Social anhedonia affects the trajectory of internet addiction in the college students: A latent growth curve analysis

J Affect Disord. 2023 Apr 1:326:83-88. doi: 10.1016/j.jad.2023.01.039. Epub 2023 Jan 28.

Abstract

Background/aim: There is growing awareness that anhedonia plays a critical role in the development of Internet Addictions (IA). However, anhedonia is a multidimensional construct and different aspects of anhedonia may exert different effects on IA. This study was designed to distinguish the effects of social anhedonia and physical anhedonia on the developmental trajectory of IA among college students.

Methods: A total of 3577 Chinese college freshmen (Mage = 18.01, SD = 0.77; 65.4 % girls) participated in a 2-year, four waves longitudinal tracking study. The latent growth curve model (LGCM) was constructed to examine the impacts of different types of anhedonia on the developmental trajectories of IA. Gender was also added to the conditional LGCM as time-invariant variable.

Results: The results of unconditional LGCM showed a U-shape developmental trajectory of IA. Social anhedonia significantly affected the intercept (β = 0.468, p < 0.001) and significantly affected the linear slope (β = -0.259, p < 0.05), but not the quadratic slope (β = 0.293, p > 0.05). Physical anhedonia was not significantly associated with intercept, linear slope and quadratic slope. There was no sex difference in both initial levels and change rate of IA.

Conclusions: Social anhedonia while not physical anhedonia has prediction effect on IA. College students with high levels of social anhedonia experienced high levels of IA at baseline, and performed a slower rate in downward trend of IA. The findings of the current study provide implications for prevention of IA in college students.

Keywords: Internet addiction; Latent growth curve model; Physical anhedonia; Social anhedonia.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adolescent
  • Anhedonia*
  • Behavior, Addictive* / epidemiology
  • Female
  • Humans
  • Internet
  • Internet Addiction Disorder
  • Male
  • Students
  • Universities