Temporal associations between problematic use of the internet and self-stigma among people with substance use disorders: A cross-lagged model across one year

I. Hua Chen, Kun Chia Chang, Ching Wen Chang, Shih Wei Huang, Marc N. Potenza, Amir H. Pakpour, Chung Ying Lin

Research output: Contribution to journalArticlepeer-review

22 Citations (Scopus)

Abstract

Self-stigma is a common experience for people with substance use disorders (SUDs). Understanding factors associated with self-stigma may aid in intervention development. This study investigated the reciprocal relationship between three types of problematic use of the internet [PUI; i.e. problematic use of social media (PUSM), problematic smartphone use (PSPU), and problematic gaming (PG)] and self-stigma among people with SUDs. This longitudinal study involved five waves of a survey given to individuals with SUDs in Taiwan. A total of 319 participants (85% male), with a mean age of 42.2 years (SD = 8.9), were recruited. The Smartphone Application-Based Addiction Scale, Bergen Social Media Addiction Scale, Internet Gaming Disorder-Short Form, and Self-Stigma Scale-Short Form were used. No significant associations between PUI and self-stigma were found in early waves (i.e., Waves 1 and 2). The earliest significant finding was identified between Wave 2 PSPU (smartphone) and Wave 3 self-stigma. Additionally, Wave 3 PSPU (smartphone) and PG (gaming) were associated with Wave 4 self-stigma, and Wave 4 PSPU (smartphone), PG (gaming), and PUSM (social media) were associated with Wave 5 self-stigma. Therefore, all three types of PUI (internet) may elevate self-stigma at different time points for individuals with SUDs. However, the reciprocal effects between self-stigma and PUI (internet) only occurred in PUSM (social media) at a later stage (i.e., from Wave 4 to Wave 5). In conclusion, people with SUDs who have PUI (internet) are at increased likelihood of developing more self-stigma, which may then increase subsequent PUSM (social media), forming a vicious cycle.

Original languageEnglish
Pages (from-to)339-348
Number of pages10
JournalJournal of Psychiatric Research
Volume156
DOIs
Publication statusPublished - 2022 Dec

All Science Journal Classification (ASJC) codes

  • Psychiatry and Mental health
  • Biological Psychiatry

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