Suchergebnisse

Purpose The purpose of this study was to investigate the relationship between obesity and internet addiction in first-year university students (aged 18-25 years). Design The study was designed using a cross-sectional analytic model. Setting Data collection took place at Dokuz Eylul University, involving a diverse group of first-year students from different faculties. Subjects The study population comprised 12,365 students, with 2890 individuals selected using cluster sampling. Measures Internet addiction was evaluated using the Online Cognition Scale (OCS). Data on obesity-related variables and demographic details were collected through a questionnaire. Descriptive statistics, chi-square analysis, t test, and ANOVA were applied for statistical evaluation. Results The study included 2105 participants, with 43.8% males and 56.2% females. A significant positive correlation was found between body mass index (BMI) and OCS scores ( P = .000), indicating a higher prevalence of internet addiction among individuals with higher BMI. Males had higher mean OCS scores (91.19 ± 35.14) than females (80.21 ± 30.51) ( P = .00). Overweight and obese individuals exhibited higher scores on OCS sub-dimensions ( P < .005). Notably, individuals with a BMI over 25 were categorized as overweight, and those with a BMI over 30 were classified as obese. Conclusions The findings demonstrate a noteworthy relationship between internet addiction and obesity among university students. The study emphasizes the necessity of increased attention to this issue in Turkey for the implementation of effective interventions and preventive measures.

AbstractDepression and Internet addiction are common public health problems among adolescents. Previous literature has examined this association, but its underlying mechanisms remain unclear. The present study aims at identifying the influencing mechanisms of this association by constructing a moderated mediation model focusing on social withdrawal and school belonging. A sample of 616 Chinese middle and high school adolescents are surveyed regarding Internet addiction, depression, social withdrawal and school belonging. The Macro PROCESS was used to examine the proposed theoretical model. Results reveal that social withdrawal partially mediates the nexus between Internet addiction and adolescent depression. In addition, school belonging significantly moderates the association of social withdrawal with adolescent depression. These findings may guide future prevention and intervention strategies for depressed teenagers affected by Internet addiction.

We investigated the longitudinal associations among relative deprivation, maladaptive cognition, and internet addiction in Chinese university students. We gave 912 university students assessments at four time points (every 6 months) over the first 2 years of their enrollment at college.
Cross-lagged panel analysis revealed the presence of positive correlations among relative deprivation, maladaptive cognition, and internet addiction. Moreover, these associations were dynamic and bidirectional across the four time points. Furthermore, maladaptive cognition played a bidirectional
mediating role in the association between relative deprivation and internet addiction across the time points. Relative deprivation and internet addiction appeared to generate a positive feedback loop, which formed a vicious cycle. The exaggeration of the advantages of using the internet may
lead to internet addiction, while an exaggeration of one's supposedly disadvantaged circumstances may lead to increased relative deprivation.

The internet was originally used for military purposes to facilitatecommunication. However, commercialization leads to worldwide internet use.The demand for the internet is increasing and numerous studies have beenpublished regarding the pathological use of the internet or internet addiction.This study aimed to investigate internet addiction as a predictor of functionalimpairment in young adults. A total of 257 young adults participated and filledout a self-report questionnaire including Internet Addiction Test (IAT) and WeissFunctional Impairment Rating Scales Self-Report (WFIRS-S). There were 161(62.6%) females and 96 (37.4%) males. The participants' ages range were from18 years old to 24 years old (M=20.25, SD= 2.08). Pearson correlation wasconducted to examine the relationship between Internet Addiction (Salience,Excessive Use, Neglect Work, Anticipation, Lack of Control, and Neglect SocialLife) and Functional Impairment (Family, Work, School, Life Skills, Self-Concept,Social, and Risky Activities). The result shows that there were significant positivecorrelations among variables at N=257, p < .05 except between self-conceptand neglect social life. Multiple regression analyses were also utilized to findpredictors of Functional Impairment (FI) in terms of Internet Addiction (IA).Regression results suggest that IA variables namely: Salience, Neglect Work,Lack of Control, and Neglect Social Life are possible predictors of FI in theFamily, Work, School, Self-Concept, Social and Risk. However, no evidence wasfound in excessive use and anticipation of using the internet to functionalimpairment. In addition, the result has shown that life skills are not associatedwith any of the predictors.

The relevance of the research lies in the fact that the World Wide Web actively captures the entire global system of socio-economic and political relations. The number of network users is growing dynamically. The high-end population segments are youth and adolescents; nowadays they manifest both positive and negative trends in their development. One of such trends is the internet addiction disorder, which has been studied actively by the scientific community in recent years. However, the diagnostics of adolescent behavior in networks is studied insufficiently. Therefore, the authors set the task of developing a model that allows the detection of risks of the emergence and further growth of Internet addiction in adolescence. This is the indicator model, which includes a set of indicators (indexes) of a predominantly social nature. The paper also gives a brief overview of the methods of studying non-chemical dependencies and substantiates the approach to the formation of an indicator model for measuring the risks of the emergence of Internet addiction, developed by the Department of Sociology and Social Technologies of the Cherepovets State University. The paper presents the results of a sociological study conducted based on the developed model, which demonstrate the heuristic possibilities of the methodology. The materials of the paper are of significant interest to sociologists, psychologists, teachers and other professionals of humanitarian knowledge.