Norström Thor, Nilsson Tony, Svensson Johan
Swedish Institute for Social Research, Stockholm University, Stockholm, Sweden.
Swedish Council for Information on Alcohol and Other Drugs, Stockholm, Sweden.
Drug Alcohol Rev. 2025 Feb;44(2):471-479. doi: 10.1111/dar.13981. Epub 2024 Dec 2.
The aim of the study is to estimate the association between bar density and nighttime emergency calls to the police.
We used a pooled cross-sectional time-series data set covering the Swedish 290 municipalities spanning the time period 2012-2021. As outcome we used nighttime emergency calls to the police and daytime emergency calls to the police as control variable. Bar density was measured as number of serving establishments licensed to serve alcohol after 1 am. The municipalities were classified into three socio-economic (SES) categories: low, middle and high-SES areas. We used survey data to estimate the prevalence of heavy episodic drinking (HED) for each of the three SES areas. We applied fixed-effects modelling to estimate the association between bar density and nighttime police calls, implying that only within-unit variation was exploited.
Findings suggested that a 10% increase in bar density would result in a 0.46% (p = 0.001) increase in nighttime police calls. There was a marked gradient in the bar effect across SES areas; in high-SES areas the effect was not significant, while the effect was twice as strong in the low-SES areas as in mid-SES areas. We also found that the lower the status of the SES area, the higher the prevalence of HED.
We found a significantly positive association between bar density and nighttime police calls. However, the association was markedly stronger in low-SES areas (which were also characterised by an elevated HED prevalence) than in high-SES areas (distinguished by a lower HED prevalence).
本研究的目的是估计酒吧密度与夜间警方紧急呼叫之间的关联。
我们使用了一个汇总的横断面时间序列数据集,涵盖2012年至2021年期间瑞典的290个市政当局。作为结果变量,我们使用夜间警方紧急呼叫,并将白天警方紧急呼叫作为控制变量。酒吧密度以凌晨1点后获得酒类销售许可的营业场所数量来衡量。市政当局被分为三个社会经济(SES)类别:低、中、高SES地区。我们使用调查数据来估计三个SES地区中每个地区的重度暴饮(HED)患病率。我们应用固定效应模型来估计酒吧密度与夜间警方呼叫之间的关联,这意味着仅利用单位内部的变化。
研究结果表明,酒吧密度增加10%将导致夜间警方呼叫增加0.46%(p = 0.001)。SES地区之间的酒吧效应存在明显梯度;在高SES地区,这种效应不显著,而在低SES地区,这种效应是中等SES地区的两倍。我们还发现,SES地区的地位越低,HED的患病率越高。
我们发现酒吧密度与夜间警方呼叫之间存在显著的正相关。然而,这种关联在低SES地区(其特征也是HED患病率较高)明显强于高SES地区(其特征是HED患病率较低)。