Evidence map›Paper›PMID 30715533›Full record

ArticleTranslational behavioral medicine2020

Cross-validation of transtheoretical model smoking cessation measures in Chicago WIHS women smokers with and at risk for HIV.

Colleen A Redding, David Goldberg, Kathleen M Weber, Hui-Qing Yin, Andrea L Paiva, Jane Burke-Miller, Mardge H Cohen, Joseph S Rossi

Abstract read
In one paragraph

Article in Translational behavioral medicine, 2020. 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
–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

2 citing papers in PubMed.

  1. Article
  2. Smoking, HIV, and risk of pregnancy loss.AIDS (London, England) · 2017
    Observational
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.

Colleen A ReddingCancer Prevention Research Center, Department of Psychology, College of Health Sciences, University of Rhode Island, Kingston, RI, USA.
David GoldbergDepartment of Medicine, Cook County Health and Hospital System and Rush University, Chicago, IL, USA.
Kathleen M WeberThe CORE Center at Cook County Health and Hospital System, Chicago, IL, USA.
Hui-Qing YinCancer Prevention Research Center, Department of Psychology, College of Health Sciences, University of Rhode Island, Kingston, RI, USA.
Andrea L PaivaCancer Prevention Research Center, Department of Psychology, College of Health Sciences, University of Rhode Island, Kingston, RI, USA.
Jane Burke-MillerThe CORE Center at Cook County Health and Hospital System, Chicago, IL, USA.
Mardge H CohenDepartment of Medicine, Cook County Health and Hospital System and Rush University, Chicago, IL, USA.
Joseph S RossiCancer Prevention Research Center, Department of Psychology, College of Health Sciences, University of Rhode Island, Kingston, RI, USA.

Funding

UCSF CLINICAL AND TRANSLATIONAL SCIENCE INSTITUTEUL1RR024131 · NCRR · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI JOHNSTON, S. CLAIBORNE · 2006 to 2011
$111.2M
Women's Interagency HIV Study (WIHS) IV, Chicago ConsortiumU01AI034993 · NIAID · HEKTOEN INSTITUTE FOR MEDICAL RESEARCH · PI COHEN, MARDGE H, FRENCH, AUDREY · 1994 to 2018
$51.0M
WOMENS INTERAGENCY HIV STUDY (WIHS)U01HD032632 · NICHD · UNIVERSITY OF SOUTHERN CALIFORNIA · PI MILAM, JOEL E · 1994 to 2012
$42.0M
DevelopmentalP30AI082151 · NIAID · RUSH UNIVERSITY MEDICAL CENTER · PI LANDAY, ALAN L · 2009 to 2014
$4.6M
NCRR NIH HHS UL1 RR024131NIAID NIH HHS P30 AI082151NIAID NIH HHS U01 AI034993NICHD NIH HHS U01 HD032632
6 · The paper itself

Abstract

People with and at risk for HIV have high rates of smoking, increasing their morbidity and mortality. Effective cessation interventions are needed for this group. Transtheoretical model (TTM)-tailored interventions have demonstrated efficacy, but measures need cross-validation in this population. TTM cessation measures were evaluated in women smokers with and at risk for HIV (N = 111) from Chicago Women's Interagency HIV Study (WIHS). Confirmatory factor analyses evaluated measurement models. MANOVAs examined relationships between constructs and stage subgroups. For decisional balance, the two-factor uncorrelated model was best (χ2(20) = 13.96; comparative fit index [CFI], 1.0; root mean square error of approximation [RMSEA] = .00), with good (pros α = .78) and fair (cons α = .55) four-item alphas. The one-factor temptations model (α = .90) showed reasonable fit (χ2(18) = 80.22; CFI = .89; RMSEA = .177). Processes of change subscales had fair to good two-item alphas (α = .49-.77) and fit a 10-factor fully correlated model (χ2(125) = 222.72; CFI = .88; RMSEA = .084). MANOVAs by stage of change replicated expected patterns for the pros, overall temptations, and two process subscales with medium-sized effects (η2 = .06-.18). Contrary to expectations, no differences by stage were found for cons or temptation negative affect subscales. The structures of these TTM measures replicated with good internal and external validity, except for the cons, which needs refinement. Negative affect temptations was structurally sound, but did not vary by stage group potentially reflecting this sample's moderate depression levels and/or their reliance on smoking to deal with negative affect. Results support the use of most TTM measures in research and tailored interventions to increase smoking cessation among women smokers with and at risk for HIV and highlight the importance of managing negative affect in cessation materials targeting this group.

Indexed as

HIV InfectionsSmoking CessationChicagoDecision MakingFemaleHumansQuality of LifeSmokersTranstheoretical ModelAdult womenHIV+Measurement validationSmoking cessationTranstheoretical modelTTM

Identifiers

PMID30715533
PMCPMC7237546

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.