Evidence map›Paper›PMID 30235354›Full record

ArticlePloS one2018

Impact of cigarette taxes on smoking prevalence from 2001-2015: A report using the Behavioral and Risk Factor Surveillance Survey (BRFSS).

Michael S Sharbaugh, Andrew D Althouse, Floyd W Thoma, Joon S Lee, Vincent M Figueredo, Suresh R Mulukutla

Abstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 1 pooled it
–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

39 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

6 authors.

Michael S SharbaughUniversity of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, United States of America.
Andrew D AlthouseUniversity of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, United States of America.ORCID 0000-0002-8654-5014
Floyd W ThomaUniversity of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, United States of America.
Joon S LeeUniversity of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, United States of America.
Vincent M FigueredoEinstein Medical Center Philadelphia, Philadelphia, Pennsylvania, United States of America.
Suresh R MulukutlaUniversity of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo provide an up-to-date analysis on the relationship between excise taxes and the prevalence of cigarette smoking in the United States.

methodsLinear mixed-effects models were used to model the relationship between excise taxes and prevalence of cigarette smoking in each state from 2001 through 2015.

resultsFrom 2001 through 2015, increases in state-level excise taxes were associated with declines in prevalence of cigarette smoking. The effect was strongest in young adults (age 18-24) and weakest in low-income individuals (<$25,000).

conclusionsDespite the shrinking pool of current smokers, excise taxes remain a valuable tool in public-health efforts to reduce the prevalence of cigarette smoking. POLICY IMPLICATIONS: States with high smoking prevalence may find increased excise taxes an effective measure to reduce population smoking prevalence. Since the effect is greatest in young adults, benefits of increased tax would likely accumulate over time by preventing new smokers in the pivotal young-adult years.

Indexed as

Risk-TakingSurveys and QuestionnairesTaxesTobacco ProductsAdolescentAdultFemaleHumansMalePrevalenceRisk FactorsSmokingSmoking PreventionTobacco Use CessationYoung Adult

Identifiers

PMID30235354
PMCPMC6147505

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.