Evidence map›Paper›PMID 29236549›Full record

ArticleHealth communication2019

Does Seeking e-Cigarette Information Lead to Vaping? Evidence from a National Longitudinal Survey of Youth and Young Adults.

Qinghua Yang, Jiaying Liu, Kirsten Lochbuehler, Robert Hornik

Abstract read
In one paragraph

Article in Health communication, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

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

  1. Pooled it
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  14. Exposure to e-cigarette advertising and provaping websites, and the social acceptability of their use among nicotine users.Revista panamericana de salud publica = Pan American journal of public health · 2022
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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.

Qinghua Yanga Department of Communication Studies, Texas Christian University.ORCID 0000-0003-1358-8096
Jiaying Liub Department of Communication Studies, University of Georgia.ORCID 0000-0001-8461-0954
Kirsten Lochbuehlerc University of Pennsylvania Tobacco Center of Regulatory Science (TCORS).
Robert Hornikc University of Pennsylvania Tobacco Center of Regulatory Science (TCORS).ORCID 0000-0002-2148-8805

Funding

UPENN TCORS: Tobacco Product Messaging in a Complex Communication EnvironmentP50CA179546 · NCI · UNIVERSITY OF PENNSYLVANIA · PI HORNIK, ROBERT C. · 2013 to 2017
$18.7M
NCI NIH HHS P50 CA179546
6 · The paper itself

Abstract

Youth and young adults (YYAs) are vulnerable populations for e-cigarette use or vaping. This study examined the effect of YYAs' health information seeking behavior (HISB) around e-cigarette use and vaping on their subsequent vaping behavior. We conducted a nationally representative longitudinal phone survey of 13-25 year olds from June 2014 to September 2016, with 2,413 respondents who completed a baseline and follow-up survey six months later. The results from lagged logistic regressions and mediation analyses showed a) that information seeking predicted higher likelihood of vaping six months later even after controlling for baseline smoking and vaping status, intention to vape, and demographics, and b) that information seeking partially mediated the relationship between intention to vape and subsequent vaping behavior. Theoretical and regulatory implications are discussed.

Indexed as

Health BehaviorInformation Seeking BehaviorIntentionAdolescentAdultElectronic Nicotine Delivery SystemsFemaleHumansLongitudinal StudiesMaleSurveys and QuestionnairesUnited States

Identifiers

PMID29236549
PMCPMC5999537

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.