Evidence map›Paper›PMID 30266001›Full record

ArticleDrug and alcohol dependence2018

A multi-level analysis of emergency department data on drinking patterns, alcohol policy and cause of injury in 28 countries.

Cheryl J Cherpitel, Jane Witbrodt, Yu Ye, Rachael Korcha

Abstract read
In one paragraph

Article in Drug and alcohol dependence, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
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  5. Do socioeconomic status, race and ethnicity modify the relationship between alcohol use and unintentional injury mortality?Injury prevention : journal of the International Society for Child and Adolescent Injury Prevention · 2025
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  10. Review
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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

4 authors.

Cheryl J CherpitelAlcohol Research Group, 6001 Shellmound St. Suite 450, Emeryville, CA 94608, USA. Electronic address: ccherpitel@arg.org.
Jane WitbrodtAlcohol Research Group, 6001 Shellmound St. Suite 450, Emeryville, CA 94608, USA.
Yu YeAlcohol Research Group, 6001 Shellmound St. Suite 450, Emeryville, CA 94608, USA.
Rachael KorchaAlcohol Research Group, 6001 Shellmound St. Suite 450, Emeryville, CA 94608, USA.

Funding

Cross-National Analysis of Alcohol & InjuryR01AA013750 · NIAAA · PUBLIC HEALTH INSTITUTE · PI CHERPITEL, CHERYL J · 2002 to 2018
$4.4M
NIAAA NIH HHS R01 AA013750
6 · The paper itself

Abstract

backgroundWhile individual-level drinking pattern is an important risk factor for alcohol-related injury, societal-level pattern and alcohol policy are also important, and no research exists on the relationship of these variables with specific causes of injury.

methodsA probability sample of 14,142 emergency department (ED) patients from 32 ED studies in 28 countries included in the International Collaborative Alcohol and Injury Study (ICAIS) is analyzed using multilevel modeling of individual-level volume and pattern of drinking, country-level detrimental drinking pattern (DDP), and alcohol policy using the International Alcohol Policy and Injury Index (IAPII) on self-reported drinking prior to the injury event, categorized as traffic, violence, fall or other cause. The IAPII includes four domains: availability, vehicular, advertising, and drinking context.

resultsFrequent heavy drinking was a strong predictor (p < .0.001) of injuries related to violence (OR = 2.57), falls (OR = 2.86), and other causes (OR = 1.71), while episodic heavy drinking was a significant predictor of injuries related to violence and falls. DDP was a significant predictor (p < 0.05) of traffic (OR = 1.54) and violence-related injuries (OR = 1.38) but lost significance when the IAPII was included. The IAPII was a significant predictor only for traffic injury (OR = 0.97, p < 0.001), and each domain with the exception of context were also significant.

conclusionsFindings here clearly point to the importance of targeted policies for specific causes of injury as well as the importance of individual and societal drinking patterns, the latter of which may be difficult to influence by preventive measures aimed to reduce alcohol-related injury.

Indexed as

Data Interpretation, StatisticalHealth PolicyInternationalityAdolescentAdultAlcohol DrinkingEmergency Service, HospitalFemaleHumansMaleMiddle AgedRisk FactorsSampling StudiesSelf ReportViolenceWounds and InjuriesAlcohol policyAlcohol-related injury causeDrinking patterns

Identifiers

PMID30266001
PMCPMC6200595

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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.