Evidence map›Paper›PMID 25257814›Full record

ArticleAlcoholism, clinical and experimental research2014

Effects of state cigarette excise taxes and smoke-free air policies on state per capita alcohol consumption in the United States, 1980 to 2009.

Melissa J Krauss, Patricia A Cavazos-Rehg, Andrew D Plunk, Laura J Bierut, Richard A Grucza

Abstract read
In one paragraph

Article in Alcoholism, clinical and experimental research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. The Impact of Cigarette Excise Tax Increases on Regular Drinking Behavior: Evidence from China.International journal of environmental research and public health · 2020
    Article
  6. Article
  7. Article
  8. Article
  9. Smoke-Free Laws and Hazardous Drinking: A Cross-Sectional Study among U.S. Adults.International journal of environmental research and public health · 2017
    Article
  10. Review
  11. Article
  12. 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

5 authors.

Melissa J KraussDepartment of Psychiatry, Washington University School of Medicine, St. Louis, Missouri.
Patricia A Cavazos-Rehg
Andrew D Plunk
Laura J Bierut
Richard A Grucza

Funding

The Collaborative Genetic Study of Nicotine DependenceP01CA089392 · NCI · WASHINGTON UNIVERSITY · PI BIERUT, LAURA J. · 2001 to 2012
$17.3M
ALCOHOL DEPENDENCE IN AFRICAN AMERICANS: A CASE-CONTROL GENETIC STUDYR01AA017444 · NIAAA · WASHINGTON UNIVERSITY · PI GRUCZA, RICHARD A · 2009 to 2013
$3.3M
T32 Training Grant in Epidemiology, Services and Prevention ResearchT32DA007313 · NIDA · WASHINGTON UNIVERSITY · PI PRICE, RUMI KATO · 1999 to 2013
$2.9M
BUILDING ON BRIDGING THE GAP: ENVIRONMENTAL INFLUENCES ON TEEN SUBSTANCE USER01DA032843 · NIDA · WASHINGTON UNIVERSITY · PI CAVAZOS-REHG, PATRICIA A · 2012 to 2015
$1.5M
POLICY AS ENVIRONMENT : LONG-TERM EFFECTS OF LAWS RESTRICTING YOUTH SUBSTANCE USER01DA031288 · NIDA · WASHINGTON UNIVERSITY · PI GRUCZA, RICHARD A · 2012 to 2015
$1.1M
Substance Use Histories and Risky Sexual Behaviors Among Young PersonsK01DA025733 · NIDA · WASHINGTON UNIVERSITY · PI CAVAZOS-REHG, PATRICIA A · 2009 to 2012
$602k
NCI NIH HHS P01 CA089392NCI NIH HHS P01 CA89392NIAAA NIH HHS R01 AA017444NIDA NIH HHS K01 DA025733NIDA NIH HHS K01DA025733NIDA NIH HHS R01 DA031288NIDA NIH HHS R01DA031288NIDA NIH HHS R01 DA032843NIDA NIH HHS R01DA032843NIDA NIH HHS T32 DA007313NIDA NIH HHS T32DA07313
6 · The paper itself

Abstract

backgroundIncreasing state cigarette excise taxes and strengthening smoke-free air (SFA) laws are known to reduce smoking prevalence. Some studies suggest that such policies may also reduce alcohol use, but results for cigarette taxes have been mixed, and associations with smoke-free air policies have been limited to some demographic subgroups. To shed further light on the potential secondary effects of tobacco control policy, we examined whether increases in cigarette taxes and strengthening of SFA laws were associated with reductions of per capita alcohol consumption and whether any reductions were specific to certain beverage types.

methodsState per capita alcohol consumption from 1980 to 2009 was modeled as a function of state price per pack of cigarettes and SFA policy scores while controlling for secular trends and salient state covariates. Both policy measures also accounted for local policies. Total alcohol, beer, wine, and spirits consumption per capita were modeled separately. For each type of beverage, we used a nested models approach to determine whether the 2 policies together were associated with reduced consumption.

resultsFor total alcohol consumption, and for beer or spirits (but not wine), one or both tobacco policies were associated with reductions in consumption. A 1% increase in cigarette price per pack was associated with a 0.083% decrease in per capita total alcohol consumption (95% confidence interval [CI] 0.0002 to 0.166, p = 0.0495), and a 1-point increase in SFA policy score, measured on a 6-point scale, was associated with a 1.1% decrease in per capita total alcohol consumption (95% CI 0.4 to 1.7, p = 0.001; p < 0.001 for the hypothesis that the 2 policies are jointly associated with reduced alcohol consumption).

conclusionsThe public health benefits of increasing cigarette taxes and smoke-free policies may go beyond the reduction of smoking and extend to alcohol consumption, specifically beer and spirits.

Indexed as

Smoke-Free PolicyAdolescentAdultAgedAged, 80 and overAlcohol DrinkingBeerHumansMiddle AgedPublic HealthRetrospective StudiesTaxesTobacco ProductsUnited StatesWineYoung AdultAlcohol ConsumptionAlcohol SalesCigarette PriceSmoke-Free Air Policy

Identifiers

PMID25257814
PMCPMC4211946

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.