The impact of digital technology addiction on mental health and well-being

Abstract

Addiction to digital technology has become a major issue in modern culture, affecting mental health and wellbeing in a variety of intricate ways. On the one hand, excessive screen time and technology use can cause a number of negative effects, such as worsening attention-deficit symptoms, lowering social and emotional intelligence, developing a technology addiction, and isolating oneself from others. Notable side effects include disturbed sleep patterns and a deterioration in psychological well-being, which are made worse by less social interactions, a rise in hopelessness and loneliness, and a drop in selfworth. Moreover, there is a negative relationship between internet addiction and subjective well-being, which includes good emotions and life satisfaction. The significance of processing capacity, data storage, and reliable networking gear as hardware requirements for managing sizable datasets and executing complex machine learning algorithms is highlighted by this study. The process includes gathering a lot of data via questionnaires, interviews, and surveys. Metrics like the F1 score are used in performance assessment and are especially useful for skewed datasets. The investigation of several machine learning models, such as Decision Trees, Support Vector Machines, K-Nearest Neighbors, Logistic Regression, Random Forest, Gradient Boosting, XGBoost, CatBoost, Neural Network, and XGBoost3, reveals the effectiveness of these models in predicting the impact of digital technology addiction on mental health. Of these, Gradient Boosting and Neural Network models demonstrated the highest accuracy in modeling the complex relationships between digital technology use and mental health outcomes. On the other hand, the study recognizes the potential for digital technology to influence behavioral issues and disorders, such as ADHD. This research offers insights into the possible advantages and disadvantages of using digital technology, as well as a thorough review of the effects of addiction to digital technology on mental health and wellbeing