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Internet Behavior Preferences Predict Pathological Internet Use: A Latent Profile Analysis.

Jiangtao Chen1, Jinmeng Liu2, Gai Zhao3

  • 1Research Center of Brain and Cognitive Neuroscience, Liaoning Normal University, Dalian, China.

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|June 21, 2021
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Summary
This summary is machine-generated.

This study identified four types of pathological Internet use (PIU) in college students using latent profile analysis. Findings suggest tailoring prevention efforts to individual differences in PIU patterns.

Keywords:
Internet behavior preferencecollege studentslatent profile analysispathological Internet useperson-centered approach

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Area of Science:

  • Psychology
  • Behavioral Science
  • Digital Health

Background:

  • Pathological Internet Use (PIU) research is debated, with a person-centered approach yielding mixed results.
  • Understanding distinct PIU profiles is crucial for effective intervention strategies.

Purpose of the Study:

  • To identify and characterize different types of pathological Internet use (PIU) in a large college student sample.
  • To explore psychological predictors associated with different PIU profiles.

Main Methods:

  • Latent Profile Analysis (LPA) was employed on data from 1,400 college students (aged 17-25).
  • Data included demographics, PIU measures, and Internet behavior preferences.
  • Regression analyses identified psychological predictors of PIU class membership.

Main Results:

  • Four distinct PIU classes were identified: pathological users, pathological-tendency users, preferential users, and ordinary Internet users.
  • Lower preferences for Internet gaming and communication were associated with non-pathological PIU groups compared to pathological users.
  • Significant psychological predictors differentiated the identified PIU classes.

Conclusions:

  • Latent profile analysis successfully categorized college students into distinct PIU profiles.
  • Individual differences in PIU patterns and preferences are evident.
  • Personalized prevention and intervention strategies for PIU should consider these identified student typologies.