Suppr超能文献

供社区合作伙伴用于为实施街道游戏提供信息的实时视频扫描方法。

Real-Time Video Scan Method for Community Partner Use to Inform Play Streets Implementation.

作者信息

Prochnow Tyler, Umstattd Meyer M Renée, Bridges Hamilton Christina N, Wilkins Emily, Pollack Porter Keshia M

机构信息

Baylor University, Waco, TX, USA.

Johns Hopkins University, Baltimore, MD, USA.

出版信息

Health Promot Pract. 2022 Nov;23(6):944-949. doi: 10.1177/15248399211009789. Epub 2021 May 10.

Abstract

System for Observing Play and Recreation in Communities (SOPARC) can provide accurate assessment of physical activity; however, the skills, time, and human resources necessary to collect/interpret SOPARC data can be challenging for community organizations. This article describes a more accessible adaptation of SOPARC using video recordings for community organizations to obtain physical activity feedback at Play Streets. Narrated panoramic video scans occurred every 30 minutes at each Play Street using an iPad. Videographers narrated: (1) sex, (2) age group (child, teen, adult, senior), and (3) activity level (sedentary, walking, vigorous) for everyone recorded. SOPARC video scans, in-person iSOPARC observations, and interviews were conducted with Play Streets implementors to determine validity and feasibility. Validity was examined using Lin's concordance correlation coefficient (CCC). In-person and video scans showed near perfect agreement for sedentary individuals (CCC = .95) and substantial agreement for active individuals (CCC = .72). Overall, community partners felt that they "could see how [the scans] could be useful" and "help[ed] see a bit more clearly what's happening." The method described here is a more accessible systematic observation approach to measure physical activity for communities implementing Play Streets. Further, this method can be used without research training while still providing valuable activity feedback.

摘要

社区游戏与娱乐观察系统(SOPARC)能够对身体活动进行准确评估;然而,收集/解读SOPARC数据所需的技能、时间和人力资源对社区组织来说可能具有挑战性。本文介绍了一种更便于使用的SOPARC改编方法,即利用录像让社区组织在游戏街道获取身体活动反馈。使用iPad在每条游戏街道每隔30分钟进行一次配有旁白的全景视频扫描。摄像人员对记录的每个人的以下信息进行旁白说明:(1)性别,(2)年龄组(儿童、青少年、成年人、老年人),以及(3)活动水平(久坐、步行、剧烈运动)。对游戏街道实施者进行了SOPARC视频扫描、现场iSOPARC观察及访谈,以确定其有效性和可行性。使用林氏一致性相关系数(CCC)检验有效性。现场观察和视频扫描显示,久坐不动者的结果几乎完全一致(CCC = 0.95),活动者的结果有实质性一致(CCC = 0.72)。总体而言,社区合作伙伴认为他们“能够明白[扫描结果]如何有用”,并且“有助于更清楚地了解正在发生的事情”。这里描述的方法是一种更便于使用的系统观察方法,用于为实施游戏街道的社区测量身体活动。此外,这种方法无需研究培训即可使用,同时仍能提供有价值的活动反馈。

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