Evidence map›Paper›PMID 31237888›Full record

ArticlePloS one2019

Evaluating the relationship between binge drinking rates and a replicable measure of U.S. state alcohol policy environments.

Diana Silver, James Macinko, Margaret Giorgio, Jin Yung Bae

Abstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 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.

Diana SilverDepartment of Public Health Policy and Management, College of Global Public Health, New York University, NY, NY, United States of America.ORCID 0000-0002-8135-0306
James MacinkoDepartments of Health Policy and Management and Community Health Sciences, Fielding School of Public Health, University of California Los Angeles, Los Angeles, CA, United States of America.
Margaret GiorgioDepartment of Public Health Policy and Management, College of Global Public Health, New York University, NY, NY, United States of America.
Jin Yung BaeSteinhardt School of Culture, Education and Human Development, New York University, NY, NY, United States of America.

Funding

Understanding the diffusion and impact of state alcohol and traffic policiesR01AA021436 · NIAAA · NEW YORK UNIVERSITY · PI MACINKO, JAMES, SILVER, DIANA R · 2012 to 2014
$1.0M
Can systems science explain variation in state alcohol and traffic policies?R21AA021523 · NIAAA · NEW YORK UNIVERSITY · PI MACINKO, JAMES, PORFIRI, MAURIZIO · 2013 to 2014
$407k
NIAAA NIH HHS R01 AA021436NIAAA NIH HHS R21 AA021523
6 · The paper itself

Abstract

Excessive alcohol consumption contributes significantly to premature mortality, injuries and morbidity, and a range of U.S. state policies have been shown to reduce these behaviors. Monitoring state alcohol policy environments is essential, but methodologically challenging given that new laws may be passed (or repealed) each year, resulting in considerable variation across states. Existing measures have not been made public or have only a single year available. We develop a new replicable measure, the state alcohol policy score, for each state and year 2004-2009, that captures the essential features of a state's evidence-based alcohol policies. We evaluate its similarity to two existing alcohol policy measures and validate it by replicating findings from a previous study that used one of those measures to assess its relationship with several binge drinking outcomes. Estimates of the association between one-year lagged state alcohol policy scores and state binge drinking outcomes, obtained from the 2005-2010 Behavioral Risk Factor Surveillance System surveys (n = 440,951, 2010), were produced using Generalized Linear Models that controlled for state and individual-level co-variates, with fixed effects for year and region. We find a 10-percentage point increase in the state alcohol policy score was associated with a 9% lower odds of binge drinking (aOR = 0.91, 95% CI 0.89, 0.92; N = 1,992,086), a result consistent for men, women and for most age and race subgroups. We find that gender gaps in binge drinking behaviors narrowed in states with higher state alcohol policy scores. These results were nearly identical to those found in other studies using different scores obtained with the aid of expert opinions. We conclude that the score developed here is a valid measure that can be readily updated for monitoring and evaluating the variation and impact of state alcohol policies and make available our state scores for the years of the study.

Indexed as

Public PolicyAdolescentAdultAgedAged, 80 and overAlcohol DrinkingBehavioral Risk Factor Surveillance SystemBinge DrinkingFemaleHumansMaleMiddle AgedUnited StatesYoung Adult

Identifiers

PMID31237888
PMCPMC6592603

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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.