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洛杉矶县各城市的酒精销售点密度与机动车碰撞事故

Alcohol outlet density and motor vehicle crashes in Los Angeles County cities.

作者信息

Scribner R A, MacKinnon D P, Dwyer J H

机构信息

Department of Preventive Medicine, School of Medicine, University of Southern California 91803-1358.

出版信息

J Stud Alcohol. 1994 Jul;55(4):447-53. doi: 10.15288/jsa.1994.55.447.

Abstract

The extent to which the availability of alcohol encourages alcohol consumption resulting in alcohol-related problems remains controversial. In order to address this issue we used 1990 data from 72 cities within Los Angeles County to estimate the relation between densities of four types of alcohol outlets (restaurants, bars, liquor stores, mini-markets) and rates of two types of alcohol-related motor vehicle crashes reported by police (injury, property damage). After logarithmic transformation of variables, crash rates were regressed on outlet densities and possible demographic confounders. The demographic covariates accounted for 25% of the variance in injury crashes; adding the combined outlet density to the model yielded a significant elasticity estimate (beta +/- SE) (beta = 0.55 +/- 0.13). Separate models for types of outlets yielded significant elasticities for restaurants (beta = 0.22 +/- 0.07), liquor stores (beta = 0.46 +/- 0.17) and mini-markets (beta = 0.34 +/- 0.13), but not for bars (beta = 0.08 +/- 0.07). Alcohol-related crashes resulting in property damage also showed positive associations with outlet densities, but these associations were smaller and reached statistical significance for restaurants (beta = 0.19 +/- 0.11) and bars (beta = 0.21 +/- 0.10). Direction of influence cannot be inferred from these cross-sectional findings, but they do indicate that increased alcohol availability is geographically associated with increased alcohol-related motor vehicle crashes and that this association is independent of measured confounders.

摘要

酒精的可获得性在多大程度上会促使酒精消费并导致与酒精相关的问题,这一点仍存在争议。为了解决这个问题,我们使用了洛杉矶县内72个城市的1990年数据,来估计四种类型的酒精销售点(餐厅、酒吧、酒类商店、小型超市)的密度与警方报告的两种与酒精相关的机动车事故发生率(受伤、财产损失)之间的关系。对变量进行对数变换后,将事故发生率对销售点密度和可能的人口统计学混杂因素进行回归分析。人口统计学协变量解释了受伤事故中25%的方差;将综合销售点密度添加到模型中得到了一个显著的弹性估计值(β±标准误)(β = 0.55±0.13)。针对不同类型销售点的单独模型显示,餐厅(β = 0.22±0.07)、酒类商店(β = 0.46±0.17)和小型超市(β = 0.34±0.13)的弹性显著,但酒吧(β = 0.08±0.07)不显著。导致财产损失的与酒精相关的事故也与销售点密度呈正相关,但这些相关性较小,仅在餐厅(β = 0.19±0.11)和酒吧(β = 0.21±0.10)中达到统计学显著水平。从这些横断面研究结果中无法推断出影响方向,但它们确实表明,酒精可获得性的增加在地理上与与酒精相关的机动车事故增加有关,而且这种关联独立于所测量的混杂因素。

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