subject>Health aspects</subject><subject>Health sciences</subject><subject>Heart Rate</subject><subject>Humans</subject><subject>Laboratories</subject><subject>Male</subject><subject>Medicine and Health Sciences</subject><subject>People and Places</subject><subject>Performance assessment</subject><subject>Physical activity</subject><subject>Physical fitness</subject><subject>Polysomnography</subject><subject>Population</subject><subject>Psychiatry</subject><subject>Quality</subject><subject>Sedentary behavior</subject><subject>Sensitivity</subject><subject>Sensors</subject><subject>Sleep</subject><subject>Sleep and wakefulness</subject><subject>Smart watches</subject><subject>Social Sciences</subject><subject>Teenagers</subject><subject>Tracking 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Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Godino, Job G</au><au>Wing, David</au><au>de Zambotti, Massimiliano</au><au>Baker, Fiona C</au><au>Bagot, Kara</au><au>Inkelis, Sarah</au><au>Pautz, Carina</au><au>Higgins, Michael</au><au>Nichols, Jeanne</au><au>Brumback, Ty</au><au>Chevance, Guillaume</au><au>Colrain, Ian M</au><au>Patrick, Kevin</au><au>Tapert, Susan F</au><au>Ferri, Raffaele</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Performance of a commercial multi-sensor wearable (Fitbit Charge HR) in measuring physical activity and sleep in healthy children</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2020-09-04</date><risdate>2020</risdate><volume>15</volume><issue>9</issue><spage>e0237719</spage><epage>e0237719</epage><pages>e0237719-e0237719</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>This study sought to assess the performance of the Fitbit Charge HR, a consumer-level multi-sensor activity tracker, to measure physical activity and sleep in children.
59 healthy boys and girls aged 9-11 years old wore a Fitbit Charge HR, and accuracy of physical activity measures were evaluated relative to research-grade measures taken during a combination of 14 standardized laboratory- and field-based assessments of sitting, stationary cycling, treadmill walking or jogging, stair walking, outdoor walking, and agility drills. Accuracy of sleep measures were evaluated relative to polysomnography (PSG) in 26 boys and girls during an at-home unattended PSG overnight recording. The primary analyses included assessment of the agreement (biases) between measures using the Bland-Altman method, and epoch-by-epoch (EBE) analyses on a minute-by-minute basis.
Fitbit Charge HR underestimated steps (~11.8 steps per minute), heart rate (~3.58 bpm), and metabolic equivalents (~0.55 METs per minute) and overestimated energy expenditure (~0.34 kcal per minute) relative to research-grade measures (p< 0.05). The device showed an overall accuracy of 84.8% for classifying moderate and vigorous physical activity (MVPA) and sedentary and light physical activity (SLPA) (sensitivity MVPA: 85.4%; specificity SLPA: 83.1%). Mean estimates of bias for measuring total sleep time, wake after sleep onset, and heart rate during sleep were 14 min, 9 min, and 1.06 bpm, respectively, with 95.8% sensitivity in classifying sleep and 56.3% specificity in classifying wake epochs.
Fitbit Charge HR had adequate sensitivity in classifying moderate and vigorous intensity physical activity and sleep, but had limitations in detecting wake, and was more accurate in detecting heart rate during sleep than during exercise, in healthy children. Further research is needed to understand potential challenges and limitations of these consumer devices.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>32886714</pmid><doi>10.1371/journal.pone.0237719</doi><orcidid>https://orcid.org/0000-0002-4852-6277</orcidid><oa>free_for_read</oa></addata></record> |
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| language | eng |
| recordid | cdi_plos_journals_2440285537 |
| source | MEDLINE; DOAJ Directory of Open Access Journals; Public Library of Science (PLoS) Journals Open Access; EZB-FREE-00999 freely available EZB journals; PubMed Central; Free Full-Text Journals in Chemistry |
| subjects | Accelerometers Algorithms Analysis Biology and Life Sciences Biosensing Techniques - instrumentation Child Children Children's fitness Classification Energy expenditure Energy Metabolism Engineering and Technology Exercise Female Fitness Trackers Girls Health aspects Health sciences Heart Rate Humans Laboratories Male Medicine and Health Sciences People and Places Performance assessment Physical activity Physical fitness Polysomnography Population Psychiatry Quality Sedentary behavior Sensitivity Sensors Sleep Sleep and wakefulness Smart watches Social Sciences Teenagers Tracking devices Treadmills Walking |
| title | Performance of a commercial multi-sensor wearable (Fitbit Charge HR) in measuring physical activity and sleep in healthy children |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-24T03%3A12%3A19IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_plos_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Performance%20of%20a%20commercial%20multi-sensor%20wearable%20(Fitbit%20Charge%20HR)%20in%20measuring%20physical%20activity%20and%20sleep%20in%20healthy%20children&rft.jtitle=PloS%20one&rft.au=Godino,%20Job%20G&rft.date=2020-09-04&rft.volume=15&rft.issue=9&rft.spage=e0237719&rft.epage=e0237719&rft.pages=e0237719-e0237719&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0237719&rft_dat=%3Cgale_plos_%3EA634494215%3C/gale_plos_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2440285537&rft_id=info:pmid/32886714&rft_galeid=A634494215&rft_doaj_id=oai_doaj_org_article_0e911d94885c4345a78220ca25f7f949&rfr_iscdi=true |