a Physical Activity Exchange, Research Institute of Sport and Exercise Sciences , Liverpool John Moores University , Liverpool , UK.
b Diabetes Research Centre , University of Leicester, Leicester General Hospital , Leicester , UK.
J Sports Sci. 2019 Aug;37(16):1910-1918. doi: 10.1080/02640414.2019.1605647. Epub 2019 Apr 23.
This study aimed to validate the Sedentary Sphere posture classification method from wrist-worn accelerometers in children. Twenty-seven 9-10-year-old children wore ActiGraph GT9X (AG) and GENEActiv (GA) accelerometers on both wrists, and activPAL on the thigh while completing prescribed activities: five sedentary activities, standing with a phone, walking (criterion for all 7: observation) and 10-min free-living play (criterion: activPAL). In an independent sample, 21 children wore AG and GA accelerometers on the non-dominant wrist and activPAL for two days of free-living. Per cent accuracy, pairwise 95% equivalence tests (±10% equivalence zone) and intra-class correlation coefficients (ICC) analyses were completed. Accuracy was similar, for prescribed activities irrespective of brand (non-dominant wrist: 77-78%; dominant wrist: 79%). Posture estimates were equivalent between wrists within brand (±6%, ICC > 0.81, lower 95% CI ≥ 0.75), between brands worn on the same wrist (±5%, ICC ≥ 0.84, lower 95% CI ≥ 0.80) and between brands worn on opposing wrists (±6%, ICC ≥ 0.78, lower 95% CI ≥ 0.72). Agreement with activPAL during free-living was 77%, but sedentary time was underestimated by 7% (GA) and 10% (AG). The Sedentary Sphere can be used to classify posture from wrist-worn AG and GA accelerometers for group-level estimates in children, but future work is needed to improve the algorithm for better individual-level results.
本研究旨在验证腕戴式加速度计的 Sedentary Sphere 姿势分类方法在儿童中的有效性。27 名 9-10 岁儿童同时佩戴 ActiGraph GT9X(AG)和 GENEActiv(GA)加速度计于两只手腕,以及 activPAL 于大腿,完成规定的活动:5 种坐姿活动、手持电话站立、行走(所有 7 种活动的标准:观察)和 10 分钟自由活动。在独立样本中,21 名儿童在两天的自由活动中于非优势手腕佩戴 AG 和 GA 加速度计以及 activPAL。完成了百分比准确性、两两 95%等效性检验(±10%等效区间)和组内相关系数(ICC)分析。无论品牌如何,规定活动的准确性相似(非优势手腕:77-78%;优势手腕:79%)。品牌内手腕之间的姿势估计值是等效的(±6%,ICC>0.81,下限 95%CI≥0.75),同一手腕上佩戴的品牌之间(±5%,ICC≥0.84,下限 95%CI≥0.80)和相反手腕上佩戴的品牌之间(±6%,ICC≥0.78,下限 95%CI≥0.72)。在自由活动中与 activPAL 的一致性为 77%,但坐姿时间低估了 7%(GA)和 10%(AG)。Sedentary Sphere 可用于从儿童佩戴的 AG 和 GA 加速度计分类姿势,用于组水平估计,但需要进一步改进算法以获得更好的个体水平结果。