Evidence map›Paper›PMID 37028105›Full record

ArticleDrug and alcohol dependence2023

Measuring vaping-related expectancies in young adults: Psychometric evaluation of the Electronic Nicotine Vaping Outcomes (ENVO) scale.

Paul T Harrell, Thomas H Brandon, Stephen E Stark, Vani N Simmons, Tracey E Barnett, Gwendolyn P Quinn, Seokjoon Chun

Registry-linked trialOpen access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Drug and alcohol dependence, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06196489 (Nicotine Cessation), which is not on this map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.2field-weighted citation impact, top 22% 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.

NCT06196489 narecruitingnot on this mapstarted 2024, after this paper: background citation

Nicotine Cessation: Adapting a Counseling Program for Emerging Adults

TypeinterventionalSponsorVeterans Medical Research FoundationRan2024 to 2026Enrolled20ConditionsE Cigarette UseArmsadapted vaping cessation intervention
3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

7 authors at 5 institutions in 1 country.

Paul T HarrellDepartment of Pediatrics, Division of Community Health & Research, Eastern Virginia Medical School (EVMS), Norfolk, VA, USA; Department of Psychiatry & Behavioral Sciences, EVMS, Norfolk, VA, USA. Electronic address: harrelpt@evms.edu.
Thomas H BrandonDepartment of Health Outcomes and Behavior, Moffitt Cancer Center, Tampa, FL, USA; Department of Psychology, University of South Florida, Tampa, FL, USA.
Stephen E StarkDepartment of Psychology, University of South Florida, Tampa, FL, USA.
Vani N SimmonsDepartment of Health Outcomes and Behavior, Moffitt Cancer Center, Tampa, FL, USA; Department of Psychology, University of South Florida, Tampa, FL, USA.
Tracey E BarnettDepartment of Biostatistics and Epidemiology, School of Public Health, University of North Texas Health Science Center, Fort Worth, TX, USA.
Gwendolyn P QuinnDepartment of Obstetrics & Gynecology, Grossman School of Medicine, New York University, New York, NY, USA.
Seokjoon ChunDepartment of Psychology, University of South Florida, Tampa, FL, USA.
University of South Florida · USEastern Virginia Medical School · USMoffitt Cancer Center · USNew York University · USUniversity of North Texas · US

Funding

Measure Development for Prediction of E-cigarette InitiationR03CA195124 · NCI · EASTERN VIRGINIA MEDICAL SCHOOL · PI HARRELL, PAUL TRUMAN · 2015 to 2016
$166k
NCI NIH HHS R03 CA195124
6 · The paper itself

Abstract

objectiveElectronic cigarettes are the most commonly used tobacco products by young adults. Measures of beliefs about outcomes of use (i.e., expectancies) can be helpful in predicting use, as well as informing and evaluating interventions to impact use.

methodsWe surveyed young adult students (N = 2296, Mean age=20.0, SD=1.8, 64 % female, 34 % White) from a community college, a historically black university, and a state university. Students answered ENDS expectancy items derived from focus groups and expert panel refinement using Delphi methods. Factor Analysis and Item Response Theory (IRT) methods were used to understand relevant factors and identify useful items.

resultsA 5-factor solution [Positive Reinforcement (consists of Stimulation, Sensorimotor, and Taste subthemes, α = .92), Negative Consequences (Health Risks and Stigma, α = .94), Negative Affect Reduction (α = .95), Weight Control (α = .92), and Addiction (α = .87)] fit the data well (CFI=0.95; TLI=0.94; RMSEA=0.05) and was invariant across subgroups. Factors were significantly correlated with relevant vaping measures, including vaping susceptibility and lifetime vaping. Hierarchical linear regression demonstrated factors were significant predictors of lifetime vaping after controlling for demographics, vaping ad exposure, and peer/family vaping. IRT analyses indicated that individual items tended to be related to their underlying constructs (a parameters ranged from 1.26 to 3.18) and covered a relatively wide range of the expectancies continuum (b parameters ranged from -0.72 to 2.47).

conclusionsA novel ENDS expectancy measure appears to be a reliable measure for young adults with promising results in the domains of concurrent validity, incremental validity, and IRT characteristics. This tool may be helpful in predicting use and informing future interventions. IMPLICATIONS: Findings provide support for the future development of computerized adaptive testing of vaping beliefs. Expectancies appear to play a role in vaping similar to smoking and other substance use. Public health messaging should target expectancies to modify young adult vaping behavior.

Indexed as

Electronic Nicotine Delivery SystemsVapingAdultFemaleHumansMalePsychometricsSmokingSurveys and QuestionnairesYoung AdultE-cigarettesENDSExpectanciesFactor analysisItem response theoryMeasurement invariancePsychometricsVapingYoung adult

Identifiers

PMID37028105
PMCPMC10187827
OpenAlexW4361284724

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

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.