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
Welk GJ
中科院分区:
综合性期刊3区
文献类型:
--
作者:
Kim Y;Lee JM;Peters BP;Gaesser GA;Welk GJ

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青少年久坐行为(SB)的公共卫生研究严重依赖于加速度计。然而,由于缺乏对最准确的加速度计切割点的共识,以及加速度计位置(手腕与臀部)和输出(单轴与多轴)引起的未知影响,它一直受到限制。本研究系统地评估了不同Actigraph切割点对使用髋关节和手腕佩戴的监视器进行SB分类的准确性,并建立了新的切割点,以便使用三维矢量幅度数据(用于髋关节和手腕位置)。共有125名7-13岁的儿童进行了12项随机选择的活动(从一组24种不同的活动中),每次5分钟,同时在臀部和手腕上佩戴三轴Actigraph加速度计。加速度计数据使用先前研究过的6个切点:每分钟100次、每分钟200次、每分钟300次、每分钟500次、每分钟800次和每分钟1100CPM,被分类为久坐或非久坐分钟。采用Cohen’s Kappa (κ)评估分类准确率,并根据受试者工作特征(ROC)确定新的切点。在6个切点中,100CPM值对髋关节置入术的分类准确率最高(κ = 0.81)。对于手腕位置,所有切割点产生较低的分类精度(κ范围从0.44到0.67)。ROC得出的最佳久坐切点为:髋部矢量大小为554.3CPM (ROC- auc为0.99),腕部垂直轴为1756CPM (ROC- auc为0.94),腕部矢量大小为3958.3CPM (ROC- auc为0.93)。100CPM支持与垂直轴用于髋关节放置,但不用于手腕放置。roc衍生的切割点可用于用腕部和矢量幅度数据对青年SB进行分类。
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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