Evidence map›Paper›PMID 24893602›Full record

Trial reportNicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco2014

Predicting quit attempts among homeless smokers seeking cessation treatment: an ecological momentary assessment study.

Michael S Businelle, Ping Ma, Darla E Kendzor, Lorraine R Reitzel, Minxing Chen, Cho Y Lam, Ira Bernstein, David W Wetter

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
57citing papers in PubMed, 2 pooled it
–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

57 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Interventions to reduce tobacco use in people experiencing homelessness.The Cochrane database of systematic reviews · 2020
    Pooled it
  3. Trial
  4. Trial
  5. Trial
  6. Trial
  7. Trial
  8. Using Elastic Net Penalized Cox Proportional Hazards Regression to Identify Predictors of Imminent Smoking Lapse.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2019
    Trial
  9. Trial
  10. Trial
  11. Article
  12. Article
  13. Review
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  15. Article
  16. Mobile Health Interventions for Substance Use Disorders.Annual review of clinical psychology · 2024
    Review
  17. Article
  18. Article
  19. Observational
  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

8 authors.

Michael S BusinelleUniversity of Texas Health Science Center School of Public Health, Dallas, TX; University of Texas Southwestern Medical Center, Dallas, TX; michael.businelle@utsouthwestern.edu.
Ping MaUniversity of Texas Health Science Center School of Public Health, Dallas, TX; University of Texas Southwestern Medical Center, Dallas, TX;
Darla E KendzorUniversity of Texas Health Science Center School of Public Health, Dallas, TX; University of Texas Southwestern Medical Center, Dallas, TX;
Lorraine R ReitzelDepartment of Educational Psychology, University of Houston, Houston, TX;
Minxing ChenDepartment of Health Disparities Research, University of Texas MD Anderson Cancer Center, Houston, TX.
Cho Y LamDepartment of Health Disparities Research, University of Texas MD Anderson Cancer Center, Houston, TX.
Ira BernsteinUniversity of Texas Southwestern Medical Center, Dallas, TX;
David W WetterDepartment of Health Disparities Research, University of Texas MD Anderson Cancer Center, Houston, TX.

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI DIANE BODURKA · 1985 to 2026
$290.8M
UT Southwestern Center for Translational Medicine (UL1/KL2/TL1)UL1TR001105 · NCATS · UT SOUTHWESTERN MEDICAL CENTER · PI TOTO, ROBERT DANIEL · 2013 to 2017
$24.5M
NCATS NIH HHS UL1 TR001105NCI NIH HHS CA016672NCI NIH HHS P30 CA016672
6 · The paper itself

Abstract

introductionHomeless adults are more likely to smoke tobacco and are less likely to successfully quit smoking than smokers in the general population, despite comparable numbers of cessation attempts and desire to quit. To date, studies that have examined smoking cessation in homeless samples have used traditional lab/clinic-based assessment methodologies. Real-time assessment of key variables may provide new insights into the process of quitting among homeless smokers.

methodsThe purpose of the current study was to identify predictors of a quit attempt using real-time assessment methodology during the 6 days prior to a scheduled quit attempt among homeless adults seeking care at a shelter-based smoking cessation clinic. Parameters for multiple variables (i.e., motivation for quitting, smoking expectancies, quit self-efficacy, smoking urges, negative affect, positive affect, restlessness, hostility, and stress) were calculated and were used as predictors of biochemically verified quit date abstinence (i.e., ≥13hr abstinent) using logistic regression analyses.

resultsParticipants (n = 57) were predominantly male (59.6%), non-White (68.4%), and smoked an average of 18 cigarettes per day. A total of 1,132 ecological momentary assessments (83% completion rate) were collected at random times (i.e., up to 4 assessments/day) during the 6 days prior to a scheduled quit attempt. Results indicated that declining (negative slope) negative affect, restlessness, and stress predicted quit date abstinence. Additionally, increasing positive coping expectancies across the prequit week predicted quit date abstinence.

conclusionsStudy findings highlight multiple variables that may be targeted during the precessation period to increase smoking cessation attempts in this difficult to treat population of smokers.

Indexed as

Cell PhoneMotivationSelf EfficacyAdultFemaleHumansIll-Housed PersonsMaleMiddle AgedPredictive Value of TestsSmokingSmoking Cessation

Identifiers

PMID24893602
PMCPMC4207873

What OpenQuestion holds

Textmetadata
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.