Predictors of Cyberchondria During the COVID-19 Pandemic: Cross-sectional Study Using Supervised Machine Learning

Predictors of Cyberchondria During the COVID-19 Pandemic: Cross-sectional Study Using Supervised Machine Learning

BackgroundCyberchondria is characterized by repeated and compulsive online searches for health information, resulting in increased health anxiety and distress. It has been conceptualized as a multidimensional construct fueled by both anxiety and compulsivity-related factors a...

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Main Authors: Alexandre Infanti, Vladan Starcevic, Adriano Schimmenti, Yasser Khazaal, Laurent Karila, Alessandro Giardina, Maèva Flayelle, Seyedeh Boshra Hedayatzadeh Razavi, Stéphanie Baggio, Claus Vögele, Joël Billieux
Format: Article
Language:English
Published: JMIR Publications 2023-04-01
Series:JMIR Formative Research
Online Access:https://formative.jmir.org/2023/1/e42206

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https://formative.jmir.org/2023/1/e42206

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