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与底特律狗咬人事件相关的人口统计学和城市环境变量。

Demographic and urban environmental variables associated with dog bites in Detroit.

作者信息

Reese Laura A, Vertalka Joshua J, Wilkins Melinda J, Pizarro Jesenia M

出版信息

J Am Vet Med Assoc. 2019 Apr 15;254(8):986-990. doi: 10.2460/javma.254.8.986.

Abstract

OBJECTIVE

To identify demographic and urban environmental variables associated with prevalence rates of dog bites per zip code in Detroit.

DESIGN

Retrospective ecological study.

SAMPLE

6,540 people who visited any 1 of 15 hospital emergency rooms in the 29 zip codes in Detroit between January 1, 2006, and December 31, 2013, with a primary complaint of dog bite.

PROCEDURES

The number of dog bites over the study period was determined per zip code. Data for the human population in each zip code in 2011 and demographic and urban environmental variables were obtained from federal, state, and municipal databases. The prevalence rate of dog bites in each zip code was calculated, and regression analysis was used to identify variables associated with this outcome.

RESULTS

Results of multivariate analysis indicated that demographic variables (eg, gender, age, and education) accounted for 23.2% (adjusted R = 0.232) of the variation in prevalence rates of dog bites per zip code, whereas urban environmental variables (eg, blight, crime with weapons, and vacancy rate) accounted for 51.6% (adjusted R = 0.516) of the variation.

CONCLUSIONS AND CLINICAL RELEVANCE

Findings suggested that demographic variables had poor association with variation in prevalence rates of dog bites per zip code, whereas urban environmental variables, particularly crime, vacancy rate, and blight, were better associated. Thus, public health and education policies need to address these urban environmental issues to lower the prevalence of dog bites in distressed urban areas.

摘要

目的

确定与底特律各邮政编码区域内犬咬伤患病率相关的人口统计学和城市环境变量。

设计

回顾性生态学研究。

样本

2006年1月1日至2013年12月31日期间,底特律29个邮政编码区域内15家医院急诊室中任何一家就诊的6540人,其主要诉求为犬咬伤。

程序

确定研究期间每个邮政编码区域内的犬咬伤数量。2011年每个邮政编码区域内的人口数据以及人口统计学和城市环境变量数据来自联邦、州和市数据库。计算每个邮政编码区域内犬咬伤的患病率,并使用回归分析确定与该结果相关的变量。

结果

多变量分析结果表明,人口统计学变量(如性别、年龄和教育程度)占每个邮政编码区域内犬咬伤患病率变化的23.2%(调整后R = 0.232),而城市环境变量(如破败、持械犯罪和空置率)占变化的51.6%(调整后R = 0.516)。

结论及临床意义

研究结果表明,人口统计学变量与每个邮政编码区域内犬咬伤患病率的变化关联较弱,而城市环境变量,尤其是犯罪、空置率和破败状况,关联更强。因此,公共卫生和教育政策需要解决这些城市环境问题,以降低贫困城市地区犬咬伤的患病率。

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