Personality structure assessment of people with opiate addiction and people with internet addiction disorder DOI Creative Commons

Miroslav Milinović,

Vesna Tepšič-Ostojić

Naucni casopis urgentne medicine - Halo 194, Год журнала: 2024, Номер 30(3), С. 101 - 109

Опубликована: Янв. 1, 2024

Introduction/Objective Problematic internet use is a psychophysical disorder that involves withdrawing from social interactions, buildup of tolerance, affective disturbances and pathological relationships. Neurobiological pharmacological data suggest similarities between the pathophysiology opiate addiction gambling. The objective this research was to compare sociodemographic characteristics people with Internet Addiction Disorder, who are addicted opiates control group. Based on Big Five model, psychological psychopathological then compared determine their expression levels in all three groups. Methodology carried out as cross-sectional clinical study based methodological approach included applying comparative methodology, using assessment scales psychiatric battery tests for personality assessment. sample 300 subjects: 100 subjects addiction, showing symptoms Results results indicate traits such empathy, extroversion, pleasantness, conscientiousness, openness cooperation expressed lesser extent Disorder Conclusion obtained serve should be diagnostic category behavioural addictions.

Язык: Английский

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

Aroonmalini Boruah,

Marc L. Cormier,

Nichole Murray

и другие.

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

Опубликована: Янв. 8, 2025

Язык: Английский

Процитировано

0
What Personality Dimensions May Influence the Risk of Smartphone Addiction in Children? DOI Creative Commons
Stella Conte,

Carla Ghiani,

Lorenzo Casati

и другие.

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

Процитировано

0
La dipendenza da dispositivi elettronici nei bambini e negli adolescenti DOI

Chiara Tessa,

M Giannessi,

Stefano Berloffa

и другие.

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

Процитировано

0
From family social support to problematic internet use: a serial mediation model of hostility and depression DOI Creative Commons
Caner DOĞRUSEVER, Mehmet Bilgin

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

Процитировано

0
AI-Driven Digital Well-being: Developing Machine Learning Model to Predict and Mitigate Internet Addiction DOI

Shajahan Wahed,

Mutaz Abdel Wahed

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

Процитировано

0
AI-Driven Digital Well-being: Developing Machine Learning Model to Predict and Mitigate Internet Addiction DOI

Shajahan Wahed,

Mutaz Abdel Wahed

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

Процитировано

0
PODER DOENTIOS DOI Creative Commons
Ednaldo Antônio da Silva,

Alexander Denisov,

Claudeny Barbosa Spinelli

и другие.

Brazilian Journal of Implantology and Health Sciences, Год журнала: 2024, Номер 6(11), С. 4353 - 4392

Опубликована: Ноя. 30, 2024

INTRODUÇÃO: A violação aos Direitos Humanos no campo cibernético é um dos maiores desafios das instituições democráticas. OBJETIVO: analisar, a partir produções científicas, em que medida comunicação usada garantia (promoção da efetivação) e/ou fragilização e cibercidadania. METODOLOGIA: Revisão Integrativa de consultas nas bases dados: BVS, PubMed, Medline Lilacs período janeiro setembro 2024. Os Descritores foram utilizados individualmente ou combinados. Foram resgatados n=348 publicações, após leitura exaustiva títulos resumos, selecionadas n=38 artigos publicados completos sobre temática disponíveis gratuitamente. Após aplicação critérios inclusão exclusão, n=26 estudos selecionados para serem lidos na íntegra. esses procedimentos, selecionaram-se n=13 trabalhos com enfoque resposta à questão norteadora, adequação do conteúdo empregado subsidiar estruturação desta revisão integrativa. RESULTADOS: O crowdfunding pode perpetuar injustiças não intencionais, especialmente aquelas decorrentes fatores socioeconômicos. gênero feminino, crianças, negros, refugiados, LGBTTs são os mais afetados. Pessoas demonstram altos níveis tétrade sombria (narcisismo, psicopatia, maquiavelismo sadismo) diminuem gravidade abuso redes sociais online o narcisismo sadismo propensos culpar vítima; as atitudes antipáticas sustentados pela propensão ideologia sexista hostil benevolente elevado. deepfake, fake news, cyber-agressão/cyberbullying, cyberstalking. podem causar às vítimas, depressão, baixa autoestima, ansiedade, agressividade, medo outros sentimentos negativos. Educação digital fortalece trabalho sistemático construção autoestima resultante senso ético, postura respeito diferenças individuais. CONCLUSÕES: crimes cibernéticos resultantes desigualdades afetam todos apresentam características físicas, psicológicas, sexual, moral institucional. Esses estereótipos enraizados levando marginalização exclusão grupos se encaixam, e/ou, adaptam padrões. facilita diálogo construtivo formação consensos necessários democracia.

Процитировано

0
Persuasive strategies in digital interventions to combat internet addiction: A systematic review DOI Creative Commons
Yansen Theopilus, Abdullah Al Mahmud, Hilary Davis

и другие.

International Journal of Medical Informatics, Год журнала: 2024, Номер 195, С. 105725 - 105725

Опубликована: Дек. 16, 2024

Язык: Английский

Процитировано

0
Is There a Long-Term Link Between Digital Media Use and Adolescent Headaches? A Longitudinal School-Based Study DOI Creative Commons

Clarissa Humberg,

Verena Neß, Lisa‐Marie Rau

и другие.

Children, Год журнала: 2024, Номер 11(12), С. 1549 - 1549

Опубликована: Дек. 20, 2024

Background/Objectives: The use of digital media, and especially social has been increasing over recent years. Previous research reported a negative impact media on headaches; however, most these studies are cross-sectional. Therefore, we conducted longitudinal study to explore the relationship between different types usage (watching videos, gaming, media) headache frequency intensity time. Methods: School-aged children from five German schools completed assessments 2017 2018. In total, N = 575 (72.9% female; Mage 13.3, SDage 1.86) adolescents reporting consistent headaches across all were analyzed. Multilevel linear modeling was used assess relationships Results: There only minor associations or frequency. Notably, high linked with worse (t(1989) 4.109, p < 0.001). Conclusions: seems be less harmful than previous might suggest. We believe that increased time spent consuming should not considered risk factor for pain conditions but rather helpful resource management.

Язык: Английский

Процитировано

0
Personality structure assessment of people with opiate addiction and people with internet addiction disorder DOI Creative Commons

Miroslav Milinović,

Vesna Tepšič-Ostojić

Naucni casopis urgentne medicine - Halo 194, Год журнала: 2024, Номер 30(3), С. 101 - 109

Опубликована: Янв. 1, 2024

Introduction/Objective Problematic internet use is a psychophysical disorder that involves withdrawing from social interactions, buildup of tolerance, affective disturbances and pathological relationships. Neurobiological pharmacological data suggest similarities between the pathophysiology opiate addiction gambling. The objective this research was to compare sociodemographic characteristics people with Internet Addiction Disorder, who are addicted opiates control group. Based on Big Five model, psychological psychopathological then compared determine their expression levels in all three groups. Methodology carried out as cross-sectional clinical study based methodological approach included applying comparative methodology, using assessment scales psychiatric battery tests for personality assessment. sample 300 subjects: 100 subjects addiction, showing symptoms Results results indicate traits such empathy, extroversion, pleasantness, conscientiousness, openness cooperation expressed lesser extent Disorder Conclusion obtained serve should be diagnostic category behavioural addictions.

Язык: Английский

Процитировано

0