A Multivariate Analysis of Social Media’s Predictive Impact on Adolescent Depression and Anxiety

Xinrui Zhang

2025

Abstract

Adolescent mental health, particularly depression and anxiety, has emerged as a critical public health concern in the digital era. This study examines the predictive relationships between social media engagement-quantified through daily usage time, platform diversity, and interaction frequency-and mental health outcomes among adolescents, while accounting for demographic heterogeneity. Data from the Adolescent Mental Health and Social Media Use Survey (AMHSM-2023; N = 1,050) were analysed using multiple linear regression and stratified sensitivity analyses. Prolonged social media use demonstrated significant associations with elevated depression (β = 0.31, p < 0.001) and anxiety (β = 0.25, p < 0.001). Gender and environmental factors moderated these relationships, with female and urban adolescents exhibiting heightened vulnerability. Platform diversity displayed a nonlinear association with depression, suggesting an optimal engagement range. These findings advocate for balanced digital engagement policies and underscore the importance of interpretable models for targeted interventions. By integrating psychometric and computational methodologies, this study advances a holistic framework for addressing algorithmic stressors in adolescent mental health.

Paper Citation

in Harvard Style

Zhang X. (2025). A Multivariate Analysis of Social Media’s Predictive Impact on Adolescent Depression and Anxiety. In Proceedings of the 2nd International Conference on Innovations in Applied Mathematics, Physics, and Astronomy - Volume 1: IAMPA; ISBN 978-989-758-774-0, SciTePress, pages 319-323. DOI: 10.5220/0013825100004708

in Bibtex Style

@conference{iampa25,
author={Xinrui Zhang},
title={A Multivariate Analysis of Social Media’s Predictive Impact on Adolescent Depression and Anxiety},
booktitle={Proceedings of the 2nd International Conference on Innovations in Applied Mathematics, Physics, and Astronomy - Volume 1: IAMPA},
year={2025},
pages={319-323},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013825100004708},
isbn={978-989-758-774-0},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 2nd International Conference on Innovations in Applied Mathematics, Physics, and Astronomy - Volume 1: IAMPA
TI - A Multivariate Analysis of Social Media’s Predictive Impact on Adolescent Depression and Anxiety
SN - 978-989-758-774-0
AU - Zhang X.
PY - 2025
SP - 319
EP - 323
DO - 10.5220/0013825100004708
PB - SciTePress