Can online behaviors be linked to mental health? Active versus passive social network usage on depression via envy and self-esteem

IF 9 1区心理学 Q1 PSYCHOLOGY, EXPERIMENTAL

Computers in Human Behavior Pub Date : 2024-09-24 DOI:10.1016/j.chb.2024.108455

Nhan Duc Nguyen , Ngoc-Anh Truong , Pham Quang Dao , Huan Hong Nguyen

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引用次数: 0

Abstract

Purpose

The association between online social networking sites (SNS) and the mental health of adolescents has been a subject of investigation, yielding conflicting results in previous studies. While some findings suggest a negative correlation between SNS usage and mental health, others propose a positive link. This study aimed to reconcile these discrepancies by examining the combined impact of two types of SNS usage on depression, considering envy and self-esteem as potential mediators.

Design/methodology/approach

A total of 523 participants completed a questionnaire assessing SNS usage, envy, self-esteem, and depression. The Partial Least Squares Structural Equation Modeling (PLS-SEM) approach was employed.

Findings

The results revealed distinct patterns in the relationship between SNS usage and depression based on guided theories. Specifically, passive social network usage (PSNU) was found to be positively linked to depression through both envy and self-esteem, aligning with the Social Comparison Theory. On the other hand, active social network usage (ASNU), guided by the Social Information Processing Theory, exhibited a negative link to depression, mediated only by self-esteem.

Originality/value

These findings suggest that PSNU may exert a more prevalent and dominant association with depression than ASNU. Consequently, recognizing the distinct patterns of SNS usage is essential for understanding their effects on mental health. Integrating both ASNU and PSNU into the same model clarified their unique contributions to mental health through multiple mediators (envy and self-esteem). The study discusses limitations and implications, shedding light on the nuanced relationship.

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网络行为与心理健康有关吗？通过嫉妒和自尊使用社交网络对抑郁症的主动与被动影响

目的网上社交网站（SNS）与青少年心理健康之间的关系一直是研究的主题，以往的研究结果相互矛盾。一些研究结果表明，社交网站的使用与心理健康之间存在负相关，而另一些研究则认为两者之间存在正相关。本研究旨在通过考察两种SNS使用方式对抑郁症的综合影响，并将嫉妒和自尊作为潜在的中介因素，来调和这些差异。设计/方法/途径共有523名参与者填写了一份问卷，评估SNS使用情况、嫉妒、自尊和抑郁症。结果结果显示，基于指导理论，社交网络使用与抑郁之间的关系存在不同的模式。具体而言，被动社交网络使用（PSNU）通过嫉妒和自尊与抑郁呈正相关，这与社会比较理论相吻合。另一方面，以社会信息处理理论（Social Information Processing Theory）为指导的主动社交网络使用（ASNU）则表现出与抑郁症的负向联系，而这种联系仅以自尊为中介。因此，要了解 SNS 对心理健康的影响，就必须认识到 SNS 使用的不同模式。将ASNU和PSNU整合到同一个模型中，通过多种中介因素（嫉妒和自尊）阐明了它们对心理健康的独特贡献。本研究讨论了局限性和影响，揭示了两者之间的微妙关系。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Computers in Human Behavior Multiple-

CiteScore

19.10

自引率

4.00%

发文量

381

审稿时长

40 days

期刊介绍： Computers in Human Behavior is a scholarly journal that explores the psychological aspects of computer use. It covers original theoretical works, research reports, literature reviews, and software and book reviews. The journal examines both the use of computers in psychology, psychiatry, and related fields, and the psychological impact of computer use on individuals, groups, and society. Articles discuss topics such as professional practice, training, research, human development, learning, cognition, personality, and social interactions. It focuses on human interactions with computers, considering the computer as a medium through which human behaviors are shaped and expressed. Professionals interested in the psychological aspects of computer use will find this journal valuable, even with limited knowledge of computers.