Department of Health and Exercise Science, Wake Forest University, Winston-Salem, North Carolina, USA.
Obesity (Silver Spring). 2013 Jan;21(1):32-44. doi: 10.1002/oby.20234.
The importance of physical activity in weight management is widely documented. Although accelerometers offer an objective measure of activity that provide a valuable tool for intervention research, considerations for processing these data need further development.
This study tests the effects of using different criteria for accelerometry data reduction.
Data were obtained from 2,240 overweight and obese individuals with type 2 diabetes mellitus (T2DM) from the Look AHEAD study, with 2,177 baseline accelerometer files used for analysis. Number, duration, and intensity of moderate (≥ 3 metabolic equivalents (METS)) and vigorous (≥ 6 METS) activity bouts were compared using various data reduction criteria. Daily wear time was identified as 1,440 min/day minus non-wear time. Comparisons of physical activity patterns for non-wear time (using either 20, 30, or 60 min of continuous zeros), minimal daily wear time (8, 10, and 12 h), number of days with available data (4, 5, and 6 days), weekdays vs. weekends, and 1- or 2-min time interruptions in an activity bout were performed.
In this mostly obese population with T2DM (BMI = 36.4 kg/m(2) ; mean age = 59.0 years), there were minimal differences in physical activity patterns using the different methods of data reduction. Altering criteria led to differences in the number of available data (sample size) meeting specific criteria.
Although our results are likely directly applicable only to obese individuals with T2DM, an understudied population with regards to physical activity, the systematic analysis for data reduction employed can be more generalizable and provide guidance in this area in the absence of standard procedures.
体力活动在体重管理中的重要性已被广泛记录。虽然加速度计提供了一种客观的活动测量方法,为干预研究提供了有价值的工具,但处理这些数据的注意事项还需要进一步发展。
本研究测试了使用不同的加速度计数据减少标准的效果。
数据来自 Look AHEAD 研究的 2240 名超重和肥胖的 2 型糖尿病患者,有 2177 个基线加速度计文件用于分析。使用不同的数据减少标准比较了中度(≥3 代谢当量(METs))和剧烈(≥6 METs)活动的次数、持续时间和强度。每日佩戴时间被定义为 1440 分钟/天减去不佩戴时间。比较了非佩戴时间(使用连续零的 20、30 或 60 分钟)、最小每日佩戴时间(8、10 和 12 小时)、可用数据天数(4、5 和 6 天)、工作日与周末以及活动中的 1 或 2 分钟时间中断的体力活动模式。
在这个主要由肥胖的 2 型糖尿病患者组成的人群中(BMI = 36.4kg/m2;平均年龄= 59.0 岁),使用不同的数据减少方法,体力活动模式的差异很小。改变标准会导致符合特定标准的可用数据数量(样本量)的差异。
虽然我们的结果可能仅直接适用于肥胖的 2 型糖尿病患者,这是一个关于体力活动的研究较少的人群,但所采用的系统数据分析在缺乏标准程序的情况下可能更具有普遍性,并为这一领域提供指导。