Objective Measurement of Sociability and Activity: Mobile Sensing in the Community

Objective Measurement of Sociability and Activity: Mobile Sensing in the Community
复制标题

DOI:
10.1370/afm.1266
复制
发表时间:
2011-07-01
影响因子:
4.4
通讯作者:
Rabbi, Mashfiqui
Rabbi, Mashfiqui
中科院分区:
医学1区
文献类型:
--
作者:
Berke, Ethan M.;Choudhury, Tanzeem;Rabbi, Mashfiqui

文献摘要

被引文献

相似文献

自动化系统能够推断一个人在自然环境中的社会互动和身体活动的详细测量结果,可以更好地理解影响幸福的因素。我们评估了无线移动终端在测量社交能力和体力活动的老年人的可行性,并与传统的questionnaire. METHODS的结果进行了比较,这项试点观察性研究是在一个方便的样本8名男性和女性年龄在65岁或以上的持续护理退休社区。参与者佩戴了一个安装在腰间的设备,该设备包含持续捕获与行为和环境有关的数据的传感器(加速度计,麦克风,气压计以及温度,湿度和光线传感器)。这些传感器测量了在水平上行走、上下移动和静止(坐着或站着)所花费的时间,以及与一个或多个其他人交谈所花费的时间。参与者还完成了4份问卷:36项健康调查简表(SF-36),耶鲁大学体育活动调查(YPAS),流行病学研究中心抑郁症(CES-D)量表,和友谊Scale.Results21.3%的时间步行和64.4%的静止。女性花20.7%的时间步行,62.0%的时间静止。感觉身体活动与YPAS总分相关(r(2)= 0.79,P = 0.02)。感觉说话时间与SF-36的心理成分评分呈正相关(r(2)= 0.86,P = 0.03),与友谊量表评估的社会互动呈正相关(r(2)= 0.97,P = 0.002),并显示出与CES-D评分相关的趋势(r(2)= 0.75,P = 0.08)。在调整后的模型中,感觉说话的时间与SF-36心理成分评分(P = 0.08),社会互动测量的友谊量表(P = 0.045),和CES-D得分(P = 0.04)。结论移动的感知社交和活动是很好的相关性与传统的措施,不太容易与依赖于回忆问卷调查的偏见。使用移动的设备收集老年患者的数据并对其进行监测,有可能改善对老年患者健康变化的检测。
PURPOSE Automated systems able to infer detailed measures of a person's social interactions and physical activities in their natural environments could lead to better understanding of factors influencing well-being. We assessed the feasibility of a wireless mobile device in measuring sociability and physical activity in older adults, and compared results with those of traditional questionnaires.METHODS This pilot observational study was conducted among a convenience sample of 8 men and women aged 65 years or older in a continuing care retirement community. Participants wore a waist-mounted device containing sensors that continuously capture data pertaining to behavior and environment (accelerometer, microphone, barometer, and sensors for temperature, humidity, and light). The sensors measured time spent walking level, up or down an elevation, and stationary (sitting or standing), and time spent speaking with 1 or more other people. The participants also completed 4 questionnaires: the 36-Item Short Form Health Survey (SF-36), the Yale Physical Activity Survey (YPAS), the Center for Epidemiologic Studies Depression (CES-D) scale, and the Friendship Scale.RESULTS Men spent 21.3% of their time walking and 64.4% stationary. Women spent 20.7% of their time walking and 62.0% stationary. Sensed physical activity was correlated with aggregate YPAS scores (r(2) = 0.79, P = .02). Sensed time speaking was positively correlated with the mental component score of the SF-36 (r(2) = 0.86, P = .03), and social interaction as assessed with the Friendship Scale (r(2) = 0.97, P = .002), and showed a trend toward association with CES-D score (r(2) = 0.75, P = .08). In adjusted models, sensed time speaking was associated with SF-36 mental component score (P = .08), social interaction measured with the Friendship Scale (P = .045), and CES-D score (P = .04).CONCLUSIONS Mobile sensing of sociability and activity is well correlated with traditional measures and less prone to biases associated with questionnaires that rely on recall. Using mobile devices to collect data from and monitor older adult patients has the potential to improve detection of changes in their health.