Evidence map›Paper›PMID 37327251›Full record

ArticleNicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco2023

Retrospective and Real-time Measures of the Quantity of E-cigarette Use: An Ecological Momentary Assessment Study.

James J Yang, Tzung-Shiang Ou, Hsien-Chang Lin, Joon Kyung Nam, Megan E Piper, Anne Buu

Open access · greenAbstract read
In one paragraph

Article in Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
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

10 citing papers in PubMed, 11 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Article
  4. Urinary Tobacco and Nicotine Exposure Biomarkers as Predictors of Transitions between Cigarette and e-Cigarette Use in the Exhale Longitudinal Cohort Study.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2026
    Observational
  5. Article
  6. Article
  7. Article
  8. Article
  9. Mobile Health Interventions for Substance Use Disorders.Annual review of clinical psychology · 2024
    Review
  10. 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

6 authors at 3 institutions in 1 country.

James J YangDepartment of Biostatistics and Data Science, University of Texas Health Science Center, Houston, TX, USA.
Tzung-Shiang OuDepartment of Applied Health Science, School of Public Health, Indiana University-Bloomington, Bloomington, IN, USA.ORCID 0000-0002-7741-9681
Hsien-Chang LinDepartment of Applied Health Science, School of Public Health, Indiana University-Bloomington, Bloomington, IN, USA.ORCID 0000-0001-9151-2172
Joon Kyung NamDepartment of Health Promotion and Behavioral Sciences, University of Texas Health Science Center, Houston, TX, USA.
Megan E PiperCenter for Tobacco Research & Intervention, Department of Medicine, School of Medicine and Public Health, University of Wisconsin, Madison, WI, USA.ORCID 0000-0002-9876-5460
Anne BuuDepartment of Health Promotion and Behavioral Sciences, University of Texas Health Science Center, Houston, TX, USA.ORCID 0000-0002-5799-9594
The University of Texas Health Science Center at Houston · USIndiana University Bloomington · USUniversity of Wisconsin–Madison · US

Funding

Methodology and measurement for examining short-term and long-term effects of e-cigarette and polysubstance useR01DA049154 · NIDA · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI BUU, YUH-PEY ANNE, LIN, HSIEN-CHANG · 2019 to 2022
$2.6M
NIDA NIH HHS R01 DA049154
6 · The paper itself

Abstract

introductionQuantifying e-cigarette use is challenging because of the wide variety of products and the lack of a clear, objective demarcation of a use event. This study aimed to characterize the difference between retrospective and real-time measures of the quantity of e-cigarette use and identify the covariates that may account for discrepancies between the two types of measures.

methodsThis study analyzed data from 401 college student e-cigarette users in Indiana and Texas who responded to a web survey (retrospective) and 7-day ecological momentary assessments (EMA) (real-time) on their e-cigarette use behavior, dependence symptomatology, e-cigarette product characteristics, and use contexts from Fall 2019 to Fall 2021. Generalized linear mixed models were used to model the real-time measures of quantity offset by the retrospective average quantity.

resultsAlthough the number of times using e-cigarettes per day seems to be applicable to both retrospective and real-time measures, the number reported via EMA was 8.5 times the retrospective report. E-cigarette users with higher e-cigarette primary dependence motives tended to report more daily nicotine consumption via EMA than their retrospective reports (ie, perceived average consumption). Other covariates that were associated with discrepancies between real-time and retrospective reports included gender, nicotine concentration, using a menthol- or fruit-flavored product, co-use with alcohol, and being with others when vaping.

conclusionsThe study found extreme under-reporting of e-cigarette consumption on retrospective surveys. Important covariates identified to be associated with higher than average consumption may be considered as potential targets for future vaping interventions. IMPLICATIONS: This is the first study that characterizes the direction and magnitude of the difference between retrospective and real-time measures of the quantity of e-cigarette use among young adults-the population most likely to use e-cigarettes. An average retrospective account of vaping events per day may significantly underestimate e-cigarette use frequency among young adults. The lack of insight into the degree of consumption among users with heavy primary dependence motives illustrates the importance of incorporating self-monitoring into cessation interventions.

Indexed as

Electronic Nicotine Delivery SystemsTobacco ProductsVapingEcological Momentary AssessmentHumansNicotineRetrospective StudiesYoung AdultNicotine

Identifiers

PMID37327251
PMCPMC10445250
OpenAlexW4380875346

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.