Evidence map›Paper›PMID 32629146›Full record

ArticleDrug and alcohol dependence2020

Predictive validity of the adult tobacco dependence index: Findings from waves 1 and 2 of the Population Assessment of Tobacco and Health (PATH) study.

David R Strong, Eric Leas, Madison Noble, Martha White, Kevin C Frissell, Allison Glasser, Lauren Katz, Kristie Taylor, Wilson M Compton, Kevin P Conway and 8 more

Open access · greenAbstract read
In one paragraph

Article in Drug and alcohol dependence, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
2.8field-weighted citation impact, top 9% 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

31 citing papers in PubMed, 44 citations in OpenAlex.

  1. Using Pod Based e-Cigarettes and Nicotine Pouches to Reduce Harm for Adults With Low Socioeconomic Status Who Smoke: A Pilot Randomized Controlled Trial.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2024
    Trial
  2. Article
  3. What is the Addictive Potential from Vaping?Nordisk alkohol- & narkotikatidskrift : NAT · 2026
    Article
  4. Identifying Key Predictors of Smoking Cessation Success: Text-Based Feature Selection Using a Large Language Model.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2026
    Article
  5. Article
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  7. Cigarette Smoking Relapse Among People Who Switched to E-cigarettes or Other Tobacco Products.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2025
    Article
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  16. An Evaluation of the Contextual Factors Associated With the Use of Either Tobacco or Electronic Cigarettes in Individuals Who Dual Use.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2024
    Article
  17. Article
  18. Article
  19. Indicators of Tobacco Dependence Among Youth: Findings From Wave 1 (2013-2014) of the Population Assessment of Tobacco and Health Study.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2023
    Article
  20. 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

18 authors at 7 institutions in 1 country.

David R StrongCancer Prevention & Control Program, Moores Cancer Center University of California, San Diego, United States; Department of Family Medicine and Public Health, University of California, San Diego, United States. Electronic address: dstrong@ucsd.edu.
Eric LeasCancer Prevention & Control Program, Moores Cancer Center University of California, San Diego, United States; Department of Family Medicine and Public Health, University of California, San Diego, United States.
Madison NobleCancer Prevention & Control Program, Moores Cancer Center University of California, San Diego, United States; Department of Family Medicine and Public Health, University of California, San Diego, United States.
Martha WhiteCancer Prevention & Control Program, Moores Cancer Center University of California, San Diego, United States; Department of Family Medicine and Public Health, University of California, San Diego, United States.
Kevin C FrissellWestat, Rockville, MD, United States.
Allison GlasserCollege of Global Public Health, New York University, United States.
Lauren KatzCollege of Global Public Health, New York University, United States.
Kristie TaylorWestat, Rockville, MD, United States.
Wilson M ComptonNational Institute on Drug Abuse (NIDA/NIH), Bethesda, MD, United States(1).
Kevin P ConwayNational Institute on Drug Abuse (NIDA/NIH), Bethesda, MD, United States(1).
Elizabeth LambertNational Institute on Drug Abuse (NIDA/NIH), Bethesda, MD, United States(1).
Heather L KimmelNational Institute on Drug Abuse (NIDA/NIH), Bethesda, MD, United States(1).
Marushka L SilveiraNational Institute on Drug Abuse (NIDA/NIH), Bethesda, MD, United States(1); Kelly Government Solutions, Rockville, MD, United States.
Victoria GreenNational Institute on Drug Abuse (NIDA/NIH), Bethesda, MD, United States(1); Kelly Government Solutions, Rockville, MD, United States.
Lynn C HullCenter for Tobacco Products, FDA, Silver Spring, MD, United States.
K Michael CummingsMedical University of South Carolina, United States.
Andrew HylandRoswell Park Cancer Institute, Buffalo, NY, United States.
Ray NiauraCollege of Global Public Health, New York University, United States.
National Institute on Drug Abuse · USCancer Prevention Institute of California · USNew York University · USWestat (United States) · USMedical University of South Carolina · USRoswell Park Comprehensive Cancer Center · USUniversity of California San Diego · US

Funding

NIDA NIH HHS HHSN271201100027C
6 · The paper itself

Abstract

BACKGROUND AND

aimsBuilding on published work

participantsA U.S. nationally representative sample of 32,320 adult W1 and W2 interviews focused on 11,615 W1 adults who were current established tobacco users and completed the W2 interview.

findingsHigher TD scores and greater changes in TD scores were associated with greater quantity and frequency of tobacco use at the W2 interview for Cigarette Only (n = 7068), Smokeless (smokeless or snus pouches) Only (n = 772), Cigarette plus E-Cigarette (n = 592), and Multiple Products (n = 1866) users, although not significantly so for E-Cigarette Only (n = 367), Cigar Only (traditional, cigarillo, or filtered) (n = 584), or Hookah Only (n = 366) users. Higher TD was associated with decreased odds of successful quitting for Cigarette and Multiple Product users. Higher TD was associated with increased odds of a quit attempt for those in the Hookah and Multiple Products user groups and was not associated with quit attempts or deceased odds of quit success among exclusive E-Cigarette, Cigar, Smokeless and Cigarette plus E-Cigarette users.

conclusionSupport for the predictive validity of the PATH Study measures of adult TD will enable regulatory investigations of TD across several tobacco products.

Indexed as

AdolescentAdultElectronic Nicotine Delivery SystemsFemaleHumansMaleMiddle AgedProspective StudiesResearch DesignSelf ReportSmoking Water PipesTobacco ProductsTobacco, SmokelessTobacco UseTobacco Use DisorderUnited StatesLongitudinal national surveyNicotine dependenceValidity

Identifiers

PMID32629146
PMCPMC7446939
OpenAlexW3038451982

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.