Li Dongying, Newman Galen D, Wilson Bev, Zhang Yue, Brown Robert D
Department of Landscape Architecture and Urban Planning, Texas A&M University, College Station, TX 77843, USA.
Urban and Environmental Planning, School of Architecture, University of Virginia, USA.
Environ Plan B Urban Anal City Sci. 2022 Mar;49(3):933-952. doi: 10.1177/23998083211039854. Epub 2021 Aug 23.
Place-based structural inequalities can have critical implications for the health of vulnerable populations. Historical urban policies, such as redlining, have contributed to current inequalities in exposure to intra-urban heat. However, it is unknown whether these spatial inequalities are associated with disparities in heat-related health outcomes. The aim of this study is to determine the relationships between historical redlining, intra-urban heat conditions, and heat-related emergency department visits using data from eleven Texas cities. At the zip code level, the proportion of historical redlining was determined, and heat exposure was measured using daytime and nighttime land surface temperature (LST). Heat-related inpatient and outpatient rates were calculated based on emergency department visit data that included ten categories of heat-related diseases between 2016 and 2019. Regression or spatial error/lag models revealed significant associations between higher proportions of redlined areas in the neighborhood and higher LST (Coef. = 0.0122, 95% CI = 0.0039 - 0.0205). After adjusting for indicators of social vulnerability, neighborhoods with higher proportions of redlining showed significantly elevated heat-related outpatient visit rate (Coef. = 0.0036, 95% CI = 0.0007-0.0066) and inpatient admission rate (Coef. = 0.0018, 95% CI = 0.0001-0.0035). These results highlight the role of historical discriminatory policies on the disparities of heat-related illness and suggest a need for equity-based urban heat planning and management strategies.
基于地点的结构性不平等可能对弱势群体的健康产生重大影响。诸如红线划定等历史城市政策导致了当前城市内部受热不均的不平等现象。然而,这些空间不平等是否与热相关健康结果的差异相关尚不清楚。本研究的目的是利用来自德克萨斯州11个城市的数据,确定历史红线划定、城市内部热状况与热相关急诊就诊之间的关系。在邮政编码层面,确定历史红线划定的比例,并使用白天和夜间陆地表面温度(LST)来测量热暴露。根据2016年至2019年期间包括10类热相关疾病的急诊就诊数据,计算热相关住院和门诊率。回归或空间误差/滞后模型显示,社区中红线划定区域比例较高与较高的陆地表面温度之间存在显著关联(系数 = 0.0122,95%置信区间 = 0.0039 - 0.0205)。在调整了社会脆弱性指标后,红线划定比例较高的社区显示热相关门诊就诊率(系数 = 0.0036,95%置信区间 = 0.0007 - 0.0066)和住院率(系数 = 0.0018,95%置信区间 = 0.0001 - 0.0035)显著升高。这些结果突出了历史歧视性政策在热相关疾病差异方面的作用,并表明需要基于公平的城市热规划和管理策略。