Internet Addiction Through the Phase of Adolescence: A Questionnaire Study

Karacic, Silvana; Orešković, Stjepan

doi:10.2196/mental.5537

Cited by 93 publications

(82 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Similar to previous cross-sectional studies, males presented with higher IA symptom severity at both 16 and 18 years (although the difference was not statistically significant at 16 years) (Shi et al, 2017;Karacic & Oreskovic, 2017;Ostovar et al, 2016;Anderson et al, 2016;Chen et al, 2015;Choo et al, 2015;Gentile et al, 2011;Haagsma et al, 2013;Hong et al, 2014;Willoughby, 2008;Yu & Shek, 2013;Stavropoulos et al, 2013aStavropoulos et al, , 2013bYen et al, 2009;Shaw & Black, 2008;Johansson & Götestam, 2004).…”

Section: Gender Differences In Understanding Prevention and Treatmensupporting

confidence: 83%

“…Less developed social skills, higher relationship avoidance, and less communicative responses to stress in males (in the context of everyday interaction) may enhance the likelihood of excesive online socialization in males compared with females over time, and thus potentially maintaining higher levels of IA symptoms (Del Giudice, 2011). To our knowledge, although a higher IA risk for males has been shown repeatedly in cross-sectional studies, the present finding is perhaps the first to clarify the nature of IA gender differences longitudinally (Shi et al, 2017;Karacic & Oreskovic, 2017;Ostovar et al, 2016;Anderson et al, 2016;Chen et al, 2015;Choo et al, 2015;Gentile et al, 2011;Haagsma et al, 2013;Hong et al, 2014;Willoughby, 2008;Yu & Shek, 2013;Stavropoulos et al, 2013aStavropoulos et al, , 2013bYen et al, 2009;Shaw & Black, 2008;Johansson & Götestam, 2004). …”

Section: Gender Differences In Understanding Prevention and Treatmensupporting

confidence: 61%

“…Nevertheless, age related effects on IA behaviors during adolescence have been predominantly examined by cross-sectional studies, with some indicating no significant effects of age (Poli & Agrimi, 2012), others suggesting that older adolescents present with higher IA risk (Karacic & Oreskovic, 2017), and the majority of findings concluding that IA behaviors tend to decrease during adolescence (Yen, Ko, Yen, Chang & Cheng, 2009;Bakken, Wenzel, Götestam, Johansson & ØREN, 2009). In that line, and given the significance of the age of onset/ initiation of addictive behaviors in general for their future prognosis (Beard, Haas, Wickham & Stavropoulos, 2017), the past contradictory findings (Poli & Agrimi, 2012;Karacic & Oreskovic, 2017;Yen et al, 2009;Bakken et al, 2009) and the limitations of applying cross-sectional designs to assess maturation effects (e.g. different time cohorts may present with different growth patterns over the same period of development; Motti-Stefanidi & Masten, 2017); the present study is (to the best of the authors' knowledge) the first that aimed to assess this question by implementing a longitudinal design, whilst specifically investigating the time period between 16 and 18 years.…”

Section: Age-related Changesmentioning

confidence: 99%

“…More specifically, longitudinal findings have shown that males are more inclined to develop problems with impulse-control and sensation-seeking behaviors than females, and these symptoms have been associated with IA (Kuss et al, 2014;Shulman, Harden, Chein, & Steinberg, 2015). Additionally, cross-sectional studies of Internet use have indicated adolescent males being at higher risk of IA than adolescent females (Shi, Wang, & Zou, 2017;Karacic & Oreskovic, 2017;Ostovar et al, 2016;Anderson et al, 2016;Chen et al, 2015;Choo et al, 2015;Gentile et al, 2011;Haagsma et al, 2013;Hong et al, 2014;Willoughby, 2008;Yu & Shek, 2013;Stavropoulos et al, 2013a;Yen et al, 2009;Shaw & Black, 2008;Johansson & Götestam, 2004). Higher digital skills and preference for more addictive applications (such as gaming) have been suggested to explain these findings (Kuss & Griffiths, 2012).…”

Section: Gendermentioning

confidence: 99%

See 3 more Smart Citations

Flow on the Internet: a longitudinal study of Internet addiction symptoms during adolescence

Stavropoulos

Griffiths

Burleigh

et al. 2018

Behaviour & Information Technology

View full text Add to dashboard Cite

Internet Addiction (IA) constitutes an excessive internet use behavior with significant impact on the user's wellbeing. Online flow describes the users' level of being absorbed by their online activity. The present study investigated age-related, gender, and flow effects on IA in adolescence. The sample comprised 648 adolescents who were assessed twice at age 16 and 18 years. IA was assessed using the Internet Addiction Test and online flow was assessed using the Online Flow Questionnaire. A three-level hierarchical model estimated age-related, gender, and online flow effects on IA symptoms and controlled for clustered random effects.IA symptoms decreased over time (for both genders) with a slower rate in males. Online flow was associated with IA symptoms and this remained consistent over time. Findings expand upon the available literature suggesting that IA symptoms could function as a developmentrelated manifestation at the age of 16 years, while IA-related gender differences gradually increase between 16 and 18 years. Finally, the association between online flow and IA symptoms remained stable independent of age-related effects. The study highlights individual differences and provides directions for more targeted prevention and intervention initiatives for IA.

show abstract

Section: Gender Differences In Understanding Prevention and Treatmensupporting

confidence: 83%

Section: Gender Differences In Understanding Prevention and Treatmensupporting

confidence: 61%

Section: Age-related Changesmentioning

confidence: 99%

Section: Gendermentioning

confidence: 99%

See 2 more Smart Citations

Flow on the Internet: a longitudinal study of Internet addiction symptoms during adolescence

Stavropoulos

Griffiths

Burleigh

et al. 2018

Behaviour & Information Technology

View full text Add to dashboard Cite

show abstract

“…They used internet for school/work (20.2%) and entertainment (11.9%). [31] Other study done by Miao (2017) [32] found that Social networking, school work, entertainment, gaming and shopping ranked as the top five among all the online activities. According to literature, values used as reference points to characterize long electronic devices use time varies between 2 and 5 hours/day.…”

Section: Discussionmentioning

confidence: 94%

Effect of excessive internet use in Saudi and Egyptian teenagers’ health: Comparative study

Nafee¹,

Mohammed²,

Al-Hamdan³

2018

JNEP

View full text Add to dashboard Cite

Using of the internet today is a growing part of any society. Teenagers are the most users of the internet at their home and/or school. Therefore, it changes their daily lives in terms of physical, social, and psychological status that may exaggerated to be an internet addiction disorder or a physical problem. The aim of the study was to recognize the effects of excessive internet use in Saudi and Egyptian teenagers' health. The design used to conduct the present study was a descriptive correlation design, a convenient sample of 668 teenagers who were recruited from intermediate and secondary school from both countries, 331 teenagers from King Saudi Arabia (KSA) and 337 from Arab Republic of Egypt (ARE). Three tools were used for data collection: the first one was a questionnaire including demographic background of the participants and their families. The second was Internet Addiction Test (IAT) Young (1998) and the third pain rating scale to assess the intensity of musculoskeletal pain that encountered by the students. Results show that 86.6% of KSA teenagers used the internet daily compared to 69.6% in ARE. Regarding internet addiction, in teenagers, 0.9% were severe, 45.3% moderate and 47.7% mild compared to 0.3%, 46.3% and 44.2% in ARE one, 67.3% of KSA teenagers have musculoskeletal pain with internet usage compared to 74.3% in ARE teenagers. No significant relation was found between both groups in relation to internet addiction. A significant relations were found in Saudi students' socio-demographic data and their level of internet addiction in the area of academic level (p ≤ .001), and level of academic achievement (p = .037). No significant relation was found in the same area for Egyptian students. The researchers suggest further studies to be conducted in this field on larger sample size for both genders to identify the other factors related to excessive internet use.

show abstract

The relationship between problematic Internet use in adolescents and emotion regulation difficulty and family Internet attitude

Günaydın

Arıcı

Kutlu

et al. 2021

Journal Community Psychology

View full text Add to dashboard Cite

The study aims to determine the relationship between problematic Internet use in adolescents and emotion regulation difficulty and family Internet attitude. The study used a descriptive and correlational design. The sample of the study consisted of 5916 students. The data were collected using the “Problematic Internet Use Scale,” “Difficulties in Emotion Regulation Scale,” “Internet Parental Style Scale.” The total score on the Problematic Internet Use Scale was 55.41 ± 19.60 while the total score on the Difficulties in Emotion Regulation Scale was 97.51 ± 17.84. Considering the Internet parental styles, it was found that 42.89% of the parents had a negligent attitude. According to the results of the logistic regression analysis performed, grade level was found to affect problematic Internet use. A highly significant correlation was found between problematic Internet use and emotional regulation difficulties and family control of family Internet attitude (p < 0.01). This study determined that adolescents' grade level and excessive Internet use of the father were effective in the problematic Internet use of the adolescents. Adolescents' difficulties in emotion regulation and the type of families' attitudes towards Internet use were associated with problematic Internet use. In accordance with these results, it can be recommended to form programs to decrease problematic Internet use.

show abstract

Internet Addiction Through the Phase of Adolescence: A Questionnaire Study

Cited by 93 publications

References 15 publications

Flow on the Internet: a longitudinal study of Internet addiction symptoms during adolescence

Flow on the Internet: a longitudinal study of Internet addiction symptoms during adolescence

Effect of excessive internet use in Saudi and Egyptian teenagers’ health: Comparative study

The relationship between problematic Internet use in adolescents and emotion regulation difficulty and family Internet attitude

Contact Info

Product

Resources

About