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利用谷歌街景对儿科样本中邻里致肥胖环境潜力进行基于桌面的审核验证:QUALITY 队列中的一项试点研究。

Validation of desk-based audits using Google Street View to monitor the obesogenic potential of neighbourhoods in a pediatric sample: a pilot study in the QUALITY cohort.

机构信息

Centre de Recherche du Centre Hospitalier Universitaire Sainte-Justine, 3175 Chemin de la Côte-Sainte-Catherine, Montreal, QC), H3T 1C5, Canada.

Faculty of Medicine, Université de Montréal, 2900 Boulevard Édouard-Montpetit, Montreal, QC), H3T 1J4, Canada.

出版信息

Int J Health Geogr. 2022 Mar 26;21(1):2. doi: 10.1186/s12942-022-00301-8.

Abstract

BACKGROUND

The suitability of geospatial services for auditing neighbourhood features relevant to pediatric obesity remains largely unexplored. Our objectives were to (i) establish the measurement properties of a desk-based audit instrument that uses Google Street View to assess street- and neighbourhood-level features relevant to pediatric obesity (QUALITY-NHOOD tool, the test method) and (ii) comment on its capacity to detect changes in the built environment over an 8-year period. In order to do so, we compared this tool with an on-site auditing instrument (the reference method).

METHODS

On-site audits of 55 street- and neighbourhood-level features were completed in 2008 in 512 neighbourhoods from the QUALITY cohort study. In 2015, both repeat on-site and desk-based audits were completed in a random sample of 30 of these neighbourhoods.

RESULTS

Agreement between both methods was excellent for almost all street segment items (range 91.9-99.7%), except for road type (81.0%), ads/commercial billboards (81.7%), road-sidewalk buffer zone (76.1%), and road-bicycle path buffer zone (53.3%). It was fair to poor for perceived quality, safety and aesthetics items (range 59.9-87.6%), as well as for general impression items (range 40.0-86.7%). The desk-based method over-detected commercial billboards and road-sidewalk buffer zone, and generally rated neighbourhoods as less safe, requiring more effort to get around, and having less aesthetic appeal. Change detected over the 8-year period was generally similar for both methods, except that the desk-based method appeared to amplify the increase in the number of segments with signs of social disorder.

CONCLUSIONS

The QUALITY-NHOOD tool is deemed adequate for evaluating and monitoring changes in pedestrian- and traffic-related features applicable to pediatric populations. Applications for monitoring the obesogenic nature of neighbourhoods appear warranted.

摘要

背景

地理空间服务在审核与儿童肥胖相关的邻里特征方面的适宜性在很大程度上仍未得到探索。我们的目标是:(i) 建立一种使用谷歌街景评估与儿童肥胖相关的街道和邻里特征的桌面审计工具的测量特性(QUALITY-NHOOD 工具,即测试方法);(ii) 评论其在 8 年内检测到建成环境变化的能力。为此,我们将该工具与现场审计工具(参考方法)进行了比较。

方法

在 QUALITY 队列研究中,2008 年对 512 个邻里的 55 个街道和邻里特征进行了现场审计。2015 年,在这些邻里中随机抽取 30 个进行了重复现场和桌面审计。

结果

对于几乎所有街道段项目,两种方法之间的一致性都非常好(范围为 91.9-99.7%),除了道路类型(81.0%)、广告/商业广告牌(81.7%)、路边缓冲带(76.1%)和路边自行车道缓冲带(53.3%)。对于感知质量、安全和美观项目,一致性为中等至较差(范围为 59.9-87.6%),以及对于总体印象项目,一致性为中等至较差(范围为 40.0-86.7%)。该桌面方法过度检测了商业广告牌和路边缓冲带,并且通常将社区评定为不太安全、更难通行、缺乏美感。两种方法在 8 年内检测到的变化基本相似,只是桌面方法似乎放大了存在社会混乱迹象的路段数量的增加。

结论

QUALITY-NHOOD 工具被认为适合评估和监测适用于儿科人群的行人和交通相关特征的变化。有理由应用该工具来监测社区的肥胖成因。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/156d/8961916/aab59e7675d2/12942_2022_301_Fig1_HTML.jpg

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