Evidence map›Paper›PMID 28458075›Full record

Trial reportDrug and alcohol dependence2017

Executive function fails to predict smoking outcomes in a clinical trial to motivate smokers to quit.

Andrew T Fox, Laura E Martin, Jared Bruce, Jose L Moreno, Vincent S Staggs, Hyoung S Lee, Kathy Goggin, Kari Jo Harris, Kimber Richter, Christi Patten and 1 more

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Drug and alcohol dependence, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Motivational interviewing for smoking cessation.The Cochrane database of systematic reviews · 2019
    Review
  5. Article
  6. 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

11 authors.

Andrew T FoxHoglund Brain Imaging Center, University of Kansas Medical Center, Kansas City, KS 66160, USA. Electronic address: afox3@kumc.edu.
Laura E MartinHoglund Brain Imaging Center, University of Kansas Medical Center, Kansas City, KS 66160, USA; Department of Preventive Medicine and Public Health, University of Kansas Medical Center, Kansas City, KS 66160, USA.
Jared BruceDepartment of Psychology, University of Missouri - Kansas City, 5030 Cherry Hall, Room 313, Kansas City, MO, 64110, USA.
Jose L MorenoDepartment of Psychiatry, University of Texas Health Science Center - San Antonio,7703 Floyd Curl Drive, San Antonio, TX 78229-3900, USA.
Vincent S StaggsHealth Services and Outcomes Research, Children's Mercy Kansas City,2401 Gillham Road, Kansas City, MO 64108, USA; School of Medicine, University of Missouri - Kansas City,2411 Holmes Street Kansas City, MO 64108, USA.
Hyoung S LeeInterdisciplinary Arts and Sciences, University of Washington Tacoma, 1900 Commerce St, Tacoma, WA 98402-3100, USA.
Kathy GogginHealth Services and Outcomes Research, Children's Mercy Kansas City,2401 Gillham Road, Kansas City, MO 64108, USA; School of Medicine, University of Missouri - Kansas City,2411 Holmes Street Kansas City, MO 64108, USA.
Kari Jo HarrisSchool of Public and Community Health Sciences, University of Montana,Skaggs Building Room 352, Missoula, MT 59812, USA.
Kimber RichterDepartment of Preventive Medicine and Public Health, University of Kansas Medical Center, Kansas City, KS 66160, USA.
Christi PattenDepartment of Psychology and Psychiatry, Mayo Clinic, 200 First St SW, Rochester, MN 55905, USA.
Delwyn CatleyCenter for Children's Healthy Lifestyles and Nutrition, Children's Mercy Kansas City,2401 Gillham Rd., Kansas City, MO 64108, USA.

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

backgroundExecutive function (EF) is considered an important mediator of health outcomes. It is hypothesized that those with better EF are more likely to succeed in turning their intentions into actual health behaviors. Prior studies indicate EF is associated with smoking cessation. Experimental and longitudinal studies, however, have yielded mixed results. Few studies have examined whether EF predicts post-treatment smoking behavior. Fewer still have done so prospectively in a large trial. We sought to determine if EF predicts quit attempts and cessation among community smokers in a large randomized trial evaluating the efficacy of motivational interventions for encouraging cessation.

methodsParticipants (N=255) completed a baseline assessment that included a cognitive battery to assess EF (Oral Trail Making Test B, Stroop, Controlled Oral Word Association Test). Participants were then randomized to 4 sessions of Motivational Interviewing or Health Education or one session of Brief Advice to quit. Quit attempts and cessation were assessed at weeks 12 and 26.

resultsIn regression analyses, none of the EF measures were statistically significant predictors of quit attempts or cessation (all ps>0.20).

conclusionsOur data did not support models of health behavior that emphasize EF as a mediator of health outcomes. Methodological shortcomings weaken the existing support for an association between EF and smoking behavior. We suggest methodological improvements that could help move this potentially important area of research forward.

Indexed as

Executive FunctionIntentionMotivationAdultFemaleHealth BehaviorHumansMaleMotivational InterviewingPatient Education as TopicProspective StudiesRegression AnalysisSmokersSmokingSmoking CessationTreatment OutcomeClinical trialCommunity sampleExecutive functionHealth educationMotivational interviewingSmoking cessation

Identifiers

PMID28458075
PMCPMC5425305

What OpenQuestion holds

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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.