Karakose Turgut, Yıldırım Bilal, Tülübaş Tijen, Kardas Abdurrahman
Department of Education, Kutahya Dumlupınar University, Kutahya, Türkiye.
Department of Education, Istanbul Sabahattin Zaim University, Istanbul, Türkiye.
Front Psychol. 2023 Feb 8;14:1126815. doi: 10.3389/fpsyg.2023.1126815. eCollection 2023.
Using digital addiction as an umbrella term to cover any type of addictions to digital technologies such as the internet, smartphones, social media, or video games, the current study aimed to reveal the intellectual structure and evolution of research addressing digital addiction-depression relationship.
The study combined bibliometric and science mapping analysis methods for this purpose. Data for the study was gathered from Web of Science Core Collection after a comprehensive process of data search/extraction, and 241 articles were included in the final data set. A period-based, comparative science mapping analysis was performed using the SciMAT software.
The analysis of data over three periods, Period 1 (1983-2016), Period 2 (2017-2019), and Period 3 (2020-2022) showed that internet addiction was the most significant theme across all three periods, which was followed by social media addiction. Depression, which emerged as a significant theme during Period 1, was later covered under anxiety disorder theme. Research interest was mostly on factors related to both addiction and depression such as cognitive distortion, insomnia, loneliness, self-esteem, social support, alexithymia, as well as cybervictimization or academic performance.
The results suggested that much research is warranted on the digital addiction-depression relationship in different age cohorts, especially children and elderly. Similarly, the current analysis showed that this line of research particularly focused on internet, gaming and social media addiction, and evidence with regard to other types of digital addiction or related compulsive behaviors was almost absent. In addition, research was mostly inclined to understanding cause-effect relationships, which is significant, but preventive strategies seemed to be barely addressed. Likewise, the smartphone addiction-depression relationship arguably garnered less research interest, so future research would contribute to the field in this respect.
本研究将数字成瘾作为一个总括性术语，涵盖对互联网、智能手机、社交媒体或电子游戏等任何类型数字技术的成瘾，旨在揭示探讨数字成瘾与抑郁关系的研究的知识结构和演变。
为此，本研究结合了文献计量学和科学图谱分析方法。在经过全面的数据搜索/提取过程后，从科学网核心合集中收集了本研究的数据，最终数据集纳入了241篇文章。使用SciMAT软件进行了基于时间段的比较科学图谱分析。
对三个时间段，即第1阶段（1983 - 2016年）、第2阶段（2017 - 2019年）和第3阶段（2020 - 2022年）的数据进行分析表明，网络成瘾是所有三个时间段中最显著的主题，其次是社交媒体成瘾。抑郁在第1阶段作为一个显著主题出现，后来被纳入焦虑症主题之下。研究兴趣主要集中在与成瘾和抑郁相关的因素上，如认知扭曲、失眠、孤独、自尊、社会支持、述情障碍，以及网络受害或学业成绩。
结果表明，有必要针对不同年龄组，尤其是儿童和老年人，对数字成瘾与抑郁的关系进行更多研究。同样，当前分析表明，这一研究领域特别关注互联网、游戏和社交媒体成瘾，几乎没有关于其他类型数字成瘾或相关强迫行为的证据。此外，研究大多倾向于理解因果关系，这很重要，但预防策略似乎几乎未被涉及。同样，智能手机成瘾与抑郁的关系可能较少受到研究关注，因此未来研究将在这方面为该领域做出贡献。
