A Bibliometric Analysis to Identify Research Trends in Intervention Programs for Smartphone Addiction

Int J Environ Res Public Health. 2023 Feb 21;20(5):3840. doi: 10.3390/ijerph20053840.

Abstract

Smartphone addiction is a serious social problem that necessitates research. To identify trends in intervention programs for smartphone addiction, distribution of research topics, and inter-relationships in academic research. We analyzed 104 studies published between 30 June 2022, and 31 August 2022, on the Web of Science (WoS). We applied the bibliometric method and identified the relationship and development trends of academic research in the field using descriptive analysis, the Latent Dirichlet Allocation (LDA), co-citation analysis, bibliographic coupling, and co-occurrence. There were four findings: First, intervention programs are classified into 10 types: psychological, social support, lifestyle, technological, family, medical care, educational, exercise, mindfulness, and meditation. Second, the volume of research on intervention programs increased every year. Third, China and South Korea had the highest research involvement. Finally, academic studies were split into either the human behavior or social science categories. Most of them defined the symptoms in terms of individual behavior and social relations, implying that smartphone addiction is not yet recognized as a disorder. Smartphone addiction has not yet been internationally recognized as a disorder, despite its impact on human physiology, psychology, and social behavior. Most related studies have been conducted in Asia, specifically in China and South Korea; Spain has the most outside Asia. Additionally, most of the research subjects were students, probably because of the convenience of sampling. As smartphones gain popularity among older adults, future studies could focus on smartphone addiction among individuals of varied ages.

Keywords: LDA; bibliometric analysis; intervention program; research trend; smartphone addiction.

Publication types

  • Review
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Aged
  • Behavior Therapy
  • Behavior, Addictive*
  • Bibliometrics
  • Exercise
  • Humans
  • Internet Addiction Disorder*
  • Smartphone
  • Social Behavior

Grants and funding

This research was partial funded by the National Science and Technology Council, Taiwan.