Comparison of physical activity measures using mobile phone-based CalFit and Actigraph.

Comparison of physical activity measures using mobile phone-based CalFit and Actigraph.
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DOI:
10.2196/jmir.2470
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发表时间:
2013-06-13
影响因子:
7.4
通讯作者:
Jerrett M
Jerrett M
中科院分区:
医学2区
文献类型:
--
作者:
Donaire-Gonzalez D;de Nazelle A;Seto E;Mendez M;Nieuwenhuijsen MJ;Jerrett M

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体育活动的流行病学研究往往缺乏廉价的,客观的,有效的,可重复的工具来测量参与者的体育活动水平。智能手机内置的新型传感技术有可能填补这一空白。我们试图验证身体活动的估计,并确定基于智能手机的CalFit软件的大规模人群研究的可用性。来自西班牙巴塞罗那的36名参与者的样本佩戴了带有CalFit软件和Actigraph GT 3X加速计的智能手机5天。比较了两种器械的易用性(可用性)和体力活动指标,包括垂直轴计数(VT)以及Freedson算法对轻度、中度和剧烈强度的持续时间和能量消耗预测。统计分析包括(1)可用性指标的Kruskal-Wallis秩和检验,(2)VT计数的斯皮尔曼相关性和线性回归,(3)一致性相关系数(CCC),以及(4)持续时间和能量消耗指标的Bland-Altman图。大约64%(23/36)的参与者是女性。平均年龄为31岁(SD 8),平均体重指数为22 kg/m2(SD 2)。总共有25/36(69%)的参与者使用CalFit记录了至少3天至少10小时的身体活动。VT计数的线性相关性和相关性较高(校正R2 =0.85;相关系数0.932,95%CI 0.931-0.933)。核心共同承诺表现出高度一致的持续时间和能源消耗的措施(从0.83至0.91)。CalFit系统的可用性低于Actigraph GT 3X,因为该应用程序缺乏在每次智能手机通电时打开其自身的方法。CalFit系统可以提供有效的估计来量化和分类身体活动。CalFit可能被证明比其他专业仪器更具成本效益,更容易部署用于大规模人口健康研究,因为许多人已经携带手机。
Epidemiological studies on physical activity often lack inexpensive, objective, valid, and reproducible tools for measuring physical activity levels of participants. Novel sensing technologies built into smartphones offer the potential to fill this gap. We sought to validate estimates of physical activity and determine the usability for large population-based studies of the smartphone-based CalFit software. A sample of 36 participants from Barcelona, Spain, wore a smartphone with CalFit software and an Actigraph GT3X accelerometer for 5 days. The ease of use (usability) and physical activity measures from both devices were compared, including vertical axis counts (VT) and duration and energy expenditure predictions for light, moderate, and vigorous intensity from Freedson’s algorithm. Statistical analyses included (1) Kruskal-Wallis rank sum test for usability measures, (2) Spearman correlation and linear regression for VT counts, (3) concordance correlation coefficient (CCC), and (4) Bland-Altman plots for duration and energy expenditure measures. Approximately 64% (23/36) of participants were women. Mean age was 31 years (SD 8) and mean body mass index was 22 kg/m2 (SD 2). In total, 25/36 (69%) participants recorded at least 3 days with at least 10 recorded hours of physical activity using CalFit. The linear association and correlations for VT counts were high (adjusted R 2=0.85; correlation coefficient .932, 95% CI 0.931-0.933). CCCs showed high agreement for duration and energy expenditure measures (from 0.83 to 0.91). The CalFit system had lower usability than the Actigraph GT3X because the application lacked a means to turn itself on each time the smartphone was powered on. The CalFit system may provide valid estimates to quantify and classify physical activity. CalFit may prove to be more cost-effective and easily deployed for large-scale population health studies than other specialized instruments because cell phones are already carried by many people.
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发表时间: 1998-05-01
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影响因子: --
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