This paper is in the following e-collection/theme issue:

Design and Usability of Websites for Special User Groups (237) Users' and Patients' Needs for Mental Health Services (505) Demographics of Users, Social & Digital Divide (918) Anxiety and Stress Disorders (1333) Systemic Racism and Racial Bias in Health Care and Society (128) Student/Learners Perceptions and Experiences with Educational Technology (112)

Published on in Vol 12 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/60628, first published .
Use of Online Tools for Mental Health Among Racially and Ethnically Diverse College Students: Mixed Methods Study

Use of Online Tools for Mental Health Among Racially and Ethnically Diverse College Students: Mixed Methods Study

Use of Online Tools for Mental Health Among Racially and Ethnically Diverse College Students: Mixed Methods Study

Authors of this article:

Sarah Z Hamza1 Author Orcid Image ;   Yesenia Aguilar Silvan1 Author Orcid Image ;   Lauren C Ng1 Author Orcid Image
Article Authors Cited by (1) Tweetations (3) Metrics

Journals

  1. You Q, Luo Y, Chen Z, Song X, Wang F, Wen S, Ding Q, Chen J. How large language model responds to common depression questions: A comparative analysis of ChatGPT-4.0, DeepSeek, Google Gemini and Perplexity. Nurse Education in Practice 2026;90:104668 View