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Updated: Aug 28, 2025

Assessment of Sexual Behavior of Male Mice

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Published on: March 5, 2020

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

Jill R Glassman¹, Elizabeth R Baumler², Karin K Coyle³

¹Clinical Excellence Research Center (CERC), Stanford University School of Medicine, 291 Campus Drive, Stanford, CA, USA.

Prevention Science : the Official Journal of the Society for Prevention Research

|September 20, 2022

Summary

This summary is machine-generated.

Adolescent self-reports on sexual risk behaviors show significant inconsistencies, particularly in males. Understanding these patterns is crucial for accurate public health program evaluation.

Keywords:

Inconsistent reporting Measurement Self-report sexual risk behavior

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Area of Science:

Public Health
Adolescent Health
Behavioral Science

Background:

Inconsistent self-report data can bias findings in studies of adolescent sexual risk behaviors.
Accurate data is essential for evaluating the effectiveness of HIV/STI/pregnancy prevention programs.

Purpose of the Study:

To determine the prevalence, associated factors, and implications of inconsistent self-reported sexual risk behaviors among adolescents.
To inform public health practitioners and policymakers about data limitations in adolescent health research.

Main Methods:

Analysis of longitudinal data from four group-randomized controlled trials of prevention programs (2000-2010).
Utilized multilevel logistic regression to assess across- and within-time logical inconsistencies in survey responses.
Examined associations between demographic and belief factors and data inconsistencies.

Main Results:

Inconsistency rates in sexual behavior self-reports ranged from 12% to 18% across trials.
Males exhibited higher rates of inconsistencies than females.
Age, normative beliefs, and race/ethnicity were significantly associated with reporting inconsistencies.

Conclusions:

Adolescents' self-reports of sexual behavior contain substantial, non-random inconsistencies.
Routine reporting of data inconsistencies and adjustment methods is recommended for accurate public health research interpretation.
Understanding these biases is vital for effective implementation of adolescent health interventions.