Sexual Health and Artificial Intelligence Literacy in Young Adults: Digital Age Perspective

Young people represent a substantial proportion of the global population, and the experiences gained during adolescence and early adulthood play a critical role in shaping lifelong health behaviors. Health literacy, defined as the ability to access, understand, and use health information, is particularly important during this developmental period.

Sexual health is a key component of overall well-being and quality of life. Risky sexual behaviors among young adults may lead to serious outcomes such as unintended pregnancies, sexually transmitted infections, and sexual violence. Therefore, sexual health literacy is essential for promoting safe behaviors and protecting reproductive health.

In recent years, digital environments have become major sources of health information for young people. With the rapid rise of generative artificial intelligence tools, individuals increasingly rely on AI-based systems for accessing and interpreting health-related content. This highlights the growing importance of artificial intelligence literacy, which refers to the ability to understand, critically evaluate, and effectively use AI technologies.

However, the relationship between artificial intelligence literacy and sexual health literacy has not yet been directly examined. This study aims to investigate the association between these two literacy domains among young adults, contributing to a better understanding of sexual health information-seeking behaviors in the digital age.

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Key information

Conditions

Sexuality Artificial Intelligence Behavior Sexual Behavior

Age range

18 year–24 year

Sex eligibility

All sexes

Study type

Observational

Primary location

Online study

Istanbul, Turkey (Türkiye)

Who can participate

Healthy volunteers accepted: Yes

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

Aged 18-24 years
Able to read and write Turkish
Access to the internet
Voluntarily agreeing to participate

Exclusion criteria

Refusal to provide informed consent
Visual impairment preventing survey completion
Cognitive or language impairments preventing survey completion

Treatment and study plan

Primary outcomes

Introduction Information Forum

Time frame: At enrollment

This form was developed by the researchers based on the relevant literature and consists of 29 items designed to assess participants' sociodemographic characteristics and digital usage patterns.
Sexual Health Literacy

Time frame: At enrollment (18-24 years old participants)

Sexual health literacy assessed using the 17-item Sexual Health Literacy Scale. The scale includes two subscales: Knowledge (12 items, score range 12-60) and Attitude (5 reverse-coded items, score range 5-25). Higher scores indicate higher sexual health literacy. Cronbach's alpha = 0.88.
Artificial Intelligence Literacy

Time frame: At enrollment (18-24 years old participants)

AI literacy assessed using the 12-item Artificial Intelligence Literacy scale, covering four dimensions: Awareness, Usage, Evaluation, Ethics. Each item scored 1-5; higher scores indicate greater AI literacy. Cronbach's alpha = 0.939.

Sponsors and collaborators

Lead sponsor

Istanbul University - Cerrahpasa

Other

Registry information

Official study title

The Relationship Between Sexual Health Literacy and Artificial Intelligence Literacy in Young Adults: A Cross-Sectional Digital Age Study

Important dates

Study start: 2026
Primary completion: 2026
Study completion: 2026
First posted: Jan 29, 2026
Registry last updated: Jul 1, 2026

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

Published trials that share one or more normalized conditions with this study.

Completed