Evidence map›Paper›PMID 39618314›Full record

ArticleDrug and alcohol review2025

More pubs-More problems? A longitudinal analysis of Swedish panel data.

Thor Norström, Tony Nilsson, Johan Svensson

Abstract read
In one paragraph

Article in Drug and alcohol review, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Thor NorströmSwedish Institute for Social Research, Stockholm University, Stockholm, Sweden.ORCID 0000-0002-5746-7723
Tony NilssonSwedish Council for Information on Alcohol and Other Drugs, Stockholm, Sweden.ORCID 0009-0007-7247-1222
Johan SvenssonSwedish Council for Information on Alcohol and Other Drugs, Stockholm, Sweden.ORCID 0000-0002-1679-3506

Funding

Systembolaget's Research Council FO2020-0045
6 · The paper itself

Abstract

introductionThe aim of the study is to estimate the association between bar density and nighttime emergency calls to the police.

methodsWe 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.

resultsFindings 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. DISCUSSION AND

conclusionsWe 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).

Indexed as

Alcohol DrinkingPoliceRestaurantsCross-Sectional StudiesHumansLongitudinal StudiesMalePrevalenceSwedenBar densitydrinking patternsfixed‐effects modellingpolice‐callssocio‐economic areas

Identifiers

PMID39618314
PMCPMC11814364

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.