Lițan Daniela-Elena
Psychology Department, West University of Timișoara, 300223 Timișoara, Romania.
Behav Sci (Basel). 2025 Apr 7;15(4):481. doi: 10.3390/bs15040481.
In the "era" in which social networks have become an integral part of everyday life, this study aims to analyze the impact of social network addiction on mental health, with a focus on the manifestation of anxiety and depression symptoms. The relationship analyzed on a batch of a Romanian adult population, explained by self-esteem and influenced by factors such as age and professional status, highlights the fact that all age categories and professional status can be affected by addiction to the online environment but with different degrees of intensity. The analyses carried out using Structural Equation Modeling (SEM) suggest that young people and professionally inactive people are the categories with the highest degree of self-esteem impairment and with a high potential to manifest symptoms associated with depression and anxiety disorders, as a result of the intense use of social networks. The current study makes a significant contribution to the specialized literature, given the small volume of similar studies conducted on the adult population of Romania.
在社交网络已成为日常生活不可或缺一部分的“时代”，本研究旨在分析社交网络成瘾对心理健康的影响，重点关注焦虑和抑郁症状的表现。对一批罗马尼亚成年人群体进行分析的关系，由自尊来解释，并受年龄和职业地位等因素影响，突出了这样一个事实，即所有年龄类别和职业地位都可能受到网络环境成瘾的影响，但程度不同。使用结构方程模型（SEM）进行的分析表明，由于大量使用社交网络，年轻人和职业上不活跃的人是自尊受损程度最高且最有可能表现出与抑郁和焦虑症相关症状的群体。鉴于针对罗马尼亚成年人群体开展的类似研究数量较少，当前研究对专业文献做出了重大贡献。
