Evidence map›Paper›PMID 37406572›Full record

ArticleDrug and alcohol dependence2023

Dependence motives and use contexts that predicted smoking cessation and vaping cessation: A two-year longitudinal study with 13 waves.

Joon Kyung Nam, Megan E Piper, Zhaoxue Tong, Runze Li, James J Yang, Douglas E Jorenby, Anne Buu

Open access · greenAbstract read
In one paragraph

Article in Drug and alcohol dependence, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.7field-weighted citation impact, top 30% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. 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

7 authors at 4 institutions in 1 country.

Joon Kyung NamDepartment of Health Promotion and Behavioral Sciences, University of Texas Health Science Center, 7000 Fannin St.Houston, TX77030USA.
Megan E PiperCenter for Tobacco Research & Intervention, University of Wisconsin, 1930 Monroe Street, Suite 200Madison, WI53711USA.
Zhaoxue TongDepartment of Statistics, Pennsylvania State University, 413 Thomas Building, University Park, PA16802-2111USA.
Runze LiDepartment of Statistics, Pennsylvania State University, 413 Thomas Building, University Park, PA16802-2111USA.
James J YangDepartment of Biostatistics and Data Science, University of Texas Health Science Center, 1200 Pressler St.Houston, TX77030USA.
Douglas E JorenbyCenter for Tobacco Research & Intervention, University of Wisconsin, 1930 Monroe Street, Suite 200Madison, WI53711USA.
Anne BuuDepartment of Health Promotion and Behavioral Sciences, University of Texas Health Science Center, 7000 Fannin St.Houston, TX77030USA. Electronic address: Yuh-Pey.A.Buu@uth.tmc.edu.
Pennsylvania State University · USThe University of Texas Health Science Center · USUniversity of Wisconsin System · USThe University of Texas Health Science Center at Houston · US

Funding

E-Cigarettes: Dynamic Patterns of Use and Health EffectsR01CA190025 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI JORENBY, DOUGLAS E, PIPER, MEGAN E · 2015 to 2019
$4.1M
Methodology and measurement for examining short-term and long-term effects of e-cigarette and polysubstance useR01DA049154 · NIDA · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI BUU, YUH-PEY ANNE, LIN, HSIEN-CHANG · 2019 to 2022
$2.6M
NCI NIH HHS R01 CA190025NIDA NIH HHS R01 DA049154
6 · The paper itself

Abstract

introductionPrior studies examining the impact of e-cigarette use, dependence, cessation motivation/goals, and environmental restriction on smoking cessation were based on cross-sectional or shorter-term longitudinal data with binary outcomes. There is also a critical knowledge gap in corresponding impact on vaping cessation. This study aims to fill in these gaps by investigating these factors' effects on speed of progression to smoking and vaping cessation.

methodsThis study conducted secondary analysis of data from 13 waves of assessment of adult cigarette users in Wisconsin from October 2015 through July 2019. Cox regression was employed to examine baseline predictors' effects on speed of progression to smoking cessation (past-month abstinence) among 405 exclusive combustible cigarette users and dual users of combustible and electronic cigarettes, as well as progression to vaping cession among 178 dual users.

resultsDual use of e-cigarettes with cigarettes, lower primary dependence motives of smoking, higher secondary dependence motives of smoking, higher motivation to quit smoking, more ambitious future goals to quit smoking, and more restrictive environment for smoking all contributed to quicker progression to smoking cessation. Dual users with higher secondary dependence motives of smoking or with lower primary dependence motives of vaping progressed faster to vaping cessation.

conclusionsThe findings support that nicotine dependence is product-specific with two distinct constructs: the primary dependence motives are associated with more difficulty to quit, whereas the secondary dependence motives have the opposite effect. Dual users with strong instrumental reasons for smoking may not find e-cigarettes as an effective substitute for cigarettes.

Indexed as

Electronic Nicotine Delivery SystemsSmoking CessationTobacco ProductsVapingAdultCross-Sectional StudiesHumansLongitudinal StudiesMotivationCessationCigaretteDependenceE-cigaretteLongitudinal

Identifiers

PMID37406572
PMCPMC10623667
OpenAlexW4381620927

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.