Spatial physical activity patterns among primary school children living in neighbourhoods of varying socioeconomic status: a cross-sectional study using accelerometry and Global Positioning System
Spatial physical activity patterns among primary school children living in neighbourhoods of varying socioeconomic status: a cross-sectional study using accelerometry and Global Positioning System
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DOI：
10.1186/s12889-016-2954-8
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发表时间：
2016-03-22
影响因子：
4.5
通讯作者：
de Bruin, Eling D.
中科院分区：
文献类型：
--
作者：
Burgi, Rahel;Tomatis, Laura;de Bruin, Eling D.
背景：社区社会经济地位 (SES) 已被证明与健康状况和超重相关，与个人 SES 无关。然而，关于社区社会经济地位与儿童体育活动之间关系的结果并不明确。特别是，尚不清楚社会经济因素如何影响儿童中等剧烈体力活动（MVPA）和久坐行为（SB）的空间背景。本研究旨在通过全球定位系统 (GPS) 和加速测量来调查儿童参与 MVPA 和 SB 的地点是否因社区 SES 的不同而不同。 方法：参与者包括来自瑞士苏黎世低和高 SES 地区的 9 所公立学校的 83 名 7-9 岁儿童。孩子们连续 7 天佩戴加速计和 GPS 传感器。时间匹配的加速度计和 GPS 数据通过地理信息系统进行映射，每个数据点分配给八个活动设置之一。计算每个设置的 MVPA 和 SB 的数量和比例。为了调查两个 SES 群体之间的差异，我们对数据的层次结构进行了多层次分析。结果：两个 SES 群体在自己的学校、街道和家里获得了最多 MVPA 分钟，并且在娱乐设施、街道和其他学校中获得了最高的 MVPA 比例。在家中和自己的学校中发现的 SB 数量和比例最高。高 SES 儿童在公园、体育设施、其他学校和街道的 MVPA 和 SB 中积累的时间明显更多，而低 SES 群体在其他地方的这两项活动中花费的时间更多。当考虑到在某个环境中花费的总时间并使用 MVPA 或 SB 的比例时，两组之间的唯一差异出现在其他学校和外部，其中高 SES 儿童表现出显着更高的活动水平（p 值）
Background: Neighbourhood socioeconomic status (SES) has been shown to be related to health status and overweight independent of individual SES. However, results about the association between neighbourhood SES and physical activity among children are ambiguous. Particularly, it is unknown how socioeconomic factors influence the spatial context of children's moderate-vigorous physical activity (MVPA) and sedentary behaviour (SB). This study aimed to investigate by means of Global Positioning System (GPS) and accelerometry whether locations where children engage in MVPA and SB differ by neighbourhood SES.Methods: Participants included 83 children aged 7-9 from nine public schools located in a low-and high-SES area in Zurich, Switzerland. Children wore an accelerometer and GPS sensor for seven consecutive days. Time-matched accelerometer and GPS data was mapped with a geographic information system and each data point assigned to one of eight activity settings. The amount and proportion of MVPA and SB were calculated for every setting. To investigate differences between the two SES groups, multilevel analyses accounting for the hierarchical structure of the data were conducted.Results: Both SES groups achieved most minutes in MVPA at own school, on streets and at home and recorded the highest proportions of MVPA in recreational facilities, streets and other schools. The highest amounts and proportions of SB were found at home and own school. High-SES children accumulated significantly more minutes in MVPA and SB in parks, sport facilities, other schools and streets, while the low-SES group spent more time in both activities in other places. When taking the total time spent in a setting into account and using the proportion of MVPA or SB, the only differences between the two groups were found at other schools and outside, where the high-SES children showed a significantly higher activity level (p-values