From family social support to problematic internet use: a serial mediation model of hostility and depression

BMC Psychology, Год журнала: 2025, Номер 13(1)

Опубликована: Фев. 28, 2025

Internet usage has become an inevitable part of daily life. Adolescents who are developmentally vulnerable due to family dynamics or suffer psychological distress at greater risk problematic use. This study aims reveal the intricate pathways linking social support use among adolescents and mediating roles hostility depression. The uses serial mediation analyses Hayes PROCESS macro examine a large sample 2,047 (1,182 females 865 males). Results revealed significant negative association between Both depression were found be critical mediators, functioning independently sequentially in relationship findings highlight protective role against by reducing depressive symptoms. investigation contributes extant literature elucidating mechanisms underlying It suggests that interventions targeting systems, feelings hostility, may effectively mitigate adolescent populations.

Язык: Английский

---

AI-Driven Digital Well-being: Developing Machine Learning Model to Predict and Mitigate Internet Addiction

LatIA, Год журнала: 2025, Номер 3, С. 134 - 134

Опубликована: Март 1, 2025

Background: Internet addiction has become a major public health issue due to the increased dependence on digital technology, affecting mental and overall well-being. Artificial intelligence (AI) offers innovative approaches predicting mitigating excessive internet use. Objective: This study aims develop evaluate AI-driven machine learning models for by analyzing behavioral patterns psychological indicators. Methods: Open-access datasets from “Kaggle”, such as “Smartphone Usage Data” “Social Media Mental Health”, were analyzed using deep models, including Random Forest, XGBoost, Neural Networks, Natural Language Processing (NLP) techniques. Model performance was assessed based accuracy, precision, recall, F1-score, AUC-ROC. Results: Networks XGBoost achieved highest accuracy (91% 90%, respectively), surpassing traditional like Logistic Regression SVM. Clustering anomaly detection techniques provided further insights into user behavior, while NLP revealed emotional thematic associated with addiction. Conclusion: effectively predict classify addiction, offering scalable personalized interventions promote Future research should focus addressing ethical concerns improving real-time deployment of these models.

Язык: Английский

---

AI-Driven Digital Well-being: Developing Machine Learning Model to Predict and Mitigate Internet Addiction

LatIA, Год журнала: 2025, Номер 3, С. 73 - 73

Опубликована: Март 3, 2025

Background: Internet addiction has become a major public health issue due to the increased dependence on digital technology, affecting mental and overall well-being. Artificial intelligence (AI) offers innovative approaches predicting mitigating excessive internet use. Objective: This study aims develop evaluate AI-driven machine learning models for by analyzing behavioral patterns psychological indicators. Methods: Open-access datasets from “Kaggle”, such as “Smartphone Usage Data” “Social Media Mental Health”, were analyzed using deep models, including Random Forest, XGBoost, Neural Networks, Natural Language Processing (NLP) techniques. Model performance was assessed based accuracy, precision, recall, F1-score, AUC-ROC. Results: Networks XGBoost achieved highest accuracy (91% 90%, respectively), surpassing traditional like Logistic Regression SVM. Clustering anomaly detection techniques provided further insights into user behavior, while NLP revealed emotional thematic associated with addiction. Conclusion: effectively predict classify addiction, offering scalable personalized interventions promote Future research should focus addressing ethical concerns improving real-time deployment of these models.

Язык: Английский

---

The moderating role of social media motives in the relationship between screen usage and cybervictimization

Child Abuse & Neglect, Год журнала: 2025, Номер 160, С. 107239 - 107239

Опубликована: Янв. 8, 2025

Язык: Английский

---

What Personality Dimensions May Influence the Risk of Smartphone Addiction in Children?

Children, Год журнала: 2025, Номер 12(3), С. 258 - 258

Опубликована: Фев. 20, 2025

Background: Smartphone usage in school-aged children has increased over the last two decades. This overuse interferes with emotion regulation and interpersonal relationships. The purpose of this work was to analyze relationship between smartphone addiction risk personality dimensions primary school children. Methods: aim research is verify percentage Addiction (SA) a sample explore SA. Risk Children Questionnaire (SARCQ) Big Five (BFC) questionnaire were administered (N = 94) Results: We found that, our sample, matching definition emotional smartphones 16% that subgroup using as transitional object represented 15% sample. correlations SARCQ BFC factors showed significant negative correlation “I’m not afraid you” (INAWY) factor Friendliness, Conscientiousness, Openness, showing low socialization capacities are prone use means handle internal states. In contrast, positive INAWY Emotional Instability been observed. For “Linus’s Blanket” (LB) factor, Friendliness Conscientiousness Conclusions: SA, “emotion-handling tools” or “transitional objects”, observed associated higher risk.

Язык: Английский

---

La dipendenza da dispositivi elettronici nei bambini e negli adolescenti

Medico e Bambino, Год журнала: 2025, Номер 44(02), С. 097 - 102

Опубликована: Фев. 24, 2025

Internet addiction and, more specifically, gaming disorder is a pathological condition, recently defined, particularly prevalent in adolescence. The article describes this form of behavioural by analysing its temporal roots, predisposing factors and clinical features; finally, it focuses on some advice that, conveyed the paediatrician, may reach families who feel need to limit their children’s use digital devices, intervening before full-blown structured.

Язык: Английский

---

Student Behavior and Its Association with Multi-Device Addiction and Back Pain in Western Romania

Balneo and PRM Research Journal, Год журнала: 2025, Номер 16(Vol 16 No. 1), С. 790 - 790

Опубликована: Март 31, 2025

The rapid development of modern technologies has brought enormous benefits to today's society in all areas life. On the one hand, they have a positive effect on people's relationships, learning, and development. other incorrect use electronic devices can cause health damage serious problems. In recent years, digital increased among students, highlighting problem addiction. This study aimed observe problems spinal pain associated with mobile phones by students schools find constructive solutions turn into an effective learning tool be used only classroom. method this was apply questionnaires sample 506 from Arad County. results showed that group are addicted internet social networks, also confirmed some them cannot experience without sacrificing their physical mental health. conclusion, educational policy measures combat addiction urgently needed worldwide. Schools should implement comprehensive literacy programs educate about risks excessive promote healthy online behaviors.

Язык: Английский

---

Is Physical activity associated with lower risk of social network problematic use or addiction? A systematic review and meta-analysis

Complementary Therapies in Clinical Practice, Год журнала: 2025, Номер 60, С. 101995 - 101995

Опубликована: Апрель 19, 2025

Язык: Английский

---

Internet and Smartphone Addiction: Characteristics, Impacts, Diagnosis, and Treatment

Опубликована: Янв. 1, 2025

Язык: Английский

---

Recommendations for Physical Exercise as a Strategy to Reduce Problematic Use of the Internet and Digital Devices: A Perspective

International Journal of Environmental Research and Public Health, Год журнала: 2025, Номер 22(5), С. 753 - 753

Опубликована: Май 10, 2025

Excessive use of the Internet and digital devices has become a growing public health concern, contributing to mental issues, sedentary lifestyles, decreased well-being. Despite increasing prevalence overuse, there is no consensus on effective interventions mitigate its impact. This article aimed provide an updated perspective current research into problematic Internet, explore potential physical exercise as key strategy in prevention treatment programs at reducing such use. Based two previous objectives, this study also author-informed recommendations for detox interventions, supporting inclusion regular exercise, particularly outdoor natural environments, central component programs. Thirteen be included core parts are suggested: (a) type selected according participant's motivations, (b) intensity volume adapted characteristics, (c) avoidance during (d) duration ≥12 weeks ≥3 days/week, (e) integration other activities more active lifestyle, (f) enhancement main goal, (g) collaborative competitive sports, (h) awareness improvements through feedback information, (i) mindful activities, (j) especially (k) conducted by multidisciplinary teams, (l) assessments using validated tests scales, (m) evaluation long-term effects. In summary, supports offering intervention designs enhancing overall well-being individuals who have developed maladaptive patterns device

Язык: Английский

---