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动态城市食品环境:健康食品获取的时间分析。

Dynamic urban food environments a temporal analysis of access to healthy foods.

机构信息

Department of Geography, University at Buffalo, New York, USA.

出版信息

Am J Prev Med. 2011 Oct;41(4):439-41. doi: 10.1016/j.amepre.2011.06.034.

Abstract

BACKGROUND

Low-income, urban populations' limited access to healthy foods is often pointed to as a key barrier to improving nutrition. Although much has been written on identifying urban "food deserts," little has been done to examine how the food environment changes over the course of 1 year.

PURPOSE

This study was designed to dynamically describe the urban food environment as a means to identify when at-risk neighborhoods are without access to healthy food.

METHODS

Demographic and road data of Buffalo NY from the 2000 U.S. Census, a 2010 listing of city supermarkets, and 2011 government records of the time and location of urban farmers' markets are mapped. Road network distances from block groups to supermarkets and farmers' markets are calculated. A computer simulation, written in 2011, examines the market closest to each block group for 52 weeks.

RESULTS

The average distance to markets with produce from block groups with poverty levels in the top 10th percentile is greater than that across all block groups during winter and spring months. However, during the farmers' market season, the same impoverished block groups are on average closer to markets when compared to all block groups.

CONCLUSIONS

Including the temporal dimension in an analysis of healthy food access generates a more complex picture of urban food-desert locations. The implications are that spatiotemporal factors should be used to inform appropriate interventions for creating an equitable food environment.

摘要

背景

城市中低收入人群获取健康食品的机会有限,这通常被认为是改善营养的一个关键障碍。尽管已经有很多关于识别城市“食物荒漠”的研究,但很少有人研究食品环境在 1 年内是如何变化的。

目的

本研究旨在动态描述城市食品环境,以确定哪些高风险社区无法获得健康食品。

方法

将布法罗纽约市的人口统计和道路数据与 2000 年美国人口普查、2010 年城市超市清单以及 2011 年城市农贸市场的时间和位置的政府记录进行映射。从街区组到超市和农贸市场的道路网络距离进行了计算。2011 年编写的计算机模拟程序检查了每个街区组最近的市场,持续 52 周。

结果

在冬季和春季,来自贫困水平在前 10%的街区组的有农产品的市场的平均距离大于所有街区组的平均距离。然而,在农贸市场季节,与所有街区组相比,同样贫困的街区组平均更接近市场。

结论

在分析健康食品获取情况时纳入时间维度会生成更复杂的城市食物荒漠位置图。这意味着时空因素应该被用来为创建公平的食品环境提供信息。

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