陈德龙, 赵广高, 付近梅, 孙顺利, 苏利强, 何梓豪, 黄婷, 陈睿铭, 蒋天乐, 胡学文, 李雨浓, 沈凡超. 幼儿结构化-非结构化身体活动行为测量方法建立与应用:基于视频观测与加速度传感器技术[J]. 成都体育学院学报, 2025, 51(3): 173-182. DOI: 10.15942/j.jcsu.2025.03.18
引用本文: 陈德龙, 赵广高, 付近梅, 孙顺利, 苏利强, 何梓豪, 黄婷, 陈睿铭, 蒋天乐, 胡学文, 李雨浓, 沈凡超. 幼儿结构化-非结构化身体活动行为测量方法建立与应用:基于视频观测与加速度传感器技术[J]. 成都体育学院学报, 2025, 51(3): 173-182. DOI: 10.15942/j.jcsu.2025.03.18
CHEN Delong, ZHAO Guanggao, FU Jinmei, SUN Shunli, SU Liqiang, HE Zihao, HUANG Ting, CHEN Ruiming, JIANG Tianle, HU Xuewen, LI Yunong, SHEN Fanchao. Establishment and Application of Structured-Unstructured Physical Activity Behavior Measurement Methods for Young Children: Based on Video Observation and Acceleration Sensor Technology[J]. Journal of Chengdu Sport University, 2025, 51(3): 173-182. DOI: 10.15942/j.jcsu.2025.03.18
Citation: CHEN Delong, ZHAO Guanggao, FU Jinmei, SUN Shunli, SU Liqiang, HE Zihao, HUANG Ting, CHEN Ruiming, JIANG Tianle, HU Xuewen, LI Yunong, SHEN Fanchao. Establishment and Application of Structured-Unstructured Physical Activity Behavior Measurement Methods for Young Children: Based on Video Observation and Acceleration Sensor Technology[J]. Journal of Chengdu Sport University, 2025, 51(3): 173-182. DOI: 10.15942/j.jcsu.2025.03.18

幼儿结构化-非结构化身体活动行为测量方法建立与应用:基于视频观测与加速度传感器技术

Establishment and Application of Structured-Unstructured Physical Activity Behavior Measurement Methods for Young Children: Based on Video Observation and Acceleration Sensor Technology

  • 摘要: 目的:基于视频观测与加速度传感器等技术,尝试建立幼儿结构化身体活动(SPA)与非结构化身体活动(USPA)的测量方法,探讨幼儿SPA与USPA的行为特征。方法:募集9所幼儿园3~6岁幼儿232名。根据以往量表结合专家访谈和德尔菲法形成《幼儿结构化-非结构化身体活动评定标准》,联合视频观测和加速度传感器ActiGraph GT3X-BT建立幼儿SPA与USPA测量和评价方法。结果:《幼儿结构化-非结构化身体活动评定标准》共2项类型指标、3项区域指标和与之对应的49项分类依据,协调系数(W)为0.457(P<0.001),变异系数(CV)为0.00~0.24;先验评定一致性为0.818;实测样本有效率91.8%;测量结果显示幼儿SPA占总PA的50.5%,结构化和非结构化的中高强度身体活动均各占总PA的18.1%;并在地区(城乡)、性别(男女)呈显著差异。结论:《幼儿结构化-非结构化身体活动评定标准》评定我国幼儿SPA与USPA行为特征的有效工具。联合使用视频观测与加速度传感器等技术可有效建立幼儿SPA与USPA测量方法。幼儿各强度SPA与USPA占比接近,且受性别与地区影响。

     

    Abstract: Objective: To establish methods to measure structured physical activity (SPA) and unstructured physical activity (USPA) based on video observation and acceleration sensors, and to explore the behavioral characteristics of SPA and USPA in young children. Methods: A total of 232 children aged 3-6 years from 9 kindergartners were recruited. According to the previous scales, expert interviews and Delphi method, the structured and unstructured physical activity assessment criteria for young children were formed. SPA and USPA measurement and evaluation methods were established by combining video observation and acceleration sensor ActiGraph GT3X-BT. Results: The structure-unstructured physical activity assessment criteria for young children included 2 type indicators, 3 regional indicators and 49 corresponding classification bases. The coordination coefficient (W) was 0.457 (P < 0.001), and the coefficient of variation (CV) was 0.00-0.24. The A priori consistency was 0.814. The effective rate of the measured samples was 91.8%. SPA accounted for 50.5% of total PA, and moderate-to-vigorous intensity physical activity in S and US each accounted for 18.1% of total PA. There were significant regional (urban and rural) and gender (male and female) differences. Conclusion: Structural-unstructured physical activity criteria for young children is an effective tool to assess the behavior characteristics of SPA and USPA in young children in China. Combined use of video observation and acceleration sensor technology can effectively establish SPA and USPA measurement methods in young children. The proportions of SPA and USPA in children are similar and affected by gender and region.

     

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