Department of Neuroscience and Movement Science, Faculty of Medicine and Health Science, Norwegian University of Science and Technology, Norway.
Department of Neuroscience and Movement Science, Faculty of Medicine and Health Science, Norwegian University of Science and Technology, Norway.
J Sci Med Sport. 2019 May;22(5):557-561. doi: 10.1016/j.jsams.2018.11.011. Epub 2018 Nov 22.
The development of a reliable method for the identification of sedentary, light and moderate physical activities in older adults. The method consists of a validated set of definitions for the identification of the initiation and termination of physical activities performed by older adult participants, video recorded during free-living and a laboratory setting.
Inter-rater reliability assessment in a fully crossed design.
An iterative consensus process was used to define the initiation and termination of common activities of daily living. These definitions were then tested using videos recorded in two scenarios (1) by 9 raters who annotated a video recording, of a free-living protocol in a home environment, recorded in a first person view, using a body-worn camera and (2) by 7 raters who annotated a video recording, of older adults performing a semi-structured protocol in a living-lab environment, recorded in a third person view, using wall mounted cameras.
Inter-rater reliability was excellent for all items, with Krippendorff's alpha and Fleiss' kappa all above 0.84 and a percentage of agreement above 88%. All ICC(C,1) inter-rater values for the activity quantity and duration were all above 0.9.
This set of physical activity initiation and termination definitions offers independent researchers a gold standard method to allow for the consistent annotation of high-frequency video footage (25fps), in both a free-living and laboratory setting. When synchronised with body-worn or ambient sensors, this annotation will allow for the development and validation of physical activity classification systems to a higher resolution than before.
开发一种可靠的方法，用于识别老年人的久坐、低强度和中等强度体力活动。该方法由一套经过验证的定义组成，用于识别老年人参与者进行的体力活动的开始和结束，这些定义是在自由生活和实验室环境下通过视频记录获得的。
完全交叉设计的评分者间可靠性评估。
使用迭代共识过程来定义日常生活中常见活动的开始和结束。然后，使用两种情况下录制的视频（1）由 9 名评分者对一个视频记录进行注释，该视频记录是在家庭环境中的自由生活方案中，以第一人称视角记录，使用佩戴在身上的摄像机；（2）由 7 名评分者对一个视频记录进行注释，该视频记录是老年人在生活实验室环境中执行半结构化方案，以第三人称视角记录，使用壁挂式摄像机。
所有项目的评分者间可靠性均极佳，Krippendorff 的 alpha 和 Fleiss 的 kappa 均高于 0.84，且一致性百分比高于 88%。所有活动数量和持续时间的 ICC(C,1)评分者间值均高于 0.9。
这套体力活动开始和结束的定义为独立研究人员提供了一个黄金标准方法，可用于对高频视频（25fps）进行一致注释，无论是在自由生活还是实验室环境中。当与佩戴在身上的或环境传感器同步时，这种注释将允许开发和验证比以前更高分辨率的体力活动分类系统。
