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芝加哥的驱逐与儿科健康结果。

Eviction and Pediatric Health Outcomes in Chicago.

机构信息

Ann & Robert H. Lurie Children's Hospital of Chicago, Healthy Communities, Chicago, IL, USA.

University of Illinois College of Medicine Rockford, Rockford, IL, USA.

出版信息

J Community Health. 2020 Oct;45(5):891-899. doi: 10.1007/s10900-020-00806-y.

Abstract

According to Eviction Lab there were 6877 evictions in Chicago in 2016. The rate was "1.1%" and came out to 18.79 evictions per day in Chicago in 2016. The presence of children in a household (HH) poses a greater risk for eviction than race or gender. Census tract-level data from the Chicago Department of Public Health, the Eviction Lab and American Community Survey was used to assess the relationship between eviction and pediatric health outcomes for 653 census tracts in Chicago. Correlation matrices and linear regression models were used to evaluate the relationship between eviction and health outcomes. Regression models were adjusted for the following: (1) female-led family HH with less than a high school degree and below poverty and (2) race/ethnicity. Compared to White Non-Hispanic HH, predominantly Black and Hispanic HH had higher rates of very low birth weight (VLBW), infant mortality (IM), eviction filings, and evictions. All covariates were found to be significantly correlated (p < 0.01). Eviction filing rates and eviction rates were significant predictors for both VLBW and IM in both unadjusted and adjusted models (p < 0.05). Though we cannot conclude causality, these results suggest that census tracts which experience high rates of eviction also experience high rates of VLBW and IM and this relationship should be further investigated.

摘要

根据驱逐实验室的数据,2016 年芝加哥有 6877 起驱逐事件。这一比例为“1.1%”,相当于 2016 年芝加哥每天有 18.79 起驱逐事件。与种族或性别相比,家庭中有儿童(HH)会增加被驱逐的风险。芝加哥公共卫生部、驱逐实验室和美国社区调查的人口普查地段数据被用于评估 653 个人口普查地段的驱逐与儿科健康结果之间的关系。相关矩阵和线性回归模型用于评估驱逐与健康结果之间的关系。回归模型调整了以下因素:(1)女性主导的家庭 HH,其家庭成员没有高中以上学历且处于贫困线以下;(2)种族/族裔。与白人非西班牙裔 HH 相比,以黑人和西班牙裔为主的 HH 的极低出生体重(VLBW)、婴儿死亡率(IM)、驱逐申请和驱逐率都更高。所有协变量都被发现具有显著相关性(p<0.01)。在未调整和调整后的模型中,驱逐申请率和驱逐率都是 VLBW 和 IM 的显著预测因素(p<0.05)。尽管我们不能得出因果关系的结论,但这些结果表明,驱逐率较高的人口普查地段也会经历较高的 VLBW 和 IM 发生率,因此应该进一步调查这种关系。

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