Evidence map›Paper›PMID 39025003›Full record

ArticleAddictive behaviors2024

An adaptation and exploratory factor analysis of the smoking-related weight and eating episodes test (SWEET) for electronic cigarette users.

Caitlin E Smith, Tyler B Mason, Naim Wright, Emily Ruttledge, Jordan E Norris, John R Monterosso, Alayna P Tackett

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Addictive behaviors, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Caitlin E SmithDepartment of Psychiatry, Yale School of Medicine, New Haven, CT, USA. Electronic address: caitlin.smith@yale.edu.
Tyler B MasonDepartment of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, USA.
Naim WrightDuke University, Durham, NC, USA.
Emily RuttledgeDepartment of Preventive Medicine, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, USA.
Jordan E NorrisDepartment of Psychology, University of Oklahoma, Norman, OK, USA.
John R MonterossoDepartment of Psychology, University of Southern California, Los Angeles, CA, USA.
Alayna P TackettDepartment of Internal Medicine, Center for Tobacco Research, The Ohio State University, Columbus, OH, USA.

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
Respiratory effects of E-Cigarette use among Youth: A prospective, longitudinal investigationK01HL148907 · NHLBI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI TACKETT, ALAYNA PAULINE · 2019 to 2023
$981k
NCATS NIH HHS UL1 TR001863NHLBI NIH HHS K01 HL148907
6 · The paper itself

Abstract

introductionSmoking for weight control is a well-documented behavior. There is emerging evidence to suggest electronic cigarettes (e-cigarettes) may be used for similar motivations yet measure development for the use of e-cigarettes for weight control has received less attention. The objective of the current study was to adapt and explore the psychometric properties of The Smoking-Related Weight and Eating Episodes Test (SWEET) for e-cigarette users.

methodsYoung adult (N=1875) current cigarette, e-cigarette, and dual users completed the original SWEET (SWEET-C) and/or adapted SWEET for e-cigarette use (SWEET-EC) based on current tobacco product use. Demographics, associated e-cigarette characteristics, nicotine dependence, outcome expectancies, and eating disorder behaviors were also assessed. Participants were recruited online and measures were completed via self-report.

resultsFour exploratory factor analyses using principal components extraction and direct oblimin rotation methods were run to explore the SWEET-C and SWEET-EC. A one-factor solution explaining 66 % of the variance was retained for the SWEET-C, and a one-factor solution explaining 73 % of the variance was retained for the SWEET-EC. Both measures exhibited excellent internal consistency. Higher SWEET-EC scores were observed among dual users, and were associated with daily e-cigarette use, JUUL use, self-reported vaping for weight control, older age, higher body mass index, and problematic eating behaviors.

conclusionOur findings support the adaptation of the SWEET-EC to measure e-cigarette use for weight control. The SWEET-EC will help to better understand how individuals use e-cigarettes to curb eating behavior and for weight control.

Indexed as

Electronic Nicotine Delivery SystemsPsychometricsVapingAdolescentAdultFactor Analysis, StatisticalFeeding and Eating DisordersFeeding BehaviorFemaleHumansMaleTobacco Use DisorderYoung AdultCigarette useE-cigarette useScale developmentTobacco use for eating/weight controlYoung adults

Identifiers

PMID39025003
PMCPMC11332417

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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.