Work

Anxiety predicts internet addiction, which predicts depression among male college students: A cross-lagged comparison by sex

Year: 2023

Type: article

Abstract: Objectives: Internet addiction has become an increasingly serious public health issue, putting young people at particular risk of psychological harm. This study aimed to analyze the interactions between college students' depression, anxiety, and Internet addiction and explore how these interactions differ between men and women. Methods: A 6-month follow-up study was conducted on 234 college students using the Self-Rating Depression Scale, Self-rating Anxiety Scale, and Revised Chen Internet Addiction Scale. Results: < 0.01). Anxiety can predict Internet addiction and that Internet addiction can predict depression. Moreover, anxiety had a significant predictive effect on Internet addiction among men. Conclusion: Anxiety predicts Internet addiction, and Internet addiction predicts depression among male college students. These findings may better inform future Internet addiction intervention strategies. Particularly, interventions may better address Internet addiction by focusing on the role of anxiety, especially among men.

Source: Frontiers in Psychology

DOI: 10.3389/fpsyg.2022.1102066

Authors: Xiaoqian Xie, Hui Cheng, Zi Chen

Institution: Chengdu Medical College

Language: English

Topic: Impact of Technology on Adolescents

Subfield: Sociology and Political Science

Field: Social Sciences

Domain: Social Sciences

SDG: Good health and well-being

Open Access status: gold

Estimated APC paid: $3,295