Evidence map›Paper›PMID 25338288›Full record

ArticleSubstance use & misuse2015

Perceived harm of tobacco products and individual schemas of a smoker in relation to change in tobacco product use over one year among young adults.

Carla J Berg, Devan R Romero, Kim Pulvers

Abstract read
In one paragraph

Article in Substance use & misuse, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 2 pooled it
1.2field-weighted citation impact, top 21% 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

16 citing papers in PubMed, 2 syntheses or guidelines pooled it, 18 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Review
  5. Article
  6. Tobacco Use Trajectories in Young Adults: Analyses of Predictors Across Systems Levels.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2020
    Article
  7. Article
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  14. Efficacy of a Brief Tobacco Intervention for Tobacco and Nicotine Containing Product Use in the US Air Force.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2016
    Article
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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

3 authors at 2 institutions in 1 country.

Carla J Berg1Department of Behavioral Sciences and Health Education, Emory University School of Public Health, Atlanta, Georgia, USA.
Devan R Romero
Kim Pulvers
California State University, San Marcos · USEmory University · US

Funding

The Development of Alcohol Use and Alcohol Disorders Across the LifespanK05AA021143 · NIAAA · EMORY UNIVERSITY · PI WINDLE, MICHAEL T · 2012 to 2016
$1.0M
Development of a Tailored eHealth Smoking Intervention for Community CollegesK07CA139114 · NCI · EMORY UNIVERSITY · PI BERG, CARLA J · 2010 to 2014
$640k
Innovative Web-Based Intervention for Smoking Cessation among College StudentsR43TR000358 · NCATS · MARKETZERO, LLC · PI SOKOL, MICHAEL · 2012 to 2012
$150k
NCATS NIH HHS 1R43TR000358-01NCI NIH HHS 1K07CA139114-01A1NCI NIH HHS K07 CA139114NIAAA NIH HHS K05-AA021143
6 · The paper itself

Abstract

introductionGiven increases in nondaily smoking and alternative tobacco use among young adults, we examined the nature of change of various tobacco product use among college students over a year and predictors of use at one-year follow-up.

methodsAn online survey was administered to students at six Southeast colleges and universities (N = 4,840; response rate = 20.1%) in Fall 2010, with attempts to follow up in Fall 2011 with a random subsample of 2,000 participants (N = 718; response rate = 35.9%). Data were analyzed from 698 participants with complete data regarding tobacco, marijuana, and alcohol use over a one-year period, perceived harm of tobacco use, and schemas of a "smoker" (as per the Classifying a Smoker Scale).

resultsBaseline predictors of current smoking at follow-up included being White (p = .001), frequency of smoking (p < .001), alternative tobacco use (p < .001), and perceived harm of smoking (p = .02); marginally significant predictors included marijuana use (p = .06) and lower scores on the Classifying a Smoker Scale (p = .07). Baseline predictors of current smoking at follow-up among baseline nondaily smokers included more frequent smoking (p = .008); lower Classifying a Smoker Scale score was a marginally significant predictor (p = .06). Baseline predictors of alternative tobacco use at follow-up included being male (p = .007), frequency of smoking (p = .04), alternative tobacco use (p < .001), and frequency of alcohol use (p = .003); marginally significant predictors included marijuana use (p = .07) and lower perceived harm of smokeless tobacco (p = .06) and cigar products (p = .08).

conclusionsTobacco control campaigns and interventions might target schemas of a smoker and perceived risks of using various tobacco products, even at low levels.

Indexed as

Health Knowledge, Attitudes, PracticeAlcohol DrinkingData CollectionFemaleHumansMaleMarijuana AbuseSmokingSoutheastern United StatesTobacco ProductsYoung Adultsmokingsmoking cessationtobacco controltobacco useyouth

Identifiers

PMID25338288
PMCPMC4299871
OpenAlexW2114607971

What OpenQuestion holds

Textmetadata
LicenceTDM
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.