Evidence map›Paper›PMID 32048602›Full record

ArticleJournal of studies on alcohol and drugs2020

Alcohol Policies in U.S. States, 1999-2018.

Jason G Blanchette, Marlene C Lira, Timothy C Heeren, Timothy S Naimi

Abstract read
In one paragraph

Article in Journal of studies on alcohol and drugs, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

29 citing papers in PubMed.

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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.

Jason G BlanchetteDepartment of Health Law, Policy & Management, Boston University School of Public Health, Boston, Massachusetts.
Marlene C LiraClinical Addiction Research and Education (CARE) Unit, Section of General Internal Medicine, Department of Medicine, Boston Medical Center, Boston, Massachusetts.
Timothy C HeerenDepartment of Biostatistics, Boston University School of Public Health, Boston, Massachusetts.
Timothy S NaimiClinical Addiction Research and Education (CARE) Unit, Section of General Internal Medicine, Department of Medicine, Boston Medical Center, Boston, Massachusetts.

Funding

Impact of Marijuana Policies on Alcohol Use and Alcohol-Related MortalityR01AA026268 · NIAAA · BOSTON MEDICAL CENTER · PI NAIMI, TIMOTHY SIMONDS · 2018 to 2021
$2.5M
Youth Drinking: The Effects of Alcohol Control Policies and Adult Drinking PatteR01AA018377 · NIAAA · BOSTON UNIVERSITY MEDICAL CAMPUS · PI NAIMI, TIMOTHY SIMONDS · 2009 to 2012
$2.0M
The Alcohol Policy Environment and Leading Causes of Alcohol Related MortalityR01AA023376 · NIAAA · BOSTON MEDICAL CENTER · PI NAIMI, TIMOTHY SIMONDS, XUAN, ZIMING · 2014 to 2016
$1.2M
NIAAA NIH HHS R01 AA018377NIAAA NIH HHS R01 AA023376NIAAA NIH HHS R01 AA026268
6 · The paper itself

Abstract

objectiveU.S. policymakers and public health practitioners lack composite indicators (indices) to assess and compare the restrictiveness of state-level alcohol policy environments, conceptualized as the presence of multiple policies in effect in a particular place and time. The purposes of this study were to characterize the alcohol policy environment in each U.S. state and Washington, DC, in 2018, and to examine changes during the past 20 years.

methodState-specific Alcohol Policy Scale (APS) scores from 1999 to 2018 were based on 29 policies, after weighting each present policy by its efficacy and degree of implementation. Modified APS scores were also calculated on the basis of two sets of mutually exclusive policy subgroups.

resultsAPS scores in 2018 varied considerably between states, ranging from 25.6 to 67.9 on a theoretical scale of 0 to 100; the median score was 43.5 (based on a 0-100 range), and 43 states had scores less than 50. The median change in state APS scores from 1999 to 2018 was positive (+4.9, range: -7.4 to +10.3), indicating increases in the restrictiveness of policy environments, with decreases in only five states. The increases in APS scores were primarily attributable to the implementation of stronger impaired-driving laws, whereas policies to reduce excessive drinking were unchanged. There was no correlation between states' excessive drinking policy scores and their impaired-driving scores (r = .05, p = .74).

conclusionsBased on this policy scale, few states have restrictive policy environments. Although states adopted policies targeting impaired driving during the study period, there was no change in policies to reduce excessive drinking.

Indexed as

Alcohol DrinkingAutomobile DrivingDistrict of ColumbiaHumansPublic PolicyUnited States

Identifiers

PMID32048602
PMCPMC7024811

What OpenQuestion holds

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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.