Comparison of two different physical activity monitors
Comparison of two different physical activity monitors
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DOI：
10.1186/1471-2288-7-26
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发表时间：
2007-06-25
影响因子：
4
通讯作者：
Rumpler, William V.
中科院分区：
文献类型：
--
作者：
Paul, David R.;Kramer, Matthew;Rumpler, William V.
背景：了解身体活动（PA）和疾病之间的关系已成为研究兴趣的主要领域。活动监测器，量化长时间（数天或数周）的自由生活PA的设备，越来越多地用于估计PA。一系列不同品牌的活动监测器可供研究人员使用，但很少有人知道他们如何在现场不同水平的PA，也不知道是否可以在品牌之间进行数据转换。MM）15天。两个活动监测器都固定在穿在臀部的弹性带上，活动监测器的前后位置随机化。通过t检验、Pearson相关性、Bland-Altman图和变异系数（CV）测量活动监测器之间的差异和品牌相互转换的有效性。结果：AGR检测到的每日PA量显著更高（216.2 +/-106.2 vs. 188.0 +/-101.1计数/min，P <0.0001）。对于对数转换和原始数据，以CV表示的活动监测器之间的平均差异分别为3.1%和15.5%。当应用转换方程将数据集从一个品牌转换为另一个品牌时，差异不再显著，CV分别为2.2和11.7%，对数转换和原始data.Conclusion：虽然活动监测器预测PA在相同的尺度（计数/分钟），但这两个品牌之间的结果不具有直接可比性。然而，如果应用转换方程，则数据具有可比性，并且对数转换数据的结果更好。
Background: Understanding the relationships between physical activity (PA) and disease has become a major area of research interest. Activity monitors, devices that quantify free-living PA for prolonged periods of time (days or weeks), are increasingly being used to estimate PA. A range of different activity monitors brands are available for investigators to use, but little is known about how they respond to different levels of PA in the field, nor if data conversion between brands is possible.Methods: 56 women and men were fitted with two different activity monitors, the Actigraph((TM)) (Actigraph LLC; AGR) and the Actical((TM)) (Mini-Mitter Co.; MM) for 15 days. Both activity monitors were fixed to an elasticized belt worn over the hip, with the anterior and posterior position of the activity monitors randomized. Differences between activity monitors and the validity of brand inter-conversion were measured by t-tests, Pearson correlations, Bland-Altman plots, and coefficients of variation (CV).Results: The AGR detected a significantly greater amount of daily PA (216.2 +/- 106.2 vs. 188.0 +/- 101.1 counts/ min, P < 0.0001). The average difference between activity monitors expressed as a CV were 3.1 and 15.5% for log- transformed and raw data, respectively. When a conversion equation was applied to convert datasets from one brand to another, the differences were no longer significant, with CV's of 2.2 and 11.7%, log- transformed and raw data, respectively.Conclusion: Although activity monitors predict PA on the same scale (counts/ min), the results between these two brands are not directly comparable. However, the data are comparable if a conversion equation is applied, with better results for log- transformed data.