Evidence map›Paper›PMID 30077053›Full record

ArticleDrug and alcohol dependence2018

Longitudinal associations between youth tobacco and substance use in waves 1 and 2 of the Population Assessment of Tobacco and Health (PATH) Study.

Marushka L Silveira, Kevin P Conway, Victoria R Green, Karin A Kasza, James D Sargent, Nicolette Borek, Cassandra A Stanton, Amy Cohn, Nahla Hilmi, K Michael Cummings and 10 more

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

Article in Drug and alcohol dependence, 2018. 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 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
4.4field-weighted citation impact, top 5% 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

28 citing papers in PubMed, 60 citations in OpenAlex.

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  7. Marijuana, e-cigarette, and tobacco product use in young adults who underwent pediatric bariatric surgery.Surgery for obesity and related diseases : official journal of the American Society for Bariatric Surgery · 2023
    Observational
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

20 authors at 7 institutions in 1 country.

Marushka L SilveiraNational Institute on Drug Abuse, National Institutes of Health, 6001 Executive Blvd., Bethesda, MD 20892, USA; Kelly Government Solutions, Rockville, MD, USA. Electronic address: marushka.silveira@nih.gov.
Kevin P ConwayNational Institute on Drug Abuse, National Institutes of Health, 6001 Executive Blvd., Bethesda, MD 20892, USA.
Victoria R GreenNational Institute on Drug Abuse, National Institutes of Health, 6001 Executive Blvd., Bethesda, MD 20892, USA; Kelly Government Solutions, Rockville, MD, USA.
Karin A KaszaDepartment of Health Behavior, Roswell Park Cancer Institute, 665 Elm St, Buffalo, NY 14203, USA.
James D SargentCancer Control Research Program, Norris Cotton Cancer Center, and Dartmouth Institute for Health Policy and Clinical Practice, Dartmouth Geisel School of Medicine, Rubin 8 Lebanon, NH 03756, USA.
Nicolette BorekOffice of Science, Center for Tobacco Products, U.S. Food and Drug Administration, 10903 New Hampshire Avenue, Silver Spring, MD 20993, USA.
Cassandra A StantonWestat, 1600 Research Blvd, Rockville, MD 20850, USA.
Amy CohnThe Schroeder Institute for Tobacco Research and Policy Studies, Truth Initiative, 900 G Street, NW, Fourth Floor, Washington, DC 20001, USA.
Nahla HilmiNational Institute on Drug Abuse, National Institutes of Health, 6001 Executive Blvd., Bethesda, MD 20892, USA; Kelly Government Solutions, Rockville, MD, USA.
K Michael CummingsDepartment of Psychiatry and Behavioral Sciences, Medical University of South Carolina, 67 President Street, MSC 861, Charleston, SC 29425, USA.
Raymond S NiauraThe Schroeder Institute for Tobacco Research and Policy Studies, Truth Initiative, 900 G Street, NW, Fourth Floor, Washington, DC 20001, USA.
Elizabeth Y LambertNational Institute on Drug Abuse, National Institutes of Health, 6001 Executive Blvd., Bethesda, MD 20892, USA.
Mary F BrunetteCancer Control Research Program, Norris Cotton Cancer Center, and Dartmouth Institute for Health Policy and Clinical Practice, Dartmouth Geisel School of Medicine, Rubin 8 Lebanon, NH 03756, USA.
Izabella ZandbergOffice of Science, Center for Tobacco Products, U.S. Food and Drug Administration, 10903 New Hampshire Avenue, Silver Spring, MD 20993, USA.
Susanne E TanskiCancer Control Research Program, Norris Cotton Cancer Center, and Dartmouth Institute for Health Policy and Clinical Practice, Dartmouth Geisel School of Medicine, Rubin 8 Lebanon, NH 03756, USA.
Chad J ReissigOffice of Science, Center for Tobacco Products, U.S. Food and Drug Administration, 10903 New Hampshire Avenue, Silver Spring, MD 20993, USA.
Priscilla Callahan-LyonOffice of Science, Center for Tobacco Products, U.S. Food and Drug Administration, 10903 New Hampshire Avenue, Silver Spring, MD 20993, USA.
Wendy I SlavitOffice of Science, Center for Tobacco Products, U.S. Food and Drug Administration, 10903 New Hampshire Avenue, Silver Spring, MD 20993, USA.
Andrew J HylandDepartment of Health Behavior, Roswell Park Cancer Institute, 665 Elm St, Buffalo, NY 14203, USA.
Wilson M ComptonNational Institute on Drug Abuse, National Institutes of Health, 6001 Executive Blvd., Bethesda, MD 20892, USA.
National Institutes of Health · USUnited States Food and Drug Administration · USDartmouth Institute for Health Policy and Clinical Practice · USAmerican Legacy Foundation · USRoswell Park Comprehensive Cancer Center · USMedical University of South Carolina · USWestat (United States) · US

Funding

Intramural NIH HHS Z99 DA999999NIDA NIH HHS HHSN271201100027C
6 · The paper itself

Abstract

backgroundWhile evidence suggests bidirectional associations between cigarette use and substance (alcohol or drug) use, how these associations are reflected across the range of currently available tobacco products is unknown. This study examined whether ever tobacco use predicted subsequent substance use, and ever substance use predicted subsequent tobacco use among 11,996 U.S. youth (12-17 years) from Waves 1 (2013-2014) and 2 (2014-2015) of the Population Assessment of Tobacco and Health (PATH) Study.

methodsEver use of cigarettes, e-cigarettes, traditional cigars, cigarillos, filtered cigars, pipe, hookah, snus pouches, smokeless tobacco excluding snus pouches, dissolvable tobacco, bidis, kreteks, alcohol, marijuana, prescription drugs, and other drugs (cocaine and other stimulants, heroin, inhalants, solvents, and hallucinogens) was assessed at Wave 1 followed by past 12-month use assessments at Wave 2. The analyses included covariates (demographics, mental health, sensation seeking, prior use) to mitigate confounding.

resultsEver tobacco use predicted subsequent substance use. The magnitude of the associations was lowest for alcohol, higher for marijuana, and highest for other drugs. Ever substance use also predicted subsequent tobacco use. Specifically, ever alcohol, marijuana, and non-prescribed Ritalin/Adderall use predicted tobacco-product use. Ever e-cigarette and cigarette use exclusively and concurrently predicted subsequent any drug (including and excluding alcohol) use. E-cigarette and cigarette use associations in the opposite direction were also significant; the strongest associations were observed for exclusive cigarette use.

conclusionTobacco and substance use prevention efforts may benefit from comprehensive screening and interventions across tobacco products, alcohol, and drugs, and targeting risk factors shared across substances.

Indexed as

Population SurveillanceAdolescentChildElectronic Nicotine Delivery SystemsFemaleHumansLongitudinal StudiesMaleRisk FactorsSubstance-Related DisordersTobacco UseTobacco Use DisorderUnited StatesBidirectionalDrugsEpidemiologic studiesMarijuanaTobacco productsYouth

Identifiers

PMID30077053
PMCPMC6239207
OpenAlexW2884779231

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.