Evidence map›Paper›PMID 38695371›Full record

ArticleNicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco2024

Development and Psychometric Evaluation of a Novel Measure of Nicotine E-cigarette Withdrawal for Use With Adolescents and Young Adults.

Meghan E Morean, Lavanya Rajeshkumar, Suchitra Krishnan-Sarin

Open access · greenAbstract read
In one paragraph

Article in Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.7field-weighted citation impact, top 32% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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

3 authors at 2 institutions in 1 country.

Meghan E MoreanDepartment of Psychiatry, Yale School of Medicine, New Haven, CT, USA.ORCID 0000-0003-4865-1155
Lavanya RajeshkumarDepartment of Psychiatry, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
Suchitra Krishnan-SarinDepartment of Psychiatry, Yale School of Medicine, New Haven, CT, USA.
Yale University · USUniversity of Colorado Anschutz Medical Campus · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Yale Center for the Study of Tobacco Product Use and Addiction (YCSTP) Project 2: Addictive Threshold of Nicotine and the Impact of SweetenersU54DA036151 · NIDA · YALE UNIVERSITY · PI LISA M FUCITO · 2018 to 2026
$41.6M
American Heart Association 20YVNR35460041NCATS NIH HHS UL1 TR001863NIDA NIH HHS U54 DA036151NIDA NIH HHS U54DA036151NIH HHSU.S. Food and Drug Administration
6 · The paper itself

Abstract

introductionNicotine withdrawal is a well-established construct that prompts continued nicotine product use and contributes to failed cessation efforts. Despite ongoing public health concerns about nicotine e-cigarette use in adolescents and young adults (AYAs), no psychometrically sound measure of nicotine e-cigarette withdrawal exists for this population. AIMS AND

methodsA mixed methods approach comprising a literature review to identify existing nicotine withdrawal items; subject matter expert feedback on existing items and novel item generation; cognitive interviews assessing the measure's instructions, items, and response options; and a large quantitative validation survey (N = 997) was employed to develop the novel retrospective measure of nicotine e-cigarette withdrawal.

resultsA 25-item solution comprising four subscales-negative affect, negative physical symptoms, craving, and appetite/food-and an overall withdrawal score was supported. Internal reliability was excellent (mean alpha = 0.91), and scalar measurement invariance was reached for all subgroups tested (eg, sex, age, exclusive e-cigarette use vs. dual tobacco product use, and daily vs. non-daily nicotine vaping). Overall withdrawal and its subscales evidenced concurrent validity with time to first vape in the morning, e-cigarette dependence, and previous vaping cessation attempts, although not each subscale was associated with each outcome. Importantly, cross-sectional incremental validity analyses indicated that retrospective withdrawal accounted for variance in each outcome above and beyond e-cigarette dependence.

conclusionsThe novel retrospective AYA Nicotine E-cigarette Withdrawal Scale (AYA NEWS) evidenced strong psychometric properties for use in this population. Future research can determine whether the AYA NEWS can be used to assess acute e-cigarette nicotine withdrawal. IMPLICATIONS: While e-cigarette use remains the most prevalent form of nicotine product use among AYAs, there are limited options for psychometrically sound measures of e-cigarette-related constructs in this population. Withdrawal from nicotine is associated with failed cessation attempts and continued use of nicotine-containing products, making it a critical construct within tobacco-related research. This study outlines the development and preliminary psychometric evaluation of a novel, retrospective measure of nicotine e-cigarette withdrawal. Study findings support using the Adolescent and Young Adult Nicotine E-cigarette Withdrawal Scale (NEWS) to assess retrospective withdrawal from nicotine e-cigarettes in young people.

Indexed as

Electronic Nicotine Delivery SystemsPsychometricsSubstance Withdrawal SyndromeAdolescentAdultFemaleHumansMaleNicotineReproducibility of ResultsRetrospective StudiesSurveys and QuestionnairesTobacco Use DisorderVapingYoung AdultNicotine

Identifiers

PMID38695371
PMCPMC11581994
OpenAlexW4396582024

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.