Evidence map›Paper›PMID 35533571›Full record

ArticleDrug and alcohol dependence2022

Longitudinal latent class analysis of tobacco use and correlates among young adults over a 10-year period.

Erin L Sutfin, Rachel L Denlinger-Apte, Jennifer Cornacchione Ross, Kimberly G Wagoner, Cynthia K Suerken, John Spangler, Mark Wolfson, Beth A Reboussin

Erratum issuedOpen access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Drug and alcohol dependence, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.6field-weighted citation impact, top 35% 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

1 citing paper in PubMed, 5 citations in OpenAlex.

  1. Observational
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 1 country.

Erin L SutfinDepartment of Social Sciences and Health Policy, Wake Forest School of Medicine, USA. Electronic address: ESutfin@wakehealth.edu.
Rachel L Denlinger-ApteDepartment of Social Sciences and Health Policy, Wake Forest School of Medicine, USA.
Jennifer Cornacchione RossDepartment of Social Sciences and Health Policy, Wake Forest School of Medicine, USA.
Kimberly G WagonerDepartment of Social Sciences and Health Policy, Wake Forest School of Medicine, USA.
Cynthia K SuerkenDepartment of Biostatistics and Data Science, Wake Forest School of Medicine, USA.
John SpanglerDepartment of Family and Community Medicine, Wake Forest School of Medicine, USA.
Mark WolfsonDepartment of Social Medicine, Population, & Public Health, School of Medicine, University of California, Riverside, USA.
Beth A ReboussinDepartment of Biostatistics and Data Science, Wake Forest School of Medicine, USA.
Wake Forest University · USUniversity of California, Riverside · US

Funding

Tobacco Use during the Transition to AdulthoodR01CA141643 · NCI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI SUTFIN, ERIN L · 2009 to 2020
$6.9M
Cancer Prevention And Control Training Grant (CAPACITY)T32CA122061 · NCI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI KRISTIE L FOLEY, Kathryn Elizabeth Weaver · 2019 to 2026
$2.1M
NCI NIH HHS R01 CA141643NCI NIH HHS T32 CA122061
6 · The paper itself

Abstract

introductionWe assessed patterns and correlates, including demographic characteristics, psychological factors, and social role transitions, of young adults' tobacco use over time.

methodsIn the fall of 2010, we recruited a cohort of 3146 students from 11 colleges in North Carolina and Virginia. Participants completed baseline and at least two survey waves between 2010 and 2019.

resultsThe sample was 49.8% female, 15.7% non-white, and 6.6% Hispanic. Longitudinal latent class analysis revealed a five-class model with distinct patterns and correlates of tobacco use. Limited Use (52.6% of sample) had minimal use. College-Limited Combustible Tobacco Users (18.6%) had moderate probability of cigarette, cigar, and waterpipe smoking, which decreased to no use post-college. Intermittent Sustained Polytobacco Users (10.9%) had low probability of use that continued post-college. College Polytobacco with Continued Cigarette and E-Cigarette Users (14.5%) had high probability of use of cigarette smoking and increasing probability of e-cigarette, both of which continued post-college. Sustained Polytobacco Users (5.7%) had moderate probability of use of tobacco products across all waves.

conclusionsPatterns of tobacco use varied considerably. In most classes, tobacco use was highest during freshman year and in three classes, use continued post-college. Prevention activities should focus on first-year students and target those at risk for post-college tobacco use.

Indexed as

Electronic Nicotine Delivery SystemsTobacco ProductsFemaleHumansLatent Class AnalysisMaleStudentsTobacco UseUniversitiesYoung AdultLongitudinal researchRisk for tobacco useYouth tobacco use

Identifiers

PMID35533571
PMCPMC9554793
OpenAlexW4225007487

What OpenQuestion holds

Textmetadata
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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.