Evidence map›Paper›PMID 23735493›Full record

ArticleNonlinear dynamics, psychology, and life sciences2013

Intention to use condom, cusp modeling, and evaluation of an HIV prevention intervention trial.

Xinguang Chen, Bonita Stanton, Din Chen, Xiaoming Li

Open access · greenAbstract read
In one paragraph

Article in Nonlinear dynamics, psychology, and life sciences, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
5.5field-weighted citation impact, top 5% of its field
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

10 citing papers in PubMed, 18 citations in OpenAlex.

  1. Trial
  2. The Impact of a Sexual and Reproductive Health Intervention for American Indian Adolescents on Predictors of Condom Use Intention.The Journal of adolescent health : official publication of the Society for Adolescent Medicine · 2017
    Trial
  3. Article
  4. Article
  5. Article
  6. Article
  7. Cusp Catastrophe Regression and Its Application in Public Health and Behavioral Research.International journal of environmental research and public health · 2017
    Article
  8. Article
  9. Article
  10. 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

4 authors at 1 institution in 1 country.

Xinguang ChenWayne State University School of Medicine, Detrot, MI 48201, USA. jimchen@med.wayne.edu
Bonita Stanton
Din Chen
Xiaoming Li
Wayne State University · US

Funding

Evidence-based multi level risk reduction for Bahamian mid-adolescentsR01MH069229 · NIMH · WAYNE STATE UNIVERSITY · PI STANTON, BONITA FRANCES · 2004 to 2013
$4.3M
Social capital and HIV risk behavior among rural migrants in ChinaR01MH086322 · NIMH · WAYNE STATE UNIVERSITY · PI CHEN, XINGUANG · 2010 to 2014
$1.6M
Modeling quantum change in adolescent sexual initiation and condom useR01HD075635 · NICHD · WAYNE STATE UNIVERSITY · PI CHEN, XINGUANG · 2013 to 2017
$1.5M
NICHD NIH HHS R01 HD075635NIMH NIH HHS R01 MH069229NIMH NIH HHS R01 MH086322
6 · The paper itself

Abstract

Adolescents are at particularly high risk to acquire HIV infection; increasing the likelihood of condom use is an effective measure to reduce the risk of such infections. Challenges in assessing actual condom use behavior among early adolescents render the precursor measure, intention to use condoms, an appealing alternative. While analyzing data from a randomized controlled trial to evaluate a theory-based intervention program to promote condom use among early adolescents, we observed a modest effect with regard to condom use intention when the linear analytical approach was used. If intention, as a measure of the readiness to perform a behavior, also contains a nonlinear discrete component, it would be more appropriately modeled using a nonlinear approach. In this study, data from a randomized controlled trial (N=1360) were analyzed using the cusp catastrophe method with HIV knowledge and condom skills as the asymmetry variables and condom use self-efficacy as the bifurcation variables. Findings from concurrent and longitudinal modeling analyses indicated a much better fit of the cusp model (R2 = 0.85); AIC and BIC were one-fourth that of than the linear (R2 lt; 0.10) or the logistic model (R2 lt; 0.15). Receipt of the intervention as an asymmetry variable was significantly predicted condom use intention but did not as a bifurcation variable. In conclusion, adolescent intentions to use a condom contain both a continuous process and a discrete process and can better be modeled with cusp catastrophe methods. A much greater program effect is likely from the same prevention intervention if additional measures are taken to foster sudden changes in condom intention.

Indexed as

Health Knowledge, Attitudes, PracticeModels, PsychologicalAdolescentAdolescent BehaviorBahamasChildCondomsFemaleHIV InfectionsHumansIntentionLongitudinal StudiesMaleRandomized Controlled Trials as TopicSafe Sex

Identifiers

PMID23735493
PMCPMC4106698
OpenAlexW42937211

What OpenQuestion holds

Textmetadata
LicenceTDM
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.