Predictors Of Internet Addiction Research Articles

흡연청소년의 인터넷 중독, 우울 및 불안에 관한 연구

Abstract This study was performed to investigate the relations between internet addiction, depression, and anxiety in smoking adolescents. In order to get the data by self-questionnaire, 202 subjects were selected from Aug. 15 to Sep. 20, 2012. The data was analyzed by mean, standard deviation, t-test, ANOVA, Pearson’s correlation coefficient, and multiple regression using SPSS/WIN 18.0 program. Internet addiction score was 30.9±6.55, depression score was 9.0±4.76, and anxiety score was 12.3±5.31. There were significant positive correlations between internet addiction and depression, between internet addiction and anxiety, between depression and anxiety. Multiple regression analysis revealed that the predictors of internet addiction were average number of days drinking alcohol per month, average daily cigarette consumption and starting daily smoking age. The findings of study will be used for basic information to prevent and control internet addiction of smoking adolescents. Key Words :

Internet addiction of adolescents in China: Prevalence, predictors, and association with well-being

Internet addiction is a mental health problem that affects a significant number of people worldwide. Our study attempted to investigate the prevalence of Internet addiction among Chinese adolescents and to explore the predictors of Internet addiction and its association with well-being. A total of 10,988 adolescents from nine different cities in China were surveyed using the Diagnostic Questionnaire (DQ) for Internet addiction, the Center for Epidemiologic Studies Depression Scale, the Rosenberg Self-esteem Scale, and the Adolescent's Satisfaction with Life Scale. The mean age of the whole sample was 17.2 years (ranging from 13 to 23 years). The prevalence rate of Internet addiction among the surveyed adolescents was 7.5%, which was influenced by gender and grade (χ2 = 74.027, p < 0.001; χ2 = 7.162, p < 0.05). The breadth of extracurricular activities, the age when people used Internet for the first time, and whether people used Internet for the first time in Internet bar were significant predictors of Internet addiction (β = −0.065, p < 0.001; β = −0.101, p < 0.001; β = 0.545, p < 0.001). Finally, our study found evidence demonstrating the link between Internet addiction and well-being. Increased symptoms of problematic use were associated with decreased self-esteem (F = 258.344, p < 0.001), satisfaction with life (F = 232.428, p < 0.001), and increased depression (F = 607.062, p < 0.001).

The effects of behavioral inhibition/approach system as predictors of Internet addiction in adolescents

This study aimed to determine how the Behavioral Inhibition System (BIS) and the Behavioral Approach System (BAS) affect Internet addiction in adolescents. Two hundred and eleven high school students participated in this study and completed the Young’s Internet Addiction Test (IAT), BIS/BAS scales, and several self-administered questionnaires about depression, anxiety, and impulsivity. Hierarchical regressions showed that BIS and BAS×BIS emerged as significant predictors of IAT; however, only BAS-fun seeking subscale predicted IAT among BAS related subscales. In further analyses, the BAS-fun seeking subscale was mediated by impulsivity and anxiety, and BIS was mediated by anxiety and depression. The current findings imply that BIS and BAS interdependently influence vulnerability to Internet addiction through both shared (anxiety) and different (depression and impulsivity, respectively) pathways.

The Predictive Relationship Between Emotion Management Skills and Internet Addiction

The relationship between emotion management skills and the use of the Internet was examined in this study to determine whether or not the emotion management skills of university students are a predictor of Internet addiction. The study was conducted in the 2008/2009 academic year with 345 students from different departments of a university in Turkey. Data were collected using the Emotion Management Skills Inventory (Çeçen, 2006) and the Problematic Internet Usage Scale (Ceyhan, Ceyhan, &amp; Gürcan, 2007). Results of regression analysis showed that the total measure of emotion management skills predicted the levels of Internet addiction.

Psychiatric Symptoms May Predict Internet Addiction in Adolescents

Internet addiction affects up to 18% of adolescents in both Western and Eastern societies. Although no universally accepted definition exists for this

Table of Contents

AbstractA Closer Look at Non‐Suicidal Self‐Injury in AdolescentsStaying Faithful to Our Roots: Experiential Learning in Cognitive Behavioral PsychotherapyDeficits in Dopamine System in ADHD1 in 91 Children has AutismStimulant Use and Sudden Unexplained DeathMultifamily Treatment for Children With Mood DisordersPsychiatric Symptoms May Predict Internet Addiction in TeensDissonance‐Based Eating Disorder Prevention ProgramEmotion: An Integrative Framework for Child Psychotherapy

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AbstractHyde, SAMHSA Nominee, Led Historic Integration Initiative in New MexicoPromising Findings on Cocaine Vaccine Collide With Drugmakers' IndifferenceHyde, Merger SpecialistSAPRP Presents Roadmap for Future Research as it Closes its DoorsPsychiatric Disorders May Predict Internet Addiction in TeensSebelius Responds to Congress Requests for Parity RuleCDC: Overdose Deaths from Opioid Analgesics More Than TripledBriefly NotedState NewsBusinessNames in the NewsComing up

The Role of Positive/Negative Outcome Expectancy and Refusal Self-Efficacy of Internet Use on Internet Addiction among College Students in Taiwan

Based on Bandura's social cognitive theory, this study was designed to examine positive and negative outcome expectancy and refusal self-efficacy of Internet use and their contribution to Internet addiction among college students by using hierarchical multiple regression analyses in a cross-sectional study design. Schools were first stratified into technical or nontechnical colleges and then into seven majors. A cluster random sampling by department was further applied to randomly choose participants from each major. A representative sample of 4,456 college students participated in this study. The Outcome Expectancy and Refusal Self-Efficacy of Internet Use Questionnaire and the Chen Internet Addiction Scale were used to assess the cognitive factors and the levels of Internet addiction. Results showed that both positive outcome expectancy and negative outcome expectancy were significantly and positively correlated with Internet addiction, and refusal self-efficacy of Internet use was significantly and negatively related to Internet addiction. Further analyses revealed that refusal self-efficacy of Internet use directly and negatively predicted Internet addiction. Moreover, we discovered that positive outcome expectancy positively predicted Internet addiction via refusal self-efficacy of Internet use; however, surprisingly, negative outcome expectancy had both a direct and indirect positive relationship in predicting Internet addiction via the refusal self-efficacy of Internet use. These results give empirical evidence to verify the theoretical effectiveness of the three cognitive factors to Internet addiction and should be incorporated when designing prevention programs and strategies for Internet addicted college students.

Gender Differences in Relationships of Actual and Virtual Social Support to Internet Addiction Mediated through Depressive Symptoms among College Students in Taiwan

This study examined gender differences in the relationships of actual and virtual social support to Internet addiction mediated through depressive symptoms among college students in Taiwan. Results revealed that in females, both actual and virtual social support directly predicted Internet addiction or were mediated through depressive symptoms. However, in males, while Internet addiction was predicted by virtual social support directly or indirectly mediated through depressive symptoms, the link of actual social support to Internet addiction was only mediated through depressive symptoms. Furthermore, in both genders, lower actual social support and higher virtual social support were associated with higher depressive symptoms.

Shyness and Locus of Control as Predictors of Internet Addiction and Internet Use

The new psychological disorder of Internet addiction is fast accruing both popular and professional recognition. Past studies have indicated that some patterns of Internet use are associated with loneliness, shyness, anxiety, depression, and self-consciousness, but there appears to be little consensus about Internet addiction disorder. This exploratory study attempted to examine the potential influences of personality variables, such as shyness and locus of control, online experiences, and demographics on Internet addiction. Data were gathered from a convenient sample using a combination of online and offline methods. The respondents comprised 722 Internet users mostly from the Net-generation. Results indicated that the higher the tendency of one being addicted to the Internet, the shyer the person is, the less faith the person has, the firmer belief the person holds in the irresistible power of others, and the higher trust the person places on chance in determining his or her own course of life. People who are addicted to the Internet make intense and frequent use of it both in terms of days per week and in length of each session, especially for online communication via e-mail, ICQ, chat rooms, newsgroups, and online games. Furthermore, full-time students are more likely to be addicted to the Internet, as they are considered high-risk for problems because of free and unlimited access and flexible time schedules. Implications to help professionals and student affairs policy makers are addressed.

Shyness and Locus of Control as Predictors of Internet Addiction and Internet Use

The new psychological disorder of Internet addiction is fast accruing both popular and professional recognition. Past studies have indicated that some patterns of Internet use are associated with loneliness, shyness, anxiety, depression, and self-consciousness, but there appears to be little consensus about Internet addiction disorder. This exploratory study attempted to examine the potential influences of personality variables, such as shyness and locus of control, online experiences, and demographics on Internet addiction. Data were gathered from a convenient sample using a combination of online and offline methods. The respondents comprised 722 Internet users mostly from the Net-generation. Results indicated that the higher the tendency of one being addicted to the Internet, the shyer the person is, the less faith the person has, the firmer belief the person holds in the irresistible power of others, and the higher trust the person places on chance in determining his or her own course of life. People who are addicted to the Internet make intense and frequent use of it both in terms of days per week and in length of each session, especially for online communication via e-mail, ICQ, chat rooms, newsgroups, and online games. Furthermore, full-time students are more likely to be addicted to the Internet, as they are considered high-risk for problems because of free and unlimited access and flexible time schedules. Implications to help professionals and student affairs policy makers are addressed.