Physical Activity Assessment with the ActiGraph GT3X and Doubly Labeled Water.
Physical Activity Assessment with the ActiGraph GT3X and Doubly Labeled Water.
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DOI：
10.1249/mss.0000000000001299
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发表时间：
2017-09
影响因子：
4.1
通讯作者：
Bassett DR Jr
中科院分区：
文献类型：
--
作者：
Chomistek AK;Yuan C;Matthews CE;Troiano RP;Bowles HR;Rood J;Barnett JB;Willett WC;Rimm EB;Bassett DR Jr
为了比较四个加速度计指标-每天总活动计数(TAC/d)、每天步数(Steps/d)、体力活动能量消耗(PAEE，大卡/公斤/天)和中等强度到剧烈体力活动(MVPA，min/d)-与双标记水(DLW)测量的PAEE的相关性程度。此外，还比较了基于垂直轴计数和三轴计数的加速度计指标。这项分析包括684名女性和611名男性，年龄在43-83岁之间。参与者在研究期间两次在臀部佩戴Actigraph GT3X七天，并使用两次测量的平均值。每个参与者还完成了一次DLW测量，其中一个子集有重复。通过从DLW估计的总每日能量消耗中减去静息代谢率和食物的热效应来估计PAEE。使用部分Spearman相关性来估计PAEE和每个加速度计指标之间的关联。三轴计数的加速度计指标与DLW确定的PAEE之间的相关性高于垂直轴计数。在调整了体重、年龄、加速度计磨损时间和脱脂质量后，基于三轴计数的TAC/d与DLW测定的PAEE之间的相关性在女性为0.44，在男性为0.41。步数/d和加速度计估计的PAEE与DLW确定的PAEE的相关性相似。在校正了DLW确定的PAEE的人内差异后，TAC/d的相关性分别增加到0.61和0.49。MVPA和DLW测定的PAEE的相关性较低，特别是在≥10分钟的改良组。代表总活动量的加速度计测量，包括TAC/d、Steps/d和PAEE，与使用传统阈值的MVPA相比，与DLW确定的PAEE具有更高的相关性，研究人员应该考虑将加速度计数据减少到单一度量。
To compare the degree to which four accelerometer metrics—total activity counts per day (TAC/d), steps per day (steps/d), physical activity energy expenditure (PAEE, kcal/kg/day), and moderate- to vigorous-intensity physical activity (MVPA, min/d)— were correlated with PAEE measured by doubly-labeled water (DLW). Additionally, accelerometer metrics based on vertical axis counts and triaxial counts were compared. This analysis included 684 women and 611 men aged 43 – 83 years. Participants wore the Actigraph GT3X on the hip for seven days twice during the study and the average of the two measurements was used. Each participant also completed one DLW measurement, with a subset having a repeat. PAEE was estimated by subtracting resting metabolic rate and the thermic effect of food from total daily energy expenditure estimated by DLW. Partial Spearman correlations were used to estimate associations between PAEE and each accelerometer metric. Correlations between the accelerometer metrics and DLW-determined PAEE were higher for triaxial counts than vertical axis counts. After adjusting for weight, age, accelerometer wear time, and fat free mass, the correlation between TAC/d based on triaxial counts and DLW-determined PAEE was 0.44 in women and 0.41 in men. Correlations for steps/d and accelerometer-estimated PAEE with DLW-determined PAEE were similar. After adjustment for within-person variation in DLW-determined PAEE, the correlations for TAC/d increased to 0.61 and 0.49, respectively. Correlations between MVPA and DLW-determined PAEE were lower, particularly for modified bouts of ≥10 minutes. Accelerometer measures that represent total activity volume, including TAC/d, steps/d, and PAEE, were more highly correlated with DLW-determined PAEE than MVPA using traditional thresholds and should be considered by researchers seeking to reduce accelerometer data to a single metric.