Evidence map›Paper›PMID 26265038›Full record

ArticleAddictive behaviors2015

First tobacco product tried: associations with smoking status and demographics among college students.

Erin L Sutfin, Alicia Sparks, Jessica R Pockey, Cynthia K Suerken, Beth A Reboussin, Kimberly G Wagoner, John Spangler, Mark Wolfson

Abstract read
In one paragraph

Article in Addictive behaviors, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
–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

18 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Ethnicity and the mechanisms of point-of-sale e-cigarette marketing's influence on behavior: A longitudinal study.Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors · 2022
    Article
  7. Article
  8. Article
  9. Developing Pictorial Cigarillo Warnings: Insights From Focus Groups.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2021
    Article
  10. Article
  11. Article
  12. Article
  13. Longitudinal predictors of cigarette use among students from 24 Texas colleges.Journal of American college health : J of ACH · 2018
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. 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

8 authors.

Erin L SutfinDepartment of Social Sciences and Health Policy, Wake Forest School of Medicine, Medical Center Blvd., Winston-Salem, NC, USA. Electronic address: ESutfin@wakehealth.edu.
Alicia SparksDepartment of Health, Behavior and Society, Johns Hopkins Bloomberg School of Public Health, and Abt Associates, Inc., Baltimore, MD, USA.
Jessica R PockeyWest Chester, PA, USA.
Cynthia K SuerkenDepartment of Biostatistical Sciences, Wake Forest School of Medicine, Medical Center Blvd., Winston-Salem, NC, USA.
Beth A ReboussinDepartment of Biostatistical Sciences, Wake Forest School of Medicine, Medical Center Blvd., Winston-Salem, NC, USA.
Kimberly G WagonerDepartment of Social Sciences and Health Policy, Wake Forest School of Medicine, Medical Center Blvd., Winston-Salem, NC, USA.
John SpanglerDepartment of Family and Community Medicine, Wake Forest School of Medicine, Medical Center Blvd., Winston-Salem, NC, USA.
Mark WolfsonDepartment of Social Sciences and Health Policy, Wake Forest School of Medicine, Medical Center Blvd., Winston-Salem, NC, USA.

Funding

Tobacco Use during the Transition to AdulthoodR01CA141643 · NCI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI SUTFIN, ERIN L · 2009 to 2020
$6.9M
NCI NIH HHS R01 CA141643NCI NIH HHS R01CA141643
6 · The paper itself

Abstract

introductionAs the tobacco market expands, so too have the opportunities for youth to be introduced to nicotine. The goal of this study was to identify product choice for initial tobacco trial, correlates associated with product choice, and the relationship between first product and current cigarette smoking among college students.

methodsA cross-sectional web survey of 3146 first-year students at 11 universities in North Carolina and Virginia was conducted in fall 2010.

resultsWeighted prevalence of ever use of tobacco was 48.6%. Cigarettes were the most common first product (37.9%), followed by cigars (29.3%), hookahs (24.6%), smokeless tobacco (6.1%), and bidis/kreteks (2.2%). Two thirds (65%) of current smokers initiated with cigarettes, but 16.4% started with cigars, 11.1% with hookahs, 5.7% with smokeless, and 1.7% with bidis/kreteks. Females were more likely to report their first product was cigarettes and hookahs, while males were more likely to start with cigars and smokeless tobacco. Compared to those whose first product trial occurred after the age of 18, younger age of initiation (17years or younger) was associated with cigarettes and smokeless as first products, while older age of initiation (18 or older) was associated with starting with hookahs and cigars. Dual or poly tobacco use was more common among those who initiated with hookahs and smokeless tobacco.

conclusionsWhile over a third of students used cigarettes first, two thirds started with a non-cigarette product. Just about a third of current cigarette smokers initiated with a non-cigarette product, suggesting that those non-cigarette products may have facilitated escalation to cigarettes.

Indexed as

AdultAge DistributionCohort StudiesCross-Sectional StudiesFemaleHumansMaleNorth CarolinaPrevalenceSex DistributionSmokingStudentsTobacco ProductsUniversitiesVirginiaYoung AdultCigarette smokingCollege studentsNon-cigarette tobacco products

Identifiers

PMID26265038
PMCPMC5669365

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.