Evidence map›Paper›PMID 30590749›Full record

ArticleNicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco2020

Cold Turkey and Hot Vapes? A National Study of Young Adult Cigarette Cessation Strategies.

Shannon Lea Watkins, Johannes Thrul, Wendy Max, Pamela M Ling

Open access · bronzeAbstract read
In one paragraph

Article in Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 2 pooled it
1.9field-weighted citation impact, top 14% of its field
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

27 citing papers in PubMed, 2 syntheses or guidelines pooled it, 39 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Connectedness Based on Shared Engagement Predicts Remote Biochemically Verified Quit Status Within Smoking Cessation Treatment Groups on Facebook.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2021
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  15. Factors Associated With Abstinence Among Young Adult Smokers Enrolled in a Real-world Social Media Smoking Cessation Program.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2024
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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 at 2 institutions in 1 country.

Shannon Lea WatkinsCenter for Tobacco Control Research and Education, University of California-San Francisco, San Francisco, CA.
Johannes ThrulDepartment of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.
Wendy MaxInstitute for Health and Aging, University of California-San Francisco, San Francisco, CA.
Pamela M LingCenter for Tobacco Control Research and Education and Division of General Internal Medicine, Department of Medicine, University of California-San Francisco, San Francisco, CA.
University of California, San Francisco · USJohns Hopkins University · US

Funding

Postdoctoral training in tobacco controlT32CA113710 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI LING, PAMELA MAY · 2016 to 2020
$2.6M
NCI NIH HHS T32 CA113710
6 · The paper itself

Abstract

introductionYoung adults have high smoking rates and low utilization of evidence-based smoking cessation strategies. We investigated smoking cessation intentions, strategy use, and socioeconomic predictors of strategy use among young adult smokers (age 18-24) and compared patterns with those of older adults (age 25-64).

methodsWe used a population-based sample from the Population Assessment of Tobacco and Health (PATH) study of young adult (n = 1,881) and older adult (n = 6,366) established smokers of conventional cigarettes at Wave 1 (2013-2014), who were surveyed at Wave 2 (2014-2015). Simple regression analysis compared intentions to quit between age groups. Among Wave 1 smokers who reported a Wave 2 quit attempt (young adults [YA] n = 748; older adults [OA] n = 2,068), bivariate and multinomial logistic regression estimated differences in use of behavioral support, pharmacotherapy, product substitution, and unassisted quit attempts. Interaction terms estimated age-group differences in relationships between predictors and cessation strategy use.

resultsYoung adults planned to quit on a longer time frame, expressed lower interest in quitting, and were more confident they would be successful, compared with older adults. Young adults were significantly less likely to use pharmacotherapy (adjusted odds ratio: 0.15; confidence interval: 0.09, 0.24; reference: quitting unassisted). Both groups reported using product substitution (YA: 31.6%; OA: 28.5%), primarily with e-cigarettes, more than any evidence-based cessation strategy. Socioeconomic predictors of cessation strategy use did not differ between age groups.

conclusionsMore research on why young adult smokers underutilize evidence-based cessation support is needed, as are innovative efforts to increase intentions to quit and utilization of cessation assistance. IMPLICATIONS: Young adulthood is a key transition time for tobacco use, and early cessation substantially reduces the risk of morbidity and mortality from smoking. In the context of high e-cigarette and polytobacco use, this study finds young adults have significantly less intention to quit than older adults and are less likely to use evidence-based cessation strategies to help quit. Innovative methods are needed to increase young adult intentions to quit and use of evidence-based cessation assistance.

Indexed as

Health BehaviorAdolescentAdultElectronic Nicotine Delivery SystemsFemaleHumansIntentionMaleMiddle AgedSan FranciscoSmokersSmokingSmoking CessationSmoking PreventionSurveys and QuestionnairesVaping

Identifiers

PMID30590749
PMCPMC7171265
OpenAlexW2905907062

What OpenQuestion holds

Textmetadata
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.