Evidence map›Paper›PMID 31706253›Full record

ArticleDrug and alcohol dependence2019

Tobacco use and the interplay of internalizing, externalizing and substance use problems: A latent class analysis of data from the Population Assessment of Tobacco and Health Study.

Ollie Ganz, Rajiv N Rimal, Amanda L Johnson, Amy M Cohn, Kimberly Horn, Cristine D Delnevo, Andrea C Villanti

Abstract read
In one paragraph

Article in Drug and alcohol dependence, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

7 authors.

Ollie GanzDepartment of Prevention and Community Health, George Washington University Milken Institute School of Public Health, 950 New Hampshire Avenue NW, Washington, DC 20052, United States. Electronic address: ganzo@gwmail.gwu.edu.
Rajiv N RimalDepartment of Prevention and Community Health, George Washington University Milken Institute School of Public Health, 950 New Hampshire Avenue NW, Washington, DC 20052, United States; Department of Health, Behavior and Society, Johns Hopkins Bloomberg School of Public Health, 615 N. Wolfe St., Baltimore, MD 21205, United States.
Amanda L JohnsonOklahoma Tobacco Research Center, University of Oklahoma Health Sciences Center, 655 Research Parkway, Oklahoma City, Oklahoma 73104, United States.
Amy M CohnOklahoma Tobacco Research Center, University of Oklahoma Health Sciences Center, 655 Research Parkway, Oklahoma City, Oklahoma 73104, United States; Department of Oncology, Georgetown University Medical Center, 3800 Reservoir Rd. NW, Washington D.C. 20057, United States.
Kimberly HornDepartment of Population Health Sciences, Virginia Tech Carilion Research Institute, 2 Riverside Circle, Roanoke, VA 24016, United States.
Cristine D DelnevoCenter for Tobacco Studies, Rutgers School of Public Health, 683 Hoes Lane West, Piscataway, NJ 08854, United States.
Andrea C VillantiVermont Center on Behavior and Health, University of Vermont, 1 South Prospect Street, Burlington, VT 05401, United States; Department of Psychiatry, University of Vermont, 1 South Prospect Street, Burlington, VT 05401, United States.

Funding

Vermont Center on Behavior and HealthP20GM103644 · NIGMS · UNIVERSITY OF VERMONT & ST AGRIC COLLEGE · PI SIGMON, STACEY C · 2013 to 2022
$21.3M
NIGMS NIH HHS P20 GM103644
6 · The paper itself

Abstract

backgroundCigarette smoking is disproportionately high among adults with two or more psychiatric disorders (psychiatric comorbidities), yet research on non-cigarette tobacco use among this population is scant. Additionally, most studies on tobacco use this among this population rely on psychiatric diagnoses rather than individual symptoms, potentially excluding individuals with symptom-specific issues that increase their risk for tobacco use but do not meet the criteria for diagnosis. The objectives of this study were to identify unique classes of individuals based on symptoms of psychiatric disorders and to assess differences in demographic characteristics and tobacco use behaviors between classes.

methodsThis study used data from Wave 2 of the Population Assessment of Tobacco and Health Study adult dataset. Latent class analysis was used to classify individuals based on internalizing, externalizing and substance use problems. Bivariate and multivariable models examined the association between latent class membership and current use of cigarettes, cigar products, electronic nicotine delivery systems, pipe, hookah and smokeless tobacco products. Poly tobacco use was also examined.

resultsThree latent classes were identified. The "normative" class reported low prevalence of all symptoms, the "severe internalizing and non-violent externalizing" class reported severe internalizing problems and non-violent externalizing problems and the "severe" class reported high prevalence of all symptoms. Tobacco use was highest for the "severe" class and lowest for the "normative" class across products.

conclusionsIndividuals in the "severe" class may be at elevated risk of tobacco-related morbidity and mortality and would likely benefit from targeted tobacco control interventions.

Indexed as

Latent Class AnalysisAdolescentAdultAgedCigarette SmokingCohort StudiesComorbidityElectronic Nicotine Delivery SystemsFemaleHumansLongitudinal StudiesMaleMiddle AgedPrevalenceSmoking Water PipesSubstance-Related DisordersComorbiditiesMental healthNon-cigarette tobacco productsSubstance use

Identifiers

PMID31706253
PMCPMC12269367

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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.