File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Article: Accuracy of inclinometer functions of the activPAL and ActiGraph GT3X+: A focus on physical activity

TitleAccuracy of inclinometer functions of the activPAL and ActiGraph GT3X+: A focus on physical activity
Authors
KeywordsAccelerometer
Posture classification
Physical activity assessment
Inclinometer
Activity monitors
Activity classification
Issue Date2017
Citation
Gait and Posture, 2017, v. 51, p. 174-180 How to Cite?
Abstract© 2016 Elsevier B.V. Purpose The purpose of the study was to examine the accuracy of inclinometer functions of the ActiGraph GT3X+ (AG) (worn on the waist and wrist) and the activPAL (AP) in assessing time spent sitting, standing, and stepping. Methods A total of 62 adults (age: 18–40 yrs; male:37; female:25) wore three activity monitors (AG waist, and AG wrist, and AP) while completing 15 different types of activities. The 15 activities were classified into 3 different postures (sitting, standing, and stepping) based on the directly observed behaviors. Minutes estimated from the inclinometers of the three monitors were directly compared to those from direct observation (criterion method) using mean absolute percent error (MAPE) values, effect sizes (Cohen's D), and equivalence testing. Results The AP was more accurate than the both waist- and wrist-worn AG in both sitting and standing activities, but the AG was more accurate than the AP in stepping activity when the stepping activity was determined with 0.7 step/s threshold. Equivalence testing indicated that the time measured by the waist-, wrist-worn AG, and AP showed significant equivalence to the time in the equivalence zone (90% confidence interval: 2.7 to 3.3 min) for 6, 5, and 7 activities, respectively. Conclusions The AP was reasonably accurate for detecting sitting, standing, and stepping, and the AG was very accurate for classifying stepping when the stepping activity was determined by the formula created by 0.7 step/s threshold. It is expected that the result of the study would contribute to performing movement pattern analyses and health promotion research for classifying activities.
Persistent Identifierhttp://hdl.handle.net/10722/266769
ISSN
2023 Impact Factor: 2.2
2023 SCImago Journal Rankings: 0.724
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorAn, Hyun Sung-
dc.contributor.authorKim, Youngwon-
dc.contributor.authorLee, Jung Min-
dc.date.accessioned2019-01-31T07:19:32Z-
dc.date.available2019-01-31T07:19:32Z-
dc.date.issued2017-
dc.identifier.citationGait and Posture, 2017, v. 51, p. 174-180-
dc.identifier.issn0966-6362-
dc.identifier.urihttp://hdl.handle.net/10722/266769-
dc.description.abstract© 2016 Elsevier B.V. Purpose The purpose of the study was to examine the accuracy of inclinometer functions of the ActiGraph GT3X+ (AG) (worn on the waist and wrist) and the activPAL (AP) in assessing time spent sitting, standing, and stepping. Methods A total of 62 adults (age: 18–40 yrs; male:37; female:25) wore three activity monitors (AG waist, and AG wrist, and AP) while completing 15 different types of activities. The 15 activities were classified into 3 different postures (sitting, standing, and stepping) based on the directly observed behaviors. Minutes estimated from the inclinometers of the three monitors were directly compared to those from direct observation (criterion method) using mean absolute percent error (MAPE) values, effect sizes (Cohen's D), and equivalence testing. Results The AP was more accurate than the both waist- and wrist-worn AG in both sitting and standing activities, but the AG was more accurate than the AP in stepping activity when the stepping activity was determined with 0.7 step/s threshold. Equivalence testing indicated that the time measured by the waist-, wrist-worn AG, and AP showed significant equivalence to the time in the equivalence zone (90% confidence interval: 2.7 to 3.3 min) for 6, 5, and 7 activities, respectively. Conclusions The AP was reasonably accurate for detecting sitting, standing, and stepping, and the AG was very accurate for classifying stepping when the stepping activity was determined by the formula created by 0.7 step/s threshold. It is expected that the result of the study would contribute to performing movement pattern analyses and health promotion research for classifying activities.-
dc.languageeng-
dc.relation.ispartofGait and Posture-
dc.subjectAccelerometer-
dc.subjectPosture classification-
dc.subjectPhysical activity assessment-
dc.subjectInclinometer-
dc.subjectActivity monitors-
dc.subjectActivity classification-
dc.titleAccuracy of inclinometer functions of the activPAL and ActiGraph GT3X+: A focus on physical activity-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1016/j.gaitpost.2016.10.014-
dc.identifier.pmid27780084-
dc.identifier.scopuseid_2-s2.0-84993982689-
dc.identifier.volume51-
dc.identifier.spage174-
dc.identifier.epage180-
dc.identifier.eissn1879-2219-
dc.identifier.isiWOS:000390463000029-
dc.identifier.issnl0966-6362-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats