Evidence map›Paper›PMID 25475086›Full record

ArticleNicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco2015

Examination of the Wisconsin Inventory of Smoking Dependence Motives (WISDM-68) Factor Structure in a Sample of Pregnant Smokers.

Charlotte E Parrott, Nuvan Rathnayaka, Janice A Blalock, Jennifer A Minnix, Paul M Cinciripini, John P Vincent, David W Wetter, Charles Green

Abstract read
In one paragraph

Article in Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Psychometric Properties of the FTCD and Brief WISDM: Support for Validity in a Legal-System-Involved Sample.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2024
    Article
  2. Associations Between the Wisconsin Inventory of Smoking Dependence Motives and Regional Brain Volumes in Adult Smokers.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2023
    Article
  3. 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

8 authors.

Charlotte E ParrottDepartment of Psychology, University of Houston, Houston, TX;
Nuvan RathnayakaDepartment of Psychiatry, Center for Neurobehavioral Research on Addictions, University of Texas Health Science Center at Houston, Houston, TX;
Janice A BlalockDepartment of Behavioral Science, University of Texas MD Anderson Cancer Center, Houston, TX; jablaloc@mdanderson.org.
Jennifer A MinnixDepartment of Behavioral Science, University of Texas MD Anderson Cancer Center, Houston, TX;
Paul M CinciripiniDepartment of Behavioral Science, University of Texas MD Anderson Cancer Center, Houston, TX;
John P VincentDepartment of Psychology, University of Houston, Houston, TX;
David W WetterDepartment of Health Disparities and Population Sciences Research, University of Texas MD Anderson Cancer Center, Houston, TX.
Charles GreenDepartment of Psychiatry, Center for Neurobehavioral Research on Addictions, University of Texas Health Science Center at Houston, Houston, TX;

Funding

A Mood Management Intervention for Pregnant SmokersR01DA014301 · NIDA · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI CINCIRIPINI, PAUL MICHAEL · 2003 to 2007
$2.9M
NIDA NIH HHS R01 DA14301
6 · The paper itself

Abstract

introductionSmoking during pregnancy poses known risks to fetal and infant development. Women who continue to smoke during pregnancy exhibit higher levels of nicotine dependence than women who quit. Increased understanding of the construct of nicotine dependence in pregnant smokers may aid in the development of effective treatments. Research has suggested that nicotine dependence is a multifaceted construct, driven not only by withdrawal and tolerance processes, but also by reinforcement, sensory, and contextual processes. The Wisconsin inventory of smoking dependence motives (WISDM-68) assesses 13 varied smoking motives in order to assess processes that may lead to nicotine dependence.

methodsThe factor structure of the WISDM-68 was explored using an ethnically diverse sample of 294 pregnant women who had been screened and/or enrolled in a smoking cessation treatment study. Confirmatory analyses were conducted with previously published models. An exploratory factor analysis and exploratory structural equation modeling (ESEM) were conducted to develop and validate a measurement model for the WISDM-68 in this sample.

resultsPreviously established models were not a good fit for the present data. Using ESEM, a 9-factor model exhibiting both predictive and concurrent validity emerged. Two factors predicted abstinence 6 months posttreatment. Several factors were associated with smoking heaviness, the Fagerström test for cigarette dependence and time to first cigarette.

conclusionsIn contrast to previously published studies, a 9-factor model best characterizes the WISDM in the present sample. These findings may reflect smoking motivations unique to young, pregnant women who continue to smoke during pregnancy.

Indexed as

MotivationAdultFactor Analysis, StatisticalFemaleHumansPregnancyPregnant PeopleSmokingSmoking CessationSurveys and QuestionnairesTobacco Use DisorderYoung Adult

Identifiers

PMID25475086
PMCPMC4838051

What OpenQuestion holds

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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.