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Longitudinal studies are also widely used in other medical and social science fields. For instance, in cardiovascular research, they can monitor patients' health over decades to identify risk factors for heart disease, such as high cholesterol or smoking, and evaluate the long-term effectiveness of preventive measures. Similarly, in mental health studies, researchers might follow individuals from adolescence into adulthood to understand the development and progression of conditions like...
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Problematic Internet Use: A longitudinal study evaluating prevalence and predictors.

Megan A Moreno1, Jens Eickhoff2, Qianqian Zhao2

  • 1Department of Pediatrics, University of Wisconsin-Madison.

The Journal of Pediatrics: X
|July 26, 2021
PubMed
Summary
This summary is machine-generated.

Problematic Internet Use (PIU) affects college students, with prevalence around 9-11% over four years. Past PIU status is the strongest predictor, and a PRIUSS score of 15 indicates intermediate risk.

Keywords:
adolescentscohort studyinternet addictionlongitudinalscale developmentscreeningtechnology

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Area of Science:

  • Psychology
  • Public Health
  • Digital Health

Background:

  • Problematic Internet Use (PIU) is a growing concern among college students.
  • Understanding the prevalence and predictors of PIU is crucial for developing effective interventions.

Purpose of the Study:

  • To assess the prevalence and predictors of PIU over four years using the Problematic and Risky Internet Use Screening Scale (PRIUSS).
  • To identify an intermediate risk score on the PRIUSS.

Main Methods:

  • A 4-year longitudinal cohort study involving random selection from two colleges.
  • Yearly PRIUSS administration to assess PIU.
  • Multivariate logistic regression to identify predictors of PIU.
  • Receiver operating curve (ROC) analysis to determine the intermediate risk PRIUSS score.
  • Markov modeling to analyze PIU risk state dynamics over time.

Main Results:

  • PIU prevalence ranged from 9% to 11% annually among 319 participants (56% female, 75% Caucasian).
  • Previous PIU status was the strongest predictor of current PIU (OR=24.1).
  • An intermediate risk PRIUSS score was identified as 15 via ROC analysis.

Conclusions:

  • PIU risks are persistent across different groups and over time in college students.
  • The most significant predictor of PIU is prior risk status.
  • A PRIUSS score of 15 is proposed as an intermediate risk cut-off for early identification and intervention.