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使用基于手机的CalFit和Actigraph进行身体活动测量的比较。

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

作者信息

Donaire-Gonzalez David, de Nazelle Audrey, Seto Edmund, Mendez Michelle, Nieuwenhuijsen Mark J, Jerrett Michael

机构信息

Center for Research in Environmental Epidemiology (CREAL), Barcelona, Catalonia, Spain.

出版信息

J Med Internet Res. 2013 Jun 13;15(6):e111. doi: 10.2196/jmir.2470.

Abstract

BACKGROUND

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.

OBJECTIVE

We sought to validate estimates of physical activity and determine the usability for large population-based studies of the smartphone-based CalFit software.

METHODS

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.

RESULTS

Approximately 64% (23/36) of participants were women. Mean age was 31 years (SD 8) and mean body mass index was 22 kg/m(2) (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).

CONCLUSIONS

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.

摘要

背景

关于身体活动的流行病学研究往往缺乏用于测量参与者身体活动水平的廉价、客观、有效且可重复的工具。智能手机中内置的新型传感技术有望填补这一空白。

目的

我们旨在验证身体活动估计值,并确定基于智能手机的CalFit软件在大规模人群研究中的可用性。

方法

来自西班牙巴塞罗那的36名参与者佩戴一部安装有CalFit软件的智能手机和一台Actigraph GT3X加速度计,为期5天。比较了两种设备的易用性(可用性)和身体活动测量值,包括垂直轴计数(VT)以及根据弗里德森算法得出的轻度、中度和剧烈强度的持续时间和能量消耗预测值。统计分析包括:(1)对可用性测量值进行克鲁斯卡尔-沃利斯秩和检验;(2)对VT计数进行斯皮尔曼相关性分析和线性回归;(3)一致性相关系数(CCC);(4)对持续时间和能量消耗测量值绘制布兰德-奥特曼图。

结果

约64%(23/36)的参与者为女性。平均年龄为31岁(标准差8),平均体重指数为22 kg/m²(标准差2)。总共25/36(69%)的参与者使用CalFit记录了至少3天且每天至少有10小时的身体活动记录。VT计数的线性关联和相关性很高(调整后R² = 0.85;相关系数0.932,95%置信区间0.931 - 0.933)。CCC显示在持续时间和能量消耗测量值方面具有高度一致性(范围从0.83至0.91)。

结论

CalFit系统的可用性低于Actigraph GT3X,因为该应用程序缺乏每次智能手机开机时自动开启的功能。CalFit系统可能为量化和分类身体活动提供有效的估计值。由于许多人已经携带手机,与其他专业仪器相比,CalFit可能在大规模人群健康研究中被证明更具成本效益且易于部署。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e1cf/3713904/e85f75229074/jmir_v15i6e111_fig1.jpg

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