Examination of different accelerometer cut-points for assessing sedentary behaviors in children.
Examination of different accelerometer cut-points for assessing sedentary behaviors in children.
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DOI:
10.1371/journal.pone.0090630
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发表时间:
2014
期刊:
影响因子:
3.7
通讯作者:
Welk GJ
中科院分区:
文献类型:
--
作者:
Kim Y;Lee JM;Peters BP;Gaesser GA;Welk GJ
Public health research on sedentary behavior (SB) in youth has heavily relied on accelerometers. However, it has been limited by the lack of consensus on the most accurate accelerometer cut-points as well as by unknown effects caused by accelerometer position (wrist vs. hip) and output (single axis vs. multiple axes). The present study systematically evaluates classification accuracy of different Actigraph cut-points for classifying SB using hip and wrist-worn monitors and establishes new cut-points to enable use of the 3-dimensional vector magnitude data (for both hip and wrist placement). A total of 125 children ages 7–13 yrs performed 12 randomly selected activities (from a set of 24 different activities) for 5 min each while wearing tri-axial Actigraph accelerometers on both the hip and wrist. The accelerometer data were categorized as either sedentary or non-sedentary minutes using six previously studied cut-points: 100counts-per-minute (CPM), 200CPM, 300CPM, 500CPM, 800CPM and 1100CPM. Classification accuracy was evaluated with Cohen's Kappa (κ) and new cut-points were identified from Receiver Operating Characteristic (ROC). Of the six cut-points, the 100CPM value yielded the highest classification accuracy (κ = 0.81) for hip placement. For wrist placement, all of the cut-points produced low classification accuracy (ranges of κ from 0.44 to 0.67). Optimal sedentary cut-points derived from ROC were 554.3CPM (ROC-AUC of 0.99) for vector magnitude for hip, 1756CPM (ROC-AUC of 0.94) for vertical axis for wrist, and 3958.3CPM (ROC-AUC of 0.93) for vector magnitude for wrist placement. The 100CPM was supported for use with vertical axis for hip placement, but not for wrist placement. The ROC-derived cut-points can be used to classify youth SB with the wrist and with vector magnitude data.
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影响因子:
5
作者:
Matthews, Charles E.;Chen, Kong Y.;Troiano, Richard P.
通讯作者:
Troiano, Richard P.
DOI:
10.1249/mss.0b013e318148436c
发表时间:
2007-11-01
期刊:
MEDICINE AND SCIENCE IN SPORTS AND EXERCISE
影响因子:
--
作者:
Chu, Eva Y. W.;McManus, Alison M.;Yu, Clare C. W.
通讯作者:
Yu, Clare C. W.
影响因子:
6.9
作者:
Cliff, Dylan P.;Okely, Anthony D.;Baur, Louise A.
通讯作者:
Baur, Louise A.
影响因子:
4.1
作者:
Atkin, Andrew J.;Ekelund, Ulf;Brage, Soren
通讯作者:
Brage, Soren
影响因子:
3.4
作者:
Evenson, Kelly R.;Catellier, Diane J.;McMurray, Robert G.
通讯作者:
McMurray, Robert G.