Evidence map›Paper›PMID 34358769›Full record

ArticleDrug and alcohol dependence2021

The role of electronic cigarette use for quitting or reducing combustible cigarette use in the 30s: Longitudinal changes and moderated relationships.

Rick Kosterman, Marina Epstein, Jennifer A Bailey, Madeline Furlong, J David Hawkins

Abstract read
In one paragraph

Article in Drug and alcohol dependence, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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

  1. Pooled it
  2. Article
  3. General and Specific Risk and Protective Factors for Cigarette and Electronic Nicotine Delivery System (ENDS) Use.Prevention science : the official journal of the Society for Prevention Research · 2024
    Article
  4. Review
  5. Article
  6. 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.

Rick KostermanSocial Development Research Group, School of Social Work, University of Washington, 9725 Third Ave NE, Suite 401, Seattle, WA, 98115, USA. Electronic address: rickk@uw.edu.
Marina EpsteinSocial Development Research Group, School of Social Work, University of Washington, 9725 Third Ave NE, Suite 401, Seattle, WA, 98115, USA. Electronic address: marinaep@uw.edu.
Jennifer A BaileySocial Development Research Group, School of Social Work, University of Washington, 9725 Third Ave NE, Suite 401, Seattle, WA, 98115, USA. Electronic address: jabailey@uw.edu.
Madeline FurlongSocial Development Research Group, School of Social Work, University of Washington, 9725 Third Ave NE, Suite 401, Seattle, WA, 98115, USA. Electronic address: mfurlong@uw.edu.
J David HawkinsSocial Development Research Group, School of Social Work, University of Washington, 9725 Third Ave NE, Suite 401, Seattle, WA, 98115, USA. Electronic address: jdh@uw.edu.

Funding

SUBSTANCE USE AND TRANSITIONS TO ADULT ROLESR01DA009679 · NIDA · UNIVERSITY OF WASHINGTON · PI HAWKINS, J DAVID · 1996 to 2008
$6.1M
Mechanisms Linking Social and Built Environments to Health in the 30sR01DA033956 · NIDA · UNIVERSITY OF WASHINGTON · PI KOSTERMAN, RICHARD · 2013 to 2017
$2.9M
Health and Functioning in New Midlife Adults: Understanding the Role of Alcohol Use, Social Environments, and Preventive Intervention over the Life CourseR01AG069024 · NIA · UNIVERSITY OF WASHINGTON · PI EPSTEIN, MARINA · 2021 to 2025
$2.5M
Risk and Protective Factors for E-cigarettes Among Adolescents, Young-Adults, and Adults and Across Two GenerationsR37CA225690 · NCI · UNIVERSITY OF WASHINGTON · PI EPSTEIN, MARINA · 2018 to 2022
$1.7M
NCI NIH HHS R37 CA225690NIA NIH HHS R01 AG069024NIDA NIH HHS R01 DA009679NIDA NIH HHS R01 DA033956
6 · The paper itself

Abstract

backgroundEvidence for use of electronic cigarettes (e-cigs) as a potential aid in quitting or reducing combustible cigarette (c-cig) use is mixed. This study examined the extent to which e-cig initiation among smokers in their 30 s predicted quitting or reducing smoking or nicotine dependence symptoms by age 39, and whether the role of e-cigs in quitting differed by prospectively assessed moderators.

methodsData were from the Seattle Social Development Project (SSDP), a panel study of 808 diverse participants with high retention. A subsample of 221 smokers at age 33 was selected for analysis. Self-reports of c-cig use and dependence were assessed longitudinally at ages 33 and 39. Sixteen potential moderators were examined, including social demographics, smoking attitudes and desire to quit, other health behaviors and status, and adolescent and early adult assessments of smoking history.

resultsThe use of e-cigs was consistently associated with a lower likelihood of quitting c-cigs by age 39, after accounting for frequency of prior c-cig use at age 33. This negative association persisted across all moderators examined, although it was nonsignificant among those with a definite desire to cut down. Among those who did not quit smoking, e-cig use had no association with decreases in either quantity of c-cigs used or dependence symptoms.

conclusionsResults indicate that e-cigarette use was not helpful for quitting or reducing combustible cigarette use in the 30 s. Rather, across extensive tests of moderation, e-cig initiation consistently predicted less quitting during this important age period for successful cessation.

Indexed as

Electronic Nicotine Delivery SystemsSmoking CessationTobacco ProductsTobacco Use DisorderVapingAdolescentAdultHumansAdulthoodElectronic cigarettesLongitudinal researchModeratorsSmokingSmoking cessation

Identifiers

PMID34358769
PMCPMC8464509

What OpenQuestion holds

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Read underepoch 390

Registered trials

None linked

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.