Evidence map›Paper›PMID 35072304›Full record

ArticleAddiction (Abingdon, England)2022

Trajectories of e-cigarette advertising exposure, e-cigarette use and cigarette smoking in a sample of young adults from Hawaii.

Pallav Pokhrel, Crissy T Kawamoto, Ian Pagano, Thaddeus A Herzog

Abstract read
In one paragraph

Article in Addiction (Abingdon, England), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Ethnicity, Coronavirus Disease-Related Stress, and E-cigarette Use and Cigarette Smoking Among Young Adults: A Longitudinal Study.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2023
    Article
  6. Cancer Health Disparities Research Training: A Qualitative Report.Pacific Asia inquiry : multidisciplinary perspectives · 2022
    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

4 authors.

Pallav PokhrelCancer Prevention in the Pacific, University of Hawaii Cancer Center, University of Hawaii at Manoa, Honolulu, Hawaii, USA.ORCID 0000-0002-7906-0799
Crissy T KawamotoCancer Prevention in the Pacific, University of Hawaii Cancer Center, University of Hawaii at Manoa, Honolulu, Hawaii, USA.
Ian PaganoCancer Prevention in the Pacific, University of Hawaii Cancer Center, University of Hawaii at Manoa, Honolulu, Hawaii, USA.
Thaddeus A HerzogCancer Prevention in the Pacific, University of Hawaii Cancer Center, University of Hawaii at Manoa, Honolulu, Hawaii, USA.

Funding

University of Hawaii Cancer Center CCSGP30CA071789 · NCI · UNIVERSITY OF HAWAII AT MANOA · PI Pallav Pokhrel · 1996 to 2026
$56.2M
University of Guam/Cancer Research Center of Hawaii Partnership (2 of 2)U54CA143728 · NCI · UNIVERSITY OF GUAM · PI TRESSA P DIAZ · 2009 to 2026
$20.1M
University of Guam/Cancer Research Center of Hawaii Partnership (1 of 2)U54CA143727 · NCI · UNIVERSITY OF HAWAII AT MANOA · PI Brenda Yukari Hernandez, RACHAEL T LEON GUERRERO · 2009 to 2026
$19.1M
Prospective effects of electronic cigarette marketing on expectancies and behaviorR01CA202277 · NCI · UNIVERSITY OF HAWAII AT MANOA · PI POKHREL, PALLAV · 2016 to 2020
$2.6M
Social Processes of E-cigarette Marketing's Influence on BehaviorR01CA228905 · NCI · UNIVERSITY OF HAWAII AT MANOA · PI POKHREL, PALLAV · 2018 to 2020
$1.4M
NCI NIH HHS P30 CA071789NCI NIH HHS R01 CA202277NCI NIH HHS R01 CA228905NCI NIH HHS U54 CA143727NCI NIH HHS U54 CA143728
6 · The paper itself

Abstract

aimTo test whether intrapersonal growth in e-cigarette advertising exposure over time is associated with growth in e-cigarette use and/or cigarette smoking.

designLongitudinal study using four waves of data were collected in 6-month intervals between 2018 and 2020. SETTING AND

participantsParticipants were 2327 young adults recruited from colleges in Hawaii, USA. MEASUREMENTS: Data were collected on demographics, e-cigarette advertising exposure measured using the cued- recall method and recent (past 30-day) cigarette and e-cigarette use.

findingsThe average trajectory for e-cigarette advertising exposure over time was significant and upward [M slope = 0.18 (0.14-0.22), P < 0.0001]. However, average trajectories for e-cigarette [M slope = -0.08 (-0.18 to 0.02), P = 0.09] and cigarette [M slope = -0.14 (-0.30 to 0.02), P = 0.07] use were not. There were significant differences in individual level trajectories across participants for advertising exposure [σ

conclusionsIncreased exposure to e-cigarette advertising appears to be associated with increased e-cigarette use but not with increased cigarette smoking. Higher initial level of e-cigarette use appears to be associated with higher initial level of cigarette smoking but may be associated with a decreasing rate of cigarette smoking over time.

Indexed as

Cigarette SmokingElectronic Nicotine Delivery SystemsVapingAdvertisingHawaiiHumansLongitudinal StudiesYoung AdultCigarette smokinge-cigarette advertisinge-cigarette uselongitudinalmultiethnicyoung adults

Identifiers

PMID35072304
PMCPMC9236703

What OpenQuestion holds

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Registered trials

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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.