使用 GGIR R 包开发和评估成人 activPAL 久坐时间切点。
Development and Evaluation of Sedentary Time Cut-Points for the activPAL in Adults Using the GGIR R-Package.
机构信息
Division of Sport and Exercise, School of Health and Life Sciences, University of the West of Scotland, Lanarkshire Campus, Glasgow G72 0LH, Scotland, UK.
Research Centre for Population Health and Medical Informatics, Hong Kong Baptist University, Kowloon Tong, Hong Kong, China.
出版信息
Int J Environ Res Public Health. 2023 Jan 27;20(3):2293. doi: 10.3390/ijerph20032293.
The purpose of this study was to develop sedentary cut-points for the activPAL and evaluate their performance against a criterion measure (i.e., activPAL processed by PALbatch). Part 1: Thirty-five adults (23.4 ± 3.6 years) completed 12 laboratory activities (6 sedentary and 6 non-sedentary activities). Receiver operator characteristic (ROC) curves proposed optimal Euclidean Norm Minus One (ENMO) and Mean Amplitude Deviation (MAD) cut-points of 26.4 mg (ENMO) and 30.1 mg (MAD). Part 2: Thirty-eight adults (22.6 ± 4.1 years) wore an activPAL during free-living. Estimates from PALbatch and MAD revealed a mean percent error (MPE) of 2.2%, mean absolute percent error (MAPE) of 6.5%, limits of agreement (LoA) of 19% with absolute and relative equivalence zones of 5% and 0.3 SD. Estimates from PALbatch and ENMO revealed an MPE of -10.6%, MAPE of 14.4%, LoA of 31% and 16% and 1 SD equivalence zones. After standing was isolated from sedentary behaviours, ROC analysis proposed an optimal cut-off of 21.9 mg (herein ENMOs). Estimates from PALbatch and ENMOs revealed an MPE of 3.1%, MAPE of 7.5%, LoA of 25% and 9% and 0.5 SD equivalence zones. The MAD and ENMOs cut-points performed best in discriminating between sedentary and non-sedentary activity during free-living.
本研究旨在为 activPAL 制定久坐行为切点，并评估其与标准测量（即通过 PALbatch 处理的 activPAL）的性能。第 1 部分：35 名成年人（23.4±3.6 岁）完成了 12 项实验室活动（6 项久坐行为和 6 项非久坐行为）。接受者操作特征（ROC）曲线提出了最佳的欧几里得范数减一（ENMO）和平均幅度差（MAD）切点为 26.4mg（ENMO）和 30.1mg（MAD）。第 2 部分：38 名成年人（22.6±4.1 岁）在自由生活期间佩戴 activPAL。来自 PALbatch 和 MAD 的估计值显示平均百分比误差（MPE）为 2.2%，平均绝对百分比误差（MAPE）为 6.5%，一致性界限（LoA）为 19%，绝对和相对等效区为 5%和 0.3SD。来自 PALbatch 和 ENMO 的估计值显示 MPE 为-10.6%，MAPE 为 14.4%，LoA 为 31%和 16%以及 1SD 等效区。在将站立与久坐行为隔离开后，ROC 分析提出了 21.9mg 的最佳截断值（此处为 ENMOs）。来自 PALbatch 和 ENMOs 的估计值显示 MPE 为 3.1%，MAPE 为 7.5%，LoA 为 25%和 9%以及 0.5SD 等效区。MAD 和 ENMOs 切点在区分自由生活中的久坐和非久坐行为方面表现最佳。
Zotero 插件