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“绿色度”能最佳预测身体健康的距离范围是多少?对全生命周期内采用地理信息系统缓冲区分析的文章进行的系统综述。

Within What Distance Does "Greenness" Best Predict Physical Health? A Systematic Review of Articles with GIS Buffer Analyses across the Lifespan.

作者信息

Browning Matthew, Lee Kangjae

机构信息

Department of Recreation, Sport and Tourism, University of Illinois at Urbana-Champaign, Champaign, IL 61820, USA.

Illinois Informatics Institute, University of Illinois at Urbana-Champaign, Champaign, IL 61802, USA.

出版信息

Int J Environ Res Public Health. 2017 Jun 23;14(7):675. doi: 10.3390/ijerph14070675.

Abstract

Is the amount of "greenness" within a 250-m, 500-m, 1000-m or a 2000-m buffer surrounding a person's home a good predictor of their physical health? The evidence is inconclusive. We reviewed Web of Science articles that used geographic information system buffer analyses to identify trends between physical health, greenness, and distance within which greenness is measured. Our inclusion criteria were: (1) use of buffers to estimate residential greenness; (2) statistical analyses that calculated significance of the greenness-physical health relationship; and (3) peer-reviewed articles published in English between 2007 and 2017. To capture multiple findings from a single article, we selected our unit of inquiry as the analysis, not the article. Our final sample included 260 analyses in 47 articles. All aspects of the review were in accordance with PRISMA guidelines. Analyses were independently judged as more, less, or least likely to be biased based on the inclusion of objective health measures and income/education controls. We found evidence that larger buffer sizes, up to 2000 m, better predicted physical health than smaller ones. We recommend that future analyses use nested rather than overlapping buffers to evaluate to what extent greenness immediately around a person's home (i.e., within 1000-2000 m) predicts physical health.

摘要

在一个人住所周围250米、500米、1000米或2000米缓冲区内的“绿化程度”能否很好地预测其身体健康状况?证据尚无定论。我们查阅了《科学引文索引》中使用地理信息系统缓冲区分析来确定身体健康、绿化程度以及测量绿化程度的距离之间趋势的文章。我们的纳入标准是:(1)使用缓冲区来估计居住绿化程度;(2)计算绿化程度与身体健康关系显著性的统计分析;(3)2007年至2017年期间发表的英文同行评审文章。为了从一篇文章中获取多个研究结果,我们选择分析作为研究单位,而非文章。我们的最终样本包括47篇文章中的260项分析。综述的各个方面均符合系统评价和Meta分析的首选报告项目(PRISMA)指南。根据是否纳入客观健康指标和收入/教育控制因素,分析被独立判定为更可能、较不可能或最不可能存在偏差。我们发现有证据表明,最大达2000米的较大缓冲区比较小缓冲区能更好地预测身体健康状况。我们建议未来的分析使用嵌套而非重叠的缓冲区,以评估一个人住所周围紧邻区域(即1000 - 2000米范围内)的绿化程度在多大程度上能预测身体健康状况。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ecb4/5551113/9562d01c5985/ijerph-14-00675-g001.jpg

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