Interactive Multimodal Ambulatory Monitoring to Investigate the Association between Physical Activity and Affect
Interactive Multimodal Ambulatory Monitoring to Investigate the Association between Physical Activity and Affect
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DOI：
10.3389/fpsyg.2012.00596
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发表时间：
2013-01-01
影响因子：
3.8
通讯作者：
Kanning, M.
中科院分区：
文献类型：
--
作者：
Ebner-Priemer, U. W.;Koudela, S.;Kanning, M.
虽然有大量的证据表明，体育活动对心理健康有积极的影响，但很大一部分人都不活跃。关于计数、步数和运动模式的数据在解释人们为什么不活动的能力上是有限的。我们建议，多模式门诊监测，结合评估的身体活动与心理变量的评估，有助于阐明真实的世界的身体活动。虽然身体活动可以连续监测，但心理变量只能在离散的时间间隔（如每小时）进行评估。此外，心理变量的评估必须与感兴趣的活动联系起来。例如，如果一个不活动和超重的人每周进行一次身体活动，则应在此期间评估心理变量。将心理变量的评估与感兴趣的活动的情节联系起来可以通过交互式监测来实现。我们的交互式多模式动态监测方法的主要目的是有意增加“活动”发作期间的电子日志评估数量。我们开发并测试了一种交互式监测算法，可持续监测日常生活中的身体活动。当超过预定义的阈值时，该算法会触发一个信号，让参与者在他们的电子日记中回答问题。使用来自70名参与者的数据，每个人都佩戴了24小时的加速设备，我们发现，与随机抽样相比，我们的算法在感兴趣的活动期间使电子日记评估的频率增加了四倍。多模态交互式动态监测似乎是一种很有前途的方法，以提高我们对真实的世界的身体活动和运动的理解。
Although there is a wealth of evidence that physical activity has positive effects on psychological health, a large proportion of people are inactive. Data regarding counts, steps, and movement patterns are limited in their ability to explain why people remain inactive. We propose that multimodal ambulatory monitoring, which combines the assessment of physical activity with the assessment of psychological variables, helps to elucidate real world physical activity. Whereas physical activity can be monitored continuously, psychological variables can only be assessed at discrete intervals, such as every hour. Moreover, the assessment of psychological variables must be linked to the activity of interest. For example, if an inactive and overweight person is physically active once a week, psychological variables should be assessed during this episode. Linking the assessment of psychological variables to episodes of an activity of interest can be achieved with interactive monitoring. The primary aim of our interactive multimodal ambulatory monitoring approach was to intentionally increase the number of e-diary assessments during "active" episodes. We developed and tested an interactive monitoring algorithm that continuously monitors physical activity in everyday life. When predefined thresholds are surpassed, the algorithm triggers a signal for participants to answer questions in their electronic diary. Using data from 70 participants wearing an accelerative device for 24 h each, we found that our algorithm quadrupled the frequency of e-diary assessments during the activity episodes of interest compared to random sampling. Multimodal interactive ambulatory monitoring appears to be a promising approach to enhancing our understanding of real world physical activity and movement.