Comprehensive Summary
This study looks at the extent to which anxiety and metacognitive beliefs influence smartphone use and addiction among college students. To gather data, the researchers used a survey to assess the levels of anxiety from different parts of the participants’ lives. A multilayer perceptron (MPL) Artificial Neural Network (ANN) model was contrasted to analyze the data. In the results, the study found that negative metacognition was the strongest indicator of smartphone addiction. In contrast, academic anxiety did not show any effects on smartphone addiction. In the discussion, the authors talked about how negative metacognition was the critical mechanism to smartphone addiction, suggesting that future interventions should focus on how people think about their thoughts. The authors also noted some of the limitations of the study such as the fact that the study relied on surveys. For future studies, the authors suggest more objective data collection methods such as track smartphone usage.
Outcomes and Implications
This research provides important insight into the relationship between smartphone addiction and anxiety. In terms of potential clinical implementation, this research provides a basis for developing future metacognitive interventions for smartphone addiction. The findings also suggest that current treatments such as metacognitive therapy could help with smartphone addiction. Further, this study also provides a basis for the use of more complex non-linear models to analyze relationships between behavioral variables, paving the way for future use of such models to better understand predictors of psychiatric conditions.