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

Wang, Ligang; Luo, Jing; Bai, Yu; Kong, Jie; Gao, Wenbin; Sun, Xiao

doi:10.3109/16066359.2012.690053

Cited by 113 publications

(82 citation statements)

References 33 publications

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“…Moreover, the following Internet use variables were found to be associated with Internet addiction in adolescents: age of first exposure to the Internet [195], Internet use for entertainment purposes [63], frequency and length of Internet use [45,63,64,76], Internet access at home [61], Internet usage at an Internet café [70,78], the use of online gaming [46,52,69,196], social applications [45,46,52], and other Internet applications [69]. In addition to this, parental guidance with regards to Internet behaviours was reported to be associated with Internet addiction, specifically little parental communication about Internet use, rules about Internet times [41], and a lack of rules regarding Internet use [50].…”

Section: Internet Use Variablesmentioning

confidence: 99%

“…The sample sizes ranged from 1,270 in Greece [71,72] to 10,988 adolescents and young adults in China, aged 13-23 years [78] The same cut-off, i.e., endorsing a minimum of five out of eight diagnostic items, has been applied to a majority of these studies. Internet addiction prevalence rates ranged from 1.7% of boys and 1.4% of girls in a representative sample of Finnish adolescents [77] to 26.4% and 26.7% at wave one and wave two in a longitudinal sample of adolescent students in Hong Kong, respectively [73].…”

Section: Prevalence Of Internet Addiction In Adolescentsmentioning

confidence: 99%

“…In eleven studies, the IADQ [13] was used to assess Internet addiction in adolescents [68][69][70][71][72][73][74][75][76][77][78]. The sample sizes ranged from 1,270 in Greece [71,72] to 10,988 adolescents and young adults in China, aged 13-23 years [78] The same cut-off, i.e., endorsing a minimum of five out of eight diagnostic items, has been applied to a majority of these studies.…”

Section: Prevalence Of Internet Addiction In Adolescentsmentioning

confidence: 99%

“…Psychosocial factors have included internal characteristics such as Internet use for mood regulation [42], low life satisfaction [63,78], low well-being [40], loneliness [43,63], lack of confidants [50], preference for online social interaction, negative life outcomes [42]. Moreover, the following personality characteristics were reported: novelty seeking, harm avoidance, and low reward dependence [86], low self-esteem [78], frustration intolerance (particularly for males) [83], introversion [40], low agreeableness, low emotional stability [40,52], low conscientiousness and resourcefulness [52].…”

Section: Psychosocial Factorsmentioning

confidence: 99%

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Internet Addiction: A Systematic Review of Epidemiological Research for the Last Decade

Kuss¹,

Griffiths²,

Karila³

et al. 2014

CPD

1,094

857

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Abstract:In the last decade, Internet usage has grown tremendously on a global scale. The increasing popularity and frequency of Internet use has led to an increasing number of reports highlighting the potential negative consequences of overuse. Over the last decade, research into Internet addiction has proliferated. This paper reviews the existing 68 epidemiological studies of Internet addiction that (i) contain quantitative empirical data, (ii) have been published after 2000, (iii) include an analysis relating to Internet addiction, (iv) include a minimum of 1000 participants, and (v) provide a full-text article published in English using the database Web of Science. Assessment tools and conceptualisations, prevalence, and associated factors in adolescents and adults are scrutinised. The results reveal the following. First, no gold standard of Internet addiction classification exists as 21 different assessment instruments have been identified. They adopt official criteria for substance use disorders or pathological gambling, no or few criteria relevant for an addiction diagnosis, time spent online, or resulting problems. Second, reported prevalence rates differ as a consequence of different assessment tools and cut-offs, ranging from 0.8% in Italy to 26.7% in Hong Kong. Third, Internet addiction is associated with a number of sociodemographic, Internet use, and psychosocial factors, as well as comorbid symptoms and disorder in adolescents and adults. The results indicate that a number of core symptoms (i.e., compulsive use, negative outcomes and salience) appear relevant for diagnosis, which assimilates Internet addiction and other addictive disorders and also differentiates them, implying a conceptualisation as syndrome with similar etiology and components, but different expressions of addictions. Limitations include the exclusion of studies with smaller sample sizes and studies focusing on specific online behaviours. Conclusively, there is a need for nosological precision so that ultimately those in need can be helped by translating the scientific evidence established in the context of Internet addiction into actual clinical practice.

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Section: Internet Use Variablesmentioning

confidence: 99%

Section: Prevalence Of Internet Addiction In Adolescentsmentioning

confidence: 99%

Section: Prevalence Of Internet Addiction In Adolescentsmentioning

confidence: 99%

Section: Psychosocial Factorsmentioning

confidence: 99%

See 2 more Smart Citations

Internet Addiction: A Systematic Review of Epidemiological Research for the Last Decade

Kuss¹,

Griffiths²,

Karila³

et al. 2014

CPD

1,094

857

View full text Add to dashboard Cite

show abstract

“…The reported prevalence rates of Internet addiction varied dramatically, ranging from 0.8% in high school students in Italy to 20.3% of adolescents and 13.8% of children in South Korea. Using the Internet Addiction Diagnostic Questionnaire (Young, 1998), Internet addiction was assessed in 11 studies, with sample sizes ranging from 1,270 adolescents in Greece to 10,988 adolescents and young adults in China (Wang et al, 2013). The results indicated prevalence rates ranged from 1.6% of Finnish adolescents (Kaltiala-Heino, Lintonen, & Rimpela, 2004) to 26.6% of adolescents in Hong Kong (Shek & Yu, 2012).…”

mentioning

confidence: 99%

Internet Addiction: The Problem and Treatment

Kuss¹

2016

addicta

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Internet Gaming Disorder has recently been included in the appendix of the most recent edition of the Diagnostic and Statistical Manual for Mental Disorders (DSM-5) as a condition which requires further research in order to be incorporated in future iterations of the manual. This suggests the research and clinical communities are becoming increasingly aware of a potential mental health concern. This paper will provide brief insight into the issues of Internet and gaming addiction and will then present results of contemporary treatment research. The results indicate no gold standard exists to measure Internet addiction with high sensitivity and specificity, which is compounded by using dissimilar cut-offs across studies for the same assessment tool. To overcome this diagnostic issue, a diagnosis of Internet addiction would significantly benefit from the inclusion of a structured clinical interview administered by a trained professional, and this would help in the elimination of false positives and false negatives in the context of diagnosis.

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