Evidence map›Paper›PMID 36125691›Full record

ArticlePrevention science : the official journal of the Society for Prevention Research2023

Inconsistencies in Adolescent Self-Reported Sexual Behavior: Experience from Four Randomized Controlled Trials.

Jill R Glassman, Elizabeth R Baumler, Karin K Coyle

Abstract read
In one paragraph

Article in Prevention science : the official journal of the Society for Prevention Research, 2023. 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.

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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

3 authors.

Jill R GlassmanClinical Excellence Research Center (CERC), Stanford University School of Medicine, 291 Campus Drive, Stanford, CA, USA.
Elizabeth R BaumlerCenter for Violence Prevention, The University of Texas Medical Branch, 301 University Blvd, Galveston, TX, USA. elbaumle@utmb.edu.ORCID 0000-0002-2691-2062
Karin K CoyleEducation Training and Associates, 100 Enterprise Way, Suite G300, Scotts Valley, CA, USA.

Funding

Inaccuracies in self-report measures of adolescent risk-taking behaviorsR03HD077153 · NICHD · EDUCATION, TRAINING, & RESEARCH ASSOCS · PI GLASSMAN, JILL R · 2014 to 2015
$139k
NICHD NIH HHS R03 HD077153
6 · The paper itself

Abstract

To examine the degree, correlates, and implications of inconsistent self-report data on sexual risk behaviors of adolescents. We analyzed data from four longitudinal group-randomized controlled trials of evidence-based HIV/STI/pregnancy prevention programs in Texas and California from 2000 to 2010. Across- and within-time logical inconsistencies in sexual behavior survey responses were analyzed using multilevel logistic regression. Rates of any inconsistencies ranged from 12 to 18% across the four trials. In all trials, rates were higher in males than in females. Age, normative beliefs, and race/ethnicity were most strongly associated with inconsistencies. We found substantial rates of inconsistencies in adolescents' self-reports of their sexual behavior, which did not occur at random. Studies should routinely report observed rates of inconsistencies and methods used to adjust for them so that any biases in the population to which the study generalizes are understood by public health practitioners and policy-makers looking to adopt programs for their particular population.

Indexed as

Adolescent BehaviorHIV InfectionsSexually Transmitted DiseasesAdolescentFemaleHumansMalePregnancyRandomized Controlled Trials as TopicRisk-TakingSelf ReportSexual BehaviorInconsistent reportingMeasurementSelf-report sexual risk behavior

Identifiers

PMID36125691
PMCPMC12020203

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.