The relationship between dissociation symptoms, sleep disturbances, problematic internet use and online gaming in adolescents

2021 ◽  
pp. 1-12
Author(s):  
Ummugulsum Gundogdu ◽  
Mehtap Eroglu
2020 ◽  
Vol 14 (1) ◽  
pp. 45-60
Author(s):  
Yashinta Yashinta ◽  
Dwi Hurriyati

This study aims to determine the relationship of loneliness with problematic internet use on boarding students on Silaberanti street in Siantan jaya Opposite Ulu 1 Palembang city. Research subjects numbered 220 people using random sampling methods. Data was collected using a 60 item problematic internet use scale and a 60 item loneliness. Realibility is generated on scale of problematic internet use of 0,955 and loneliness of 0,946.Hypothesis testing uses product moment correlation analysis techniques. Hypothesis test results showed a positive relationshif between loneliness with problematic internet use on boarding students on Silaberanti street in Siantan jaya Opposite Ulu 1 Palembang city r= 0,684 with a significance level of 0,000 (p<0,01). Loneliness in this study made an effective contribution of 46,8% to problematic internet use which can be seen from the coefficient of determination (r²) that is equel to 0,468.


Author(s):  
Aneke Dewi Rahayu ◽  
Ari Prasetyoaji

Individuals with Problematic Internet Use (PIU) who use the internet excessively, it gave the causes of the difficulties to control using the internet and bad impact of physical and mental disorder.   The research aims to show the relationship among biological, psychological, and social factors with PIU so it can be created some relation model which explain about this phenomenon. Simple random sampling is a sampling technique used of this research. Subjects used of this research were 403 individuals who were in the age of emerging adulthood. Data collection method used in this research is PIU and bio psychosocial scale which consists of three parts are biology, psychology, and social. Based on the data processing, a relationship model among biology, psychology, social, and PIU where the relationship model has a chi square score of 0.102 with a probability score of 0.061, a CMIN / DF score of 1.518, a GFI of 0.919, an AGFI of 0.971, a CFI equal to 1.00, TLI of 0.90, and the score of RMSEA 0.072 so the model was proposed as strong and acceptable category. The model shows strongest relationship is the relationship between social and PIU was 0.47, psychology with PIU was 0.22, and biology with PIU was 0.12.


Author(s):  
Laura Widyanto ◽  
Mark Griffiths

Previous research has alluded to the existence of a relationship between self-esteem and problematic Internet use. The main aim of the study was to examine the relationship between problematic Internet use and a number of distinct demographic, behavioural, and psychosocial variables. Using an online survey, a self-selected sample comprising 1,467 Internet users participated in the study. The survey comprised 50 questions including validated scales for both self-esteem (Rosenberg’s Self-Esteem Scale) and problematic Internet use (Internet Related Problem Scale; IPRS) in addition to demographic information. Based on previous literature, it was hypothesized that problematic Internet users were more likely than non-problematic Internet users to post low self-esteem scores. Results showed that self-esteem was strongly and negatively associated with IRPS. Also, for those with high IRPS scores, participation in online forums was the primary online activity followed by online gaming and chatting. Although the study comprised a self-selecting sample and utilized self-report, the results appear to provide robust evidence of an association between self-esteem and problematic Internet use mirroring prior research in the area.


2016 ◽  
Vol 241 ◽  
pp. 66-71 ◽  
Author(s):  
Tae Kyung Lee ◽  
Sungwon Roh ◽  
Joo Hyun Han ◽  
Se Jin Park ◽  
Min A Soh ◽  
...  

2019 ◽  
Author(s):  
Anita Restrepo ◽  
Tohar Scheininger ◽  
Jon Clucas ◽  
Lindsay Alexander ◽  
Giovanni Salum ◽  
...  

Abstract Background Problematic internet use (PIU) is an increasingly worrisome issue, as youth population studies are establishing links with internalizing and externalizing problems. There is a need for a better understanding of psychiatric diagnostic profiles associated with this issue, as well as its unique contributions to impairment. Here, we leveraged the ongoing, large-scale Child Mind Institute Healthy Brain Network, a transdiagnostic self-referred, community sample of children and adolescents (ages 5-21), to examine the associations between PIU and psychopathology, general impairment, physical health and sleep disturbances.Methods A total sample of 564 (190 female) participants between the ages of 7-15 (mean = 10.80, SD = 2.16), along with their parents/guardians, completed diagnostic interviews with clinicians, answered a myriad of self-report questionnaires, and underwent physical testing as part of the Healthy Brain Network protocol.Results PIU was positively associated with depressive disorders (aOR = 2.34; CI: 1.18-4.56; p = .01), the combined subtype of ADHD (aOR = 1.79; CI: 1.08-2.98; p = .02), greater levels of impairment (Standardized Beta = 4.79; CI: 3.21-6.37; p < .01) and increased sleep disturbances (Standardized Beta = 3.01; CI: 0.58-5.45; p = .02), even when accounting for demographic covariates and psychiatric comorbidity.Conclusions The association between PIU and psychopathology, as well as its impact on impairment and sleep disturbances, highlight the urgent need to gain an understanding of mechanisms in order to inform public health recommendations on internet use in U.S. youth.


Sign in / Sign up

Export Citation Format

Share Document