Estimating physical activity in youth using an ankle accelerometer.

Estimating physical activity in youth using an ankle accelerometer.
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DOI:
10.1080/02640414.2018.1449091
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发表时间:
2018-10
影响因子:
3.4
通讯作者:
Bassett DR Jr
Bassett DR Jr
中科院分区:
医学2区
文献类型:
--
作者:
Crouter SE;Oody JF;Bassett DR Jr

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本研究开发并验证了用于腕式ActiGraph加速度计的矢量幅度(VM)双回归模型(2RM)。为了建立模型,181名青少年(平均±SD,年龄12.0±1.5岁)完成了30分钟的仰卧休息和2-7次结构化活动。为了交叉验证,42名青年(年龄,12.6±0.8岁)完成了大约2小时的非结构化身体活动(PA)。使用ActiGraph加速度计收集PA数据(非优势踝关节),VM以计数/5-s表示。测量的能量消耗(Cosmed K4b2)被转换为青年代谢当量(METy;活动VO2除以静息VO2)。计算每个活动的变异系数(CV),以区分连续步行/跑步和间歇活动。踝关节VM久坐行为阈值≤10计数/5-s, CV≤15计数/5-s用于识别步行/跑步。在非结构化PA期间,踝关节VM2RM与测量的METy在0.42 METy范围内(P>0.05)。踝关节VM2RM在久坐、LPA、MPA和VPA测量时间的5.7 min内(P < 0.05)。与K4b2相比,踝关节VM2RM在非结构化比赛中提供了类似的估计值,并为未来的研究提供了可行的磨损位置。
This study developed and validated a vector magnitude (VM) two-regression model (2RM) for use with an ankle-worn ActiGraph accelerometer. For model development, 181 youth (mean ± SD; age, 12.0 ± 1.5 yr) completed 30 min of supine rest and 2–7 structured activities. For cross-validation, 42 youth (age, 12.6 ± 0.8 yr) completed approximately 2 hr of unstructured physical activity (PA). PA data were collected using an ActiGraph accelerometer, (non-dominant ankle) and the VM was expressed as counts/5-s. Measured energy expenditure (Cosmed K4b2) was converted to youth METs (METy; activity VO2 divided by resting VO2). A coefficient of variation (CV) was calculated for each activity to distinguish continuous walking/running from intermittent activity. The ankle VM sedentary behavior threshold was ≤10 counts/5-s, and a CV≤15 counts/5-s was used to identify walking/running. The ankle VM2RM was within 0.42 METy of measured METy during the unstructured PA (P>0.05). The ankle VM2RM was within 5.7 min of measured time spent in sedentary, LPA, MPA, and VPA (P>0.05). Compared to the K4b2, the ankle VM2RM provided similar estimates to measured values during unstructured play and provides a feasible wear location for future studies.
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