The predictive effect of internet addiction and psychiatric disorders on traditional peer bullying

2020 ◽  
Vol 21 (0) ◽  
pp. 1 ◽  
Author(s):  
Serdar Karatoprak ◽  
Yunus Dönmez ◽  
Özlem Özcan
Keyword(s):  
Psychiatric Disorders ◽  
Internet Addiction ◽  
Peer Bullying ◽  
Predictive Effect

The bidirectional association between Internet addiction and depression: a large-sample longitudinal study among Chinese university students (Preprint)

2020 ◽  
Author(s):  
Wan-Jun Guo ◽  
Xia Yang ◽  
Yu-Jie Tao ◽  
Ya-Jing Meng ◽  
Hui-Yao Wang ◽  
...  
Keyword(s):  
Longitudinal Study ◽  
Internet Addiction ◽  
Causal Effects ◽  
Causal Relationships ◽  
Depression Severity ◽  
Large Sample ◽  
Panel Model ◽  
Bidirectional Association ◽  
Predictive Effect

BACKGROUND Evidence indicates that Internet addiction (IA) is associated with depression, but longitudinal studies have rarely been reported, and no studies have yet investigated potential common vulnerability or a possible specific causal relationship between these disorders. OBJECTIVE To overcome these gaps, the present 12-month longitudinal study based on a large-sample employed a cross-lagged panel model (CLPM) approach to investigate the potential common vulnerability and specific cross-causal relationships between IA and CSD (or depression). METHODS IA and clinically-significant depression (CSD) among 12 043 undergraduates were surveyed at baseline (as freshmen) and in follow-up after 12 months (as sophomores). Application of CLPM revealed two well-fitted design between IA and CSD, and between severities of IA and depression, adjusting for demographics. RESULTS Rates of baseline IA and CSD were 5.47% and 3.85%, respectively; increasing to 9.47% and 5.58%, respectively at follow-up. Among those with baseline IA and CSD, 44.61% and 34.48% remained stable at the time of the follow-up survey, respectively. Rates of new-incidences of IA and CSD over 12 months were 7.43% and 4.47%, respectively. Application of a cross-lagged panel model approach (CLPM, a discrete time structural equation model used primarily to assess causal relationships in real-world settings) revealed two well-fitted design between IA and CSD, and between severities of IA and depression, adjusting for demographics. Models revealed that baseline CSD (or depression severity) had a significant net-predictive effect on follow-up IA (or IA severity), and baseline IA (or IA severity) had a significant net-predictive effect on follow-up CSD (or depression severity). CONCLUSIONS These correlational patterns using a CLPM indicate that both common vulnerability and bidirectional specific cross-causal effects between them may contribute to the association between IA and depression. As the path coefficients of the net-cross-predictive effects were significantly smaller than those of baseline to follow-up cross-section associations, vulnerability may play a more significant role than bidirectional-causal effects. CLINICALTRIAL Ethics Committee of West China Hospital, Sichuan University (NO. 2016-171)

The association between Internet addiction and psychiatric disorder: A review of the literature

2012 ◽  
Vol 27 (1) ◽  
pp. 1-8 ◽  
Author(s):  
C.-H. Ko ◽  
J.-Y. Yen ◽  
C.-F. Yen ◽  
C.-S. Chen ◽  
C.-C. Chen
Keyword(s):  
Attention Deficit Hyperactivity Disorder ◽  
Substance Use ◽  
Anxiety Disorder ◽  
Psychiatric Disorders ◽  
Internet Addiction ◽  
The Other ◽  
Review Of The Literature ◽  
Research Directions ◽  
Hyperactivity Disorder ◽  
Pubmed Database

AbstractInternet addiction is a newly emergent disorder. It has been found to be associated with a variety of psychiatric disorders. Information about such coexisting psychiatric disorders is essential to understand the mechanism of Internet addiction. In this review, we have recruited articles mentioning coexisting psychiatric disorders of Internet addiction from the PubMed database as at November 3, 2009. We describe the updated results for such disorders of Internet addiction, which include substance use disorder, attention-deficit hyperactivity disorder, depression, hostility, and social anxiety disorder. We also provide discussion for possible mechanisms accounting for the coexistence of psychiatric disorders and Internet addiction. The review might suggest that combined psychiatric disorders mentioned above should be evaluated and treated to prevent their deteriorating effect on the prognosis of Internet addiction. On the other hand, Internet addiction should be paid more attention to when treating people with these coexisting psychiatric disorders of Internet addiction. Additionally, we also suggest future necessary research directions that could provide further important information for the understanding of this issue.

scholarly journals The Longitudinal Relationship between Internet Addiction and Depressive Symptoms in Adolescents: A Random-Intercept Cross-Lagged Panel Model

2021 ◽  
Vol 18 (24) ◽  
pp. 12869
Author(s):  
Xiaoyan Yi ◽  
Guangming Li
Keyword(s):  
Middle School ◽  
Depressive Symptoms ◽  
Middle School Students ◽  
Coping Strategies ◽  
Internet Addiction ◽  
School Students ◽  
Positive Coping ◽  
Panel Model ◽  
Random Intercept ◽  
Predictive Effect

Internet addiction and depressive symptoms are extremely common problems among teenagers, and the coping strategy has been proved to be closely related to internet addiction and depressive symptoms. Based on three waves of data from a sample of Chinese middle-school students (N = 1545, Mage = 14.88 years old, SD = 1.81; 55.00% females), this study examines the longitudinal relationship between internet addiction and depressive symptoms among adolescents ultilizing the random-intercept cross-lagged panel model. Results revealed a unidirectional predictive effect of depressive symptoms at T2 on internet addiction at T3, but not vice versa, the effect was more significant in the male group. Positive coping strategies had a significant negative predictive effect on the random intercept of internet addiction and depressive symptoms, while negative coping style had a significant positive predictive effect on the random intercept of internet addiction and depressive symptoms. Effective identification and intervention of depressive symptoms may be beneficial to the intervention and prevention for internet addiction, and we should pay attention to the cultivation of middle school students’ positive coping strategies.

scholarly journals Prevalence and patterns of psychiatric disorders in referred adolescents with Internet addiction

2013 ◽  
Vol 67 (5) ◽  
pp. 352-359 ◽  
Author(s):  
Hasan Bozkurt ◽  
Murat Coskun ◽  
Hamza Ayaydin ◽  
İbrahim Adak ◽  
S. Salih Zoroglu
Keyword(s):  
Psychiatric Disorders ◽  
Internet Addiction

scholarly journals Prevalence of Internet Addiction Disorder and Its Correlates Among Clinically Stable Adolescents With Psychiatric Disorders in China During the COVID-19 Outbreak

2021 ◽  
Vol 12 ◽  
Author(s):  
Zong-Lei Li ◽  
Rui Liu ◽  
Fan He ◽  
Shu-Ying Li ◽  
Yan-Jie Zhao ◽  
...  
Keyword(s):  
Physical Exercise ◽  
Psychiatric Disorders ◽  
Internet Addiction ◽  
Lower Risk ◽  
Psychiatric Patients ◽  
Multiple Logistic Regression Analysis ◽  
Cross Sectional Study ◽  
Cross Sectional ◽  
Internet Addiction Disorder ◽  
Mental Health Centers

Background: Since the Coronavirus disease 2019 (COVID-19) pandemic emerged, Internet usage has increased among adolescents. Due to this trend, the prevalence of Internet addiction disorder (IAD) may have increased within this group. This study examined the prevalence of IAD and its correlates among clinically stable adolescents with psychiatric disorders in China during the COVID-19 outbreak.Method: A multi-center, cross-sectional study was carried out between April 29 and June 9, 2020 in three major tertiary mental health centers in China. IAD and depressive symptoms were assessed using the Internet Addiction Test (IAT) and the 9-item Patient Health Questionnaire (PHQ-9), respectively.Results: A total of 1,454 adolescent psychiatric patients were included in final analyses. The prevalence of IAD was 31.2% (95% CI: 28.8–33.6%) during the COVID-19 pandemic. A multiple logistic regression analysis revealed that poor relationships with parents (P < 0.001, OR = 2.34, 95%CI: 1.49–3.68) and elevated total PHQ-9 scores (P < 0.001, OR = 1.19, 95%CI: 1.16–1.21) were significantly associated with higher risk for IAD while longer daily physical exercise durations (P = 0.04, OR = 0.67, 95%CI: 0.46–0.98) and rural residence (P = 0.003, OR = 0.62, 95%CI: 0.46–0.85) were significant correlates of lower risk for IAD.Conclusions: IAD was common among adolescent patients with clinically stable psychiatric disorders during the COVID-19 pandemic; regular physical exercise, healthy relationships with parents and fewer symptoms of depression were associated with lower risk within this population.

scholarly journals Relationship between Difficulty in Emotion Regulation and Internet Addiction in College Students: A One-Year Prospective Study

2020 ◽  
Vol 17 (13) ◽  
pp. 4766
Author(s):  
Jui-Kang Tsai ◽  
Wei-Hsin Lu ◽  
Ray C. Hsiao ◽  
Huei-Fan Hu ◽  
Cheng-Fang Yen
Keyword(s):  
College Students ◽  
Emotion Regulation ◽  
Early Intervention ◽  
Prospective Study ◽  
Internet Addiction ◽  
Impulse Control ◽  
Difficulties In Emotion Regulation ◽  
One Year ◽  
Predictive Effect

This prospective study evaluated the predictive effect of difficulty in emotion regulation on the occurrence and remission of Internet addiction (IA) and determined whether IA has a role in changing emotion regulation among college students during a follow-up period of 1 year. A total of 500 college students (262 women and 238 men) were recruited. In baseline and follow-up investigations, the levels of IA and difficulty in emotion regulation were evaluated using the Chen Internet Addiction Scale and the Difficulties in Emotion Regulation Scale (DERS), respectively. The results indicated that the subscale of impulse control difficulties on the DERS predicted the incidence of IA during the follow-up period of 1 year in male participants (t = −2.875, p = 0.005), whereas no subscale on the DERS predicted the remission of IA. IA did not predict the change in difficulties in emotion regulation. The subscale of impulse control difficulties on the DERS predicted the occurrence of IA in the college students and warrants early intervention.

Attention deficiency hyperactivity disorder and Internet addiction comorbidity: A case report

2017 ◽  
Vol 41 (S1) ◽  
pp. S468-S468
Author(s):  
Ö.Ç. Cenker ◽  
A.C. Ercan ◽  
D. Sarikaya Varlik ◽  
T. Uyar
Keyword(s):  
Psychiatric Disorders ◽  
Internet Addiction ◽  
Psychiatric Service ◽  
The Internet ◽  
Computer Gaming ◽  
Hyperactivity Disorder ◽  
Competing Interest ◽  
Use Of The Internet ◽  
Use Of Internet ◽  
First Time

IntroductionInternet addiction is a serious problem especially for children and adolescents. It is described by an individual's inability to control the Internet, which causes distress and functional impairment. Internet addiction symptoms can be Internet surfing, computer gaming, chatting and gambling by using Internet. Previous studies regarding Internet addiction can interfere with some psychiatric disorders; such as bipolar disorder, depression, anxiety or attention deficiency disorder (ADHD). Some researchers emphasized that psychiatric disorders and Internet addiction can be seen together and excessive use of the Internet has been associated with attention deficit hyperactivity disorder.Case19 years old male patient discussed in this paper who was admitted to our psychiatric service for the first time in his life, complaining about uncontrollable use of internet. He spent time more than 10 hours/day. His family finally opposed and took his computer from him, just before he got depressive symptoms. We diagnosed him ADHD by using psychometric tests and psychiatric evaluations. After medical therapy and psychotherapy, we discussed changes his psychiatric situations and symptoms.DiscussionThis case emphasized possible relationship between Internet addiction and symptoms of ADHD.Disclosure of interestThe authors have not supplied their declaration of competing interest.

scholarly journals Relationship between Internet addiction, susceptible personality traits, and suicidal and self-harm ideation in Chinese adolescent students

2020 ◽  
Vol 9 (3) ◽  
pp. 676-685
Author(s):  
Li Kuang ◽  
Wo Wang ◽  
Yan Huang ◽  
Xiaorong Chen ◽  
Zhen Lv ◽  
...  
Keyword(s):  
Suicidal Ideation ◽  
Personality Traits ◽  
Personality Trait ◽  
Internet Addiction ◽  
Eysenck Personality Questionnaire ◽  
School Type ◽  
Adolescent Students ◽  
Self Harm ◽  
The Impact ◽  
Predictive Effect

AbstractBackground and aimsInternet addiction (IA) is common among young students. This study aimed to examine the influence and mechanisms of IA and susceptible personality traits on the impact of suicidal ideation in adolescent students in China.MethodsThis cross-sectional study (09/2012–09/2015) used stratified cluster sampling with “school type” for stratification; 136,266 students from 63 schools completed the questionnaire. Logistic regression analysis was performed to estimate the effect of IA (Young's Internet Addiction Test) and susceptible personality (Barratt impulsiveness scale, Buss & Perry Aggression Questionnaire; and Eysenck Personality Questionnaire-R Short Scale) on suicidal ideation (Scale of Suicidal Ideation).ResultsSuicidal ideation was observed in 20,218 (14.77%) of the students, and IA was detected in 28,836 (21.16%) subjects. Compared with those without IA, students with IA had a higher prevalence of suicidal ideation (P < 0.0001). No planning impulsiveness had a predictive effect on suicidal ideation in the impulsive personality trait, while in the aggressive personality trait, hostility and self-aggression had a predictive effect on suicidal ideation (all P < 0.0001). High psychoticism and neuroticism were impact factors for suicidal ideation, but extroversion was a protective factor (all P < 0.0001).DiscussionThese results highlight the importance of assessing personality traits and reducing IA as a possible means of lessening suicidal ideation. Susceptible personality (such as high psychoticism, high neuroticism, and low extroversion) play a prominent role in influencing the probability of having suicidal behavior among those recently exposed to IA.ConclusionsIA and susceptible personality traits were significantly correlated with suicidal and self-harm ideation among adolescent students.

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