Evidence map›Paper›PMID 38903697›Full record

ArticleTobacco prevention & cessation2024

Associations between vaping and daily cigarette consumption among individuals with psychological distress.

David Estey, Geoffrey F Wanye, Amanda Sharp, Rujuta Takalkar, Ana Progovac, Benjamin Lê Cook

Erratum issuedAbstract read
In one paragraph

Article in Tobacco prevention & cessation, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

David EsteyCambridge Health Alliance, Cambridge, Massachusetts, United States.
Geoffrey F WanyeCambridge Health Alliance, Cambridge, Massachusetts, United States.
Amanda SharpCambridge Health Alliance, Cambridge, Massachusetts, United States.
Rujuta TakalkarCambridge Health Alliance, Cambridge, Massachusetts, United States.
Ana ProgovacCambridge Health Alliance, Cambridge, Massachusetts, United States.
Benjamin Lê CookCambridge Health Alliance, Cambridge, Massachusetts, United States.

Funding

Impact of State Policies on Smoking among Individuals with Substance Use DisorderR01CA229355 · NCI · CAMBRIDGE HEALTH ALLIANCE · PI COOK, BENJAMIN LE · 2019 to 2022
$2.0M
AHRQ HHS R01 HS021486NCI NIH HHS R01 CA229355
6 · The paper itself

Abstract

introductionIndividuals with behavioral health conditions smoke at significantly higher rates and have been resistant to existing smoking cessation efforts. A clearer understanding of associations between vaping and daily cigarette consumption in this vulnerable population is warranted.

methodsWe analyzed data from the 2014-2018 National Health Interview Survey (NHIS) to examine whether vaping was associated with differences in number of cigarettes smoked per day (CPD) among adults who smoke daily and have varying levels of psychological distress.

resultsAfter adjustment for sociodemographic covariates, individuals who vaped every day smoked on average 1.48 fewer cigarettes per day than individuals who never vaped (p<0.01), while individuals who vaped some days and individuals who ever but no longer vaped smoked 0.77 and 1.48 more CPD, respectively, than individuals who never vaped. Differences between those who vaped every day and those who never vaped were even greater among those with moderate psychological distress (-2.21 CPD, p<0.01).

conclusionsOur findings suggest that use of vaping devices may be associated with lower daily cigarette use among individuals with psychological distress, potentially supporting smoking harm reduction efforts.

Indexed as

psychological distresssmokingtobacco-related disparitiesvaping

Identifiers

PMID38903697
PMCPMC11188481

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.