Revealing the Intellectual Structure and Evolution of Digital Addiction Research: An Integrated Bibliometric and Science Mapping Approach.
Turgut KarakoseTijen TülübaşStamatios PapadakisPublished in: International journal of environmental research and public health (2022)
The current study uses "digital addiction" as an umbrella term to refer to addiction to the Internet, social media, smartphones, digital devices, video games, or similar digital technologies. The study aims to investigate the scientific landscape of the digital addiction research field through combining bibliometric and science mapping analysis and to facilitate insight into the development and evolution of this knowledge base. Data for the analysis were extracted from the Scopus database, which covers a wide range of journal articles, with 429 articles addressing digital addiction included in the analysis. The science mapping analysis was performed over three consecutive time periods using SciMAT software to observe the thematic evolution. The results indicated that addictive behavior was the most significant theme across the three time periods. Cross-sectional studies addressing the risk factors or outcomes of addiction among adults and different sexes were prevalent during the first period (1997-2012), while interest moved to the addictive behavior of adolescents and students during the second period (2013-2017). Research during the third period (2018-2022) was driven by smartphone and social media addiction, and resilience as a preventive factor garnered more research interest than previously studied risk factors, which may indicate a perspective change by researchers. Implications are suggested for future investigations of digital addiction.
Keyphrases
- social media
- risk factors
- health information
- public health
- healthcare
- cross sectional
- high resolution
- young adults
- randomized controlled trial
- emergency department
- machine learning
- systematic review
- adipose tissue
- type diabetes
- mass spectrometry
- skeletal muscle
- depressive symptoms
- single cell
- glycemic control
- social support
- current status
- weight loss