Evidence map›Paper›PMID 27679606›Full record

ArticleNicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco2017

Implicit Attitudes and Smoking Behavior in a Smoking Cessation Induction Trial.

Hyoung S Lee, Merideth Addicott, Laura E Martin, Kari J Harris, Kathy Goggin, Kimber P Richter, Christi A Patten, F Joseph McClernon, Kandace Fleming, Delwyn Catley

Abstract read
In one paragraph

Article in Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
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  4. Observational
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  9. The impact of nicotine dose and instructed dose on smokers' implicit attitudes to smoking cues: An ERP study.Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors · 2019
    Article
  10. Cognitive factors and addiction.Current opinion in psychology · 2019
    Review
  11. Article
  12. 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

10 authors.

Hyoung S LeeSchool of Interdisciplinary Arts and Sciences, University of Washington Tacoma, Tacoma, WA.
Merideth AddicottPsychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, NC.
Laura E MartinDepartment of Preventive Medicine and Public Health, University of Kansas Medical Center, Kansas City, KS.
Kari J HarrisSchool of Public and Community Health Sciences, the University of Montana, Missoula, MT.
Kathy GogginHealth Services and Outcomes Research, Children's Mercy Hospitals and Clinics and University of Missouri-Kansas City Schools of Medicine and Pharmacy, Kansas City, MO.
Kimber P RichterDepartment of Preventive Medicine and Public Health, University of Kansas Medical Center, Kansas City, KS.
Christi A PattenDepartment of Psychiatry and Psychology and Behavioral Health Research Program, Mayo Clinic, Rochester, MN.
F Joseph McClernonPsychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, NC.
Kandace FlemingInstitute for Life Span Studies, University of Kansas, Lawrence, KS.
Delwyn CatleyCenter for Children's Healthy Lifestyles & Nutrition, Children's Mercy Hospitals and Clinics and Department of Psychology, University of Missouri-Kansas City, Kansas City, MO.

Funding

Can Motivational Interviewing be Effective for Smoking Cessation?R01CA133068 · NCI · UNIVERSITY OF MISSOURI KANSAS CITY · PI CATLEY, DELWYN · 2009 to 2012
$1.6M
NCI NIH HHS R01 CA133068
6 · The paper itself

Abstract

introductionAlthough studies have suggested that implicit attitudes may predict smoking-related decisions, evidence that changes in implicit attitudes toward smoking are related to changes in smoking behavior is lacking. Using data from a trial comparing interventions to induce quit attempts among unmotivated smokers, this study examined whether changes in implicit attitudes were associated with quit attempts and cessation after controlling for explicit motivation.

methodsDaily smokers recruited from the community completed measures of implicit attitudes (Implicit Association Test) and explicit measure of motivation to smoke at baseline, mid-intervention (week 12 [W12]) and follow-up (week 26 [W26]). Quit attempts and cessation were assessed at follow-up, and cessation was biochemically verified.

resultsAs hypothesized, Implicit Association Test scores became more negative from baseline to W12, a change that was sustained at follow-up. Logistic regression analyses in which implicit attitudes were used to predict smoking outcomes revealed that negative changes in implicit attitudes from baseline to W12 and from baseline to W26 were significantly related to quit attempts (OR = 0.71, 95% CI [0.52, 0.97], p < .05 for both) independent of explicit motivation. Negative changes in implicit attitudes from baseline to W26 were significantly related to cessation (OR = 0.50, 95% CI [0.25, 1.00], p < .05).

conclusionsNegative changes in implicit attitudes were associated with positive changes in smoking behavior independent of explicit motivation. This result indicates that smoking cessation interventions may be enhanced by incorporating strategies to change implicit attitudes, and that changes in implicit attitudes are also potentially important intervention outcomes. IMPLICATIONS: Smoking cessation interventions may be improved by going beyond the current focus on explicit psychological constructs and targeting automatic cognitive processes such as implicit attitudes. The results are encouragement to examine how best to manipulate smokers' implicit attitudes as well as to determine the effect on their smoking behavior.

Indexed as

Attitude to HealthMotivationFemaleHumansMaleMiddle AgedSmokingSmoking Cessation

Identifiers

PMID27679606
PMCPMC5896513

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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.