Urban high-school students
Participants were aged 14–19 years. Age, gender and BMI were used as covariates.
Interactive research translation
Explore how body-related distress, online reassurance seeking, cyberchondria and eHealth literacy can shape trust in AI-generated health advice.
Study pathway
Evidence base
The application uses the article's reported relationships as an educational model. It does not reproduce or replace the original clinical scales.
Participants were aged 14–19 years. Age, gender and BMI were used as covariates.
Stronger negative body-related affect and lower body self-esteem were linked to AI trust indirectly through cyberchondria.
eHealth literacy did not significantly change either body-image-to-AI-trust relationship.
Module 1
Reflect on body-related emotions and self-evaluation. These items are educational prompts, not a diagnostic instrument.
Module 2
Distinguish constructive information seeking from repetitive, anxiety-driven checking.
Online search behaviour
Module 3
Evaluate whether an AI response acknowledges uncertainty, encourages verification and avoids replacing professional care.
Case
Module 4
Combine your responses into an educational summary and a safer AI-use pathway.
Your learning profile