Dorris Hannah J, Carlson Delaina D, Ballarino Grace A, Lopez Nanette V, Emond Jennifer A
Quantitative Biomedical Sciences Graduate Program, Geisel School of Medicine at Dartmouth College, Lebanon, New Hampshire, USA.
Department of Epidemiology, Geisel School of Medicine at Dartmouth College, Lebanon, New Hampshire, USA.
Child Care Health Dev. 2025 Jan;51(1):e70035. doi: 10.1111/cch.70035.
We aim to quantify the performance of accelerometry in objectively measuring physical activity (PA) intensity among infants and toddlers.
Thirty-eight 6- to 24-month-olds participated in a 30-min, semistructured lab visit. Twenty-three (61%) children could walk independently. Children engaged in a variety of activities while wearing accelerometers on each ankle and at the waist. Visits were video recorded, and study team members independently coded the first three 5-s epochs of each minute for PA intensity using a 5-level scale ranging from 1 = completely sedentary to 5 = moderate-to-high intensity. Interrater agreement for PA classifications was excellent (median kappa per child = 0.85). A series of logistic regression models were fit to find the vector magnitude threshold per 5-s epoch that differentiated activity intensity above each PA level with ≥ 80% sensitivity.
Analyses included 3191 epochs; a median of 88 epochs per child. The classification performance applying all thresholds concurrently for the five PA intensity levels was poor for each wear location (agreement < 50%, kappa < 0.25). Classification improved when concatenating intensity levels, with the best performance comparing sedentary (levels 1-2) to nonsedentary (levels 3-5) and using data from the left ankle device: agreement ≥ 77.6%, kappa ≥ 0.44. Applying those novel thresholds to predict the total time spent in level 3-5 activities over all coded epochs using linear regression performed as well as using the sum of vector magnitude across epochs when using data from the left ankle device. Overall, the performance of the left ankle wear location was similar to the right ankle wear location and superior to the waist location.
Ankle-worn accelerometry had adequate validity to classify in-the-moment nonsedentary behaviours and total time spent nonsedentary over a time interval among this sample of infants and toddlers. While caution is warranted when generalizing these lab-based findings to naturalistic settings, findings provide insight into objective measures of PA for this age range.
我们旨在量化加速度计在客观测量婴幼儿身体活动(PA)强度方面的表现。
38名6至24个月大的儿童参加了一次30分钟的半结构化实验室访问。其中23名(61%)儿童能够独立行走。孩子们在每个脚踝和腰部佩戴加速度计的同时进行了各种活动。访问过程进行了视频记录,研究团队成员使用从1 = 完全久坐到5 = 中等至高强度的5级量表,对每分钟的前三个5秒时间段的PA强度进行独立编码。PA分类的评分者间一致性极佳(每个孩子的中位数kappa = 0.85)。拟合了一系列逻辑回归模型,以找到每个5秒时间段的向量大小阈值,该阈值能以≥80%的灵敏度区分高于每个PA水平的活动强度。
分析包括3191个时间段;每个孩子的中位数为88个时间段。对于五个PA强度水平同时应用所有阈值进行分类时,每个佩戴位置的表现都很差(一致性<50%,kappa<0.25)。当合并强度水平时,分类有所改善,将久坐(1 - 2级)与非久坐(3 - 5级)进行比较并使用左脚踝设备的数据时表现最佳:一致性≥77.6%,kappa≥0.44。使用线性回归应用这些新阈值来预测所有编码时间段内3 - 5级活动所花费的总时间,与使用来自左脚踝设备的数据时各时间段向量大小之和的效果相同。总体而言,左脚踝佩戴位置的表现与右脚踝佩戴位置相似,且优于腰部位置。
在该样本的婴幼儿中,佩戴在脚踝的加速度计对于即时非久坐行为的分类以及在一段时间间隔内非久坐行为所花费的总时间具有足够的有效性。虽然在将这些基于实验室的研究结果推广到自然环境时需要谨慎,但研究结果为该年龄范围的PA客观测量提供了见解。